==================== Test output for //tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu (shard 9 of 16): 2023-05-20 06:16:17.226032: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.11.3: /usr/local/bin/python3 [ RUN ] CompositeTensorTest.test_vectorized_map_gathers_composite_tensors INFO:tensorflow:time(__main__.CompositeTensorTest.test_vectorized_map_gathers_composite_tensors): 0.34s I0520 06:16:22.601232 281473562080128 test_util.py:2464] time(__main__.CompositeTensorTest.test_vectorized_map_gathers_composite_tensors): 0.34s [ OK ] CompositeTensorTest.test_vectorized_map_gathers_composite_tensors [ RUN ] NNTest.test_avg_pool3d INFO:tensorflow:Running test_avg_pool3d in GRAPH mode. I0520 06:16:22.602245 281473562080128 test_util.py:1494] Running test_avg_pool3d in GRAPH mode. WARNING:tensorflow:From /usr/lib/python3.11/contextlib.py:105: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `self.session()` or `self.cached_session()` instead. W0520 06:16:22.602608 281473562080128 deprecation.py:364] From /usr/lib/python3.11/contextlib.py:105: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `self.session()` or `self.cached_session()` instead. 2023-05-20 06:16:22.920754: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:375] MLIR V1 optimization pass is not enabled INFO:tensorflow:time(__main__.NNTest.test_avg_pool3d): 0.46s I0520 06:16:23.062316 281473562080128 test_util.py:2464] time(__main__.NNTest.test_avg_pool3d): 0.46s INFO:tensorflow:Running test_avg_pool3d in EAGER mode. I0520 06:16:23.064804 281473562080128 test_util.py:1503] Running test_avg_pool3d in EAGER mode. INFO:tensorflow:time(__main__.NNTest.test_avg_pool3d): 0.37s I0520 06:16:23.437729 281473562080128 test_util.py:2464] time(__main__.NNTest.test_avg_pool3d): 0.37s [ OK ] NNTest.test_avg_pool3d [ RUN ] NNTest.test_max_pool3d INFO:tensorflow:Running test_max_pool3d in GRAPH mode. I0520 06:16:23.439475 281473562080128 test_util.py:1494] Running test_max_pool3d in GRAPH mode. WARNING:tensorflow:Calling GradientTape.gradient on a persistent tape inside its context is significantly less efficient than calling it outside the context (it causes the gradient ops to be recorded on the tape, leading to increased CPU and memory usage). Only call GradientTape.gradient inside the context if you actually want to trace the gradient in order to compute higher order derivatives. W0520 06:16:23.580381 281473562080128 backprop.py:1009] Calling GradientTape.gradient on a persistent tape inside its context is significantly less efficient than calling it outside the context (it causes the gradient ops to be recorded on the tape, leading to increased CPU and memory usage). Only call GradientTape.gradient inside the context if you actually want to trace the gradient in order to compute higher order derivatives. [ FAILED ] NNTest.test_max_pool3d INFO:tensorflow:time(__main__.NNTest.test_max_pool3d): 0.79s I0520 06:16:24.227742 281473562080128 test_util.py:2464] time(__main__.NNTest.test_max_pool3d): 0.79s [ RUN ] PForTest.test_parallel_iterations INFO:tensorflow:Running test_parallel_iterations in GRAPH mode. I0520 06:16:24.231457 281473562080128 test_util.py:1494] Running test_parallel_iterations in GRAPH mode. INFO:tensorflow:time(__main__.PForTest.test_parallel_iterations): 3.83s I0520 06:16:28.066326 281473562080128 test_util.py:2464] time(__main__.PForTest.test_parallel_iterations): 3.83s INFO:tensorflow:Running test_parallel_iterations in EAGER mode. I0520 06:16:28.091649 281473562080128 test_util.py:1503] Running test_parallel_iterations in EAGER mode. WARNING:tensorflow:5 out of the last 5 calls to .f at 0xfffe703aea20> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. W0520 06:16:28.991666 281473562080128 polymorphic_function.py:161] 5 out of the last 5 calls to .f at 0xfffe703aea20> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. WARNING:tensorflow:6 out of the last 6 calls to .f at 0xfffe703aea20> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. W0520 06:16:29.218259 281473562080128 polymorphic_function.py:161] 6 out of the last 6 calls to .f at 0xfffe703aea20> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. INFO:tensorflow:time(__main__.PForTest.test_parallel_iterations): 1.95s I0520 06:16:30.042025 281473562080128 test_util.py:2464] time(__main__.PForTest.test_parallel_iterations): 1.95s [ OK ] PForTest.test_parallel_iterations [ RUN ] PartitionedCallTest.test_gradients INFO:tensorflow:time(__main__.PartitionedCallTest.test_gradients): 0.94s I0520 06:16:30.986894 281473562080128 test_util.py:2464] time(__main__.PartitionedCallTest.test_gradients): 0.94s [ OK ] PartitionedCallTest.test_gradients [ RUN ] RandomTest.test_random_standard_normal INFO:tensorflow:time(__main__.RandomTest.test_random_standard_normal): 0.15s I0520 06:16:31.140692 281473562080128 test_util.py:2464] time(__main__.RandomTest.test_random_standard_normal): 0.15s [ OK ] RandomTest.test_random_standard_normal [ RUN ] SparseTest.test_sparse_result_indices_stacked [ SKIPPED ] SparseTest.test_sparse_result_indices_stacked INFO:tensorflow:time(__main__.SparseTest.test_sparse_result_indices_stacked): 0.0s I0520 06:16:31.142086 281473562080128 test_util.py:2464] time(__main__.SparseTest.test_sparse_result_indices_stacked): 0.0s [ RUN ] SpectralTest.test_rfft1 (._rfft at 0xfffedb7f3d80>) INFO:tensorflow:time(__main__.SpectralTest.test_rfft1 (._rfft at 0xfffedb7f3d80>)): 0.29s I0520 06:16:31.431166 281473562080128 test_util.py:2464] time(__main__.SpectralTest.test_rfft1 (._rfft at 0xfffedb7f3d80>)): 0.29s [ OK ] SpectralTest.test_rfft1 (._rfft at 0xfffedb7f3d80>) [ RUN ] TensorArrayTest.test_create_inside_and_scatter [ SKIPPED ] TensorArrayTest.test_create_inside_and_scatter INFO:tensorflow:time(__main__.TensorArrayTest.test_create_inside_and_scatter): 0.0s I0520 06:16:31.432765 281473562080128 test_util.py:2464] time(__main__.TensorArrayTest.test_create_inside_and_scatter): 0.0s [ RUN ] TensorListTest.test_create_outside_and_read INFO:tensorflow:Running test_create_outside_and_read in GRAPH mode. I0520 06:16:31.433334 281473562080128 test_util.py:1494] Running test_create_outside_and_read in GRAPH mode. INFO:tensorflow:time(__main__.TensorListTest.test_create_outside_and_read): 0.4s I0520 06:16:31.838088 281473562080128 test_util.py:2464] time(__main__.TensorListTest.test_create_outside_and_read): 0.4s INFO:tensorflow:Running test_create_outside_and_read in EAGER mode. I0520 06:16:31.840508 281473562080128 test_util.py:1503] Running test_create_outside_and_read in EAGER mode. INFO:tensorflow:time(__main__.TensorListTest.test_create_outside_and_read): 0.61s I0520 06:16:32.446754 281473562080128 test_util.py:2464] time(__main__.TensorListTest.test_create_outside_and_read): 0.61s [ OK ] TensorListTest.test_create_outside_and_read [ RUN ] TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape INFO:tensorflow:Running wrapper in GRAPH mode. I0520 06:16:32.447947 281473562080128 test_util.py:1494] Running wrapper in GRAPH mode. INFO:tensorflow:time(__main__.TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape): 3.58s I0520 06:16:36.030807 281473562080128 test_util.py:2464] time(__main__.TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape): 3.58s INFO:tensorflow:Running wrapper in EAGER mode. I0520 06:16:36.037061 281473562080128 test_util.py:1503] Running wrapper in EAGER mode. INFO:tensorflow:time(__main__.TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape): 1.67s I0520 06:16:37.710578 281473562080128 test_util.py:2464] time(__main__.TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape): 1.67s [ OK ] TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape [ RUN ] WhileV1Test.test_invariant_while [ SKIPPED ] WhileV1Test.test_invariant_while INFO:tensorflow:time(__main__.WhileV1Test.test_invariant_while): 0.0s I0520 06:16:37.711846 281473562080128 test_util.py:2464] time(__main__.WhileV1Test.test_invariant_while): 0.0s [ RUN ] WhileV2Test.test_while INFO:tensorflow:Running test_while in GRAPH mode. I0520 06:16:37.712450 281473562080128 test_util.py:1494] Running test_while in GRAPH mode. INFO:tensorflow:time(__main__.WhileV2Test.test_while): 1.89s I0520 06:16:39.603861 281473562080128 test_util.py:2464] time(__main__.WhileV2Test.test_while): 1.89s INFO:tensorflow:Running test_while in EAGER mode. I0520 06:16:39.608663 281473562080128 test_util.py:1503] Running test_while in EAGER mode. INFO:tensorflow:time(__main__.WhileV2Test.test_while): 1.37s I0520 06:16:40.976854 281473562080128 test_util.py:2464] time(__main__.WhileV2Test.test_while): 1.37s [ OK ] WhileV2Test.test_while ====================================================================== FAIL: test_max_pool3d (__main__.NNTest.test_max_pool3d) NNTest.test_max_pool3d ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1498, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2335, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/parallel_for/control_flow_ops_test.py", line 720, in test_max_pool3d self._test_loop_fn(loop_fn, 3) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/parallel_for/test_util.py", line 76, in _test_loop_fn self.run_and_assert_equal(t1, t2, rtol=rtol, atol=atol) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/parallel_for/test_util.py", line 44, in run_and_assert_equal self.assertAllClose(outputs[i + n], outputs[i], rtol=rtol, atol=atol) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1539, in decorated return f(*args, **kwds) ^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3172, in assertAllClose self._assertAllCloseRecursive(a, b, rtol=rtol, atol=atol, msg=msg) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3128, in _assertAllCloseRecursive self._assertArrayLikeAllClose( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3065, in _assertArrayLikeAllClose np.testing.assert_allclose( File "/usr/local/lib/python3.11/dist-packages/numpy/testing/_private/utils.py", line 1527, in assert_allclose assert_array_compare(compare, actual, desired, err_msg=str(err_msg), File "/usr/local/lib/python3.11/dist-packages/numpy/testing/_private/utils.py", line 844, in assert_array_compare raise AssertionError(msg) AssertionError: Not equal to tolerance rtol=0.0001, atol=1e-05 Mismatched value: a is different from b. not close where = (array([2]), array([1]), array([0]), array([9]), array([9]), array([2])) not close lhs = [0.] not close rhs = [0.9971299] not close dif = [0.9971299] not close tol = [0.00010971] dtype = float32, shape = (3, 3, 2, 12, 12, 3) Mismatched elements: 1 / 7776 (0.0129%) Max absolute difference: 0.9971299 Max relative difference: 1. x: array([[[[[[0. , 0. , 0. ], [0. , 0. , 0.9158 ], [0. , 0. , 0. ],... y: array([[[[[[0. , 0. , 0. ], [0. , 0. , 0.9158 ], [0. , 0. , 0. ],... ---------------------------------------------------------------------- Ran 13 tests in 18.720s FAILED (failures=1, skipped=3) ================================================================================ ==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 1 of 8): 2023-05-20 06:20:08.355307: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.11.3: /usr/local/bin/python3 [ RUN ] DTensorDatasetTest.testForInIterationEager I0520 06:20:14.045124 281473171157888 mesh_util.py:35] This is client 0 of 1 clients I0520 06:20:14.045327 281473171157888 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:20:14.045486 281473171157888 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:20:14.046056 281473171157888 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:20:14.046293 281473171157888 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:20:14.351478: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_0' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_0}}]] 2023-05-20 06:20:14.479162: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:14.658745: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:15.031122: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:15.134606: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:15.175448: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.176191: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.261280: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:15.261994: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:15.348225: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.348947: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.405305: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:15.406084: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.492722: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:15.493419: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.570511: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.571217: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:15.634155: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.634856: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:15.691856: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.692608: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:15.764453: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.765164: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.880214: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:15.880934: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:15.936788: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:15.937509: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:15.993476: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:15.994212: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:16.049503: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:16.050237: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:16.105591: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:16.106390: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:16.160519: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:16.161248: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:16.231953: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:16.232694: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:16.607122: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:4] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): CANCELLED: Operation was cancelled [[{{node tf.StatefulPartitionedCall/eager_operation}}]] 2023-05-20 06:20:16.618052: E tensorflow/dtensor/cc/dtensor_device.cc:2213] Encountered error while executing function: CopyToMesh__func_3092307638056256880_5950845106898307211_6858324592425701659_1 for mesh : |batch=4,height=2,width=2|0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15|0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15|/job:localhost/replica:0/task:0/device:CPU:0,/job:localhost/replica:0/task:0/device:CPU:1,/job:localhost/replica:0/task:0/device:CPU:2,/job:localhost/replica:0/task:0/device:CPU:3,/job:localhost/replica:0/task:0/device:CPU:4,/job:localhost/replica:0/task:0/device:CPU:5,/job:localhost/replica:0/task:0/device:CPU:6,/job:localhost/replica:0/task:0/device:CPU:7,/job:localhost/replica:0/task:0/device:CPU:8,/job:localhost/replica:0/task:0/device:CPU:9,/job:localhost/replica:0/task:0/device:CPU:10,/job:localhost/replica:0/task:0/device:CPU:11,/job:localhost/replica:0/task:0/device:CPU:12,/job:localhost/replica:0/task:0/device:CPU:13,/job:localhost/replica:0/task:0/device:CPU:14,/job:localhost/replica:0/task:0/device:CPU:15 / error : {{function_node IteratorGetNext__func_7948435794546704995_12989052755378955192_1628789561242421788_0}} End of sequence [[{{node tf.StatefulPartitionedCall/eager_operation}}]] Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors. 2023-05-20 06:20:16.618251: E tensorflow/dtensor/cc/dtensor_device.cc:2247] Error executing CopyToMesh {{function_node IteratorGetNext__func_7948435794546704995_12989052755378955192_1628789561242421788_0}} End of sequence [[{{node tf.StatefulPartitionedCall/eager_operation}}]] Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors. [ FAILED ] DTensorDatasetTest.testForInIterationEager INFO:tensorflow:time(__main__.DTensorDatasetTest.testForInIterationEager): 2.89s I0520 06:20:16.937000 281473171157888 test_util.py:2464] time(__main__.DTensorDatasetTest.testForInIterationEager): 2.89s [ RUN ] DTensorDatasetTest.testIterOnBatchedDatasetGraph I0520 06:20:16.938263 281473171157888 mesh_util.py:35] This is client 0 of 1 clients I0520 06:20:16.938446 281473171157888 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:20:16.938632 281473171157888 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:20:16.939058 281473171157888 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:20:16.939184 281473171157888 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:20:17.144283: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:17.218792: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:17.286712: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:17.352916: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:17.416198: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:17.417078: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:17.547830: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:17.548697: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:17.621114: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:17.622048: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:17.692899: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:17.693815: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:17.764853: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:17.765756: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:17.836641: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:17.837524: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:17.905938: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:17.907006: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:17.975142: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:17.976075: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:18.046067: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:18.047610: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:18.183610: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:18.184512: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:18.249569: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:18.250515: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:18.321063: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:18.322043: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:18.390873: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:18.391781: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:18.470570: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:18.471491: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:18.561670: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:18.562604: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:18.640872: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:18.641760: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:18.788520: I tensorflow/dtensor/cc/dtensor_device.cc:1574] DTensor cache key lookup missed for __inference_train_619. DTensor is (re-)computing its SPMD transformation. 2023-05-20 06:20:18.795418: I tensorflow/dtensor/cc/dtensor_device.cc:1644] DTensor cache key lookup missed for __inference_train_619. DTensor is (re-)computing its ExecutionFunctions. 2023-05-20 06:20:19.018683: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 2.85s I0520 06:20:19.787127 281473171157888 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 2.85s [ OK ] DTensorDatasetTest.testIterOnBatchedDatasetGraph [ RUN ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True) I0520 06:20:19.788621 281473171157888 mesh_util.py:35] This is client 0 of 1 clients I0520 06:20:19.788741 281473171157888 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:20:19.788870 281473171157888 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:20:19.789272 281473171157888 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:20:19.789392 281473171157888 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:20:19.994394: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:20.058575: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:20.059506: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:20.223448: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:20.224343: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:20.337993: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:20.338910: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:20.554176: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:20.555088: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:20.624813: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:20.625742: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:20.754630: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:20.755564: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:20.825032: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:20.825932: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:20.891423: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:20.892333: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:21.124949: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:21.125832: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:21.420265: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:21.421183: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:21.506841: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:21.507746: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:21.676618: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:21.677544: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:21.775288: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:21.776230: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:21.843914: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:21.844834: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:21.916034: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:21.917097: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:21.988643: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:21.989562: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:22.488930: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)): 3.36s I0520 06:20:23.150512 281473171157888 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)): 3.36s [ OK ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True) [ RUN ] DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True) I0520 06:20:23.151870 281473171157888 mesh_util.py:35] This is client 0 of 1 clients I0520 06:20:23.151991 281473171157888 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:20:23.152122 281473171157888 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:20:23.152539 281473171157888 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:20:23.152660 281473171157888 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:20:23.347995: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:23.417942: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:23.529041: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:23.603553: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:23.667606: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:23.668482: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:23.773050: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:23.773962: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:23.948282: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:23.949203: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:24.207362: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:24.208329: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:24.456832: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:24.458360: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:24.592611: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:24.593512: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:24.709434: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:24.710373: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:24.855437: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:24.856414: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:25.022960: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:25.023873: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:25.310092: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:25.311048: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:25.423710: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:25.424633: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:25.638442: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:25.639468: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:25.713365: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:25.714297: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:25.811962: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:25.812865: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:25.893030: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:25.893966: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:26.013692: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:26.014603: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:26.406533: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)): 4.42s I0520 06:20:27.576420 281473171157888 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)): 4.42s [ OK ] DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True) [ RUN ] DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True) I0520 06:20:27.577776 281473171157888 mesh_util.py:35] This is client 0 of 1 clients I0520 06:20:27.577899 281473171157888 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:20:27.578028 281473171157888 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:20:27.578426 281473171157888 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:20:27.578549 281473171157888 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:20:28.478045: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:28.595623: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:28.596563: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:28.771999: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:28.772912: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:29.307913: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:29.308859: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:29.609858: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:29.610803: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:29.681154: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:29.682093: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:29.767153: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:29.768126: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:30.040596: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:30.041591: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:30.181840: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:30.182758: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:30.912143: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:30.913069: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:31.121389: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:31.122381: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:31.659237: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:31.660140: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:32.122371: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:32.123273: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:32.334089: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:32.335028: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:32.484583: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:32.485489: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:32.593221: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:32.594104: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:32.734848: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:32.735730: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:33.199857: I tensorflow/dtensor/cc/dtensor_device.cc:1574] DTensor cache key lookup missed for __inference_train_1463. DTensor is (re-)computing its SPMD transformation. 2023-05-20 06:20:33.206969: I tensorflow/dtensor/cc/dtensor_device.cc:1644] DTensor cache key lookup missed for __inference_train_1463. DTensor is (re-)computing its ExecutionFunctions. 2023-05-20 06:20:33.431584: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)): 7.12s I0520 06:20:34.701615 281473171157888 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)): 7.12s [ OK ] DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True) [ RUN ] DTensorDatasetTest.testMixedLayoutsFails I0520 06:20:34.703198 281473171157888 mesh_util.py:35] This is client 0 of 1 clients I0520 06:20:34.703325 281473171157888 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:20:34.703459 281473171157888 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:20:34.703857 281473171157888 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:20:34.703982 281473171157888 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] INFO:tensorflow:time(__main__.DTensorDatasetTest.testMixedLayoutsFails): 0.24s I0520 06:20:34.945773 281473171157888 test_util.py:2464] time(__main__.DTensorDatasetTest.testMixedLayoutsFails): 0.24s [ OK ] DTensorDatasetTest.testMixedLayoutsFails [ RUN ] InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8]) I0520 06:20:34.947081 281473171157888 mesh_util.py:35] This is client 0 of 1 clients I0520 06:20:34.947210 281473171157888 mesh_util.py:36] Number of global CPU devices: 8 I0520 06:20:34.947340 281473171157888 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7] I0520 06:20:34.947650 281473171157888 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7] I0520 06:20:34.947769 281473171157888 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7'] INFO:tensorflow:time(__main__.InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])): 0.0s I0520 06:20:34.948194 281473171157888 test_util.py:2464] time(__main__.InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])): 0.0s [ OK ] InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8]) ====================================================================== ERROR: testForInIterationEager (__main__.DTensorDatasetTest) DTensorDatasetTest.testForInIterationEager testForInIterationEager(False) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/absl_py/absl/testing/parameterized.py", line 316, in bound_param_test return test_method(self, *testcase_params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/input_util_test.py", line 188, in testForInIteration self.assertDTensorEqual(output, images_layout, d_output) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/test_util.py", line 303, in assertDTensorEqual unpacked = [t.numpy() for t in api.unpack(result_dtensor)] ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/api.py", line 356, in unpack return _dtensor_device().unpack(tensor) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/dtensor_device.py", line 246, in unpack raise core._status_to_exception(e) from None # pylint: disable=protected-access ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tensorflow.python.framework.errors_impl.CancelledError: {{function_node AddV2__func_9153298499254266836_13230101824050524202_2386512056599665587_2}} Function was cancelled before it was started ---------------------------------------------------------------------- Ran 7 tests in 20.905s FAILED (errors=1) ================================================================================ ==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 1 of 8): 2023-05-20 06:20:39.080088: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.11.3: /usr/local/bin/python3 [ RUN ] DTensorDatasetTest.testForInIterationEager I0520 06:20:40.829403 281472910324608 mesh_util.py:35] This is client 0 of 1 clients I0520 06:20:40.829683 281472910324608 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:20:40.829883 281472910324608 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:20:40.830534 281472910324608 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:20:40.830785 281472910324608 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:20:41.115409: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_0' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_0}}]] 2023-05-20 06:20:41.223007: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:41.349347: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:41.554828: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:41.651666: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:41.800172: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:41.800978: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:41.960150: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:41.961013: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:42.126883: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:42.127745: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:42.249906: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:42.251059: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:42.421666: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:42.422532: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:42.570649: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:42.571837: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:42.720006: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:42.720912: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:42.835580: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:42.836640: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:42.955446: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:42.956359: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:43.112074: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:43.112913: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:43.254067: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:43.254964: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:43.392818: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:43.393867: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:43.569663: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:43.570565: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:43.717445: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:43.718331: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:43.839007: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:43.839940: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:44.005942: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:20:44.006960: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:44.703172: E tensorflow/dtensor/cc/dtensor_device.cc:2213] Encountered error while executing function: CopyToMesh__func_16462333556422287417_5950845106898307211_6858324592425701659_1 for mesh : |batch=4,height=2,width=2|0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15|0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15|/job:localhost/replica:0/task:0/device:CPU:0,/job:localhost/replica:0/task:0/device:CPU:1,/job:localhost/replica:0/task:0/device:CPU:2,/job:localhost/replica:0/task:0/device:CPU:3,/job:localhost/replica:0/task:0/device:CPU:4,/job:localhost/replica:0/task:0/device:CPU:5,/job:localhost/replica:0/task:0/device:CPU:6,/job:localhost/replica:0/task:0/device:CPU:7,/job:localhost/replica:0/task:0/device:CPU:8,/job:localhost/replica:0/task:0/device:CPU:9,/job:localhost/replica:0/task:0/device:CPU:10,/job:localhost/replica:0/task:0/device:CPU:11,/job:localhost/replica:0/task:0/device:CPU:12,/job:localhost/replica:0/task:0/device:CPU:13,/job:localhost/replica:0/task:0/device:CPU:14,/job:localhost/replica:0/task:0/device:CPU:15 / error : {{function_node IteratorGetNext__func_17945203369336220051_12989052755378955192_1628789561242421788_0}} End of sequence [[{{node tf.StatefulPartitionedCall/eager_operation}}]] Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors. 2023-05-20 06:20:44.736334: E tensorflow/dtensor/cc/dtensor_device.cc:2247] Error executing CopyToMesh {{function_node IteratorGetNext__func_17945203369336220051_12989052755378955192_1628789561242421788_0}} End of sequence [[{{node tf.StatefulPartitionedCall/eager_operation}}]] Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors. [ FAILED ] DTensorDatasetTest.testForInIterationEager INFO:tensorflow:time(__main__.DTensorDatasetTest.testForInIterationEager): 4.09s I0520 06:20:44.922151 281472910324608 test_util.py:2464] time(__main__.DTensorDatasetTest.testForInIterationEager): 4.09s [ RUN ] DTensorDatasetTest.testIterOnBatchedDatasetGraph I0520 06:20:44.923595 281472910324608 mesh_util.py:35] This is client 0 of 1 clients I0520 06:20:44.923818 281472910324608 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:20:44.924023 281472910324608 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:20:44.924533 281472910324608 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:20:44.924683 281472910324608 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:20:45.504669: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:45.688884: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:45.864570: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:46.106023: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:46.366080: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:46.447499: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:46.626398: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:46.627389: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:46.834124: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:46.835272: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:47.010919: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:47.012075: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:47.194730: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:47.195787: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:47.351279: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:47.352373: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:47.551024: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:47.552258: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:47.750696: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:47.751782: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:47.927126: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:47.928178: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:48.090424: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:48.091510: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:48.256382: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:48.257517: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:48.458293: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:48.459421: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:48.643899: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:48.645104: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:48.882894: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:48.883956: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:49.170905: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:49.172049: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:49.372208: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:49.373261: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:49.618712: I tensorflow/dtensor/cc/dtensor_device.cc:1574] DTensor cache key lookup missed for __inference_train_619. DTensor is (re-)computing its SPMD transformation. 2023-05-20 06:20:49.647391: I tensorflow/dtensor/cc/dtensor_device.cc:1644] DTensor cache key lookup missed for __inference_train_619. DTensor is (re-)computing its ExecutionFunctions. 2023-05-20 06:20:50.006687: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 5.96s I0520 06:20:50.886423 281472910324608 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 5.96s [ OK ] DTensorDatasetTest.testIterOnBatchedDatasetGraph [ RUN ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True) I0520 06:20:50.887773 281472910324608 mesh_util.py:35] This is client 0 of 1 clients I0520 06:20:50.887907 281472910324608 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:20:50.888043 281472910324608 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:20:50.888476 281472910324608 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:20:50.888610 281472910324608 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:20:51.148466: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:51.260617: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:51.261584: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:51.463203: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:51.464178: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:51.658826: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:51.659819: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:51.820270: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:51.821223: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:52.000234: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:52.001155: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:52.176910: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:52.177852: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:52.420024: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:52.420964: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:52.602551: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:52.603504: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:52.830160: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:52.831137: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:52.965482: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:52.986567: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:53.130306: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:53.131278: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:53.311341: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:53.312297: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:53.577072: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:53.578019: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:53.784927: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:53.785877: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:53.966734: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:53.967666: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:54.110206: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:54.111151: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:54.723211: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)): 4.73s I0520 06:20:55.615600 281472910324608 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)): 4.73s [ OK ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True) [ RUN ] DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True) I0520 06:20:55.616994 281472910324608 mesh_util.py:35] This is client 0 of 1 clients I0520 06:20:55.617130 281472910324608 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:20:55.617259 281472910324608 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:20:55.617686 281472910324608 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:20:55.617810 281472910324608 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:20:55.987724: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:56.049390: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:56.198010: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:56.287785: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:20:56.397495: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:56.398390: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:56.574122: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:56.575056: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:56.648857: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:56.649811: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:56.753289: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:56.754202: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:56.963180: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:56.964057: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:57.101986: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:57.102867: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:57.235780: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:57.246837: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:57.460081: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:57.461018: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:57.722080: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:57.722993: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:58.012083: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:20:58.013004: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:58.250012: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:58.250944: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:58.442343: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:58.443313: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:58.852737: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:58.853657: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:59.091576: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:59.092483: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:59.417181: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:20:59.418138: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:20:59.639695: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:20:59.640590: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:00.140880: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)): 4.99s I0520 06:21:00.606539 281472910324608 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)): 4.99s [ OK ] DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True) [ RUN ] DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True) I0520 06:21:00.607916 281472910324608 mesh_util.py:35] This is client 0 of 1 clients I0520 06:21:00.608042 281472910324608 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:21:00.608168 281472910324608 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:21:00.608556 281472910324608 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:21:00.608678 281472910324608 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:21:00.946776: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:01.142765: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:01.143662: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:01.354570: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:01.355464: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:01.487027: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:01.487949: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:01.663627: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:01.664563: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:01.864906: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:01.865861: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:02.026691: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:02.027633: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:02.225849: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:02.227013: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:02.369329: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:02.370306: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:02.549242: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:02.550165: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:02.736652: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:02.737681: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:02.864508: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:02.865434: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:03.099942: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:03.100914: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:03.284248: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:03.285167: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:03.411959: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:03.412889: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:03.573515: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:03.574431: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:03.815432: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:03.816393: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:04.171518: I tensorflow/dtensor/cc/dtensor_device.cc:1574] DTensor cache key lookup missed for __inference_train_1463. DTensor is (re-)computing its SPMD transformation. 2023-05-20 06:21:04.199409: I tensorflow/dtensor/cc/dtensor_device.cc:1644] DTensor cache key lookup missed for __inference_train_1463. DTensor is (re-)computing its ExecutionFunctions. 2023-05-20 06:21:04.492666: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)): 4.74s I0520 06:21:05.344902 281472910324608 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)): 4.74s [ OK ] DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True) [ RUN ] DTensorDatasetTest.testMixedLayoutsFails I0520 06:21:05.346372 281472910324608 mesh_util.py:35] This is client 0 of 1 clients I0520 06:21:05.346523 281472910324608 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:21:05.346656 281472910324608 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:21:05.347060 281472910324608 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:21:05.347187 281472910324608 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] INFO:tensorflow:time(__main__.DTensorDatasetTest.testMixedLayoutsFails): 0.24s I0520 06:21:05.587674 281472910324608 test_util.py:2464] time(__main__.DTensorDatasetTest.testMixedLayoutsFails): 0.24s [ OK ] DTensorDatasetTest.testMixedLayoutsFails [ RUN ] InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8]) I0520 06:21:05.588932 281472910324608 mesh_util.py:35] This is client 0 of 1 clients I0520 06:21:05.589062 281472910324608 mesh_util.py:36] Number of global CPU devices: 8 I0520 06:21:05.589190 281472910324608 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7] I0520 06:21:05.589504 281472910324608 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7] I0520 06:21:05.589621 281472910324608 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7'] INFO:tensorflow:time(__main__.InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])): 0.0s I0520 06:21:05.590036 281472910324608 test_util.py:2464] time(__main__.InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])): 0.0s [ OK ] InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8]) ====================================================================== ERROR: testForInIterationEager (__main__.DTensorDatasetTest) DTensorDatasetTest.testForInIterationEager testForInIterationEager(False) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/absl_py/absl/testing/parameterized.py", line 316, in bound_param_test return test_method(self, *testcase_params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/input_util_test.py", line 188, in testForInIteration self.assertDTensorEqual(output, images_layout, d_output) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/test_util.py", line 303, in assertDTensorEqual unpacked = [t.numpy() for t in api.unpack(result_dtensor)] ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/api.py", line 356, in unpack return _dtensor_device().unpack(tensor) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/dtensor_device.py", line 246, in unpack raise core._status_to_exception(e) from None # pylint: disable=protected-access ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tensorflow.python.framework.errors_impl.CancelledError: {{function_node AddV2__func_1794655120768824411_13230101824050524202_2386512056599665587_2}} Function was cancelled before it was started ---------------------------------------------------------------------- Ran 7 tests in 24.763s FAILED (errors=1) ================================================================================ ==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 1 of 8): 2023-05-20 06:21:09.152760: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.11.3: /usr/local/bin/python3 [ RUN ] DTensorDatasetTest.testForInIterationEager I0520 06:21:10.788511 281473709273984 mesh_util.py:35] This is client 0 of 1 clients I0520 06:21:10.788712 281473709273984 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:21:10.788869 281473709273984 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:21:10.789406 281473709273984 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:21:10.789592 281473709273984 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:21:11.259476: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_0' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_0}}]] 2023-05-20 06:21:11.443413: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:11.619216: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:11.978919: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:12.252384: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:12.290565: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:12.291270: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:12.433424: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:12.434149: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:12.769840: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:12.770551: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:13.037863: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:13.038638: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:13.262062: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:13.262783: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:13.547570: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:13.548327: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:13.694726: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:13.695425: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:13.903975: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:13.904746: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:13.996890: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:13.997626: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:14.157458: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:14.158184: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:14.357373: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:14.358081: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:14.506157: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:14.506944: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:14.563144: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:14.563891: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:14.915643: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:14.916432: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:14.997719: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:14.998495: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:15.155487: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [32,8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:15.156268: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_14' with dtype int32 and shape [3,4] [[{{node Placeholder/_14}}]] 2023-05-20 06:21:15.838213: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:12] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): CANCELLED: Operation was cancelled [[{{node tf.StatefulPartitionedCall/eager_operation}}]] 2023-05-20 06:21:15.877810: E tensorflow/dtensor/cc/dtensor_device.cc:2213] Encountered error while executing function: CopyToMesh__func_14082655464053195644_5950845106898307211_6858324592425701659_1 for mesh : |batch=4,height=2,width=2|0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15|0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15|/job:localhost/replica:0/task:0/device:CPU:0,/job:localhost/replica:0/task:0/device:CPU:1,/job:localhost/replica:0/task:0/device:CPU:2,/job:localhost/replica:0/task:0/device:CPU:3,/job:localhost/replica:0/task:0/device:CPU:4,/job:localhost/replica:0/task:0/device:CPU:5,/job:localhost/replica:0/task:0/device:CPU:6,/job:localhost/replica:0/task:0/device:CPU:7,/job:localhost/replica:0/task:0/device:CPU:8,/job:localhost/replica:0/task:0/device:CPU:9,/job:localhost/replica:0/task:0/device:CPU:10,/job:localhost/replica:0/task:0/device:CPU:11,/job:localhost/replica:0/task:0/device:CPU:12,/job:localhost/replica:0/task:0/device:CPU:13,/job:localhost/replica:0/task:0/device:CPU:14,/job:localhost/replica:0/task:0/device:CPU:15 / error : {{function_node IteratorGetNext__func_224437377610199776_12989052755378955192_1628789561242421788_0}} End of sequence [[{{node tf.StatefulPartitionedCall/eager_operation}}]] Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors. 2023-05-20 06:21:15.878014: E tensorflow/dtensor/cc/dtensor_device.cc:2247] Error executing CopyToMesh {{function_node IteratorGetNext__func_224437377610199776_12989052755378955192_1628789561242421788_0}} End of sequence [[{{node tf.StatefulPartitionedCall/eager_operation}}]] Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors. [ FAILED ] DTensorDatasetTest.testForInIterationEager INFO:tensorflow:time(__main__.DTensorDatasetTest.testForInIterationEager): 5.2s I0520 06:21:15.992255 281473709273984 test_util.py:2464] time(__main__.DTensorDatasetTest.testForInIterationEager): 5.2s [ RUN ] DTensorDatasetTest.testIterOnBatchedDatasetGraph I0520 06:21:15.993329 281473709273984 mesh_util.py:35] This is client 0 of 1 clients I0520 06:21:15.993490 281473709273984 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:21:15.993664 281473709273984 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:21:15.994088 281473709273984 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:21:15.994214 281473709273984 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:21:16.181821: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:16.242480: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:16.321884: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:16.403699: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:16.457190: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:16.458079: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:16.591709: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:16.592617: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:16.715948: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:16.716954: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:16.815520: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:16.856638: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:17.133110: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:17.133959: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:17.260667: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:17.261523: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:17.475344: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:17.476287: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:17.674109: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:17.675048: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:17.818634: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:17.819561: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:17.991666: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:17.992556: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:18.304114: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:18.305019: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:18.583441: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:18.584377: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:18.782756: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:18.783670: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:18.941080: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:18.942018: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:19.203400: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:19.204347: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:19.333745: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:19.334664: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:19.484140: I tensorflow/dtensor/cc/dtensor_device.cc:1574] DTensor cache key lookup missed for __inference_train_619. DTensor is (re-)computing its SPMD transformation. 2023-05-20 06:21:19.491780: I tensorflow/dtensor/cc/dtensor_device.cc:1644] DTensor cache key lookup missed for __inference_train_619. DTensor is (re-)computing its ExecutionFunctions. 2023-05-20 06:21:19.644907: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 4.56s I0520 06:21:20.552346 281473709273984 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 4.56s [ OK ] DTensorDatasetTest.testIterOnBatchedDatasetGraph [ RUN ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True) I0520 06:21:20.553621 281473709273984 mesh_util.py:35] This is client 0 of 1 clients I0520 06:21:20.553741 281473709273984 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:21:20.553870 281473709273984 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:21:20.554270 281473709273984 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:21:20.554390 281473709273984 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:21:21.084519: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:21.176382: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:21.177321: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:21.312551: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:21.313439: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:21.706357: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:21.707297: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:21.857097: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:21.858013: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:22.001776: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:22.002722: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:22.225982: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:22.226923: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:22.414892: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:22.415816: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:22.541955: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:22.542882: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:22.611257: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:22.612174: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:22.821748: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:22.822653: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:22.953713: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:22.954594: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:23.125433: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:23.126362: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:23.233277: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:23.234164: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:23.387704: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:23.388633: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:23.584793: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:23.585713: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:23.819886: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:23.820800: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:24.555748: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)): 4.37s I0520 06:21:24.923399 281473709273984 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)): 4.37s [ OK ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True) [ RUN ] DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True) I0520 06:21:24.924795 281473709273984 mesh_util.py:35] This is client 0 of 1 clients I0520 06:21:24.924921 281473709273984 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:21:24.925049 281473709273984 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:21:24.925467 281473709273984 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:21:24.925588 281473709273984 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:21:25.198040: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:25.478074: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:25.637899: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:25.867772: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:25.998431: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:25.999293: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:26.205961: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:26.206848: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:26.359207: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:26.360117: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:26.504834: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:26.505749: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:26.634165: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:26.635093: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:26.752764: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:26.753637: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:26.894494: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:26.895440: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:27.003696: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:27.004617: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:27.126209: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:27.127147: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:27.280915: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:27.281837: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:27.393588: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:27.394519: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:27.598810: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:27.599772: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:27.722837: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:27.723775: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:27.798326: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:27.799225: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:27.950009: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:27.950969: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:28.103286: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:28.104188: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:28.559337: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)): 4.4s I0520 06:21:29.324691 281473709273984 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)): 4.4s [ OK ] DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True) [ RUN ] DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True) I0520 06:21:29.325956 281473709273984 mesh_util.py:35] This is client 0 of 1 clients I0520 06:21:29.326079 281473709273984 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:21:29.326265 281473709273984 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:21:29.326662 281473709273984 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:21:29.326784 281473709273984 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] 2023-05-20 06:21:29.557263: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-05-20 06:21:29.667577: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:29.668499: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:29.810257: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:29.811120: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:29.965313: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:29.996320: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:30.148578: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:30.149555: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:30.251803: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:30.252709: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:30.403927: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:30.404833: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:30.594205: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:30.595118: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:30.803591: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:30.804499: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:30.953032: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:30.953955: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:31.126693: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:31.127628: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:31.333636: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:31.334520: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:31.467714: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:31.468615: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:31.672695: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:31.673625: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_17' with dtype int32 and shape [3,4] [[{{node Placeholder/_17}}]] 2023-05-20 06:21:31.830542: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:31.831467: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:31.968083: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_5' with dtype float and shape [1] [[{{node Placeholder/_5}}]] 2023-05-20 06:21:31.968996: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_4' with dtype float and shape [8,8,3] [[{{node Placeholder/_4}}]] 2023-05-20 06:21:32.178893: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:32.179782: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_18' with dtype int32 and shape [3,2] [[{{node Placeholder/_18}}]] 2023-05-20 06:21:32.420664: I tensorflow/dtensor/cc/dtensor_device.cc:1574] DTensor cache key lookup missed for __inference_train_1463. DTensor is (re-)computing its SPMD transformation. 2023-05-20 06:21:32.451726: I tensorflow/dtensor/cc/dtensor_device.cc:1644] DTensor cache key lookup missed for __inference_train_1463. DTensor is (re-)computing its ExecutionFunctions. 2023-05-20 06:21:32.640551: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)): 4.02s I0520 06:21:33.342995 281473709273984 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)): 4.02s [ OK ] DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True) [ RUN ] DTensorDatasetTest.testMixedLayoutsFails I0520 06:21:33.344271 281473709273984 mesh_util.py:35] This is client 0 of 1 clients I0520 06:21:33.344387 281473709273984 mesh_util.py:36] Number of global CPU devices: 16 I0520 06:21:33.344513 281473709273984 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0520 06:21:33.344895 281473709273984 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0520 06:21:33.345017 281473709273984 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15'] INFO:tensorflow:time(__main__.DTensorDatasetTest.testMixedLayoutsFails): 0.22s I0520 06:21:33.563217 281473709273984 test_util.py:2464] time(__main__.DTensorDatasetTest.testMixedLayoutsFails): 0.22s [ OK ] DTensorDatasetTest.testMixedLayoutsFails [ RUN ] InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8]) I0520 06:21:33.564448 281473709273984 mesh_util.py:35] This is client 0 of 1 clients I0520 06:21:33.564570 281473709273984 mesh_util.py:36] Number of global CPU devices: 8 I0520 06:21:33.564697 281473709273984 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7] I0520 06:21:33.565001 281473709273984 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7] I0520 06:21:33.565119 281473709273984 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7'] INFO:tensorflow:time(__main__.InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])): 0.0s I0520 06:21:33.565528 281473709273984 test_util.py:2464] time(__main__.InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])): 0.0s [ OK ] InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8]) ====================================================================== ERROR: testForInIterationEager (__main__.DTensorDatasetTest) DTensorDatasetTest.testForInIterationEager testForInIterationEager(False) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/absl_py/absl/testing/parameterized.py", line 316, in bound_param_test return test_method(self, *testcase_params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/input_util_test.py", line 188, in testForInIteration self.assertDTensorEqual(output, images_layout, d_output) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/test_util.py", line 303, in assertDTensorEqual unpacked = [t.numpy() for t in api.unpack(result_dtensor)] ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/api.py", line 356, in unpack return _dtensor_device().unpack(tensor) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/dtensor_device.py", line 246, in unpack raise core._status_to_exception(e) from None # pylint: disable=protected-access ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tensorflow.python.framework.errors_impl.CancelledError: {{function_node AddV2__func_461370727833121386_13230101824050524202_2386512056599665587_2}} Function was cancelled before it was started ---------------------------------------------------------------------- Ran 7 tests in 22.779s FAILED (errors=1) ================================================================================ ==================== Test output for //tensorflow/python/kernel_tests/nn_ops:conv_ops_test_cpu (shard 3 of 4): 2023-05-20 06:22:38.699070: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.11.3: /usr/local/bin/python3 [ RUN ] Conv2DTest.testConv2D1x1Padding INFO:tensorflow:Running testConv2D1x1Padding in GRAPH mode. I0520 06:22:45.256914 281473820160896 test_util.py:1494] Running testConv2D1x1Padding in GRAPH mode. WARNING:tensorflow:From /usr/lib/python3.11/contextlib.py:105: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `self.session()` or `self.cached_session()` instead. W0520 06:22:45.257348 281473820160896 deprecation.py:364] From /usr/lib/python3.11/contextlib.py:105: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `self.session()` or `self.cached_session()` instead. 2023-05-20 06:22:45.305430: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:375] MLIR V1 optimization pass is not enabled WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:154: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. W0520 06:22:45.374140 281473820160896 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:154: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. 2023-05-20 06:22:45.374576: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D1x1Padding): 0.31s I0520 06:22:45.569254 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D1x1Padding): 0.31s INFO:tensorflow:Running testConv2D1x1Padding in EAGER mode. I0520 06:22:45.570747 281473820160896 test_util.py:1503] Running testConv2D1x1Padding in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D1x1Padding): 0.09s I0520 06:22:45.657779 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D1x1Padding): 0.09s [ OK ] Conv2DTest.testConv2D1x1Padding [ RUN ] Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput INFO:tensorflow:Running testConv2D2x2Depth1Padding0x0BackpropInput in GRAPH mode. I0520 06:22:45.658967 281473820160896 test_util.py:1494] Running testConv2D2x2Depth1Padding0x0BackpropInput in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.1s I0520 06:22:45.760500 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.1s INFO:tensorflow:Running testConv2D2x2Depth1Padding0x0BackpropInput in EAGER mode. I0520 06:22:45.761658 281473820160896 test_util.py:1503] Running testConv2D2x2Depth1Padding0x0BackpropInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.05s I0520 06:22:45.812850 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.05s [ OK ] Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput [ RUN ] Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput INFO:tensorflow:Running testConv2D2x2Depth1Padding2x2BackpropInput in GRAPH mode. I0520 06:22:45.814103 281473820160896 test_util.py:1494] Running testConv2D2x2Depth1Padding2x2BackpropInput in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.04s I0520 06:22:45.854561 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.04s INFO:tensorflow:Running testConv2D2x2Depth1Padding2x2BackpropInput in EAGER mode. I0520 06:22:45.855520 281473820160896 test_util.py:1503] Running testConv2D2x2Depth1Padding2x2BackpropInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.02s I0520 06:22:45.879589 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.02s [ OK ] Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput [ RUN ] Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput INFO:tensorflow:Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in GRAPH mode. I0520 06:22:45.880659 281473820160896 test_util.py:1494] Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.04s I0520 06:22:45.922171 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.04s INFO:tensorflow:Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in EAGER mode. I0520 06:22:45.923090 281473820160896 test_util.py:1503] Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.02s I0520 06:22:45.947517 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.02s [ OK ] Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput [ RUN ] Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2 INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2): 0.08s I0520 06:22:46.026296 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2): 0.08s [ OK ] Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2 [ RUN ] Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2 INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in GRAPH mode. I0520 06:22:46.027519 281473820160896 test_util.py:1494] Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.05s I0520 06:22:46.082214 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.05s INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in EAGER mode. I0520 06:22:46.083115 281473820160896 test_util.py:1503] Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.02s I0520 06:22:46.103531 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.02s [ OK ] Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2 [ RUN ] Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2 INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in GRAPH mode. I0520 06:22:46.104392 281473820160896 test_util.py:1494] Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.02s I0520 06:22:46.124372 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.02s INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in EAGER mode. I0520 06:22:46.125155 281473820160896 test_util.py:1503] Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.01s I0520 06:22:46.137582 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.01s [ OK ] Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2 [ RUN ] Conv2DTest.testConv2D2x2FilterStride1x2 INFO:tensorflow:Running testConv2D2x2FilterStride1x2 in GRAPH mode. I0520 06:22:46.138439 281473820160896 test_util.py:1494] Running testConv2D2x2FilterStride1x2 in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.06s I0520 06:22:46.197630 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.06s INFO:tensorflow:Running testConv2D2x2FilterStride1x2 in EAGER mode. I0520 06:22:46.198664 281473820160896 test_util.py:1503] Running testConv2D2x2FilterStride1x2 in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.02s I0520 06:22:46.217766 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.02s [ OK ] Conv2DTest.testConv2D2x2FilterStride1x2 [ RUN ] Conv2DTest.testConv2DBackpropFilterWithEmptyInput INFO:tensorflow:Running testConv2DBackpropFilterWithEmptyInput in GRAPH mode. I0520 06:22:46.218710 281473820160896 test_util.py:1494] Running testConv2DBackpropFilterWithEmptyInput in GRAPH mode. 2023-05-20 06:22:46.228453: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\001\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { size: 1 } } } 2023-05-20 06:22:46.244398: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\001\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { size: 1 } } } INFO:tensorflow:time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.03s I0520 06:22:46.252525 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.03s INFO:tensorflow:Running testConv2DBackpropFilterWithEmptyInput in EAGER mode. I0520 06:22:46.253395 281473820160896 test_util.py:1503] Running testConv2DBackpropFilterWithEmptyInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.01s I0520 06:22:46.263556 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.01s [ OK ] Conv2DTest.testConv2DBackpropFilterWithEmptyInput [ RUN ] Conv2DTest.testConv2DEmptyBackpropFilter INFO:tensorflow:Running testConv2DEmptyBackpropFilter in GRAPH mode. I0520 06:22:46.264367 281473820160896 test_util.py:1494] Running testConv2DEmptyBackpropFilter in GRAPH mode. 2023-05-20 06:22:46.272795: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@" } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\000\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { } } } 2023-05-20 06:22:46.288947: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@" } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\000\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { } } } INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.03s I0520 06:22:46.297408 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.03s INFO:tensorflow:Running testConv2DEmptyBackpropFilter in EAGER mode. I0520 06:22:46.298271 281473820160896 test_util.py:1503] Running testConv2DEmptyBackpropFilter in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.01s I0520 06:22:46.308132 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.01s [ OK ] Conv2DTest.testConv2DEmptyBackpropFilter [ RUN ] Conv2DTest.testConv2DEmptyDilation INFO:tensorflow:Running testConv2DEmptyDilation in GRAPH mode. I0520 06:22:46.308912 281473820160896 test_util.py:1494] Running testConv2DEmptyDilation in GRAPH mode. 2023-05-20 06:22:46.347790: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2D" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 3 } dim { size: 3 } } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@\000\000\340@\000\000\000A\000\000\020A" } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 3 } dim { size: 3 } } } 2023-05-20 06:22:46.360134: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2D" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 2 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@\000\000\340@\000\000\000A\000\000\020A" } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } 2023-05-20 06:22:46.360413: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2D" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 2 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@\000\000\340@\000\000\000A\000\000\020A" } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.06s I0520 06:22:46.369738 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.06s INFO:tensorflow:Running testConv2DEmptyDilation in EAGER mode. I0520 06:22:46.370706 281473820160896 test_util.py:1503] Running testConv2DEmptyDilation in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.02s I0520 06:22:46.394500 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.02s [ OK ] Conv2DTest.testConv2DEmptyDilation [ RUN ] Conv2DTest.testConv2DGroupConvFwd INFO:tensorflow:Running testConv2DGroupConvFwd in GRAPH mode. I0520 06:22:46.395475 281473820160896 test_util.py:1494] Running testConv2DGroupConvFwd in GRAPH mode. [ FAILED ] Conv2DTest.testConv2DGroupConvFwd INFO:tensorflow:time(__main__.Conv2DTest.testConv2DGroupConvFwd): 1.24s I0520 06:22:47.637374 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DGroupConvFwd): 1.24s [ RUN ] Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2 INFO:tensorflow:time(__main__.Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2): 0.06s I0520 06:22:47.701636 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2): 0.06s [ OK ] Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2 [ RUN ] Conv2DTest.testConv2DKernelSmallerThanStrideSame INFO:tensorflow:Running testConv2DKernelSmallerThanStrideSame in GRAPH mode. I0520 06:22:47.702804 281473820160896 test_util.py:1494] Running testConv2DKernelSmallerThanStrideSame in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.29s I0520 06:22:47.989625 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.29s INFO:tensorflow:Running testConv2DKernelSmallerThanStrideSame in EAGER mode. I0520 06:22:47.991187 281473820160896 test_util.py:1503] Running testConv2DKernelSmallerThanStrideSame in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.15s I0520 06:22:48.143887 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.15s [ OK ] Conv2DTest.testConv2DKernelSmallerThanStrideSame [ RUN ] Conv2DTest.testConv2DOnlyTopRightPadding INFO:tensorflow:Running testConv2DOnlyTopRightPadding in GRAPH mode. I0520 06:22:48.144882 281473820160896 test_util.py:1494] Running testConv2DOnlyTopRightPadding in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.19s I0520 06:22:48.339677 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.19s INFO:tensorflow:Running testConv2DOnlyTopRightPadding in EAGER mode. I0520 06:22:48.341157 281473820160896 test_util.py:1503] Running testConv2DOnlyTopRightPadding in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.07s I0520 06:22:48.408964 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.07s [ OK ] Conv2DTest.testConv2DOnlyTopRightPadding [ RUN ] Conv2DTest.testConvolutionClass2DExpandedBatch INFO:tensorflow:Running testConvolutionClass2DExpandedBatch in GRAPH mode. I0520 06:22:48.410239 281473820160896 test_util.py:1494] Running testConvolutionClass2DExpandedBatch in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.08s I0520 06:22:48.491211 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.08s INFO:tensorflow:Running testConvolutionClass2DExpandedBatch in EAGER mode. I0520 06:22:48.492133 281473820160896 test_util.py:1503] Running testConvolutionClass2DExpandedBatch in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.04s I0520 06:22:48.536909 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.04s [ OK ] Conv2DTest.testConvolutionClass2DExpandedBatch [ RUN ] Conv2DTest.testFilterGradient1x1PaddingStrideOne WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:1953: compute_gradient (from tensorflow.python.ops.gradient_checker) is deprecated and will be removed in a future version. Instructions for updating: Use tf.test.compute_gradient in 2.0, which has better support for functions. Note that the two versions have different usage, so code change is needed. W0520 06:22:48.541788 281473820160896 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:1953: compute_gradient (from tensorflow.python.ops.gradient_checker) is deprecated and will be removed in a future version. Instructions for updating: Use tf.test.compute_gradient in 2.0, which has better support for functions. Note that the two versions have different usage, so code change is needed. INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradient1x1PaddingStrideOne): 0.46s I0520 06:22:49.002326 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradient1x1PaddingStrideOne): 0.46s [ OK ] Conv2DTest.testFilterGradient1x1PaddingStrideOne [ RUN ] Conv2DTest.testFilterGradientGroupConv [ SKIPPED ] Conv2DTest.testFilterGradientGroupConv INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradientGroupConv): 0.0s I0520 06:22:49.003717 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradientGroupConv): 0.0s [ RUN ] Conv2DTest.testFilterGradientSamePaddingStrideThree INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradientSamePaddingStrideThree): 1.03s I0520 06:22:50.029309 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradientSamePaddingStrideThree): 1.03s [ OK ] Conv2DTest.testFilterGradientSamePaddingStrideThree [ RUN ] Conv2DTest.testFilterGradientValidPaddingStrideTwo INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradientValidPaddingStrideTwo): 1.19s I0520 06:22:51.222740 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradientValidPaddingStrideTwo): 1.19s [ OK ] Conv2DTest.testFilterGradientValidPaddingStrideTwo [ RUN ] Conv2DTest.testInceptionBackFilter_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:51.224248 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') I0520 06:22:51.225097 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.06s I0520 06:22:51.282433 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:51.283633 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') I0520 06:22:51.283808 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.05s I0520 06:22:51.331562 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.05s [ OK ] Conv2DTest.testInceptionBackFilter_11 [ RUN ] Conv2DTest.testInceptionBackFilter_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:51.332625 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') I0520 06:22:51.333620 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.06s I0520 06:22:51.393842 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:51.395053 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') I0520 06:22:51.395241 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.02s I0520 06:22:51.415922 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_15 [ RUN ] Conv2DTest.testInceptionBackFilter_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:51.416968 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') I0520 06:22:51.417917 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.06s I0520 06:22:51.473914 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:51.475140 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') I0520 06:22:51.475315 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.02s I0520 06:22:51.498015 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_19 [ RUN ] Conv2DTest.testInceptionBackFilter_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:51.499075 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') I0520 06:22:51.500019 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.05s I0520 06:22:51.552656 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:51.553844 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') I0520 06:22:51.554021 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.02s I0520 06:22:51.575551 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_22 [ RUN ] Conv2DTest.testInceptionBackFilter_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:51.576618 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:22:51.577549 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.07s I0520 06:22:51.647771 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.07s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:51.648979 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:22:51.649153 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.03s I0520 06:22:51.680887 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.03s [ OK ] Conv2DTest.testInceptionBackFilter_26 [ RUN ] Conv2DTest.testInceptionBackFilter_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:51.681930 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') I0520 06:22:51.682898 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.13s I0520 06:22:51.812523 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.13s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:51.813688 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') I0520 06:22:51.813859 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.02s I0520 06:22:51.834961 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_3 [ RUN ] Conv2DTest.testInceptionBackFilter_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:51.835994 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') I0520 06:22:51.836952 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.06s I0520 06:22:51.893165 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:51.894226 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') I0520 06:22:51.894383 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.02s I0520 06:22:51.913197 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_33 [ RUN ] Conv2DTest.testInceptionBackFilter_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:51.914161 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:22:51.915014 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.05s I0520 06:22:51.961544 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:51.962627 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:22:51.962787 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.02s I0520 06:22:51.987398 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_37 [ RUN ] Conv2DTest.testInceptionBackFilter_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:51.988471 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') I0520 06:22:51.989387 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.07s I0520 06:22:52.058235 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.07s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:52.059502 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') I0520 06:22:52.059682 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.04s I0520 06:22:52.098145 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.04s [ OK ] Conv2DTest.testInceptionBackFilter_40 [ RUN ] Conv2DTest.testInceptionBackFilter_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:52.099216 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') I0520 06:22:52.100140 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.08s I0520 06:22:52.179394 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:52.180675 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') I0520 06:22:52.180856 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.04s I0520 06:22:52.217619 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.04s [ OK ] Conv2DTest.testInceptionBackFilter_44 [ RUN ] Conv2DTest.testInceptionBackFilter_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:52.218695 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') I0520 06:22:52.219621 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.12s I0520 06:22:52.337676 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.12s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:52.338943 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') I0520 06:22:52.339109 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.03s I0520 06:22:52.372711 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.03s [ OK ] Conv2DTest.testInceptionBackFilter_48 [ RUN ] Conv2DTest.testInceptionBackFilter_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:52.373804 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') I0520 06:22:52.374810 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.07s I0520 06:22:52.439364 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.07s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:52.440628 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') I0520 06:22:52.440798 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.02s I0520 06:22:52.463613 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_51 [ RUN ] Conv2DTest.testInceptionBackFilter_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:52.464690 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') I0520 06:22:52.465646 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.06s I0520 06:22:52.520721 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:52.521941 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') I0520 06:22:52.522115 281473820160896 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.02s I0520 06:22:52.546441 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_6 [ RUN ] Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:52.547541 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') I0520 06:22:52.548654 281473820160896 conv_ops_test.py:3254] Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s I0520 06:22:52.548892 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:52.549429 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') I0520 06:22:52.549635 281473820160896 conv_ops_test.py:3254] Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s I0520 06:22:52.549857 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s [ OK ] Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInceptionBackInput_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:52.550368 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') I0520 06:22:52.551048 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_11): 0.05s I0520 06:22:52.599719 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_11): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:52.600963 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') I0520 06:22:52.601153 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_11): 0.02s I0520 06:22:52.618059 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_11): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_11 [ RUN ] Conv2DTest.testInceptionBackInput_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:52.619143 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') I0520 06:22:52.620137 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_15): 0.05s I0520 06:22:52.667245 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_15): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:52.668507 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') I0520 06:22:52.668701 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_15): 0.02s I0520 06:22:52.690160 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_15): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_15 [ RUN ] Conv2DTest.testInceptionBackInput_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:52.691218 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') I0520 06:22:52.695322 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_19): 0.11s I0520 06:22:52.796559 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_19): 0.11s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:52.797789 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') I0520 06:22:52.797991 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_19): 0.02s I0520 06:22:52.818709 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_19): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_19 [ RUN ] Conv2DTest.testInceptionBackInput_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:52.819791 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') I0520 06:22:52.820752 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_22): 0.05s I0520 06:22:52.870831 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_22): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:52.872092 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') I0520 06:22:52.872291 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_22): 0.05s I0520 06:22:52.918549 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_22): 0.05s [ OK ] Conv2DTest.testInceptionBackInput_22 [ RUN ] Conv2DTest.testInceptionBackInput_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:52.919589 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:22:52.920510 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_26): 0.1s I0520 06:22:53.024246 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_26): 0.1s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:53.025454 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:22:53.025624 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_26): 0.04s I0520 06:22:53.064785 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_26): 0.04s [ OK ] Conv2DTest.testInceptionBackInput_26 [ RUN ] Conv2DTest.testInceptionBackInput_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:53.065818 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') I0520 06:22:53.066759 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_3): 0.08s I0520 06:22:53.150576 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_3): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:53.151863 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') I0520 06:22:53.152056 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_3): 0.03s I0520 06:22:53.182815 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_3): 0.03s [ OK ] Conv2DTest.testInceptionBackInput_3 [ RUN ] Conv2DTest.testInceptionBackInput_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:53.183893 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') I0520 06:22:53.184876 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_33): 0.2s I0520 06:22:53.387438 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_33): 0.2s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:53.388676 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') I0520 06:22:53.388858 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_33): 0.09s I0520 06:22:53.478098 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_33): 0.09s [ OK ] Conv2DTest.testInceptionBackInput_33 [ RUN ] Conv2DTest.testInceptionBackInput_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:53.479177 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:22:53.480116 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_37): 0.05s I0520 06:22:53.525345 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_37): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:53.526556 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:22:53.526750 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_37): 0.02s I0520 06:22:53.542011 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_37): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_37 [ RUN ] Conv2DTest.testInceptionBackInput_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:53.543059 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') I0520 06:22:53.543906 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_40): 0.1s I0520 06:22:53.638810 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_40): 0.1s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:53.640050 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') I0520 06:22:53.640211 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_40): 0.02s I0520 06:22:53.660392 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_40): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_40 [ RUN ] Conv2DTest.testInceptionBackInput_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:53.661469 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') I0520 06:22:53.662372 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_44): 0.09s I0520 06:22:53.754550 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_44): 0.09s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:53.755776 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') I0520 06:22:53.755950 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_44): 0.02s I0520 06:22:53.778034 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_44): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_44 [ RUN ] Conv2DTest.testInceptionBackInput_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:53.779117 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') I0520 06:22:53.780109 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_48): 0.09s I0520 06:22:53.866267 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_48): 0.09s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:53.867554 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') I0520 06:22:53.867772 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_48): 0.02s I0520 06:22:53.885188 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_48): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_48 [ RUN ] Conv2DTest.testInceptionBackInput_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:53.886301 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') I0520 06:22:53.887249 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_51): 0.05s I0520 06:22:53.934417 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_51): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:53.935678 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') I0520 06:22:53.935862 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_51): 0.02s I0520 06:22:53.953521 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_51): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_51 [ RUN ] Conv2DTest.testInceptionBackInput_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:53.954596 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') I0520 06:22:53.955540 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_6): 0.05s I0520 06:22:54.002202 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_6): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:54.003445 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') I0520 06:22:54.003619 281473820160896 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_6): 0.02s I0520 06:22:54.020752 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_6): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_6 [ RUN ] Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:54.021829 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') I0520 06:22:54.022803 281473820160896 conv_ops_test.py:3238] Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s I0520 06:22:54.023033 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:54.023564 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') I0520 06:22:54.023761 281473820160896 conv_ops_test.py:3238] Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s I0520 06:22:54.023991 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s [ OK ] Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:54.024507 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:22:54.025156 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.19s I0520 06:22:54.210177 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.19s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:54.211740 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:22:54.211925 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.06s I0520 06:22:54.269926 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.06s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_11 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:54.270910 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s I0520 06:22:54.271706 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:54.272172 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s I0520 06:22:54.272374 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_15 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:54.272804 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:22:54.273323 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.29s I0520 06:22:54.558661 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.29s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:54.559711 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:22:54.559873 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.09s I0520 06:22:54.649454 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.09s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_19 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:54.650465 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:22:54.651247 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.2s I0520 06:22:54.848027 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.2s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:54.849112 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:22:54.849261 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.09s I0520 06:22:54.938092 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.09s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_22 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:54.939380 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:22:54.940339 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.12s I0520 06:22:55.061666 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.12s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:55.063089 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:22:55.063255 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.05s I0520 06:22:55.112590 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.05s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_26 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:55.113531 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:22:55.114322 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.08s I0520 06:22:55.197331 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:55.198738 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:22:55.198946 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.08s I0520 06:22:55.278147 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.08s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_3 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:55.279407 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:22:55.280311 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.21s I0520 06:22:55.488037 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.21s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:55.489371 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:22:55.489529 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.06s I0520 06:22:55.554370 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.06s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_33 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:55.555713 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:22:55.556661 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.09s I0520 06:22:55.647482 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.09s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:55.648913 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:22:55.649115 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.04s I0520 06:22:55.687356 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.04s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_37 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:55.688689 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:22:55.689655 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.11s I0520 06:22:55.793964 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.11s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:55.795360 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:22:55.795568 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.04s I0520 06:22:55.840197 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.04s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_40 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:55.841434 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:22:55.842437 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.46s I0520 06:22:56.298247 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.46s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:56.299624 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:22:56.299795 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.04s I0520 06:22:56.344567 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.04s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_44 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:56.345738 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:22:56.346589 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.1s I0520 06:22:56.449732 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.1s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:56.451088 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:22:56.451247 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.05s I0520 06:22:56.500137 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.05s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_48 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:56.501367 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:22:56.502264 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.09s I0520 06:22:56.595379 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.09s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:56.596730 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:22:56.596930 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.04s I0520 06:22:56.638271 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.04s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_51 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:56.639498 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:22:56.640405 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.1s I0520 06:22:56.737378 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.1s INFO:tensorflow:Running Test in EAGER mode. I0520 06:22:56.738796 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:22:56.738990 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.04s I0520 06:22:56.782936 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.04s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_6 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:22:56.784221 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:22:56.785167 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 3.5s I0520 06:23:00.287312 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 3.5s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:00.288786 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:23:00.288991 281473820160896 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 1.87s I0520 06:23:02.158309 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 1.87s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInceptionFwd_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.159319 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:23:02.160049 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_11): 0.03s I0520 06:23:02.188570 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_11): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.189408 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:23:02.189561 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_11): 0.01s I0520 06:23:02.200476 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_11): 0.01s [ OK ] Conv2DTest.testInceptionFwd_11 [ RUN ] Conv2DTest.testInceptionFwd_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.201498 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') I0520 06:23:02.202320 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_15): 0.03s I0520 06:23:02.233040 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_15): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.233919 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') I0520 06:23:02.234071 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_15): 0.01s I0520 06:23:02.247337 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_15): 0.01s [ OK ] Conv2DTest.testInceptionFwd_15 [ RUN ] Conv2DTest.testInceptionFwd_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.248136 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:23:02.248892 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_19): 0.03s I0520 06:23:02.278846 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_19): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.279647 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:23:02.279794 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_19): 0.01s I0520 06:23:02.294049 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_19): 0.01s [ OK ] Conv2DTest.testInceptionFwd_19 [ RUN ] Conv2DTest.testInceptionFwd_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.295053 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:23:02.295922 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_22): 0.03s I0520 06:23:02.326159 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_22): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.327240 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:23:02.327430 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_22): 0.02s I0520 06:23:02.348231 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_22): 0.02s [ OK ] Conv2DTest.testInceptionFwd_22 [ RUN ] Conv2DTest.testInceptionFwd_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.349201 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:23:02.350089 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_26): 0.04s I0520 06:23:02.389724 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_26): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.390764 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:23:02.390939 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_26): 0.01s I0520 06:23:02.405747 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_26): 0.01s [ OK ] Conv2DTest.testInceptionFwd_26 [ RUN ] Conv2DTest.testInceptionFwd_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.406718 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:23:02.407517 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_3): 0.03s I0520 06:23:02.440862 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_3): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.441928 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:23:02.442104 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_3): 0.01s I0520 06:23:02.453224 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_3): 0.01s [ OK ] Conv2DTest.testInceptionFwd_3 [ RUN ] Conv2DTest.testInceptionFwd_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.454173 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:23:02.454995 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_33): 0.03s I0520 06:23:02.485132 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_33): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.486224 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:23:02.486399 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_33): 0.01s I0520 06:23:02.496958 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_33): 0.01s [ OK ] Conv2DTest.testInceptionFwd_33 [ RUN ] Conv2DTest.testInceptionFwd_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.497895 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:23:02.498713 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_37): 0.03s I0520 06:23:02.524824 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_37): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.525870 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:23:02.526044 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_37): 0.01s I0520 06:23:02.536811 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_37): 0.01s [ OK ] Conv2DTest.testInceptionFwd_37 [ RUN ] Conv2DTest.testInceptionFwd_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.537770 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:23:02.538640 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_40): 0.04s I0520 06:23:02.581019 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_40): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.582160 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:23:02.582329 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_40): 0.02s I0520 06:23:02.598472 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_40): 0.02s [ OK ] Conv2DTest.testInceptionFwd_40 [ RUN ] Conv2DTest.testInceptionFwd_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.599533 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:23:02.600426 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_44): 0.04s I0520 06:23:02.642338 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_44): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.643468 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:23:02.643637 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_44): 0.01s I0520 06:23:02.657351 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_44): 0.01s [ OK ] Conv2DTest.testInceptionFwd_44 [ RUN ] Conv2DTest.testInceptionFwd_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.658338 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:23:02.659185 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_48): 0.03s I0520 06:23:02.690556 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_48): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.691641 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:23:02.691800 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_48): 0.01s I0520 06:23:02.703256 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_48): 0.01s [ OK ] Conv2DTest.testInceptionFwd_48 [ RUN ] Conv2DTest.testInceptionFwd_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.704139 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:23:02.704917 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_51): 0.03s I0520 06:23:02.737633 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_51): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.738508 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:23:02.738659 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_51): 0.01s I0520 06:23:02.751059 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_51): 0.01s [ OK ] Conv2DTest.testInceptionFwd_51 [ RUN ] Conv2DTest.testInceptionFwd_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.752067 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:23:02.752924 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_6): 0.04s I0520 06:23:02.791298 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_6): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.792423 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:23:02.792583 281473820160896 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_6): 0.01s I0520 06:23:02.803938 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_6): 0.01s [ OK ] Conv2DTest.testInceptionFwd_6 [ RUN ] Conv2DTest.testInceptionFwd_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:02.804903 281473820160896 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:23:02.805752 281473820160896 conv_ops_test.py:3205] Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s I0520 06:23:02.805965 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:02.806488 281473820160896 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:23:02.806691 281473820160896 conv_ops_test.py:3205] Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s I0520 06:23:02.806913 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s [ OK ] Conv2DTest.testInceptionFwd_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInputGradient1x1PaddingStrideTwo INFO:tensorflow:time(__main__.Conv2DTest.testInputGradient1x1PaddingStrideTwo): 0.57s I0520 06:23:03.374639 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInputGradient1x1PaddingStrideTwo): 0.57s [ OK ] Conv2DTest.testInputGradient1x1PaddingStrideTwo [ RUN ] Conv2DTest.testInputGradientKernelSizeMatchesInputSize INFO:tensorflow:time(__main__.Conv2DTest.testInputGradientKernelSizeMatchesInputSize): 0.24s I0520 06:23:03.612822 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInputGradientKernelSizeMatchesInputSize): 0.24s [ OK ] Conv2DTest.testInputGradientKernelSizeMatchesInputSize [ RUN ] Conv2DTest.testInputGradientValidPaddingStrideOne INFO:tensorflow:time(__main__.Conv2DTest.testInputGradientValidPaddingStrideOne): 0.45s I0520 06:23:04.060799 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testInputGradientValidPaddingStrideOne): 0.45s [ OK ] Conv2DTest.testInputGradientValidPaddingStrideOne [ RUN ] Conv2DTest.testShapeFunctionEdgeCases INFO:tensorflow:time(__main__.Conv2DTest.testShapeFunctionEdgeCases): 0.02s I0520 06:23:04.084678 281473820160896 test_util.py:2464] time(__main__.Conv2DTest.testShapeFunctionEdgeCases): 0.02s [ OK ] Conv2DTest.testShapeFunctionEdgeCases [ RUN ] DeepConv2DTest.test_session [ SKIPPED ] DeepConv2DTest.test_session [ RUN ] FusedConv2DTest.testAddWithRefCountTwoAndNoDependence INFO:tensorflow:Running testAddWithRefCountTwoAndNoDependence in GRAPH mode. I0520 06:23:04.085906 281473820160896 test_util.py:1494] Running testAddWithRefCountTwoAndNoDependence in GRAPH mode. INFO:tensorflow:time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.05s I0520 06:23:04.135464 281473820160896 test_util.py:2464] time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.05s INFO:tensorflow:Running testAddWithRefCountTwoAndNoDependence in EAGER mode. I0520 06:23:04.136794 281473820160896 test_util.py:1503] Running testAddWithRefCountTwoAndNoDependence in EAGER mode. INFO:tensorflow:time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.02s I0520 06:23:04.155643 281473820160896 test_util.py:2464] time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.02s [ OK ] FusedConv2DTest.testAddWithRefCountTwoAndNoDependence [ RUN ] FusedConv2DTest.testResizeAndPadLargeResize INFO:tensorflow:Running testResizeAndPadLargeResize in GRAPH mode. I0520 06:23:04.156768 281473820160896 test_util.py:1494] Running testResizeAndPadLargeResize in GRAPH mode. 2023-05-20 06:23:04.214961: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at conv_ops_fused_image_transform.cc:671 : INVALID_ARGUMENT: Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 2023-05-20 06:23:04.215032: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 [[{{node FusedResizeAndPadConv2D}}]] ERROR:tensorflow:Graph execution error: Detected at node 'FusedResizeAndPadConv2D' defined at (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( Node: 'FusedResizeAndPadConv2D' Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 [[{{node FusedResizeAndPadConv2D}}]] Original stack trace for 'FusedResizeAndPadConv2D': File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/benchmark.py", line 489, in benchmarks_main true_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 312, in run _run_main(main, args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2335, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1498, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_nn_ops.py", line 5132, in fused_resize_and_pad_conv2d _, _, _op, _outputs = _op_def_library._apply_op_helper( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/op_def_library.py", line 795, in _apply_op_helper op = g._create_op_internal(op_type_name, inputs, dtypes=None, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 3315, in _create_op_internal ret = Operation.from_node_def( E0520 06:23:04.843938 281473820160896 test_util.py:2067] Graph execution error: Detected at node 'FusedResizeAndPadConv2D' defined at (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( Node: 'FusedResizeAndPadConv2D' Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 [[{{node FusedResizeAndPadConv2D}}]] Original stack trace for 'FusedResizeAndPadConv2D': File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/benchmark.py", line 489, in benchmarks_main true_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 312, in run _run_main(main, args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2335, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1498, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_nn_ops.py", line 5132, in fused_resize_and_pad_conv2d _, _, _op, _outputs = _op_def_library._apply_op_helper( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/op_def_library.py", line 795, in _apply_op_helper op = g._create_op_internal(op_type_name, inputs, dtypes=None, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 3315, in _create_op_internal ret = Operation.from_node_def( INFO:tensorflow:time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.69s I0520 06:23:04.846165 281473820160896 test_util.py:2464] time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.69s INFO:tensorflow:Running testResizeAndPadLargeResize in EAGER mode. I0520 06:23:04.847301 281473820160896 test_util.py:1503] Running testResizeAndPadLargeResize in EAGER mode. 2023-05-20 06:23:04.857407: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at conv_ops_fused_image_transform.cc:671 : INVALID_ARGUMENT: Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 INFO:tensorflow:time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.01s I0520 06:23:04.857970 281473820160896 test_util.py:2464] time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.01s [ OK ] FusedConv2DTest.testResizeAndPadLargeResize [ RUN ] SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW INFO:tensorflow:time(__main__.SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW): 0.0s I0520 06:23:04.859240 281473820160896 test_util.py:2464] time(__main__.SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW): 0.0s [ OK ] SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW ====================================================================== FAIL: testConv2DGroupConvFwd (__main__.Conv2DTest.testConv2DGroupConvFwd) Conv2DTest.testConv2DGroupConvFwd ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2335, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1498, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 852, in testConv2DGroupConvFwd self._VerifyGroupConvFwd([10, 32, 32, 16], filter_dims, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 839, in _VerifyGroupConvFwd self.assertAllClose( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1539, in decorated return f(*args, **kwds) ^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3172, in assertAllClose self._assertAllCloseRecursive(a, b, rtol=rtol, atol=atol, msg=msg) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3128, in _assertAllCloseRecursive self._assertArrayLikeAllClose( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3065, in _assertArrayLikeAllClose np.testing.assert_allclose( File "/usr/local/lib/python3.11/dist-packages/numpy/testing/_private/utils.py", line 1527, in assert_allclose assert_array_compare(compare, actual, desired, err_msg=str(err_msg), File "/usr/local/lib/python3.11/dist-packages/numpy/testing/_private/utils.py", line 844, in assert_array_compare raise AssertionError(msg) AssertionError: Not equal to tolerance rtol=1e-05, atol=1e-05 Mismatched value: a is different from b. not close where = (array([0, 0, 0, ..., 9, 9, 9]), array([0, 0, 0, ..., 7, 7, 7]), array([ 0, 0, 0, ..., 31, 31, 31]), array([ 0, 1, 2, ..., 29, 30, 31])) not close lhs = [1.0729360e+06 1.5484760e+06 1.6210520e+06 ... 3.9282451e+08 3.9286291e+08 2.2004294e+08] not close rhs = [7.2055200e+05 1.0859000e+06 1.1446520e+06 ... 5.3390678e+08 5.3395901e+08 3.4552045e+08] not close dif = [3.5238400e+05 4.6257600e+05 4.7640000e+05 ... 1.4108227e+08 1.4109610e+08 1.2547750e+08] not close tol = [ 7.2055297 10.859009 11.446529 ... 5339.068 5339.59 3455.2043 ] dtype = float32, shape = (10, 8, 32, 32) Mismatched elements: 81920 / 81920 (100%) Max absolute difference: 1.410961e+08 Max relative difference: 0.4890473 x: array([[[[1.072936e+06, 1.548476e+06, 1.621052e+06, ..., 3.580604e+06, 3.653180e+06, 2.265128e+06], [2.758524e+06, 3.885114e+06, 3.966330e+06, ..., 6.159162e+06,... y: array([[[[7.205520e+05, 1.085900e+06, 1.144652e+06, ..., 2.730956e+06, 2.789708e+06, 1.830760e+06], [2.017836e+06, 2.994042e+06, 3.075258e+06, ..., 5.268090e+06,... ---------------------------------------------------------------------- Ran 84 tests in 19.603s FAILED (failures=1, skipped=2) ================================================================================ ==================== Test output for //tensorflow/python/kernel_tests/nn_ops:conv_ops_test_cpu (shard 3 of 4): 2023-05-20 06:23:07.482099: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.11.3: /usr/local/bin/python3 [ RUN ] Conv2DTest.testConv2D1x1Padding INFO:tensorflow:Running testConv2D1x1Padding in GRAPH mode. I0520 06:23:10.491892 281473472885632 test_util.py:1494] Running testConv2D1x1Padding in GRAPH mode. WARNING:tensorflow:From /usr/lib/python3.11/contextlib.py:105: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `self.session()` or `self.cached_session()` instead. W0520 06:23:10.492496 281473472885632 deprecation.py:364] From /usr/lib/python3.11/contextlib.py:105: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `self.session()` or `self.cached_session()` instead. 2023-05-20 06:23:10.580480: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:375] MLIR V1 optimization pass is not enabled WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:154: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. W0520 06:23:10.626874 281473472885632 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:154: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. 2023-05-20 06:23:10.627497: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D1x1Padding): 0.29s I0520 06:23:10.781583 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D1x1Padding): 0.29s INFO:tensorflow:Running testConv2D1x1Padding in EAGER mode. I0520 06:23:10.783513 281473472885632 test_util.py:1503] Running testConv2D1x1Padding in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D1x1Padding): 0.13s I0520 06:23:10.911677 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D1x1Padding): 0.13s [ OK ] Conv2DTest.testConv2D1x1Padding [ RUN ] Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput INFO:tensorflow:Running testConv2D2x2Depth1Padding0x0BackpropInput in GRAPH mode. I0520 06:23:10.913374 281473472885632 test_util.py:1494] Running testConv2D2x2Depth1Padding0x0BackpropInput in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.11s I0520 06:23:11.022251 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.11s INFO:tensorflow:Running testConv2D2x2Depth1Padding0x0BackpropInput in EAGER mode. I0520 06:23:11.023831 281473472885632 test_util.py:1503] Running testConv2D2x2Depth1Padding0x0BackpropInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.05s I0520 06:23:11.074873 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.05s [ OK ] Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput [ RUN ] Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput INFO:tensorflow:Running testConv2D2x2Depth1Padding2x2BackpropInput in GRAPH mode. I0520 06:23:11.076505 281473472885632 test_util.py:1494] Running testConv2D2x2Depth1Padding2x2BackpropInput in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.06s I0520 06:23:11.131579 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.06s INFO:tensorflow:Running testConv2D2x2Depth1Padding2x2BackpropInput in EAGER mode. I0520 06:23:11.132843 281473472885632 test_util.py:1503] Running testConv2D2x2Depth1Padding2x2BackpropInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.03s I0520 06:23:11.161197 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.03s [ OK ] Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput [ RUN ] Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput INFO:tensorflow:Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in GRAPH mode. I0520 06:23:11.162549 281473472885632 test_util.py:1494] Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.05s I0520 06:23:11.211579 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.05s INFO:tensorflow:Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in EAGER mode. I0520 06:23:11.212742 281473472885632 test_util.py:1503] Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.03s I0520 06:23:11.238266 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.03s [ OK ] Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput [ RUN ] Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2 INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2): 0.1s I0520 06:23:11.337244 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2): 0.1s [ OK ] Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2 [ RUN ] Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2 INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in GRAPH mode. I0520 06:23:11.338909 281473472885632 test_util.py:1494] Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.05s I0520 06:23:11.386660 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.05s INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in EAGER mode. I0520 06:23:11.387850 281473472885632 test_util.py:1503] Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.02s I0520 06:23:11.411661 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.02s [ OK ] Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2 [ RUN ] Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2 INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in GRAPH mode. I0520 06:23:11.412832 281473472885632 test_util.py:1494] Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.02s I0520 06:23:11.436288 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.02s INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in EAGER mode. I0520 06:23:11.437381 281473472885632 test_util.py:1503] Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.01s I0520 06:23:11.451367 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.01s [ OK ] Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2 [ RUN ] Conv2DTest.testConv2D2x2FilterStride1x2 INFO:tensorflow:Running testConv2D2x2FilterStride1x2 in GRAPH mode. I0520 06:23:11.452510 281473472885632 test_util.py:1494] Running testConv2D2x2FilterStride1x2 in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.07s I0520 06:23:11.519361 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.07s INFO:tensorflow:Running testConv2D2x2FilterStride1x2 in EAGER mode. I0520 06:23:11.520695 281473472885632 test_util.py:1503] Running testConv2D2x2FilterStride1x2 in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.02s I0520 06:23:11.544463 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.02s [ OK ] Conv2DTest.testConv2D2x2FilterStride1x2 [ RUN ] Conv2DTest.testConv2DBackpropFilterWithEmptyInput INFO:tensorflow:Running testConv2DBackpropFilterWithEmptyInput in GRAPH mode. I0520 06:23:11.545674 281473472885632 test_util.py:1494] Running testConv2DBackpropFilterWithEmptyInput in GRAPH mode. 2023-05-20 06:23:11.557180: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\001\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { size: 1 } } } 2023-05-20 06:23:11.575811: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\001\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { size: 1 } } } INFO:tensorflow:time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.04s I0520 06:23:11.585077 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.04s INFO:tensorflow:Running testConv2DBackpropFilterWithEmptyInput in EAGER mode. I0520 06:23:11.586217 281473472885632 test_util.py:1503] Running testConv2DBackpropFilterWithEmptyInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.01s I0520 06:23:11.598010 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.01s [ OK ] Conv2DTest.testConv2DBackpropFilterWithEmptyInput [ RUN ] Conv2DTest.testConv2DEmptyBackpropFilter INFO:tensorflow:Running testConv2DEmptyBackpropFilter in GRAPH mode. I0520 06:23:11.599056 281473472885632 test_util.py:1494] Running testConv2DEmptyBackpropFilter in GRAPH mode. 2023-05-20 06:23:11.609248: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@" } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\000\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { } } } 2023-05-20 06:23:11.627714: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@" } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\000\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { } } } INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.04s I0520 06:23:11.637203 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.04s INFO:tensorflow:Running testConv2DEmptyBackpropFilter in EAGER mode. I0520 06:23:11.638335 281473472885632 test_util.py:1503] Running testConv2DEmptyBackpropFilter in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.01s I0520 06:23:11.650311 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.01s [ OK ] Conv2DTest.testConv2DEmptyBackpropFilter [ RUN ] Conv2DTest.testConv2DEmptyDilation INFO:tensorflow:Running testConv2DEmptyDilation in GRAPH mode. I0520 06:23:11.651373 281473472885632 test_util.py:1494] Running testConv2DEmptyDilation in GRAPH mode. 2023-05-20 06:23:11.691650: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2D" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 3 } dim { size: 3 } } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@\000\000\340@\000\000\000A\000\000\020A" } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 3 } dim { size: 3 } } } 2023-05-20 06:23:11.708415: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2D" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 2 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@\000\000\340@\000\000\000A\000\000\020A" } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } 2023-05-20 06:23:11.708745: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2D" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 2 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@\000\000\340@\000\000\000A\000\000\020A" } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.07s I0520 06:23:11.720492 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.07s INFO:tensorflow:Running testConv2DEmptyDilation in EAGER mode. I0520 06:23:11.721739 281473472885632 test_util.py:1503] Running testConv2DEmptyDilation in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.03s I0520 06:23:11.750563 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.03s [ OK ] Conv2DTest.testConv2DEmptyDilation [ RUN ] Conv2DTest.testConv2DGroupConvFwd INFO:tensorflow:Running testConv2DGroupConvFwd in GRAPH mode. I0520 06:23:11.751830 281473472885632 test_util.py:1494] Running testConv2DGroupConvFwd in GRAPH mode. [ FAILED ] Conv2DTest.testConv2DGroupConvFwd INFO:tensorflow:time(__main__.Conv2DTest.testConv2DGroupConvFwd): 0.85s I0520 06:23:12.602639 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DGroupConvFwd): 0.85s [ RUN ] Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2 INFO:tensorflow:time(__main__.Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2): 0.07s I0520 06:23:12.679858 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2): 0.07s [ OK ] Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2 [ RUN ] Conv2DTest.testConv2DKernelSmallerThanStrideSame INFO:tensorflow:Running testConv2DKernelSmallerThanStrideSame in GRAPH mode. I0520 06:23:12.681418 281473472885632 test_util.py:1494] Running testConv2DKernelSmallerThanStrideSame in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.19s I0520 06:23:12.875308 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.19s INFO:tensorflow:Running testConv2DKernelSmallerThanStrideSame in EAGER mode. I0520 06:23:12.877439 281473472885632 test_util.py:1503] Running testConv2DKernelSmallerThanStrideSame in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.05s I0520 06:23:12.930510 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.05s [ OK ] Conv2DTest.testConv2DKernelSmallerThanStrideSame [ RUN ] Conv2DTest.testConv2DOnlyTopRightPadding INFO:tensorflow:Running testConv2DOnlyTopRightPadding in GRAPH mode. I0520 06:23:12.931924 281473472885632 test_util.py:1494] Running testConv2DOnlyTopRightPadding in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.19s I0520 06:23:13.120012 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.19s INFO:tensorflow:Running testConv2DOnlyTopRightPadding in EAGER mode. I0520 06:23:13.121951 281473472885632 test_util.py:1503] Running testConv2DOnlyTopRightPadding in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.08s I0520 06:23:13.199894 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.08s [ OK ] Conv2DTest.testConv2DOnlyTopRightPadding [ RUN ] Conv2DTest.testConvolutionClass2DExpandedBatch INFO:tensorflow:Running testConvolutionClass2DExpandedBatch in GRAPH mode. I0520 06:23:13.201516 281473472885632 test_util.py:1494] Running testConvolutionClass2DExpandedBatch in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.07s I0520 06:23:13.267305 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.07s INFO:tensorflow:Running testConvolutionClass2DExpandedBatch in EAGER mode. I0520 06:23:13.268766 281473472885632 test_util.py:1503] Running testConvolutionClass2DExpandedBatch in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.04s I0520 06:23:13.311447 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.04s [ OK ] Conv2DTest.testConvolutionClass2DExpandedBatch [ RUN ] Conv2DTest.testFilterGradient1x1PaddingStrideOne WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:1953: compute_gradient (from tensorflow.python.ops.gradient_checker) is deprecated and will be removed in a future version. Instructions for updating: Use tf.test.compute_gradient in 2.0, which has better support for functions. Note that the two versions have different usage, so code change is needed. W0520 06:23:13.328088 281473472885632 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:1953: compute_gradient (from tensorflow.python.ops.gradient_checker) is deprecated and will be removed in a future version. Instructions for updating: Use tf.test.compute_gradient in 2.0, which has better support for functions. Note that the two versions have different usage, so code change is needed. INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradient1x1PaddingStrideOne): 0.47s I0520 06:23:13.786914 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradient1x1PaddingStrideOne): 0.47s [ OK ] Conv2DTest.testFilterGradient1x1PaddingStrideOne [ RUN ] Conv2DTest.testFilterGradientGroupConv [ SKIPPED ] Conv2DTest.testFilterGradientGroupConv INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradientGroupConv): 0.0s I0520 06:23:13.788887 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradientGroupConv): 0.0s [ RUN ] Conv2DTest.testFilterGradientSamePaddingStrideThree INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradientSamePaddingStrideThree): 0.95s I0520 06:23:14.739160 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradientSamePaddingStrideThree): 0.95s [ OK ] Conv2DTest.testFilterGradientSamePaddingStrideThree [ RUN ] Conv2DTest.testFilterGradientValidPaddingStrideTwo INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradientValidPaddingStrideTwo): 0.88s I0520 06:23:15.616481 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradientValidPaddingStrideTwo): 0.88s [ OK ] Conv2DTest.testFilterGradientValidPaddingStrideTwo [ RUN ] Conv2DTest.testInceptionBackFilter_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:15.618111 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') I0520 06:23:15.619013 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.06s I0520 06:23:15.673894 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:15.675099 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') I0520 06:23:15.675313 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.02s I0520 06:23:15.696794 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_11 [ RUN ] Conv2DTest.testInceptionBackFilter_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:15.698026 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') I0520 06:23:15.699101 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.05s I0520 06:23:15.750230 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:15.751455 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') I0520 06:23:15.751697 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.02s I0520 06:23:15.772011 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_15 [ RUN ] Conv2DTest.testInceptionBackFilter_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:15.773173 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') I0520 06:23:15.774225 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.06s I0520 06:23:15.831577 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:15.832763 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') I0520 06:23:15.832997 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.02s I0520 06:23:15.854952 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_19 [ RUN ] Conv2DTest.testInceptionBackFilter_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:15.856052 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') I0520 06:23:15.857047 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.06s I0520 06:23:15.911533 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:15.912755 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') I0520 06:23:15.912953 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.02s I0520 06:23:15.934101 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_22 [ RUN ] Conv2DTest.testInceptionBackFilter_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:15.935130 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:23:15.936019 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.07s I0520 06:23:16.006422 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.07s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.007654 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:23:16.007848 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.03s I0520 06:23:16.032785 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.03s [ OK ] Conv2DTest.testInceptionBackFilter_26 [ RUN ] Conv2DTest.testInceptionBackFilter_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.034002 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') I0520 06:23:16.035082 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.06s I0520 06:23:16.091060 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.092276 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') I0520 06:23:16.092519 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.02s I0520 06:23:16.113492 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_3 [ RUN ] Conv2DTest.testInceptionBackFilter_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.114584 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') I0520 06:23:16.115609 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.05s I0520 06:23:16.167962 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.169257 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') I0520 06:23:16.169477 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.02s I0520 06:23:16.189489 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_33 [ RUN ] Conv2DTest.testInceptionBackFilter_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.190536 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:23:16.191465 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.05s I0520 06:23:16.241187 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.242296 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:23:16.242486 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.03s I0520 06:23:16.268544 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.03s [ OK ] Conv2DTest.testInceptionBackFilter_37 [ RUN ] Conv2DTest.testInceptionBackFilter_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.269756 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') I0520 06:23:16.270747 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.07s I0520 06:23:16.337760 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.07s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.339066 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') I0520 06:23:16.339308 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.02s I0520 06:23:16.362470 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_40 [ RUN ] Conv2DTest.testInceptionBackFilter_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.363584 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') I0520 06:23:16.364598 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.08s I0520 06:23:16.443011 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.444357 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') I0520 06:23:16.444593 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.02s I0520 06:23:16.469258 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_44 [ RUN ] Conv2DTest.testInceptionBackFilter_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.470369 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') I0520 06:23:16.471483 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.08s I0520 06:23:16.546205 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.547471 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') I0520 06:23:16.547708 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.03s I0520 06:23:16.577610 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.03s [ OK ] Conv2DTest.testInceptionBackFilter_48 [ RUN ] Conv2DTest.testInceptionBackFilter_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.578870 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') I0520 06:23:16.580034 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.08s I0520 06:23:16.654364 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.655674 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') I0520 06:23:16.655925 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.02s I0520 06:23:16.679539 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_51 [ RUN ] Conv2DTest.testInceptionBackFilter_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.680759 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') I0520 06:23:16.681841 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.06s I0520 06:23:16.745130 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.746363 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') I0520 06:23:16.746563 281473472885632 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.02s I0520 06:23:16.770216 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_6 [ RUN ] Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.771264 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') I0520 06:23:16.772271 281473472885632 conv_ops_test.py:3254] Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s I0520 06:23:16.772518 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.773059 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') I0520 06:23:16.773284 281473472885632 conv_ops_test.py:3254] Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s I0520 06:23:16.773538 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s [ OK ] Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInceptionBackInput_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.774059 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') I0520 06:23:16.774739 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_11): 0.05s I0520 06:23:16.822411 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_11): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.823619 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') I0520 06:23:16.823797 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_11): 0.02s I0520 06:23:16.840549 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_11): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_11 [ RUN ] Conv2DTest.testInceptionBackInput_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.841583 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') I0520 06:23:16.842471 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_15): 0.1s I0520 06:23:16.937664 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_15): 0.1s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:16.938895 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') I0520 06:23:16.939069 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_15): 0.02s I0520 06:23:16.956511 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_15): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_15 [ RUN ] Conv2DTest.testInceptionBackInput_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:16.957522 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') I0520 06:23:16.958361 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_19): 0.06s I0520 06:23:17.015672 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_19): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.016939 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') I0520 06:23:17.017147 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_19): 0.02s I0520 06:23:17.034481 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_19): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_19 [ RUN ] Conv2DTest.testInceptionBackInput_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.035610 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') I0520 06:23:17.036674 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_22): 0.05s I0520 06:23:17.085868 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_22): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.087063 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') I0520 06:23:17.087250 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_22): 0.02s I0520 06:23:17.102355 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_22): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_22 [ RUN ] Conv2DTest.testInceptionBackInput_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.103327 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:23:17.104129 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_26): 0.05s I0520 06:23:17.151651 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_26): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.152876 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:23:17.153070 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_26): 0.02s I0520 06:23:17.171652 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_26): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_26 [ RUN ] Conv2DTest.testInceptionBackInput_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.172713 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') I0520 06:23:17.173677 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_3): 0.05s I0520 06:23:17.218306 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_3): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.219449 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') I0520 06:23:17.219625 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_3): 0.02s I0520 06:23:17.235435 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_3): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_3 [ RUN ] Conv2DTest.testInceptionBackInput_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.236538 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') I0520 06:23:17.237493 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_33): 0.05s I0520 06:23:17.287976 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_33): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.289207 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') I0520 06:23:17.289397 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_33): 0.02s I0520 06:23:17.305041 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_33): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_33 [ RUN ] Conv2DTest.testInceptionBackInput_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.306056 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:23:17.306914 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_37): 0.05s I0520 06:23:17.356037 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_37): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.357301 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:23:17.357511 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_37): 0.02s I0520 06:23:17.373492 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_37): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_37 [ RUN ] Conv2DTest.testInceptionBackInput_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.374493 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') I0520 06:23:17.375385 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_40): 0.05s I0520 06:23:17.427986 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_40): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.429277 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') I0520 06:23:17.429492 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_40): 0.02s I0520 06:23:17.448105 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_40): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_40 [ RUN ] Conv2DTest.testInceptionBackInput_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.449166 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') I0520 06:23:17.450116 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_44): 0.05s I0520 06:23:17.500760 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_44): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.501958 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') I0520 06:23:17.502156 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_44): 0.02s I0520 06:23:17.522113 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_44): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_44 [ RUN ] Conv2DTest.testInceptionBackInput_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.523126 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') I0520 06:23:17.524073 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_48): 0.05s I0520 06:23:17.576607 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_48): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.577791 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') I0520 06:23:17.577966 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_48): 0.03s I0520 06:23:17.608206 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_48): 0.03s [ OK ] Conv2DTest.testInceptionBackInput_48 [ RUN ] Conv2DTest.testInceptionBackInput_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.609185 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') I0520 06:23:17.610052 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_51): 0.11s I0520 06:23:17.719053 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_51): 0.11s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.720221 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') I0520 06:23:17.720381 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_51): 0.02s I0520 06:23:17.742788 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_51): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_51 [ RUN ] Conv2DTest.testInceptionBackInput_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.743765 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') I0520 06:23:17.744558 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_6): 0.07s I0520 06:23:17.809197 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_6): 0.07s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.810483 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') I0520 06:23:17.810718 281473472885632 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_6): 0.02s I0520 06:23:17.828850 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_6): 0.02s [ OK ] Conv2DTest.testInceptionBackInput_6 [ RUN ] Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.830013 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') I0520 06:23:17.831205 281473472885632 conv_ops_test.py:3238] Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s I0520 06:23:17.831526 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.832202 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') I0520 06:23:17.832480 281473472885632 conv_ops_test.py:3238] Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s I0520 06:23:17.832807 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s [ OK ] Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.833454 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:23:17.834287 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.1s I0520 06:23:17.933577 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.1s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.935094 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:23:17.935318 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.04s I0520 06:23:17.970496 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.04s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_11 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.971817 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s I0520 06:23:17.973671 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:17.974389 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s I0520 06:23:17.974688 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_15 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:17.975302 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:23:17.976090 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.16s I0520 06:23:18.131122 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.16s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:18.132375 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:23:18.132551 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.04s I0520 06:23:18.168070 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.04s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_19 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:18.169307 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:23:18.170423 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.09s I0520 06:23:18.259067 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.09s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:18.260433 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:23:18.260637 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.03s I0520 06:23:18.295280 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_22 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:18.296544 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:23:18.297479 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.17s I0520 06:23:18.470220 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.17s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:18.471403 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:23:18.471569 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.04s I0520 06:23:18.506488 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.04s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_26 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:18.507863 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:23:18.508800 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.11s I0520 06:23:18.616899 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.11s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:18.618061 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:23:18.618233 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.11s I0520 06:23:18.728591 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.11s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_3 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:18.729851 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:23:18.730878 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.09s I0520 06:23:18.818583 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.09s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:18.819974 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:23:18.820185 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.03s I0520 06:23:18.853855 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_33 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:18.854993 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:23:18.855833 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.08s I0520 06:23:18.937504 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:18.938942 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:23:18.939147 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.03s I0520 06:23:18.972748 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_37 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:18.974048 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:23:18.975008 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.1s I0520 06:23:19.070940 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.1s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:19.072260 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:23:19.072441 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.03s I0520 06:23:19.106204 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_40 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:19.107386 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:23:19.108267 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.1s I0520 06:23:19.212044 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.1s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:19.213254 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:23:19.213439 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.04s I0520 06:23:19.248623 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.04s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_44 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:19.249828 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:23:19.250782 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.09s I0520 06:23:19.336533 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.09s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:19.337720 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:23:19.337906 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.03s I0520 06:23:19.370460 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_48 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:19.371611 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:23:19.372514 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.09s I0520 06:23:19.460949 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.09s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:19.462168 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:23:19.462347 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.03s I0520 06:23:19.492117 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_51 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:19.493312 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:23:19.494253 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.09s I0520 06:23:19.581781 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.09s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:19.583072 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:23:19.583241 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.03s I0520 06:23:19.613260 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_6 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:19.614439 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:23:19.615243 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 1.45s I0520 06:23:21.069123 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 1.45s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:21.070458 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:23:21.070626 281473472885632 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 1.53s I0520 06:23:22.602751 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 1.53s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInceptionFwd_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:22.603965 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:23:22.604758 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_11): 0.03s I0520 06:23:22.634947 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_11): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:22.635839 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:23:22.636004 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_11): 0.01s I0520 06:23:22.645916 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_11): 0.01s [ OK ] Conv2DTest.testInceptionFwd_11 [ RUN ] Conv2DTest.testInceptionFwd_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:22.646696 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') I0520 06:23:22.647446 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_15): 0.03s I0520 06:23:22.677483 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_15): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:22.678451 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') I0520 06:23:22.678610 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_15): 0.01s I0520 06:23:22.691136 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_15): 0.01s [ OK ] Conv2DTest.testInceptionFwd_15 [ RUN ] Conv2DTest.testInceptionFwd_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:22.691933 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:23:22.692681 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_19): 0.03s I0520 06:23:22.720192 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_19): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:22.721125 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:23:22.721288 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_19): 0.01s I0520 06:23:22.731103 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_19): 0.01s [ OK ] Conv2DTest.testInceptionFwd_19 [ RUN ] Conv2DTest.testInceptionFwd_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:22.731900 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:23:22.732666 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_22): 0.03s I0520 06:23:22.763218 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_22): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:22.764194 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:23:22.764359 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_22): 0.01s I0520 06:23:22.775018 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_22): 0.01s [ OK ] Conv2DTest.testInceptionFwd_22 [ RUN ] Conv2DTest.testInceptionFwd_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:22.775943 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:23:22.776684 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_26): 0.04s I0520 06:23:22.812719 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_26): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:22.813635 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:23:22.813798 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_26): 0.01s I0520 06:23:22.825632 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_26): 0.01s [ OK ] Conv2DTest.testInceptionFwd_26 [ RUN ] Conv2DTest.testInceptionFwd_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:22.826499 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:23:22.827194 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_3): 0.03s I0520 06:23:22.855162 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_3): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:22.856009 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:23:22.856197 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_3): 0.01s I0520 06:23:22.866235 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_3): 0.01s [ OK ] Conv2DTest.testInceptionFwd_3 [ RUN ] Conv2DTest.testInceptionFwd_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:22.867228 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:23:22.868029 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_33): 0.03s I0520 06:23:22.894228 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_33): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:22.895181 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:23:22.895340 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_33): 0.01s I0520 06:23:22.905077 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_33): 0.01s [ OK ] Conv2DTest.testInceptionFwd_33 [ RUN ] Conv2DTest.testInceptionFwd_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:22.905962 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:23:22.906747 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_37): 0.03s I0520 06:23:22.936396 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_37): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:22.937379 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:23:22.937540 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_37): 0.01s I0520 06:23:22.947582 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_37): 0.01s [ OK ] Conv2DTest.testInceptionFwd_37 [ RUN ] Conv2DTest.testInceptionFwd_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:22.948458 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:23:22.949226 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_40): 0.05s I0520 06:23:22.993781 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_40): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:22.994925 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:23:22.995096 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_40): 0.01s I0520 06:23:23.007978 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_40): 0.01s [ OK ] Conv2DTest.testInceptionFwd_40 [ RUN ] Conv2DTest.testInceptionFwd_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:23.008939 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:23:23.009747 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_44): 0.04s I0520 06:23:23.050146 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_44): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:23.051191 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:23:23.051354 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_44): 0.01s I0520 06:23:23.063964 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_44): 0.01s [ OK ] Conv2DTest.testInceptionFwd_44 [ RUN ] Conv2DTest.testInceptionFwd_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:23.064893 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:23:23.065710 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_48): 0.03s I0520 06:23:23.098291 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_48): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:23.099149 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:23:23.099303 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_48): 0.01s I0520 06:23:23.109399 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_48): 0.01s [ OK ] Conv2DTest.testInceptionFwd_48 [ RUN ] Conv2DTest.testInceptionFwd_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:23.110137 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:23:23.110826 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_51): 0.03s I0520 06:23:23.143135 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_51): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:23.144033 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:23:23.144187 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_51): 0.01s I0520 06:23:23.155594 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_51): 0.01s [ OK ] Conv2DTest.testInceptionFwd_51 [ RUN ] Conv2DTest.testInceptionFwd_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:23.156555 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:23:23.157371 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_6): 0.03s I0520 06:23:23.189417 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_6): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:23.190384 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:23:23.190546 281473472885632 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_6): 0.01s I0520 06:23:23.201644 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_6): 0.01s [ OK ] Conv2DTest.testInceptionFwd_6 [ RUN ] Conv2DTest.testInceptionFwd_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:23.202618 281473472885632 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:23:23.203462 281473472885632 conv_ops_test.py:3205] Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s I0520 06:23:23.203675 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:23.204136 281473472885632 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:23:23.204324 281473472885632 conv_ops_test.py:3205] Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s I0520 06:23:23.204541 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s [ OK ] Conv2DTest.testInceptionFwd_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInputGradient1x1PaddingStrideTwo INFO:tensorflow:time(__main__.Conv2DTest.testInputGradient1x1PaddingStrideTwo): 0.23s I0520 06:23:23.431246 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInputGradient1x1PaddingStrideTwo): 0.23s [ OK ] Conv2DTest.testInputGradient1x1PaddingStrideTwo [ RUN ] Conv2DTest.testInputGradientKernelSizeMatchesInputSize INFO:tensorflow:time(__main__.Conv2DTest.testInputGradientKernelSizeMatchesInputSize): 0.16s I0520 06:23:23.596450 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInputGradientKernelSizeMatchesInputSize): 0.16s [ OK ] Conv2DTest.testInputGradientKernelSizeMatchesInputSize [ RUN ] Conv2DTest.testInputGradientValidPaddingStrideOne INFO:tensorflow:time(__main__.Conv2DTest.testInputGradientValidPaddingStrideOne): 0.25s I0520 06:23:23.849736 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testInputGradientValidPaddingStrideOne): 0.25s [ OK ] Conv2DTest.testInputGradientValidPaddingStrideOne [ RUN ] Conv2DTest.testShapeFunctionEdgeCases INFO:tensorflow:time(__main__.Conv2DTest.testShapeFunctionEdgeCases): 0.02s I0520 06:23:23.872541 281473472885632 test_util.py:2464] time(__main__.Conv2DTest.testShapeFunctionEdgeCases): 0.02s [ OK ] Conv2DTest.testShapeFunctionEdgeCases [ RUN ] DeepConv2DTest.test_session [ SKIPPED ] DeepConv2DTest.test_session [ RUN ] FusedConv2DTest.testAddWithRefCountTwoAndNoDependence INFO:tensorflow:Running testAddWithRefCountTwoAndNoDependence in GRAPH mode. I0520 06:23:23.873643 281473472885632 test_util.py:1494] Running testAddWithRefCountTwoAndNoDependence in GRAPH mode. INFO:tensorflow:time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.05s I0520 06:23:23.919602 281473472885632 test_util.py:2464] time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.05s INFO:tensorflow:Running testAddWithRefCountTwoAndNoDependence in EAGER mode. I0520 06:23:23.920803 281473472885632 test_util.py:1503] Running testAddWithRefCountTwoAndNoDependence in EAGER mode. INFO:tensorflow:time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.02s I0520 06:23:23.939365 281473472885632 test_util.py:2464] time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.02s [ OK ] FusedConv2DTest.testAddWithRefCountTwoAndNoDependence [ RUN ] FusedConv2DTest.testResizeAndPadLargeResize INFO:tensorflow:Running testResizeAndPadLargeResize in GRAPH mode. I0520 06:23:23.940389 281473472885632 test_util.py:1494] Running testResizeAndPadLargeResize in GRAPH mode. 2023-05-20 06:23:23.956974: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at conv_ops_fused_image_transform.cc:671 : INVALID_ARGUMENT: Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 2023-05-20 06:23:23.957038: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 [[{{node FusedResizeAndPadConv2D}}]] ERROR:tensorflow:Graph execution error: Detected at node 'FusedResizeAndPadConv2D' defined at (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( Node: 'FusedResizeAndPadConv2D' Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 [[{{node FusedResizeAndPadConv2D}}]] Original stack trace for 'FusedResizeAndPadConv2D': File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/benchmark.py", line 489, in benchmarks_main true_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 312, in run _run_main(main, args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2335, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1498, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_nn_ops.py", line 5132, in fused_resize_and_pad_conv2d _, _, _op, _outputs = _op_def_library._apply_op_helper( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/op_def_library.py", line 795, in _apply_op_helper op = g._create_op_internal(op_type_name, inputs, dtypes=None, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 3315, in _create_op_internal ret = Operation.from_node_def( E0520 06:23:24.476897 281473472885632 test_util.py:2067] Graph execution error: Detected at node 'FusedResizeAndPadConv2D' defined at (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( Node: 'FusedResizeAndPadConv2D' Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 [[{{node FusedResizeAndPadConv2D}}]] Original stack trace for 'FusedResizeAndPadConv2D': File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/benchmark.py", line 489, in benchmarks_main true_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 312, in run _run_main(main, args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2335, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1498, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_nn_ops.py", line 5132, in fused_resize_and_pad_conv2d _, _, _op, _outputs = _op_def_library._apply_op_helper( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/op_def_library.py", line 795, in _apply_op_helper op = g._create_op_internal(op_type_name, inputs, dtypes=None, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 3315, in _create_op_internal ret = Operation.from_node_def( INFO:tensorflow:time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.54s I0520 06:23:24.478545 281473472885632 test_util.py:2464] time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.54s INFO:tensorflow:Running testResizeAndPadLargeResize in EAGER mode. I0520 06:23:24.479404 281473472885632 test_util.py:1503] Running testResizeAndPadLargeResize in EAGER mode. 2023-05-20 06:23:24.487252: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at conv_ops_fused_image_transform.cc:671 : INVALID_ARGUMENT: Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 INFO:tensorflow:time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.01s I0520 06:23:24.487660 281473472885632 test_util.py:2464] time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.01s [ OK ] FusedConv2DTest.testResizeAndPadLargeResize [ RUN ] SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW INFO:tensorflow:time(__main__.SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW): 0.0s I0520 06:23:24.488646 281473472885632 test_util.py:2464] time(__main__.SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW): 0.0s [ OK ] SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW ====================================================================== FAIL: testConv2DGroupConvFwd (__main__.Conv2DTest.testConv2DGroupConvFwd) Conv2DTest.testConv2DGroupConvFwd ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2335, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1498, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 852, in testConv2DGroupConvFwd self._VerifyGroupConvFwd([10, 32, 32, 16], filter_dims, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 839, in _VerifyGroupConvFwd self.assertAllClose( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1539, in decorated return f(*args, **kwds) ^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3172, in assertAllClose self._assertAllCloseRecursive(a, b, rtol=rtol, atol=atol, msg=msg) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3128, in _assertAllCloseRecursive self._assertArrayLikeAllClose( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3065, in _assertArrayLikeAllClose np.testing.assert_allclose( File "/usr/local/lib/python3.11/dist-packages/numpy/testing/_private/utils.py", line 1527, in assert_allclose assert_array_compare(compare, actual, desired, err_msg=str(err_msg), File "/usr/local/lib/python3.11/dist-packages/numpy/testing/_private/utils.py", line 844, in assert_array_compare raise AssertionError(msg) AssertionError: Not equal to tolerance rtol=1e-05, atol=1e-05 Mismatched value: a is different from b. not close where = (array([0, 0, 0, ..., 9, 9, 9]), array([0, 0, 0, ..., 7, 7, 7]), array([ 0, 0, 0, ..., 31, 31, 31]), array([ 0, 1, 2, ..., 29, 30, 31])) not close lhs = [1.0729360e+06 1.5484760e+06 1.6210520e+06 ... 3.9282451e+08 3.9286291e+08 2.2004294e+08] not close rhs = [7.2055200e+05 1.0859000e+06 1.1446520e+06 ... 5.3390678e+08 5.3395901e+08 3.4552045e+08] not close dif = [3.5238400e+05 4.6257600e+05 4.7640000e+05 ... 1.4108227e+08 1.4109610e+08 1.2547750e+08] not close tol = [ 7.2055297 10.859009 11.446529 ... 5339.068 5339.59 3455.2043 ] dtype = float32, shape = (10, 8, 32, 32) Mismatched elements: 81920 / 81920 (100%) Max absolute difference: 1.410961e+08 Max relative difference: 0.4890473 x: array([[[[1.072936e+06, 1.548476e+06, 1.621052e+06, ..., 3.580604e+06, 3.653180e+06, 2.265128e+06], [2.758524e+06, 3.885114e+06, 3.966330e+06, ..., 6.159162e+06,... y: array([[[[7.205520e+05, 1.085900e+06, 1.144652e+06, ..., 2.730956e+06, 2.789708e+06, 1.830760e+06], [2.017836e+06, 2.994042e+06, 3.075258e+06, ..., 5.268090e+06,... ---------------------------------------------------------------------- Ran 84 tests in 13.998s FAILED (failures=1, skipped=2) ================================================================================ ==================== Test output for //tensorflow/python/kernel_tests/nn_ops:conv_ops_test_cpu (shard 3 of 4): 2023-05-20 06:23:25.626514: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.11.3: /usr/local/bin/python3 [ RUN ] Conv2DTest.testConv2D1x1Padding INFO:tensorflow:Running testConv2D1x1Padding in GRAPH mode. I0520 06:23:27.990836 281473653175168 test_util.py:1494] Running testConv2D1x1Padding in GRAPH mode. WARNING:tensorflow:From /usr/lib/python3.11/contextlib.py:105: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `self.session()` or `self.cached_session()` instead. W0520 06:23:27.991242 281473653175168 deprecation.py:364] From /usr/lib/python3.11/contextlib.py:105: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `self.session()` or `self.cached_session()` instead. 2023-05-20 06:23:28.034220: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:375] MLIR V1 optimization pass is not enabled WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:154: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. W0520 06:23:28.064566 281473653175168 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:154: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.config.list_physical_devices('GPU')` instead. 2023-05-20 06:23:28.064990: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D1x1Padding): 0.19s I0520 06:23:28.180256 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D1x1Padding): 0.19s INFO:tensorflow:Running testConv2D1x1Padding in EAGER mode. I0520 06:23:28.181601 281473653175168 test_util.py:1503] Running testConv2D1x1Padding in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D1x1Padding): 0.08s I0520 06:23:28.261393 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D1x1Padding): 0.08s [ OK ] Conv2DTest.testConv2D1x1Padding [ RUN ] Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput INFO:tensorflow:Running testConv2D2x2Depth1Padding0x0BackpropInput in GRAPH mode. I0520 06:23:28.262504 281473653175168 test_util.py:1494] Running testConv2D2x2Depth1Padding0x0BackpropInput in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.08s I0520 06:23:28.339183 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.08s INFO:tensorflow:Running testConv2D2x2Depth1Padding0x0BackpropInput in EAGER mode. I0520 06:23:28.340263 281473653175168 test_util.py:1503] Running testConv2D2x2Depth1Padding0x0BackpropInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.04s I0520 06:23:28.376986 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput): 0.04s [ OK ] Conv2DTest.testConv2D2x2Depth1Padding0x0BackpropInput [ RUN ] Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput INFO:tensorflow:Running testConv2D2x2Depth1Padding2x2BackpropInput in GRAPH mode. I0520 06:23:28.378121 281473653175168 test_util.py:1494] Running testConv2D2x2Depth1Padding2x2BackpropInput in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.04s I0520 06:23:28.415107 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.04s INFO:tensorflow:Running testConv2D2x2Depth1Padding2x2BackpropInput in EAGER mode. I0520 06:23:28.415911 281473653175168 test_util.py:1503] Running testConv2D2x2Depth1Padding2x2BackpropInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.02s I0520 06:23:28.436202 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput): 0.02s [ OK ] Conv2DTest.testConv2D2x2Depth1Padding2x2BackpropInput [ RUN ] Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput INFO:tensorflow:Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in GRAPH mode. I0520 06:23:28.437068 281473653175168 test_util.py:1494] Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.04s I0520 06:23:28.472971 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.04s INFO:tensorflow:Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in EAGER mode. I0520 06:23:28.473722 281473653175168 test_util.py:1503] Running testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.02s I0520 06:23:28.493888 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput): 0.02s [ OK ] Conv2DTest.testConv2D2x2Depth1Padding_5_0_2_2_BackpropInput [ RUN ] Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2 INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2): 0.07s I0520 06:23:28.563245 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2): 0.07s [ OK ] Conv2DTest.testConv2D2x2Depth1ValidBackpropInputDilation1x2 [ RUN ] Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2 INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in GRAPH mode. I0520 06:23:28.564273 281473653175168 test_util.py:1494] Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.04s I0520 06:23:28.599531 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.04s INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in EAGER mode. I0520 06:23:28.600237 281473653175168 test_util.py:1503] Running testConv2D2x2Depth3ValidBackpropFilterStride1x2 in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.02s I0520 06:23:28.617786 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2): 0.02s [ OK ] Conv2DTest.testConv2D2x2Depth3ValidBackpropFilterStride1x2 [ RUN ] Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2 INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in GRAPH mode. I0520 06:23:28.618503 281473653175168 test_util.py:1494] Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.02s I0520 06:23:28.636245 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.02s INFO:tensorflow:Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in EAGER mode. I0520 06:23:28.636845 281473653175168 test_util.py:1503] Running testConv2D2x2Depth3ValidBackpropInputStride1x2 in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.01s I0520 06:23:28.647322 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2): 0.01s [ OK ] Conv2DTest.testConv2D2x2Depth3ValidBackpropInputStride1x2 [ RUN ] Conv2DTest.testConv2D2x2FilterStride1x2 INFO:tensorflow:Running testConv2D2x2FilterStride1x2 in GRAPH mode. I0520 06:23:28.647985 281473653175168 test_util.py:1494] Running testConv2D2x2FilterStride1x2 in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.05s I0520 06:23:28.700033 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.05s INFO:tensorflow:Running testConv2D2x2FilterStride1x2 in EAGER mode. I0520 06:23:28.700803 281473653175168 test_util.py:1503] Running testConv2D2x2FilterStride1x2 in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.02s I0520 06:23:28.717650 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2D2x2FilterStride1x2): 0.02s [ OK ] Conv2DTest.testConv2D2x2FilterStride1x2 [ RUN ] Conv2DTest.testConv2DBackpropFilterWithEmptyInput INFO:tensorflow:Running testConv2DBackpropFilterWithEmptyInput in GRAPH mode. I0520 06:23:28.718337 281473653175168 test_util.py:1494] Running testConv2DBackpropFilterWithEmptyInput in GRAPH mode. 2023-05-20 06:23:28.726474: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\001\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { size: 1 } } } 2023-05-20 06:23:28.739621: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 1 } } } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\001\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 1 } dim { size: 2 } dim { size: 1 } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { size: 1 } } } INFO:tensorflow:time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.03s I0520 06:23:28.746448 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.03s INFO:tensorflow:Running testConv2DBackpropFilterWithEmptyInput in EAGER mode. I0520 06:23:28.747115 281473653175168 test_util.py:1503] Running testConv2DBackpropFilterWithEmptyInput in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.01s I0520 06:23:28.755174 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DBackpropFilterWithEmptyInput): 0.01s [ OK ] Conv2DTest.testConv2DBackpropFilterWithEmptyInput [ RUN ] Conv2DTest.testConv2DEmptyBackpropFilter INFO:tensorflow:Running testConv2DEmptyBackpropFilter in GRAPH mode. I0520 06:23:28.755787 281473653175168 test_util.py:1494] Running testConv2DEmptyBackpropFilter in GRAPH mode. 2023-05-20 06:23:28.762817: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@" } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\000\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { } } } 2023-05-20 06:23:28.776882: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2DBackpropFilter" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 2 } dim { size: 3 } dim { size: 1 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@" } } inputs { dtype: DT_INT32 shape { dim { size: 4 } } value { dtype: DT_INT32 tensor_shape { dim { size: 4 } } tensor_content: "\002\000\000\000\002\000\000\000\001\000\000\000\000\000\000\000" } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 2 } dim { } } } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: 2 } dim { size: 2 } dim { size: 1 } dim { } } } INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.03s I0520 06:23:28.784155 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.03s INFO:tensorflow:Running testConv2DEmptyBackpropFilter in EAGER mode. I0520 06:23:28.784863 281473653175168 test_util.py:1503] Running testConv2DEmptyBackpropFilter in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.01s I0520 06:23:28.793177 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyBackpropFilter): 0.01s [ OK ] Conv2DTest.testConv2DEmptyBackpropFilter [ RUN ] Conv2DTest.testConv2DEmptyDilation INFO:tensorflow:Running testConv2DEmptyDilation in GRAPH mode. I0520 06:23:28.793803 281473653175168 test_util.py:1494] Running testConv2DEmptyDilation in GRAPH mode. 2023-05-20 06:23:28.823175: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2D" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 3 } dim { size: 3 } } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@\000\000\340@\000\000\000A\000\000\020A" } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { } dim { size: 1 } dim { size: 3 } dim { size: 3 } } } 2023-05-20 06:23:28.834847: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2D" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 2 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@\000\000\340@\000\000\000A\000\000\020A" } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } 2023-05-20 06:23:28.835112: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:693] Error in PredictCost() for the op: op: "Conv2D" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 2 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } inputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } dim { size: 1 } dim { size: 3 } dim { size: 3 } } tensor_content: "\000\000\200?\000\000\000@\000\000@@\000\000\200@\000\000\240@\000\000\300@\000\000\340@\000\000\000A\000\000\020A" } } device { type: "CPU" model: "0" frequency: 200 num_cores: 56 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { } dim { size: 2 } dim { size: 3 } dim { size: 3 } } } INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.05s I0520 06:23:28.843907 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.05s INFO:tensorflow:Running testConv2DEmptyDilation in EAGER mode. I0520 06:23:28.844711 281473653175168 test_util.py:1503] Running testConv2DEmptyDilation in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.02s I0520 06:23:28.864866 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DEmptyDilation): 0.02s [ OK ] Conv2DTest.testConv2DEmptyDilation [ RUN ] Conv2DTest.testConv2DGroupConvFwd INFO:tensorflow:Running testConv2DGroupConvFwd in GRAPH mode. I0520 06:23:28.865738 281473653175168 test_util.py:1494] Running testConv2DGroupConvFwd in GRAPH mode. [ FAILED ] Conv2DTest.testConv2DGroupConvFwd INFO:tensorflow:time(__main__.Conv2DTest.testConv2DGroupConvFwd): 0.67s I0520 06:23:29.534337 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DGroupConvFwd): 0.67s [ RUN ] Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2 INFO:tensorflow:time(__main__.Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2): 0.06s I0520 06:23:29.595446 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2): 0.06s [ OK ] Conv2DTest.testConv2DKernelSizeMatchesInputSizeBackpropFilterDilation2x2 [ RUN ] Conv2DTest.testConv2DKernelSmallerThanStrideSame INFO:tensorflow:Running testConv2DKernelSmallerThanStrideSame in GRAPH mode. I0520 06:23:29.596575 281473653175168 test_util.py:1494] Running testConv2DKernelSmallerThanStrideSame in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.15s I0520 06:23:29.742864 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.15s INFO:tensorflow:Running testConv2DKernelSmallerThanStrideSame in EAGER mode. I0520 06:23:29.744329 281473653175168 test_util.py:1503] Running testConv2DKernelSmallerThanStrideSame in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.04s I0520 06:23:29.781620 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DKernelSmallerThanStrideSame): 0.04s [ OK ] Conv2DTest.testConv2DKernelSmallerThanStrideSame [ RUN ] Conv2DTest.testConv2DOnlyTopRightPadding INFO:tensorflow:Running testConv2DOnlyTopRightPadding in GRAPH mode. I0520 06:23:29.782506 281473653175168 test_util.py:1494] Running testConv2DOnlyTopRightPadding in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.14s I0520 06:23:29.924695 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.14s INFO:tensorflow:Running testConv2DOnlyTopRightPadding in EAGER mode. I0520 06:23:29.926135 281473653175168 test_util.py:1503] Running testConv2DOnlyTopRightPadding in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.06s I0520 06:23:29.982137 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConv2DOnlyTopRightPadding): 0.06s [ OK ] Conv2DTest.testConv2DOnlyTopRightPadding [ RUN ] Conv2DTest.testConvolutionClass2DExpandedBatch INFO:tensorflow:Running testConvolutionClass2DExpandedBatch in GRAPH mode. I0520 06:23:29.983330 281473653175168 test_util.py:1494] Running testConvolutionClass2DExpandedBatch in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.05s I0520 06:23:30.033381 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.05s INFO:tensorflow:Running testConvolutionClass2DExpandedBatch in EAGER mode. I0520 06:23:30.034352 281473653175168 test_util.py:1503] Running testConvolutionClass2DExpandedBatch in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.02s I0520 06:23:30.056624 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testConvolutionClass2DExpandedBatch): 0.02s [ OK ] Conv2DTest.testConvolutionClass2DExpandedBatch [ RUN ] Conv2DTest.testFilterGradient1x1PaddingStrideOne WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:1953: compute_gradient (from tensorflow.python.ops.gradient_checker) is deprecated and will be removed in a future version. Instructions for updating: Use tf.test.compute_gradient in 2.0, which has better support for functions. Note that the two versions have different usage, so code change is needed. W0520 06:23:30.061355 281473653175168 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py:1953: compute_gradient (from tensorflow.python.ops.gradient_checker) is deprecated and will be removed in a future version. Instructions for updating: Use tf.test.compute_gradient in 2.0, which has better support for functions. Note that the two versions have different usage, so code change is needed. INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradient1x1PaddingStrideOne): 0.27s I0520 06:23:30.327274 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradient1x1PaddingStrideOne): 0.27s [ OK ] Conv2DTest.testFilterGradient1x1PaddingStrideOne [ RUN ] Conv2DTest.testFilterGradientGroupConv [ SKIPPED ] Conv2DTest.testFilterGradientGroupConv INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradientGroupConv): 0.0s I0520 06:23:30.329081 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradientGroupConv): 0.0s [ RUN ] Conv2DTest.testFilterGradientSamePaddingStrideThree INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradientSamePaddingStrideThree): 0.71s I0520 06:23:31.041889 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradientSamePaddingStrideThree): 0.71s [ OK ] Conv2DTest.testFilterGradientSamePaddingStrideThree [ RUN ] Conv2DTest.testFilterGradientValidPaddingStrideTwo INFO:tensorflow:time(__main__.Conv2DTest.testFilterGradientValidPaddingStrideTwo): 0.72s I0520 06:23:31.768297 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testFilterGradientValidPaddingStrideTwo): 0.72s [ OK ] Conv2DTest.testFilterGradientValidPaddingStrideTwo [ RUN ] Conv2DTest.testInceptionBackFilter_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:31.769742 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') I0520 06:23:31.770520 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.05s I0520 06:23:31.818176 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:31.819227 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') I0520 06:23:31.819381 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.02s I0520 06:23:31.837379 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_11): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_11 [ RUN ] Conv2DTest.testInceptionBackFilter_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:31.838251 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') I0520 06:23:31.838999 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.04s I0520 06:23:31.880446 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:31.881468 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') I0520 06:23:31.881625 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], [2, 2], 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.02s I0520 06:23:31.898665 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_15): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_15 [ RUN ] Conv2DTest.testInceptionBackFilter_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:31.899515 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') I0520 06:23:31.900292 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.05s I0520 06:23:31.946444 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:31.947393 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') I0520 06:23:31.947543 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.02s I0520 06:23:31.965654 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_19): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_19 [ RUN ] Conv2DTest.testInceptionBackFilter_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:31.966378 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') I0520 06:23:31.967083 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.04s I0520 06:23:32.008443 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.009114 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') I0520 06:23:32.009258 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.02s I0520 06:23:32.026201 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_22): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_22 [ RUN ] Conv2DTest.testInceptionBackFilter_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.026863 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:23:32.027509 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.05s I0520 06:23:32.080648 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.081499 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:23:32.081644 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.02s I0520 06:23:32.102606 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_26): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_26 [ RUN ] Conv2DTest.testInceptionBackFilter_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.103307 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') I0520 06:23:32.103990 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.04s I0520 06:23:32.145472 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.146316 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') I0520 06:23:32.146469 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.02s I0520 06:23:32.163861 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_3): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_3 [ RUN ] Conv2DTest.testInceptionBackFilter_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.164632 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') I0520 06:23:32.165371 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.04s I0520 06:23:32.207616 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.208565 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') I0520 06:23:32.208724 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.02s I0520 06:23:32.225785 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_33): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_33 [ RUN ] Conv2DTest.testInceptionBackFilter_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.226570 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:23:32.227336 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.04s I0520 06:23:32.267739 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.268681 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') I0520 06:23:32.268829 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.02s I0520 06:23:32.290158 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_37): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_37 [ RUN ] Conv2DTest.testInceptionBackFilter_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.291035 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') I0520 06:23:32.291828 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.06s I0520 06:23:32.346665 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.347736 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') I0520 06:23:32.347886 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.02s I0520 06:23:32.367487 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_40): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_40 [ RUN ] Conv2DTest.testInceptionBackFilter_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.368348 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') I0520 06:23:32.369103 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.06s I0520 06:23:32.428168 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.429298 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') I0520 06:23:32.429446 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.02s I0520 06:23:32.450540 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_44): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_44 [ RUN ] Conv2DTest.testInceptionBackFilter_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.451430 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') I0520 06:23:32.452183 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.06s I0520 06:23:32.506922 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.06s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.508021 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') I0520 06:23:32.508174 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.02s I0520 06:23:32.532049 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_48): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_48 [ RUN ] Conv2DTest.testInceptionBackFilter_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.533008 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') I0520 06:23:32.533767 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.05s I0520 06:23:32.585102 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.586142 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') I0520 06:23:32.586300 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.02s I0520 06:23:32.605087 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_51): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_51 [ RUN ] Conv2DTest.testInceptionBackFilter_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.605858 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') I0520 06:23:32.606606 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.05s I0520 06:23:32.652199 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.05s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.653257 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') I0520 06:23:32.653406 281473653175168 conv_ops_test.py:3257] Testing InceptionBackFilter ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.02s I0520 06:23:32.673033 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_6): 0.02s [ OK ] Conv2DTest.testInceptionBackFilter_6 [ RUN ] Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.673734 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') I0520 06:23:32.674517 281473653175168 conv_ops_test.py:3254] Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s I0520 06:23:32.674721 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.675138 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') I0520 06:23:32.675322 281473653175168 conv_ops_test.py:3254] Skipping InceptionBackFilter ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], [1, 1], 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s I0520 06:23:32.675531 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused): 0.0s [ OK ] Conv2DTest.testInceptionBackFilter_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInceptionBackInput_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.675944 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') I0520 06:23:32.676451 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_11): 0.04s I0520 06:23:32.713667 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_11): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.714273 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') I0520 06:23:32.714416 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 176], [1, 1, 176, 32], [4, 8, 8, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_11): 0.01s I0520 06:23:32.726827 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_11): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_11 [ RUN ] Conv2DTest.testInceptionBackInput_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.727418 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') I0520 06:23:32.727985 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_15): 0.04s I0520 06:23:32.763504 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_15): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.764132 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') I0520 06:23:32.764276 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 3, 12, 32], [4, 8, 8, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_15): 0.01s I0520 06:23:32.776250 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_15): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_15 [ RUN ] Conv2DTest.testInceptionBackInput_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.776844 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') I0520 06:23:32.777431 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_19): 0.03s I0520 06:23:32.811781 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_19): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.812386 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') I0520 06:23:32.812529 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 19], [1, 3, 19, 25], [4, 17, 17, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_19): 0.01s I0520 06:23:32.825105 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_19): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_19 [ RUN ] Conv2DTest.testInceptionBackInput_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.825708 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') I0520 06:23:32.826315 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_22): 0.03s I0520 06:23:32.860234 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_22): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.860861 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') I0520 06:23:32.861007 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 22], [3, 1, 22, 22], [4, 17, 17, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_22): 0.01s I0520 06:23:32.873632 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_22): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_22 [ RUN ] Conv2DTest.testInceptionBackInput_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.874251 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:23:32.874855 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_26): 0.04s I0520 06:23:32.912032 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_26): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.912644 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:23:32.912788 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 115], [1, 1, 115, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_26): 0.01s I0520 06:23:32.927127 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_26): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_26 [ RUN ] Conv2DTest.testInceptionBackInput_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.927746 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') I0520 06:23:32.928348 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_3): 0.04s I0520 06:23:32.967711 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_3): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:32.968764 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') I0520 06:23:32.968916 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 19], [4, 8, 8, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_3): 0.01s I0520 06:23:32.982968 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_3): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_3 [ RUN ] Conv2DTest.testInceptionBackInput_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:32.983764 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') I0520 06:23:32.984489 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_33): 0.04s I0520 06:23:33.024658 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_33): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.025598 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') I0520 06:23:33.025746 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [3, 1, 12, 19], [4, 17, 17, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_33): 0.01s I0520 06:23:33.038814 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_33): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_33 [ RUN ] Conv2DTest.testInceptionBackInput_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.039540 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:23:33.040217 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_37): 0.04s I0520 06:23:33.079027 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_37): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.079886 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') I0520 06:23:33.080034 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 12], [1, 3, 12, 12], [4, 17, 17, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_37): 0.01s I0520 06:23:33.092705 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_37): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_37 [ RUN ] Conv2DTest.testInceptionBackInput_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.093371 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') I0520 06:23:33.094023 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_40): 0.04s I0520 06:23:33.133695 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_40): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.134287 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') I0520 06:23:33.134430 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 17, 17, 76], [1, 1, 76, 32], [4, 17, 17, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_40): 0.01s I0520 06:23:33.147859 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_40): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_40 [ RUN ] Conv2DTest.testInceptionBackInput_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.148447 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') I0520 06:23:33.149020 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_44): 0.04s I0520 06:23:33.183502 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_44): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.184087 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') I0520 06:23:33.184228 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 28], [1, 1, 28, 6], [4, 35, 35, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_44): 0.01s I0520 06:23:33.198615 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_44): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_44 [ RUN ] Conv2DTest.testInceptionBackInput_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.199190 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') I0520 06:23:33.199763 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_48): 0.04s I0520 06:23:33.235087 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_48): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.235681 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') I0520 06:23:33.235821 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 9], [3, 3, 9, 9], [4, 35, 35, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_48): 0.01s I0520 06:23:33.249059 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_48): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_48 [ RUN ] Conv2DTest.testInceptionBackInput_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.249627 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') I0520 06:23:33.250184 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_51): 0.04s I0520 06:23:33.286582 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_51): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.287171 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') I0520 06:23:33.287312 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 35, 35, 19], [1, 1, 19, 4], [4, 35, 35, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_51): 0.01s I0520 06:23:33.300082 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_51): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_51 [ RUN ] Conv2DTest.testInceptionBackInput_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.300662 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') I0520 06:23:33.301221 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_6): 0.04s I0520 06:23:33.337316 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_6): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.337894 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') I0520 06:23:33.338034 281473653175168 conv_ops_test.py:3241] Testing InceptionBackInput ([4, 8, 8, 204], [1, 1, 204, 44], [4, 8, 8, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_6): 0.01s I0520 06:23:33.351132 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_6): 0.01s [ OK ] Conv2DTest.testInceptionBackInput_6 [ RUN ] Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.352158 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') I0520 06:23:33.352983 281473653175168 conv_ops_test.py:3238] Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s I0520 06:23:33.353194 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.353626 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') I0520 06:23:33.353812 281473653175168 conv_ops_test.py:3238] Skipping InceptionBackInput ([1, 400, 400, 1], [1, 1, 1, 256], [1, 400, 400, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s I0520 06:23:33.354025 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused): 0.0s [ OK ] Conv2DTest.testInceptionBackInput_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.354437 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:23:33.354933 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.08s I0520 06:23:33.430884 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.431745 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:23:33.431892 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.02s I0520 06:23:33.456645 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_11): 0.02s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_11 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.457363 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s I0520 06:23:33.458075 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.458532 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s I0520 06:23:33.458735 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_15): 0.0s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_15 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.459141 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:23:33.459634 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.07s I0520 06:23:33.531023 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.07s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.532049 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:23:33.532197 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.03s I0520 06:23:33.558200 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_19): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_19 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.558997 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:23:33.559693 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.07s I0520 06:23:33.632134 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.07s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.633097 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:23:33.633246 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.03s I0520 06:23:33.659769 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_22): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_22 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.660968 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:23:33.661741 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.08s I0520 06:23:33.744927 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.745769 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:23:33.745914 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.03s I0520 06:23:33.771852 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_26): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_26 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.773148 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:23:33.773892 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.08s I0520 06:23:33.849690 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.850681 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:23:33.850832 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.03s I0520 06:23:33.876090 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_3): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_3 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.877129 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:23:33.877815 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.07s I0520 06:23:33.947568 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.07s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:33.948498 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:23:33.948646 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.03s I0520 06:23:33.973691 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_33): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_33 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:33.974534 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:23:33.975208 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.07s I0520 06:23:34.045090 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.07s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:34.046011 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:23:34.046185 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.02s I0520 06:23:34.070438 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_37): 0.02s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_37 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:34.071233 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:23:34.071907 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.08s I0520 06:23:34.151826 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:34.152871 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:23:34.153019 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.03s I0520 06:23:34.180317 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_40): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_40 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:34.181121 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:23:34.181853 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.08s I0520 06:23:34.265188 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:34.266198 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:23:34.266356 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.03s I0520 06:23:34.293299 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_44): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_44 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:34.294481 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:23:34.295204 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.08s I0520 06:23:34.369625 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:34.370365 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:23:34.370505 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.03s I0520 06:23:34.396280 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_48): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_48 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:34.396970 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:23:34.397595 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.08s I0520 06:23:34.474809 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.08s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:34.475675 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:23:34.475821 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.03s I0520 06:23:34.500906 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_51): 0.03s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_51 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:34.501641 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:23:34.502250 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.07s I0520 06:23:34.575585 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.07s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:34.576372 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:23:34.576525 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.02s I0520 06:23:34.601252 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_6): 0.02s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_6 [ RUN ] Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:34.602017 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:23:34.602659 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 1.42s I0520 06:23:36.022071 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 1.42s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:36.023133 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:23:36.023285 281473653175168 conv_ops_test.py:3219] Testing InceptionFwd with dilations ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 1.5s I0520 06:23:37.525487 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused): 1.5s [ OK ] Conv2DTest.testInceptionFwdDilatedConv_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInceptionFwd_11 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.526847 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:23:37.527812 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_11): 0.03s I0520 06:23:37.559565 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_11): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.560167 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') I0520 06:23:37.560309 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 176], [1, 1, 176, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_11): 0.01s I0520 06:23:37.569458 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_11): 0.01s [ OK ] Conv2DTest.testInceptionFwd_11 [ RUN ] Conv2DTest.testInceptionFwd_15 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.570344 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') I0520 06:23:37.571050 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_15): 0.03s I0520 06:23:37.599123 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_15): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.599730 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') I0520 06:23:37.599873 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 3, 12, 32], 2, 'VALID') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_15): 0.01s I0520 06:23:37.611069 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_15): 0.01s [ OK ] Conv2DTest.testInceptionFwd_15 [ RUN ] Conv2DTest.testInceptionFwd_19 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.611644 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:23:37.612221 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_19): 0.02s I0520 06:23:37.635825 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_19): 0.02s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.636393 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') I0520 06:23:37.636541 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 19], [1, 3, 19, 25], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_19): 0.01s I0520 06:23:37.645226 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_19): 0.01s [ OK ] Conv2DTest.testInceptionFwd_19 [ RUN ] Conv2DTest.testInceptionFwd_22 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.646037 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:23:37.646730 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_22): 0.03s I0520 06:23:37.671926 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_22): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.672497 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') I0520 06:23:37.672641 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 22], [3, 1, 22, 22], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_22): 0.01s I0520 06:23:37.681133 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_22): 0.01s [ OK ] Conv2DTest.testInceptionFwd_22 [ RUN ] Conv2DTest.testInceptionFwd_26 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.681704 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:23:37.682254 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_26): 0.03s I0520 06:23:37.714140 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_26): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.714773 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') I0520 06:23:37.714916 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 115], [1, 1, 115, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_26): 0.01s I0520 06:23:37.725135 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_26): 0.01s [ OK ] Conv2DTest.testInceptionFwd_26 [ RUN ] Conv2DTest.testInceptionFwd_3 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.725733 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:23:37.726344 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_3): 0.03s I0520 06:23:37.752116 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_3): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.752664 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') I0520 06:23:37.752808 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_3): 0.01s I0520 06:23:37.761471 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_3): 0.01s [ OK ] Conv2DTest.testInceptionFwd_3 [ RUN ] Conv2DTest.testInceptionFwd_33 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.762274 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:23:37.762904 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_33): 0.02s I0520 06:23:37.786290 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_33): 0.02s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.787084 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') I0520 06:23:37.787227 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [3, 1, 12, 19], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_33): 0.01s I0520 06:23:37.795534 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_33): 0.01s [ OK ] Conv2DTest.testInceptionFwd_33 [ RUN ] Conv2DTest.testInceptionFwd_37 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.796155 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:23:37.796762 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_37): 0.02s I0520 06:23:37.819589 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_37): 0.02s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.820166 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') I0520 06:23:37.820308 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 12], [1, 3, 12, 12], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_37): 0.01s I0520 06:23:37.827921 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_37): 0.01s [ OK ] Conv2DTest.testInceptionFwd_37 [ RUN ] Conv2DTest.testInceptionFwd_40 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.828493 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:23:37.829051 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_40): 0.04s I0520 06:23:37.864353 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_40): 0.04s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.865087 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') I0520 06:23:37.865229 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 17, 17, 76], [1, 1, 76, 32], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_40): 0.01s I0520 06:23:37.875202 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_40): 0.01s [ OK ] Conv2DTest.testInceptionFwd_40 [ RUN ] Conv2DTest.testInceptionFwd_44 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.875833 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:23:37.876467 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_44): 0.03s I0520 06:23:37.909833 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_44): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.910614 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') I0520 06:23:37.910759 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 28], [1, 1, 28, 6], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_44): 0.01s I0520 06:23:37.921815 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_44): 0.01s [ OK ] Conv2DTest.testInceptionFwd_44 [ RUN ] Conv2DTest.testInceptionFwd_48 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.922450 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:23:37.923105 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_48): 0.03s I0520 06:23:37.949403 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_48): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.950003 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') I0520 06:23:37.950144 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 9], [3, 3, 9, 9], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_48): 0.01s I0520 06:23:37.958865 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_48): 0.01s [ OK ] Conv2DTest.testInceptionFwd_48 [ RUN ] Conv2DTest.testInceptionFwd_51 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:37.959479 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:23:37.960078 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_51): 0.03s I0520 06:23:37.989435 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_51): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:37.990098 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') I0520 06:23:37.990241 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 35, 35, 19], [1, 1, 19, 4], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_51): 0.01s I0520 06:23:38.000380 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_51): 0.01s [ OK ] Conv2DTest.testInceptionFwd_51 [ RUN ] Conv2DTest.testInceptionFwd_6 INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:38.001125 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:23:38.001992 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_6): 0.03s I0520 06:23:38.032770 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_6): 0.03s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:38.033638 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') I0520 06:23:38.033781 281473653175168 conv_ops_test.py:3208] Testing InceptionFwd ([4, 8, 8, 204], [1, 1, 204, 44], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_6): 0.01s I0520 06:23:38.043262 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_6): 0.01s [ OK ] Conv2DTest.testInceptionFwd_6 [ RUN ] Conv2DTest.testInceptionFwd_No_Winograd_Nonfused INFO:tensorflow:Running Test in GRAPH mode. I0520 06:23:38.043848 281473653175168 test_util.py:1494] Running Test in GRAPH mode. INFO:tensorflow:Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:23:38.044517 281473653175168 conv_ops_test.py:3205] Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s I0520 06:23:38.044714 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s INFO:tensorflow:Running Test in EAGER mode. I0520 06:23:38.045126 281473653175168 test_util.py:1503] Running Test in EAGER mode. INFO:tensorflow:Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') I0520 06:23:38.045307 281473653175168 conv_ops_test.py:3205] Skipping InceptionFwd ([1, 400, 400, 1], [1, 1, 1, 256], 1, 'SAME') INFO:tensorflow:time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s I0520 06:23:38.045513 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInceptionFwd_No_Winograd_Nonfused): 0.0s [ OK ] Conv2DTest.testInceptionFwd_No_Winograd_Nonfused [ RUN ] Conv2DTest.testInputGradient1x1PaddingStrideTwo INFO:tensorflow:time(__main__.Conv2DTest.testInputGradient1x1PaddingStrideTwo): 0.23s I0520 06:23:38.271200 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInputGradient1x1PaddingStrideTwo): 0.23s [ OK ] Conv2DTest.testInputGradient1x1PaddingStrideTwo [ RUN ] Conv2DTest.testInputGradientKernelSizeMatchesInputSize INFO:tensorflow:time(__main__.Conv2DTest.testInputGradientKernelSizeMatchesInputSize): 0.16s I0520 06:23:38.429144 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInputGradientKernelSizeMatchesInputSize): 0.16s [ OK ] Conv2DTest.testInputGradientKernelSizeMatchesInputSize [ RUN ] Conv2DTest.testInputGradientValidPaddingStrideOne INFO:tensorflow:time(__main__.Conv2DTest.testInputGradientValidPaddingStrideOne): 0.24s I0520 06:23:38.674624 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testInputGradientValidPaddingStrideOne): 0.24s [ OK ] Conv2DTest.testInputGradientValidPaddingStrideOne [ RUN ] Conv2DTest.testShapeFunctionEdgeCases INFO:tensorflow:time(__main__.Conv2DTest.testShapeFunctionEdgeCases): 0.02s I0520 06:23:38.696475 281473653175168 test_util.py:2464] time(__main__.Conv2DTest.testShapeFunctionEdgeCases): 0.02s [ OK ] Conv2DTest.testShapeFunctionEdgeCases [ RUN ] DeepConv2DTest.test_session [ SKIPPED ] DeepConv2DTest.test_session [ RUN ] FusedConv2DTest.testAddWithRefCountTwoAndNoDependence INFO:tensorflow:Running testAddWithRefCountTwoAndNoDependence in GRAPH mode. I0520 06:23:38.697390 281473653175168 test_util.py:1494] Running testAddWithRefCountTwoAndNoDependence in GRAPH mode. INFO:tensorflow:time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.04s I0520 06:23:38.739538 281473653175168 test_util.py:2464] time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.04s INFO:tensorflow:Running testAddWithRefCountTwoAndNoDependence in EAGER mode. I0520 06:23:38.740239 281473653175168 test_util.py:1503] Running testAddWithRefCountTwoAndNoDependence in EAGER mode. INFO:tensorflow:time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.01s I0520 06:23:38.754151 281473653175168 test_util.py:2464] time(__main__.FusedConv2DTest.testAddWithRefCountTwoAndNoDependence): 0.01s [ OK ] FusedConv2DTest.testAddWithRefCountTwoAndNoDependence [ RUN ] FusedConv2DTest.testResizeAndPadLargeResize INFO:tensorflow:Running testResizeAndPadLargeResize in GRAPH mode. I0520 06:23:38.754800 281473653175168 test_util.py:1494] Running testResizeAndPadLargeResize in GRAPH mode. 2023-05-20 06:23:38.767614: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at conv_ops_fused_image_transform.cc:671 : INVALID_ARGUMENT: Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 2023-05-20 06:23:38.767662: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 [[{{node FusedResizeAndPadConv2D}}]] ERROR:tensorflow:Graph execution error: Detected at node 'FusedResizeAndPadConv2D' defined at (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( Node: 'FusedResizeAndPadConv2D' Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 [[{{node FusedResizeAndPadConv2D}}]] Original stack trace for 'FusedResizeAndPadConv2D': File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/benchmark.py", line 489, in benchmarks_main true_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 312, in run _run_main(main, args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2335, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1498, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_nn_ops.py", line 5132, in fused_resize_and_pad_conv2d _, _, _op, _outputs = _op_def_library._apply_op_helper( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/op_def_library.py", line 795, in _apply_op_helper op = g._create_op_internal(op_type_name, inputs, dtypes=None, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 3315, in _create_op_internal ret = Operation.from_node_def( E0520 06:23:39.239864 281473653175168 test_util.py:2067] Graph execution error: Detected at node 'FusedResizeAndPadConv2D' defined at (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( Node: 'FusedResizeAndPadConv2D' Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 [[{{node FusedResizeAndPadConv2D}}]] Original stack trace for 'FusedResizeAndPadConv2D': File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3504, in test.main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56, in main return _googletest.main(argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62, in main benchmark.benchmarks_main(true_main=main_wrapper, argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/benchmark.py", line 489, in benchmarks_main true_main() File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60, in main_wrapper return app.run(main=g_main, argv=args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 312, in run _run_main(main, args) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51, in g_main absltest_main(argv=argv) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2049, in main _run_in_app(run_tests, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2156, in _run_in_app function(argv, args, kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2568, in run_tests result = _run_and_get_tests_result( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/absl_py/absl/testing/absltest.py", line 2537, in _run_and_get_tests_result test_program = unittest.TestProgram(*args, **kwargs) File "/usr/lib/python3.11/unittest/main.py", line 102, in __init__ self.runTests() File "/usr/lib/python3.11/unittest/main.py", line 274, in runTests self.result = testRunner.run(self.test) File "/usr/lib/python3.11/unittest/runner.py", line 217, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/suite.py", line 84, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/suite.py", line 122, in run test(result) File "/usr/lib/python3.11/unittest/case.py", line 678, in __call__ return self.run(*args, **kwds) File "/usr/lib/python3.11/unittest/case.py", line 623, in run self._callTestMethod(testMethod) File "/usr/lib/python3.11/unittest/case.py", line 579, in _callTestMethod if method() is not None: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2335, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1498, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 3449, in testResizeAndPadLargeResize gen_nn_ops.fused_resize_and_pad_conv2d( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_nn_ops.py", line 5132, in fused_resize_and_pad_conv2d _, _, _op, _outputs = _op_def_library._apply_op_helper( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/op_def_library.py", line 795, in _apply_op_helper op = g._create_op_internal(op_type_name, inputs, dtypes=None, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 3315, in _create_op_internal ret = Operation.from_node_def( INFO:tensorflow:time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.49s I0520 06:23:39.241489 281473653175168 test_util.py:2464] time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.49s INFO:tensorflow:Running testResizeAndPadLargeResize in EAGER mode. I0520 06:23:39.242367 281473653175168 test_util.py:1503] Running testResizeAndPadLargeResize in EAGER mode. 2023-05-20 06:23:39.250076: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at conv_ops_fused_image_transform.cc:671 : INVALID_ARGUMENT: Encountered overflow when multiplying 5637144576 with 1879048192, result: -7854277750134145024 INFO:tensorflow:time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.01s I0520 06:23:39.250387 281473653175168 test_util.py:2464] time(__main__.FusedConv2DTest.testResizeAndPadLargeResize): 0.01s [ OK ] FusedConv2DTest.testResizeAndPadLargeResize [ RUN ] SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW INFO:tensorflow:time(__main__.SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW): 0.0s I0520 06:23:39.251246 281473653175168 test_util.py:2464] time(__main__.SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW): 0.0s [ OK ] SeparableConv2DTest.testSeparableConv2DEqualInputOutputDepthNCHW ====================================================================== FAIL: testConv2DGroupConvFwd (__main__.Conv2DTest.testConv2DGroupConvFwd) Conv2DTest.testConv2DGroupConvFwd ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2335, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1498, in decorated f(self, *args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 852, in testConv2DGroupConvFwd self._VerifyGroupConvFwd([10, 32, 32, 16], filter_dims, File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py", line 839, in _VerifyGroupConvFwd self.assertAllClose( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1539, in decorated return f(*args, **kwds) ^^^^^^^^^^^^^^^^ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3172, in assertAllClose self._assertAllCloseRecursive(a, b, rtol=rtol, atol=atol, msg=msg) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3128, in _assertAllCloseRecursive self._assertArrayLikeAllClose( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3065, in _assertArrayLikeAllClose np.testing.assert_allclose( File "/usr/local/lib/python3.11/dist-packages/numpy/testing/_private/utils.py", line 1527, in assert_allclose assert_array_compare(compare, actual, desired, err_msg=str(err_msg), File "/usr/local/lib/python3.11/dist-packages/numpy/testing/_private/utils.py", line 844, in assert_array_compare raise AssertionError(msg) AssertionError: Not equal to tolerance rtol=1e-05, atol=1e-05 Mismatched value: a is different from b. not close where = (array([0, 0, 0, ..., 9, 9, 9]), array([0, 0, 0, ..., 7, 7, 7]), array([ 0, 0, 0, ..., 31, 31, 31]), array([ 0, 1, 2, ..., 29, 30, 31])) not close lhs = [1.0729360e+06 1.5484760e+06 1.6210520e+06 ... 3.9282451e+08 3.9286291e+08 2.2004294e+08] not close rhs = [7.2055200e+05 1.0859000e+06 1.1446520e+06 ... 5.3390678e+08 5.3395901e+08 3.4552045e+08] not close dif = [3.5238400e+05 4.6257600e+05 4.7640000e+05 ... 1.4108227e+08 1.4109610e+08 1.2547750e+08] not close tol = [ 7.2055297 10.859009 11.446529 ... 5339.068 5339.59 3455.2043 ] dtype = float32, shape = (10, 8, 32, 32) Mismatched elements: 81920 / 81920 (100%) Max absolute difference: 1.410961e+08 Max relative difference: 0.4890473 x: array([[[[1.072936e+06, 1.548476e+06, 1.621052e+06, ..., 3.580604e+06, 3.653180e+06, 2.265128e+06], [2.758524e+06, 3.885114e+06, 3.966330e+06, ..., 6.159162e+06,... y: array([[[[7.205520e+05, 1.085900e+06, 1.144652e+06, ..., 2.730956e+06, 2.789708e+06, 1.830760e+06], [2.017836e+06, 2.994042e+06, 3.075258e+06, ..., 5.268090e+06,... ---------------------------------------------------------------------- Ran 84 tests in 11.261s FAILED (failures=1, skipped=2) ================================================================================ //tensorflow/c:c_api_experimental_test PASSED in 34.7s //tensorflow/c:c_api_function_test PASSED in 43.3s //tensorflow/c:c_api_test_cpu PASSED in 59.3s //tensorflow/c:c_test PASSED in 37.6s //tensorflow/c:env_test_cpu PASSED in 37.4s //tensorflow/c:kernels_test_cpu PASSED in 50.6s //tensorflow/c:ops_test PASSED in 42.1s //tensorflow/c:while_loop_test PASSED in 39.3s //tensorflow/c/eager:c_api_cluster_test_cpu PASSED in 47.4s //tensorflow/c/eager:c_api_remote_function_test_cpu PASSED in 49.1s //tensorflow/c/eager:c_api_remote_test_cpu PASSED in 50.1s //tensorflow/c/eager:c_api_test_cpu PASSED in 50.7s //tensorflow/c/eager:custom_device_test PASSED in 41.1s //tensorflow/c/eager/parallel_device:parallel_device_lib_test PASSED in 44.0s //tensorflow/c/eager/parallel_device:parallel_device_remote_test PASSED in 54.1s //tensorflow/c/eager/parallel_device:parallel_device_test PASSED in 37.6s //tensorflow/c/experimental/filesystem/plugins/gcs:expiring_lru_cache_test PASSED in 0.2s //tensorflow/c/experimental/filesystem/plugins/gcs:ram_file_block_cache_test PASSED in 3.2s //tensorflow/c/experimental/grappler:grappler_test PASSED in 33.8s //tensorflow/c/experimental/ops/gen/common:case_format_test PASSED in 0.8s //tensorflow/c/experimental/ops/gen/cpp:cpp_generator_test PASSED in 1.0s //tensorflow/c/experimental/ops/gen/cpp/renderers:renderer_test PASSED in 0.6s //tensorflow/c/experimental/saved_model/core:constant_loading_test PASSED in 25.3s //tensorflow/c/experimental/saved_model/core:object_graph_traversal_test PASSED in 18.9s //tensorflow/c/experimental/saved_model/core:saved_variable_loading_test PASSED in 22.7s //tensorflow/c/experimental/saved_model/core:signature_flattening_test PASSED in 20.6s //tensorflow/c/experimental/saved_model/core:tf_concrete_function_loading_test PASSED in 17.3s //tensorflow/c/experimental/saved_model/core/ops:restore_ops_test PASSED in 12.4s //tensorflow/c/experimental/saved_model/core/ops:variable_ops_test PASSED in 21.4s //tensorflow/c/experimental/saved_model/internal:saved_model_api_test PASSED in 54.2s //tensorflow/c/experimental/stream_executor:stream_executor_test PASSED in 0.2s //tensorflow/c/kernels:bitcast_op_test PASSED in 1.5s 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//tensorflow/compiler/aot:codegen_test PASSED in 38.2s //tensorflow/compiler/jit:compilability_check_util_test PASSED in 32.0s //tensorflow/compiler/jit:deadness_analysis_test PASSED in 11.9s //tensorflow/compiler/jit:device_compilation_cache_test PASSED in 5.6s //tensorflow/compiler/jit:device_compilation_cluster_signature_test PASSED in 6.9s //tensorflow/compiler/jit:device_compilation_profiler_test PASSED in 29.4s //tensorflow/compiler/jit:device_compiler_client_test PASSED in 5.3s //tensorflow/compiler/jit:device_compiler_disable_test PASSED in 28.2s //tensorflow/compiler/jit:device_executable_persistor_test PASSED in 34.0s //tensorflow/compiler/jit:device_util_test PASSED in 7.6s //tensorflow/compiler/jit:encapsulate_util_test PASSED in 0.8s //tensorflow/compiler/jit:node_matchers_test PASSED in 0.8s //tensorflow/compiler/jit:resource_operation_safety_analysis_test PASSED in 12.0s //tensorflow/compiler/jit:shape_inference_test PASSED in 1.4s //tensorflow/compiler/jit:xla_activity_listener_test PASSED in 42.1s //tensorflow/compiler/jit:xla_cluster_util_test PASSED in 16.3s //tensorflow/compiler/jit:xla_compile_util_test PASSED in 9.5s //tensorflow/compiler/jit:xla_kernel_creator_test PASSED in 10.5s //tensorflow/compiler/jit:xla_launch_util_test PASSED in 31.3s //tensorflow/compiler/jit/tests:auto_clustering_test PASSED in 38.3s //tensorflow/compiler/mlir:mlir_graph_optimization_pass_test PASSED in 15.8s //tensorflow/compiler/mlir:register_common_dialects_test PASSED in 23.3s //tensorflow/compiler/mlir/lite:lstm_utils_test PASSED in 1.7s //tensorflow/compiler/mlir/lite:perception_ops_utils_test PASSED in 0.7s //tensorflow/compiler/mlir/lite:size_utils_test PASSED in 0.8s //tensorflow/compiler/mlir/lite:tftext_utils_test PASSED in 0.6s //tensorflow/compiler/mlir/lite/experimental/remat:rematerializer_test PASSED in 3.2s //tensorflow/compiler/mlir/lite/experimental/tac:execution_metadata_exporter_test PASSED in 4.9s 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//tensorflow/compiler/tests:einsum_op_test_cpu_mlir_bridge_test PASSED in 13.1s //tensorflow/compiler/tests:ensure_shape_op_test_cpu PASSED in 8.0s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu PASSED in 7.6s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu_mlir_bridge_test PASSED in 9.1s //tensorflow/compiler/tests:fake_quant_ops_test_cpu PASSED in 18.4s //tensorflow/compiler/tests:fake_quant_ops_test_cpu_mlir_bridge_test PASSED in 25.3s //tensorflow/compiler/tests:fifo_queue_test_cpu PASSED in 13.8s //tensorflow/compiler/tests:fifo_queue_test_cpu_mlir_bridge_test PASSED in 18.5s //tensorflow/compiler/tests:ftrl_ops_test_cpu PASSED in 11.9s //tensorflow/compiler/tests:ftrl_ops_test_cpu_mlir_bridge_test PASSED in 9.2s //tensorflow/compiler/tests:function_test_cpu PASSED in 10.0s //tensorflow/compiler/tests:function_test_cpu_mlir_bridge_test PASSED in 9.6s //tensorflow/compiler/tests:gather_nd_op_test_cpu PASSED in 9.7s //tensorflow/compiler/tests:gather_nd_op_test_cpu_mlir_bridge_test PASSED in 8.7s //tensorflow/compiler/tests:gather_test_cpu PASSED in 60.1s //tensorflow/compiler/tests:gather_test_cpu_mlir_bridge_test PASSED in 51.7s //tensorflow/compiler/tests:jit_test_cpu PASSED in 46.9s //tensorflow/compiler/tests:listdiff_op_test_cpu PASSED in 10.6s //tensorflow/compiler/tests:listdiff_op_test_cpu_mlir_bridge_test PASSED in 11.4s //tensorflow/compiler/tests:lrn_ops_test_cpu PASSED in 7.4s //tensorflow/compiler/tests:lrn_ops_test_cpu_mlir_bridge_test PASSED in 19.6s //tensorflow/compiler/tests:lstm_test_cpu PASSED in 22.8s //tensorflow/compiler/tests:manip_ops_test_cpu PASSED in 13.4s //tensorflow/compiler/tests:manip_ops_test_cpu_mlir_bridge_test PASSED in 21.7s //tensorflow/compiler/tests:matrix_band_part_test_cpu PASSED in 40.7s //tensorflow/compiler/tests:matrix_band_part_test_cpu_mlir_bridge_test PASSED in 71.0s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu PASSED in 23.5s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu_mlir_bridge_test PASSED in 35.3s //tensorflow/compiler/tests:matrix_solve_op_test_cpu PASSED in 10.2s //tensorflow/compiler/tests:matrix_solve_op_test_cpu_mlir_bridge_test PASSED in 18.6s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu PASSED in 28.6s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu_mlir_bridge_test PASSED in 32.2s //tensorflow/compiler/tests:momentum_test_cpu PASSED in 17.3s //tensorflow/compiler/tests:nary_ops_test_cpu PASSED in 19.6s //tensorflow/compiler/tests:nary_ops_test_cpu_mlir_bridge_test PASSED in 11.2s //tensorflow/compiler/tests:nullary_ops_test_cpu PASSED in 13.6s //tensorflow/compiler/tests:nullary_ops_test_cpu_mlir_bridge_test PASSED in 8.0s //tensorflow/compiler/tests:placeholder_test_cpu PASSED in 8.7s //tensorflow/compiler/tests:placeholder_test_cpu_mlir_bridge_test PASSED in 9.5s //tensorflow/compiler/tests:proximal_adagrad_test_cpu PASSED in 8.9s //tensorflow/compiler/tests:proximal_gradient_descent_test_cpu PASSED in 8.6s //tensorflow/compiler/tests:quantized_ops_test_cpu PASSED in 18.0s //tensorflow/compiler/tests:reduce_window_test_cpu PASSED in 8.4s //tensorflow/compiler/tests:reduce_window_test_cpu_mlir_bridge_test PASSED in 10.1s //tensorflow/compiler/tests:reshape_op_test_cpu PASSED in 10.5s //tensorflow/compiler/tests:reshape_op_test_cpu_mlir_bridge_test PASSED in 10.2s //tensorflow/compiler/tests:reverse_ops_test_cpu PASSED in 21.9s //tensorflow/compiler/tests:reverse_ops_test_cpu_mlir_bridge_test PASSED in 13.5s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu PASSED in 10.0s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu_mlir_bridge_test PASSED in 11.2s //tensorflow/compiler/tests:risc_ops_test_cpu_mlir_bridge_test PASSED in 8.9s //tensorflow/compiler/tests:rmsprop_test_cpu PASSED in 12.3s //tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 31.8s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 17.4s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 9.6s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 12.0s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 23.6s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 54.3s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 19.5s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 27.0s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 24.0s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 32.7s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu PASSED in 9.1s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu_mlir_bridge_test PASSED in 9.3s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:tensor_float_32_test_cpu PASSED in 8.1s //tensorflow/compiler/tests:tensor_float_32_test_cpu_mlir_bridge_test PASSED in 9.0s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 10.1s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 12.7s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 20.6s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 18.8s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 23.1s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 8.2s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 23.2s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 25.7s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 8.4s //tensorflow/compiler/tests:while_test_cpu PASSED in 9.2s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 10.5s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 9.9s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 17.8s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 26.5s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 52.2s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 66.5s //tensorflow/compiler/tests:xla_test_test PASSED in 9.1s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 8.3s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.6s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 0.8s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 0.6s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 39.2s //tensorflow/compiler/tf2xla:graph_compiler_test PASSED in 6.2s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 1.4s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 11.2s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 2.2s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 0.6s //tensorflow/compiler/tf2xla:tf2xla_opset_test PASSED in 12.2s //tensorflow/compiler/tf2xla:tf2xla_test PASSED in 22.3s //tensorflow/compiler/tf2xla:tf2xla_util_test PASSED in 1.1s //tensorflow/compiler/tf2xla:xla_compiler_test PASSED in 20.9s //tensorflow/compiler/tf2xla:xla_jit_compiled_cpu_function_test PASSED in 24.1s //tensorflow/compiler/tf2xla:xla_op_registry_test PASSED in 6.9s //tensorflow/compiler/tf2xla/kernels:rng_converter_utils_test PASSED in 1.9s //tensorflow/compiler/xla:array2d_test PASSED in 0.1s //tensorflow/compiler/xla:array3d_test PASSED in 0.1s //tensorflow/compiler/xla:array4d_test PASSED in 0.6s //tensorflow/compiler/xla:array_test PASSED in 0.4s //tensorflow/compiler/xla:bit_cast_test PASSED in 0.6s //tensorflow/compiler/xla:comparison_util_test PASSED in 0.2s //tensorflow/compiler/xla:debug_options_parsers_test PASSED in 0.2s //tensorflow/compiler/xla:index_util_test PASSED in 0.2s //tensorflow/compiler/xla:iterator_util_test PASSED in 0.3s //tensorflow/compiler/xla:layout_test PASSED in 0.3s //tensorflow/compiler/xla:layout_util_test PASSED in 0.3s //tensorflow/compiler/xla:literal_test PASSED in 0.5s //tensorflow/compiler/xla:parse_flags_from_env_test PASSED in 0.6s //tensorflow/compiler/xla:permutation_util_test PASSED in 0.7s //tensorflow/compiler/xla:primitive_util_test PASSED in 0.3s //tensorflow/compiler/xla:refcounting_hash_map_test PASSED in 0.2s //tensorflow/compiler/xla:reference_util_test PASSED in 0.4s //tensorflow/compiler/xla:shape_test PASSED in 0.4s //tensorflow/compiler/xla:shape_tree_test PASSED in 0.7s //tensorflow/compiler/xla:shape_util_test PASSED in 2.2s //tensorflow/compiler/xla:status_macros_test PASSED in 0.3s //tensorflow/compiler/xla:text_literal_reader_test PASSED in 0.4s //tensorflow/compiler/xla:text_literal_writer_test PASSED in 0.2s //tensorflow/compiler/xla:types_test PASSED in 0.5s //tensorflow/compiler/xla:util_test PASSED in 0.5s //tensorflow/compiler/xla:window_util_test PASSED in 0.7s //tensorflow/compiler/xla/client:padding_test PASSED in 0.2s //tensorflow/compiler/xla/client:xla_builder_test PASSED in 0.6s //tensorflow/compiler/xla/client/lib:arithmetic_test_cpu PASSED in 13.3s //tensorflow/compiler/xla/client/lib:comparators_test_cpu PASSED in 13.8s //tensorflow/compiler/xla/client/lib:constants_test_cpu PASSED in 14.4s //tensorflow/compiler/xla/client/lib:logdet_test_cpu PASSED in 17.5s //tensorflow/compiler/xla/client/lib:math_test_cpu PASSED in 19.3s //tensorflow/compiler/xla/client/lib:matrix_test_cpu PASSED in 16.3s //tensorflow/compiler/xla/client/lib:pooling_test_cpu PASSED in 11.8s //tensorflow/compiler/xla/client/lib:qr_test_cpu PASSED in 16.8s //tensorflow/compiler/xla/client/lib:slicing_test_cpu PASSED in 13.5s //tensorflow/compiler/xla/client/lib:sorting_test_cpu PASSED in 12.1s //tensorflow/compiler/xla/examples/axpy:stablehlo_compile_test PASSED in 16.8s //tensorflow/compiler/xla/experiments/sm_bandwidth_benchmark:sm_bw_test PASSED in 0.3s //tensorflow/compiler/xla/hlo/evaluator:hlo_evaluator_test PASSED in 6.4s //tensorflow/compiler/xla/hlo/experimental/auto_sharding:auto_sharding_test PASSED in 11.2s //tensorflow/compiler/xla/hlo/transforms:hlo_constant_splitter_test PASSED in 1.6s //tensorflow/compiler/xla/hlo/utils:hlo_live_range_test PASSED in 1.1s //tensorflow/compiler/xla/hlo/utils:hlo_matchers_test PASSED in 2.2s //tensorflow/compiler/xla/hlo/utils:hlo_sharding_util_test PASSED in 0.1s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:collective_ops.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:fft.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:legalize_i1_vector_transfers.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:library_ops_to_cpu_runtime.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:lmhlo_custom_call.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:remove_copies_to_out_params.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:rng_bit_generator.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_abi_legalization.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_infeed.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_memref_element_cast_to_llvm.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_outfeed.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:add_concurrent_regions.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:add_hlo_trace.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_launch.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_memcpy.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_memset.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_case.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_custom_call.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_fft.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_cholesky.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_conv.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_cublas_lt_matmul.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_gemm.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_infeed.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_outfeed.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_send_recv.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_while.mlir.test PASSED in 2.0s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:memref_get_global_to_arg.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:outline_cuda_graphs.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/framework/tests:legalize-xla-framework.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/framework/tests:outline-with-xla-framework.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/mlir/framework/tests:xla-framework.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/mlir/math/transforms/tests:math_optimization.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/mlir/memref/transforms/tests:aligned_allocations.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/runtime/ir/tests:ops.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/runtime/ir/tests:ops_verify.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/runtime/ir/tests:testlib.mlir.test PASSED in 1.7s //tensorflow/compiler/xla/mlir/runtime/transforms:calling_convention_test PASSED in 0.5s //tensorflow/compiler/xla/mlir/runtime/transforms:type_converter_test PASSED in 0.2s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:compilation_pipeline.mlir.test PASSED in 1.6s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:convert_asserts.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:convert_custom_calls.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:export_functions.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:ordinal_assignment.mlir.test PASSED in 1.8s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:rt_to_llvm.mlir.test PASSED in 2.2s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:erase-op-without-results.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:inline-scf-while.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:reduce-scf-forall-bounds.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:replace-op-with-constant.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:replace-op-with-value.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:replace-operand-with-constant.mlir.test PASSED in 1.1s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:return-operands-of-terminator-operands.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:truncate-function.mlir.test PASSED in 1.4s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/tests:bisect.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/tests:no-bug.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/tests:snapshot.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/tools/mlir_replay/public:execution_trace_utils_test PASSED in 0.2s //tensorflow/compiler/xla/mlir/utils:error_util_test PASSED in 0.2s //tensorflow/compiler/xla/mlir/xla_cpu/tests:bufferize.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/xla_cpu/tests:invalid.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/xla_cpu/tests:ops.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/bufferization/hlo_one_shot_bufferize.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/chlo/chlo_legalize_to_hlo_broadcasts.mlir.test PASSED in 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//tensorflow/compiler/xla/python/ifrt/ir/tests:verify_assemble.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_attrs.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_call.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_call_loaded_executable.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_disassemble.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_loaded_executable.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/python/ifrt/ir/tests:verify_reshard.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/python/ifrt/support:sharding_param_to_op_sharding_test PASSED in 0.3s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_array_impl_test_tfrt_cpu PASSED in 17.4s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_client_impl_test_tfrt_cpu PASSED in 9.7s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_executable_impl_test_tfrt_cpu PASSED in 11.8s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_tuple_impl_test_tfrt_cpu PASSED in 11.2s //tensorflow/compiler/xla/python/pjrt_ifrt:xla_executable_test_no_impl PASSED in 2.0s //tensorflow/compiler/xla/python_api:xla_literal_test PASSED in 1.5s //tensorflow/compiler/xla/python_api:xla_shape_test PASSED in 0.8s //tensorflow/compiler/xla/rpc:grpc_client_test PASSED in 1.8s //tensorflow/compiler/xla/runtime:arguments_test PASSED in 0.4s //tensorflow/compiler/xla/runtime:async_runtime_test PASSED in 1.6s //tensorflow/compiler/xla/runtime:custom_call_test PASSED in 4.0s //tensorflow/compiler/xla/runtime:diagnostics_test PASSED in 0.1s //tensorflow/compiler/xla/runtime:executable_test PASSED in 3.8s //tensorflow/compiler/xla/runtime:ffi_test PASSED in 1.3s //tensorflow/compiler/xla/runtime:map_by_type_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:module_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:results_test PASSED in 0.3s //tensorflow/compiler/xla/runtime:state_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:symbolic_shape_test PASSED in 0.2s //tensorflow/compiler/xla/runtime:type_id_test PASSED in 0.1s //tensorflow/compiler/xla/service:algebraic_simplifier_overflow_test_cpu PASSED in 11.0s //tensorflow/compiler/xla/service:algebraic_simplifier_test PASSED in 27.9s //tensorflow/compiler/xla/service:all_gather_broadcast_reorder_test PASSED in 2.0s //tensorflow/compiler/xla/service:all_gather_combiner_test PASSED in 1.0s //tensorflow/compiler/xla/service:all_gather_decomposer_test PASSED in 1.4s //tensorflow/compiler/xla/service:all_reduce_combiner_test PASSED in 2.0s //tensorflow/compiler/xla/service:all_reduce_contiguous_test PASSED in 0.9s //tensorflow/compiler/xla/service:all_reduce_folder_test PASSED in 1.2s //tensorflow/compiler/xla/service:all_reduce_promotion_test PASSED in 1.0s //tensorflow/compiler/xla/service:all_reduce_reassociate_test PASSED in 1.7s //tensorflow/compiler/xla/service:all_reduce_simplifier_test PASSED in 1.0s //tensorflow/compiler/xla/service:ar_crs_combiner_test PASSED in 4.9s //tensorflow/compiler/xla/service:async_collective_creator_test PASSED in 1.0s //tensorflow/compiler/xla/service:async_op_canonicalizer_test PASSED in 1.6s //tensorflow/compiler/xla/service:batch_dot_simplification_test PASSED in 1.2s //tensorflow/compiler/xla/service:batchnorm_expander_test_cpu PASSED in 12.2s //tensorflow/compiler/xla/service:bfloat16_conversion_folding_test PASSED in 1.2s //tensorflow/compiler/xla/service:bfloat16_propagation_test PASSED in 1.9s //tensorflow/compiler/xla/service:bitcast_dtypes_expander_test PASSED in 1.5s //tensorflow/compiler/xla/service:broadcast_canonicalizer_test PASSED in 1.5s //tensorflow/compiler/xla/service:buffer_assignment_test PASSED in 24.2s //tensorflow/compiler/xla/service:call_graph_test PASSED in 3.5s //tensorflow/compiler/xla/service:call_inliner_test PASSED in 2.1s //tensorflow/compiler/xla/service:change_op_data_type_test PASSED in 1.6s //tensorflow/compiler/xla/service:collective_ops_utils_test PASSED in 0.6s //tensorflow/compiler/xla/service:collective_transformation_reorderer_test PASSED in 1.7s //tensorflow/compiler/xla/service:collectives_schedule_linearizer_test PASSED in 3.0s //tensorflow/compiler/xla/service:compilation_environments_test PASSED in 1.0s //tensorflow/compiler/xla/service:conditional_canonicalizer_test PASSED in 1.1s //tensorflow/compiler/xla/service:conditional_code_motion_test PASSED in 5.4s //tensorflow/compiler/xla/service:conditional_simplifier_test PASSED in 1.6s //tensorflow/compiler/xla/service:conditional_to_select_test PASSED in 1.4s //tensorflow/compiler/xla/service:convert_async_collectives_to_sync_test PASSED in 1.4s //tensorflow/compiler/xla/service:convert_mover_test PASSED in 1.7s //tensorflow/compiler/xla/service:convert_operand_folding_test PASSED in 1.8s //tensorflow/compiler/xla/service:convolution_4d_expander_test PASSED in 2.0s //tensorflow/compiler/xla/service:convolution_group_converter_test PASSED in 1.1s //tensorflow/compiler/xla/service:convolution_pred_expander_test PASSED in 2.5s //tensorflow/compiler/xla/service:copy_insertion_test PASSED in 2.0s //tensorflow/compiler/xla/service:custom_call_status_test PASSED in 0.2s //tensorflow/compiler/xla/service:defuser_test PASSED in 2.4s //tensorflow/compiler/xla/service:despecializer_test PASSED in 1.2s //tensorflow/compiler/xla/service:dfs_hlo_visitor_with_default_test PASSED in 0.9s //tensorflow/compiler/xla/service:dot_decomposer_test PASSED in 2.5s //tensorflow/compiler/xla/service:dot_dimension_merger_test PASSED in 3.1s //tensorflow/compiler/xla/service:dot_merger_test PASSED in 2.3s //tensorflow/compiler/xla/service:dynamic_dimension_inference_test PASSED in 3.6s //tensorflow/compiler/xla/service:dynamic_dimension_simplifier_test PASSED in 1.3s //tensorflow/compiler/xla/service:dynamic_index_splitter_test PASSED in 1.7s //tensorflow/compiler/xla/service:dynamic_padder_test_cpu PASSED in 32.7s //tensorflow/compiler/xla/service:dynamic_parameter_binding_test PASSED in 1.8s //tensorflow/compiler/xla/service:dynamic_update_slice_test_cpu PASSED in 15.3s //tensorflow/compiler/xla/service:elemental_ir_emitter_test_cpu PASSED in 14.4s //tensorflow/compiler/xla/service:flatten_call_graph_test PASSED in 2.2s //tensorflow/compiler/xla/service:float_normalization_test PASSED in 1.1s //tensorflow/compiler/xla/service:fusion_node_indexing_evaluation_test PASSED in 1.9s //tensorflow/compiler/xla/service:gather_expander_test PASSED in 2.0s //tensorflow/compiler/xla/service:gather_simplifier_test PASSED in 3.0s //tensorflow/compiler/xla/service:heap_simulator_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_alias_analysis_test PASSED in 2.8s //tensorflow/compiler/xla/service:hlo_casting_utils_test PASSED in 8.8s //tensorflow/compiler/xla/service:hlo_computation_deduplicator_test PASSED in 2.4s //tensorflow/compiler/xla/service:hlo_computation_test PASSED in 4.6s //tensorflow/compiler/xla/service:hlo_constant_folding_test PASSED in 7.8s //tensorflow/compiler/xla/service:hlo_cost_analysis_test PASSED in 15.8s //tensorflow/compiler/xla/service:hlo_creation_utils_test PASSED in 5.3s //tensorflow/compiler/xla/service:hlo_cse_test PASSED in 22.3s //tensorflow/compiler/xla/service:hlo_dataflow_analysis_test PASSED in 5.2s //tensorflow/compiler/xla/service:hlo_dce_test PASSED in 1.9s //tensorflow/compiler/xla/service:hlo_domain_test PASSED in 2.2s //tensorflow/compiler/xla/service:hlo_element_type_converter_test PASSED in 1.8s //tensorflow/compiler/xla/service:hlo_execution_profile_test PASSED in 9.6s //tensorflow/compiler/xla/service:hlo_graph_dumper_test PASSED in 2.0s //tensorflow/compiler/xla/service:hlo_input_output_alias_config_test PASSED in 1.9s //tensorflow/compiler/xla/service:hlo_instruction_test PASSED in 2.6s //tensorflow/compiler/xla/service:hlo_liveness_analysis_test PASSED in 2.9s //tensorflow/compiler/xla/service:hlo_memory_scheduler_test PASSED in 1.3s //tensorflow/compiler/xla/service:hlo_module_dce_test PASSED in 2.5s //tensorflow/compiler/xla/service:hlo_module_metadata_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_module_test PASSED in 1.4s //tensorflow/compiler/xla/service:hlo_opcode_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_ordering_test PASSED in 1.4s //tensorflow/compiler/xla/service:hlo_parser_test PASSED in 0.5s //tensorflow/compiler/xla/service:hlo_pass_pipeline_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_phi_graph_test PASSED in 0.3s //tensorflow/compiler/xla/service:hlo_proto_util_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_reachability_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_rematerialization_test PASSED in 1.9s //tensorflow/compiler/xla/service:hlo_rematerialization_test_utils_test PASSED in 1.4s //tensorflow/compiler/xla/service:hlo_replication_analysis_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_schedule_test PASSED in 1.9s //tensorflow/compiler/xla/service:hlo_sharding_test PASSED in 2.7s //tensorflow/compiler/xla/service:hlo_value_semantics_analysis_test PASSED in 1.6s //tensorflow/compiler/xla/service:hlo_verifier_test PASSED in 3.6s //tensorflow/compiler/xla/service:indexed_array_analysis_test PASSED in 1.2s //tensorflow/compiler/xla/service:instruction_fusion_test PASSED in 1.1s //tensorflow/compiler/xla/service:latency_hiding_scheduler_test PASSED in 3.6s //tensorflow/compiler/xla/service:layout_assignment_test PASSED in 9.4s //tensorflow/compiler/xla/service:layout_normalization_test PASSED in 5.1s //tensorflow/compiler/xla/service:logistic_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:loop_schedule_linearizer_test PASSED in 1.4s //tensorflow/compiler/xla/service:map_inliner_test PASSED in 2.0s //tensorflow/compiler/xla/service:mapped_ptr_container_sorter_test PASSED in 0.2s //tensorflow/compiler/xla/service:memory_space_assignment_best_fit_repacker_test PASSED in 1.5s //tensorflow/compiler/xla/service:memory_space_assignment_test PASSED in 8.3s //tensorflow/compiler/xla/service:memory_space_propagation_test PASSED in 1.6s //tensorflow/compiler/xla/service:name_uniquer_test PASSED in 0.1s //tensorflow/compiler/xla/service:operand_upcaster_test PASSED in 2.0s //tensorflow/compiler/xla/service:optimize_input_output_buffer_alias_test PASSED in 1.7s //tensorflow/compiler/xla/service:pattern_matcher_gmock_test PASSED in 0.5s //tensorflow/compiler/xla/service:pattern_matcher_test PASSED in 1.2s //tensorflow/compiler/xla/service:profile_guided_latency_estimator_test PASSED in 1.7s //tensorflow/compiler/xla/service:real_imag_expander_test PASSED in 4.1s //tensorflow/compiler/xla/service:reduce_decomposer_test PASSED in 2.2s //tensorflow/compiler/xla/service:reduce_scatter_combiner_test PASSED in 1.6s //tensorflow/compiler/xla/service:reduce_scatter_decomposer_test PASSED in 2.0s //tensorflow/compiler/xla/service:reduce_scatter_reassociate_test PASSED in 1.1s //tensorflow/compiler/xla/service:reshape_decomposer_test PASSED in 1.1s //tensorflow/compiler/xla/service:reshape_mover_test PASSED in 2.2s //tensorflow/compiler/xla/service:result_caster_test PASSED in 1.3s //tensorflow/compiler/xla/service:root_instruction_sinker_test PASSED in 1.0s //tensorflow/compiler/xla/service:scatter_expander_test PASSED in 1.5s //tensorflow/compiler/xla/service:scatter_simplifier_test PASSED in 0.9s //tensorflow/compiler/xla/service:select_and_scatter_expander_test PASSED in 9.4s //tensorflow/compiler/xla/service:shape_inference_test PASSED in 0.2s //tensorflow/compiler/xla/service:shaped_buffer_test PASSED in 10.6s //tensorflow/compiler/xla/service:sharding_propagation_test PASSED in 33.4s //tensorflow/compiler/xla/service:sharding_remover_test PASSED in 1.6s //tensorflow/compiler/xla/service:simplify_fp_conversions_test PASSED in 2.1s //tensorflow/compiler/xla/service:slice_sinker_test PASSED in 1.3s //tensorflow/compiler/xla/service:sort_simplifier_test PASSED in 2.2s //tensorflow/compiler/xla/service:space_to_batch_converter_test PASSED in 1.4s //tensorflow/compiler/xla/service:stable_sort_expander_test PASSED in 1.9s //tensorflow/compiler/xla/service:stochastic_convert_decomposer_test PASSED in 1.6s //tensorflow/compiler/xla/service:stream_pool_test PASSED in 0.5s //tensorflow/compiler/xla/service:topk_rewriter_test PASSED in 3.8s //tensorflow/compiler/xla/service:transpose_folding_test PASSED in 3.3s //tensorflow/compiler/xla/service:tuple_points_to_analysis_test PASSED in 1.4s //tensorflow/compiler/xla/service:tuple_simplifier_test PASSED in 2.6s //tensorflow/compiler/xla/service:tuple_util_test PASSED in 1.6s //tensorflow/compiler/xla/service:while_loop_all_reduce_code_motion_test PASSED in 4.7s //tensorflow/compiler/xla/service:while_loop_analysis_test PASSED in 1.2s //tensorflow/compiler/xla/service:while_loop_concat_code_motion_test PASSED in 2.1s //tensorflow/compiler/xla/service:while_loop_constant_sinking_test PASSED in 1.3s //tensorflow/compiler/xla/service:while_loop_expensive_invariant_code_motion_test PASSED in 1.4s //tensorflow/compiler/xla/service:while_loop_invariant_code_motion_test PASSED in 1.4s //tensorflow/compiler/xla/service:while_loop_simplifier_test PASSED in 2.2s //tensorflow/compiler/xla/service:while_loop_trip_count_annotator_test PASSED in 1.5s //tensorflow/compiler/xla/service:while_util_test PASSED in 2.0s //tensorflow/compiler/xla/service:xla_aot_compile_stablehlo_cpu_test PASSED in 17.1s //tensorflow/compiler/xla/service:xla_debug_info_manager_test PASSED in 1.1s //tensorflow/compiler/xla/service:zero_sized_hlo_elimination_test PASSED in 1.3s //tensorflow/compiler/xla/service/cpu:conv_canonicalization_test PASSED in 2.0s //tensorflow/compiler/xla/service/cpu:cpu_eigen_tensor_alignment_test PASSED in 1.6s //tensorflow/compiler/xla/service/cpu:cpu_instruction_fusion_test PASSED in 1.6s //tensorflow/compiler/xla/service/cpu:cpu_layout_assignment_test PASSED in 2.2s //tensorflow/compiler/xla/service/cpu:ir_emission_utils_test PASSED in 1.3s //tensorflow/compiler/xla/service/cpu:parallel_task_assignment_test PASSED in 3.3s //tensorflow/compiler/xla/service/cpu:runtime_fft_test PASSED in 0.7s //tensorflow/compiler/xla/service/cpu:shape_partition_test PASSED in 1.7s //tensorflow/compiler/xla/service/cpu:xfeed_manager_test PASSED in 0.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_bytesizeof_test PASSED in 1.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_dyn_shape_test PASSED in 11.5s //tensorflow/compiler/xla/service/cpu/tests:cpu_eigen_dot_operation_test PASSED in 11.3s //tensorflow/compiler/xla/service/cpu/tests:cpu_external_constants_test PASSED in 25.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_fusion_test PASSED in 12.1s //tensorflow/compiler/xla/service/cpu/tests:cpu_infeed_test PASSED in 11.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_intrinsic_test PASSED in 17.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_key_value_sort_test PASSED in 11.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_literal_caching_test PASSED in 10.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_noalias_test PASSED in 16.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_outfeed_test PASSED in 14.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_profiling_test PASSED in 13.8s //tensorflow/compiler/xla/service/cpu/tests:cpu_spmd_compile_test PASSED in 11.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_topk_test PASSED in 12.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_vectorization_test PASSED in 14.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_while_test PASSED in 11.0s //tensorflow/compiler/xla/service/cpu/tests:tree_reduction_rewriter_test PASSED in 10.5s //tensorflow/compiler/xla/service/gpu:alias_passthrough_params_test PASSED in 1.1s //tensorflow/compiler/xla/service/gpu:all_reduce_blueconnect_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu:backend_configs_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:cublas_pad_for_gemms_test PASSED in 2.9s //tensorflow/compiler/xla/service/gpu:cudnn_pad_for_convolutions_test PASSED in 3.4s //tensorflow/compiler/xla/service/gpu:cudnn_simplify_padding_test PASSED in 3.4s //tensorflow/compiler/xla/service/gpu:cudnn_support_utils_test PASSED in 2.7s //tensorflow/compiler/xla/service/gpu:cudnn_vectorize_convolutions_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:fusion_merger_test PASSED in 2.1s //tensorflow/compiler/xla/service/gpu:gemm_rewriter_triton_test PASSED in 2.2s //tensorflow/compiler/xla/service/gpu:gpu_async_collective_annotator_test PASSED in 2.4s //tensorflow/compiler/xla/service/gpu:gpu_conv_padding_legalization_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:gpu_conv_rewriter_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu:gpu_convert_async_collectives_to_sync_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:gpu_copy_insertion_test PASSED in 11.2s //tensorflow/compiler/xla/service/gpu:gpu_fusible_test PASSED in 4.4s //tensorflow/compiler/xla/service/gpu:gpu_hlo_cost_analysis_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu:gpu_performance_model_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:gpu_sanitize_constant_names_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu:hlo_algorithm_denylist_test PASSED in 0.2s //tensorflow/compiler/xla/service/gpu:hlo_fusion_stats_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:instruction_fusion_test PASSED in 2.2s //tensorflow/compiler/xla/service/gpu:ir_emission_utils_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu:matmul_utils_test PASSED in 2.3s //tensorflow/compiler/xla/service/gpu:move_copy_to_users_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:multi_output_fusion_test PASSED in 3.5s //tensorflow/compiler/xla/service/gpu:non_atomically_upgradeable_rw_lock_test PASSED in 0.2s //tensorflow/compiler/xla/service/gpu:reduction_splitter_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu:scatter_slice_simplifier_test PASSED in 2.2s //tensorflow/compiler/xla/service/gpu:target_util_test PASSED in 0.6s //tensorflow/compiler/xla/service/gpu:topk_splitter_test PASSED in 34.1s //tensorflow/compiler/xla/service/gpu:variadic_op_splitter_test PASSED in 3.2s //tensorflow/compiler/xla/service/gpu:while_transformer_test PASSED in 2.3s //tensorflow/compiler/xla/service/gpu/llvm_gpu_backend:utils_test PASSED in 0.8s //tensorflow/compiler/xla/service/gpu/tests:gpu_reduce_scatter_creator_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu/tests:reduction_degenerate_dim_remover_test PASSED in 2.9s //tensorflow/compiler/xla/service/gpu/tests:reduction_dimension_grouper_test PASSED in 9.7s //tensorflow/compiler/xla/service/gpu/tests:tree_reduction_rewriter_test PASSED in 2.9s //tensorflow/compiler/xla/service/graphcycles:graphcycles_test PASSED in 0.9s //tensorflow/compiler/xla/service/graphcycles:ordered_set_test PASSED in 0.8s //tensorflow/compiler/xla/service/llvm_ir:alias_analysis_test PASSED in 12.3s //tensorflow/compiler/xla/service/llvm_ir:ir_array_test PASSED in 0.6s //tensorflow/compiler/xla/service/spmd:canonicalize_all_gather_for_cse_test PASSED in 1.8s //tensorflow/compiler/xla/service/spmd:collective_permute_motion_test PASSED in 2.1s //tensorflow/compiler/xla/service/spmd:partition_assignment_test PASSED in 1.4s //tensorflow/compiler/xla/service/spmd:schedule_aware_collective_ops_cse_test PASSED in 1.2s //tensorflow/compiler/xla/service/spmd:spmd_partitioner_test PASSED in 7.4s //tensorflow/compiler/xla/service/spmd:stateful_rng_spmd_partitioner_test PASSED in 10.5s //tensorflow/compiler/xla/stream_executor:dnn_test PASSED in 1.2s //tensorflow/compiler/xla/stream_executor:stream_test PASSED in 0.2s //tensorflow/compiler/xla/stream_executor/host:host_stream_test PASSED in 0.2s //tensorflow/compiler/xla/tests:all_reduce_test_cpu PASSED in 16.0s //tensorflow/compiler/xla/tests:axpy_simple_test_cpu PASSED in 10.5s //tensorflow/compiler/xla/tests:bad_rng_shape_validation_test_cpu PASSED in 11.5s //tensorflow/compiler/xla/tests:binop_scaling_test_cpu PASSED in 16.2s //tensorflow/compiler/xla/tests:bitcast_convert_test_cpu PASSED in 16.3s //tensorflow/compiler/xla/tests:broadcast_simple_test_cpu PASSED in 14.1s //tensorflow/compiler/xla/tests:broadcast_test_cpu PASSED in 19.6s 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//tensorflow/compiler/xla/tests:local_client_allocation_test_cpu PASSED in 14.0s //tensorflow/compiler/xla/tests:local_client_aot_test PASSED in 0.3s //tensorflow/compiler/xla/tests:log_test_cpu PASSED in 15.1s //tensorflow/compiler/xla/tests:map_test_cpu PASSED in 13.3s //tensorflow/compiler/xla/tests:matrix_ops_simple_test_cpu PASSED in 20.9s //tensorflow/compiler/xla/tests:multidimensional_slice_test_cpu PASSED in 12.2s //tensorflow/compiler/xla/tests:multiple_devices_on_host_test PASSED in 13.7s //tensorflow/compiler/xla/tests:multithreaded_compilation_test_cpu PASSED in 13.9s //tensorflow/compiler/xla/tests:outfeed_in_nested_computation_test_cpu PASSED in 12.1s //tensorflow/compiler/xla/tests:pad_test_cpu PASSED in 11.5s //tensorflow/compiler/xla/tests:pred_test_cpu PASSED in 11.4s //tensorflow/compiler/xla/tests:query_inferred_shape_test_cpu PASSED in 13.1s //tensorflow/compiler/xla/tests:reduce_hlo_test_cpu PASSED in 14.1s //tensorflow/compiler/xla/tests:reduce_precision_test_cpu PASSED in 12.4s //tensorflow/compiler/xla/tests:replay_test_cpu PASSED in 12.0s //tensorflow/compiler/xla/tests:reshape_motion_test_cpu PASSED in 11.7s //tensorflow/compiler/xla/tests:reverse_test_cpu PASSED in 13.2s //tensorflow/compiler/xla/tests:round_trip_packed_literal_test_cpu PASSED in 12.0s //tensorflow/compiler/xla/tests:round_trip_transfer_test_cpu PASSED in 16.8s //tensorflow/compiler/xla/tests:sample_text_test_cpu PASSED in 15.0s //tensorflow/compiler/xla/tests:scatter_test_cpu PASSED in 24.8s //tensorflow/compiler/xla/tests:select_test_cpu PASSED in 13.2s //tensorflow/compiler/xla/tests:test_utils_test_cpu PASSED in 15.6s //tensorflow/compiler/xla/tests:token_hlo_test_cpu PASSED in 13.6s //tensorflow/compiler/xla/tests:topk_test_cpu PASSED in 14.0s //tensorflow/compiler/xla/tests:transfer_manager_test_cpu PASSED in 17.7s //tensorflow/compiler/xla/tests:transpose_test_cpu PASSED in 17.8s 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//tensorflow/compiler/xla/tests/fuzz:rand_000015_cpu PASSED in 11.0s //tensorflow/compiler/xla/tests/fuzz:rand_000016_cpu PASSED in 14.3s //tensorflow/compiler/xla/tests/fuzz:rand_000017_cpu PASSED in 11.9s //tensorflow/compiler/xla/tests/fuzz:rand_000018_cpu PASSED in 13.1s //tensorflow/compiler/xla/tests/fuzz:rand_000019_cpu PASSED in 11.5s //tensorflow/compiler/xla/tests/fuzz:rand_000020_cpu PASSED in 11.9s //tensorflow/compiler/xla/tests/fuzz:rand_000022_cpu PASSED in 12.4s //tensorflow/compiler/xla/tests/fuzz:rand_000024_cpu PASSED in 11.8s //tensorflow/compiler/xla/tests/fuzz:rand_000025_cpu PASSED in 16.7s //tensorflow/compiler/xla/tests/fuzz:rand_000026_cpu PASSED in 11.8s //tensorflow/compiler/xla/tests/fuzz:rand_000030_cpu PASSED in 11.7s //tensorflow/compiler/xla/tests/fuzz:rand_000031_cpu PASSED in 17.0s //tensorflow/compiler/xla/tests/fuzz:rand_000032_cpu PASSED in 12.4s //tensorflow/compiler/xla/tests/fuzz:rand_000033_cpu PASSED in 12.6s //tensorflow/compiler/xla/tests/fuzz:rand_000034_cpu PASSED in 10.5s //tensorflow/compiler/xla/tests/fuzz:rand_000035_cpu PASSED in 13.6s //tensorflow/compiler/xla/tests/fuzz:rand_000036_cpu PASSED in 14.5s //tensorflow/compiler/xla/tests/fuzz:rand_000039_cpu PASSED in 12.1s //tensorflow/compiler/xla/tests/fuzz:rand_000040_cpu PASSED in 12.7s //tensorflow/compiler/xla/tests/fuzz:rand_000041_cpu PASSED in 14.1s //tensorflow/compiler/xla/tests/fuzz:rand_000043_cpu PASSED in 11.3s //tensorflow/compiler/xla/tests/fuzz:rand_000049_cpu PASSED in 19.0s //tensorflow/compiler/xla/tests/fuzz:rand_000053_cpu PASSED in 11.6s //tensorflow/compiler/xla/tests/fuzz:rand_000056_cpu PASSED in 11.9s //tensorflow/compiler/xla/tests/fuzz:rand_000059_cpu PASSED in 11.4s //tensorflow/compiler/xla/tests/fuzz:rand_000061_cpu PASSED in 15.2s //tensorflow/compiler/xla/tests/fuzz:rand_000062_cpu PASSED in 14.2s //tensorflow/compiler/xla/tests/fuzz:rand_000064_cpu PASSED in 15.4s //tensorflow/compiler/xla/tests/fuzz:rand_000066_cpu PASSED in 13.2s //tensorflow/compiler/xla/tests/fuzz:rand_000069_cpu PASSED in 12.5s //tensorflow/compiler/xla/tests/fuzz:rand_000071_cpu PASSED in 14.1s //tensorflow/compiler/xla/tests/fuzz:rand_000077_cpu PASSED in 17.3s //tensorflow/compiler/xla/tests/fuzz:rand_000078_cpu PASSED in 12.4s //tensorflow/compiler/xla/tests/fuzz:rand_000079_cpu PASSED in 16.3s //tensorflow/compiler/xla/tests/fuzz:rand_000081_cpu PASSED in 11.5s //tensorflow/compiler/xla/tests/fuzz:rand_000084_cpu PASSED in 16.0s //tensorflow/compiler/xla/tests/fuzz:rand_000085_cpu PASSED in 15.4s //tensorflow/compiler/xla/tests/fuzz:rand_000086_cpu PASSED in 11.6s //tensorflow/compiler/xla/tests/fuzz:rand_000088_cpu PASSED in 11.4s //tensorflow/compiler/xla/tests/fuzz:rand_000089_cpu PASSED in 9.6s //tensorflow/compiler/xla/tests/fuzz:rand_000090_cpu PASSED in 12.6s //tensorflow/compiler/xla/tests/fuzz:rand_000092_cpu PASSED in 11.9s //tensorflow/compiler/xla/tests/fuzz:rand_000094_cpu PASSED in 12.4s //tensorflow/compiler/xla/tests/fuzz:rand_000095_cpu PASSED in 12.1s //tensorflow/compiler/xla/tools:hlo_control_flow_flattening_test PASSED in 1.7s //tensorflow/compiler/xla/tools:hlo_extractor_test PASSED in 2.3s //tensorflow/compiler/xla/tools:hlo_module_loader_test PASSED in 1.1s //tensorflow/compiler/xla/tools:interactive_graphviz_bin_test PASSED in 0.3s //tensorflow/compiler/xla/tools:run_hlo_module_bin_test PASSED in 0.7s //tensorflow/compiler/xla/tools/hlo_bisect:hlo_bisect_state_test PASSED in 1.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo:hlo_utils_test PASSED in 1.0s //tensorflow/compiler/xla/translate/hlo_to_mhlo:mlir_hlo_builder_test PASSED in 1.1s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:bool_compare.hlotxt.test PASSED in 2.1s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:case_conditional.hlotxt.test PASSED in 1.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:dynamic_param.hlo.test PASSED in 1.1s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:entry_computation_layout.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:frontend_attributes.hlotxt.test PASSED in 0.9s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fully_connected_reference_model.hlotxt.test PASSED in 1.1s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fusion.hlotxt.test PASSED in 1.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:if_conditional.hlotxt.test PASSED in 1.3s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import.hlotxt.test PASSED in 2.2s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import_async.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:layouts_and_names.hlotxt.test PASSED in 1.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:location.hlotxt.test PASSED in 1.3s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:module_attributes.hlo.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:simple.hlo.test PASSED in 0.8s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:spmd_module_sharding.hlo.test PASSED in 1.1s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:types.hlotxt.test PASSED in 0.9s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:while.hlotxt.test PASSED in 1.3s //tensorflow/compiler/xla/translate/mhlo_to_hlo:type_to_shape_test PASSED in 0.8s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:add.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:case.mlir.test PASSED in 1.1s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:dynamic.mlir.test PASSED in 1.1s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export-with-layouts.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export.mlir.test PASSED in 5.1s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_and_check_layouts.mlir.test PASSED in 2.2s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_large_constants.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_replicas.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:frontend_attributes.mlir.test PASSED in 1.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:fusion.mlir.test PASSED in 1.1s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:if.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:input_output_aliasing.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:layouts_and_names.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:location_to_op_metadata.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:missing_main.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:module_attributes.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:multiple_return_tuple.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:opaque_elements_attr.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:rng_get_and_update_state.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:sharding.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:simple.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:unsupported_type.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:while.mlir.test PASSED in 1.6s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:hlo_text_to_lhlo_no_opt.hlotxt.test PASSED in 6.5s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:no_opt_ops.hlotxt.test PASSED in 1.2s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:non_identity_layouts.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:ops.mlir.test PASSED in 3.8s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:passthrough.mlir.test PASSED in 0.6s //tensorflow/core:__tensorflow_core_lib_core_legacy_lib_core_all_tests PASSED in 9.7s //tensorflow/core:__tensorflow_core_lib_gtl_legacy_lib_gtl_tests PASSED in 1.3s //tensorflow/core:__tensorflow_core_lib_monitoring_cell_reader_test PASSED in 45.3s //tensorflow/core:__tensorflow_core_lib_monitoring_collection_registry_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_counter_test PASSED in 0.7s //tensorflow/core:__tensorflow_core_lib_monitoring_gauge_test PASSED in 0.5s //tensorflow/core:__tensorflow_core_lib_monitoring_metric_def_test PASSED in 0.6s //tensorflow/core:__tensorflow_core_lib_monitoring_percentile_sampler_test PASSED in 0.9s //tensorflow/core:__tensorflow_core_lib_monitoring_sampler_test PASSED in 0.3s //tensorflow/core:__tensorflow_core_lib_monitoring_test_utils_test PASSED in 0.6s //tensorflow/core:__tensorflow_core_lib_strings_legacy_low_level_library_tests PASSED in 0.2s //tensorflow/core:__tensorflow_core_lib_wav_wav_io_test PASSED in 0.9s //tensorflow/core:__tensorflow_core_util_mkl_util_test_srcs PASSED in 0.7s //tensorflow/core:__tensorflow_tsl_lib_core_legacy_lib_core_all_tests PASSED in 0.6s //tensorflow/core:lib_strings_ordered_code_test PASSED in 2.1s //tensorflow/core:lib_strings_proto_serialization_test PASSED in 0.2s //tensorflow/core/api_def:api_test PASSED in 4.0s //tensorflow/core/api_def:update_api_def_test PASSED in 0.2s //tensorflow/core/common_runtime:all_to_all_test_cpu PASSED in 1.2s //tensorflow/core/common_runtime:arg_ret_placement_test PASSED in 0.8s //tensorflow/core/common_runtime:buf_rendezvous_test PASSED in 2.4s //tensorflow/core/common_runtime:collective_executor_mgr_test PASSED in 0.9s //tensorflow/core/common_runtime:collective_param_resolver_local_test PASSED in 9.2s //tensorflow/core/common_runtime:collective_rma_local_test PASSED in 2.1s //tensorflow/core/common_runtime:composite_device_test PASSED in 0.6s //tensorflow/core/common_runtime:cost_measurement_registry_test PASSED in 2.7s //tensorflow/core/common_runtime:cost_util_test PASSED in 0.6s //tensorflow/core/common_runtime:device_mgr_test PASSED in 0.8s //tensorflow/core/common_runtime:device_propagation_test PASSED in 1.3s //tensorflow/core/common_runtime:device_resolver_local_test PASSED in 2.2s //tensorflow/core/common_runtime:device_set_test PASSED in 0.8s //tensorflow/core/common_runtime:direct_session_test_cpu PASSED in 5.2s //tensorflow/core/common_runtime:direct_session_with_debug_test PASSED in 4.7s //tensorflow/core/common_runtime:direct_session_with_tracking_alloc_test PASSED in 2.2s //tensorflow/core/common_runtime:dynamic_device_mgr_test PASSED in 0.7s 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//tensorflow/core/common_runtime:int32_fulltype_test PASSED in 0.7s //tensorflow/core/common_runtime:isolate_placer_inspection_required_ops_pass_test PASSED in 1.9s //tensorflow/core/common_runtime:lower_case_op_test PASSED in 4.1s //tensorflow/core/common_runtime:lower_function_call_test PASSED in 2.5s //tensorflow/core/common_runtime:lower_functional_ops_test PASSED in 3.2s //tensorflow/core/common_runtime:lower_if_op_test PASSED in 2.9s //tensorflow/core/common_runtime:lower_while_op_test PASSED in 3.2s //tensorflow/core/common_runtime:mkl_cpu_allocator_test PASSED in 0.9s //tensorflow/core/common_runtime:mkl_threadpool_device_test PASSED in 0.2s //tensorflow/core/common_runtime:no_op_cost_measurement_test PASSED in 0.6s //tensorflow/core/common_runtime:null_request_cost_accessor_test PASSED in 0.1s //tensorflow/core/common_runtime:optimization_registry_test PASSED in 1.4s //tensorflow/core/common_runtime:optimize_cross_host_control_deps_test PASSED in 8.3s //tensorflow/core/common_runtime:optimize_function_graph_utils_test PASSED in 1.1s //tensorflow/core/common_runtime:partitioning_utils_test PASSED in 0.8s //tensorflow/core/common_runtime:pending_counts_test PASSED in 1.4s //tensorflow/core/common_runtime:permuter_test_cpu PASSED in 12.5s //tensorflow/core/common_runtime:placer_inspection_required_ops_utils_test PASSED in 0.7s //tensorflow/core/common_runtime:placer_test PASSED in 0.9s //tensorflow/core/common_runtime:process_function_library_runtime_test_cpu PASSED in 0.8s //tensorflow/core/common_runtime:process_util_test PASSED in 0.6s //tensorflow/core/common_runtime:quantize_training_test PASSED in 2.5s //tensorflow/core/common_runtime:rendezvous_util_test PASSED in 0.7s //tensorflow/core/common_runtime:replicate_per_replica_nodes_test PASSED in 0.9s //tensorflow/core/common_runtime:request_cost_accessor_registry_test PASSED in 2.6s //tensorflow/core/common_runtime:request_cost_test PASSED in 0.1s //tensorflow/core/common_runtime:ring_gatherer_test_cpu PASSED in 5.2s //tensorflow/core/common_runtime:ring_reducer_test_cpu PASSED in 12.0s //tensorflow/core/common_runtime:scoped_allocator_mgr_test PASSED in 11.5s //tensorflow/core/common_runtime:session_test PASSED in 1.4s //tensorflow/core/common_runtime:shape_refiner_test PASSED in 1.6s //tensorflow/core/common_runtime:single_threaded_executor_test PASSED in 2.0s //tensorflow/core/common_runtime:threadpool_device_test PASSED in 1.3s //tensorflow/core/common_runtime:type_inference_test PASSED in 3.5s //tensorflow/core/common_runtime/eager:attr_builder_test PASSED in 32.3s //tensorflow/core/common_runtime/eager:context_test PASSED in 17.8s //tensorflow/core/common_runtime/eager:custom_device_test PASSED in 19.3s //tensorflow/core/common_runtime/eager:eager_executor_test PASSED in 21.4s //tensorflow/core/common_runtime/eager:eager_op_rewrite_registry_test PASSED in 2.3s //tensorflow/core/common_runtime/eager:eager_operation_test PASSED in 16.3s //tensorflow/core/common_runtime/eager:execute_node_test PASSED in 14.8s //tensorflow/core/common_runtime/eager:execute_test PASSED in 47.1s //tensorflow/core/common_runtime/eager:kernel_and_device_test PASSED in 2.2s //tensorflow/core/common_runtime/eager:mkl_eager_op_rewrite_test PASSED in 17.5s //tensorflow/core/common_runtime/eager:placement_test PASSED in 14.9s //tensorflow/core/common_runtime/eager:placement_utils_test PASSED in 15.8s //tensorflow/core/common_runtime/eager:tensor_handle_data_test PASSED in 17.2s //tensorflow/core/common_runtime/eager:tensor_handle_test PASSED in 18.8s //tensorflow/core/common_runtime/gpu:gpu_device_on_non_gpu_machine_test PASSED in 0.8s //tensorflow/core/common_runtime/next_pluggable_device/c:plugin_c_api_test PASSED in 44.6s //tensorflow/core/config:flags_py_test PASSED in 7.1s //tensorflow/core/config:flags_test PASSED in 0.1s //tensorflow/core/data:compression_utils_test PASSED in 3.0s //tensorflow/core/data:dataset_utils_test PASSED in 2.3s //tensorflow/core/data:hash_utils_test PASSED in 0.9s //tensorflow/core/data:metric_utils_test PASSED in 5.7s //tensorflow/core/data:name_utils_test PASSED in 0.2s //tensorflow/core/data:rewrite_utils_test PASSED in 0.8s //tensorflow/core/data:serialization_utils_test PASSED in 1.0s //tensorflow/core/data:snapshot_utils_test PASSED in 0.9s //tensorflow/core/data:split_utils_test PASSED in 1.1s //tensorflow/core/data:standalone_save_restore_test PASSED in 2.5s //tensorflow/core/data:standalone_test PASSED in 2.3s //tensorflow/core/data:tfdataz_metrics_test PASSED in 2.5s //tensorflow/core/data:unbounded_thread_pool_test PASSED in 0.7s //tensorflow/core/data/service:auto_shard_rewriter_test PASSED in 1.3s //tensorflow/core/data/service:common_test PASSED in 0.1s //tensorflow/core/data/service:credentials_factory_test PASSED in 1.3s //tensorflow/core/data/service:cross_trainer_cache_test PASSED in 1.5s //tensorflow/core/data/service:data_service_test PASSED in 18.9s //tensorflow/core/data/service:data_transfer_test PASSED in 0.6s //tensorflow/core/data/service:dataset_store_test PASSED in 1.7s //tensorflow/core/data/service:dispatcher_client_test PASSED in 8.8s //tensorflow/core/data/service:dispatcher_state_test PASSED in 0.5s //tensorflow/core/data/service:grpc_dispatcher_impl_test PASSED in 13.8s //tensorflow/core/data/service:grpc_util_test PASSED in 1.3s //tensorflow/core/data/service:grpc_worker_impl_test PASSED in 5.3s //tensorflow/core/data/service:journal_test PASSED in 0.5s //tensorflow/core/data/service:logging_utils_test PASSED in 0.6s //tensorflow/core/data/service:task_runner_test PASSED in 5.2s //tensorflow/core/data/service:test_util_test PASSED in 4.2s //tensorflow/core/data/service:url_test PASSED in 0.2s //tensorflow/core/data/service:utils_test PASSED in 0.9s //tensorflow/core/data/service:validate_utils_test PASSED in 0.1s //tensorflow/core/data/service:worker_client_test PASSED in 4.4s //tensorflow/core/data/service:worker_impl_test PASSED in 5.3s //tensorflow/core/data/service/client:data_service_client_test PASSED in 7.1s //tensorflow/core/data/service/client:utils_test PASSED in 5.1s //tensorflow/core/data/service/client:validate_utils_test PASSED in 2.9s //tensorflow/core/data/service/snapshot:distributed_snapshot_test PASSED in 23.1s //tensorflow/core/data/service/snapshot:file_utils_test PASSED in 1.9s //tensorflow/core/data/service/snapshot:path_utils_test PASSED in 0.6s //tensorflow/core/data/service/snapshot:snapshot_manager_test PASSED in 3.6s //tensorflow/core/data/service/snapshot:snapshot_split_provider_test PASSED in 1.3s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_checkpoint_test PASSED in 14.8s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_test PASSED in 5.4s //tensorflow/core/data/service/snapshot:utils_test PASSED in 0.3s //tensorflow/core/debug:debug_graph_utils_test PASSED in 1.3s //tensorflow/core/distributed_runtime:call_options_test PASSED in 0.6s //tensorflow/core/distributed_runtime:cluster_function_library_runtime_test PASSED in 5.6s //tensorflow/core/distributed_runtime:collective_param_resolver_distributed_test PASSED in 1.4s //tensorflow/core/distributed_runtime:collective_rma_distributed_test PASSED in 0.9s //tensorflow/core/distributed_runtime:device_resolver_distributed_test PASSED in 1.1s //tensorflow/core/distributed_runtime:message_wrappers_test PASSED in 0.1s //tensorflow/core/distributed_runtime:partial_run_mgr_test PASSED in 0.4s //tensorflow/core/distributed_runtime:recent_request_ids_test PASSED in 0.4s //tensorflow/core/distributed_runtime:request_id_test PASSED in 0.1s //tensorflow/core/distributed_runtime:rpc_collective_executor_mgr_test PASSED in 1.0s //tensorflow/core/distributed_runtime:server_lib_test PASSED in 0.7s //tensorflow/core/distributed_runtime:session_mgr_test PASSED in 2.1s //tensorflow/core/distributed_runtime:tensor_coding_test PASSED in 0.4s //tensorflow/core/distributed_runtime/coordination:coordination_service_barrier_proxy_test PASSED in 3.8s //tensorflow/core/distributed_runtime/eager:eager_service_impl_test PASSED in 27.9s //tensorflow/core/distributed_runtime/eager:remote_mgr_test PASSED in 18.0s //tensorflow/core/distributed_runtime/integration_test:c_api_multi_client_test_cpu PASSED in 46.7s //tensorflow/core/distributed_runtime/integration_test:c_api_recoverable_jobs_test_cpu PASSED in 46.5s //tensorflow/core/distributed_runtime/integration_test:c_api_session_coordination_test_cpu PASSED in 45.3s //tensorflow/core/distributed_runtime/rpc:grpc_tensor_coding_test PASSED in 4.1s //tensorflow/core/distributed_runtime/rpc:grpc_worker_cache_test PASSED in 1.8s //tensorflow/core/distributed_runtime/rpc/eager:grpc_eager_client_test PASSED in 0.6s //tensorflow/core/example:example_parser_configuration_test PASSED in 1.3s //tensorflow/core/example:feature_util_test PASSED in 0.1s //tensorflow/core/framework:allocator_test PASSED in 4.6s //tensorflow/core/framework:attr_value_util_test PASSED in 1.4s //tensorflow/core/framework:batch_util_test PASSED in 1.3s //tensorflow/core/framework:bfloat16_test PASSED in 1.7s //tensorflow/core/framework:common_shape_fns_test PASSED in 0.9s //tensorflow/core/framework:dataset_test PASSED in 1.3s //tensorflow/core/framework:device_base_test PASSED in 1.7s //tensorflow/core/framework:disable_jit_test PASSED in 1.2s //tensorflow/core/framework:framework_op_gen_lib_test PASSED in 0.1s //tensorflow/core/framework:framework_op_segment_test PASSED in 1.3s //tensorflow/core/framework:framework_resource_var_test PASSED in 0.1s //tensorflow/core/framework:framework_run_handler_test PASSED in 4.3s //tensorflow/core/framework:framework_run_handler_util_test PASSED in 2.7s //tensorflow/core/framework:full_type_inference_util_test PASSED in 0.7s //tensorflow/core/framework:full_type_util_test PASSED in 0.9s //tensorflow/core/framework:function_test PASSED in 1.0s //tensorflow/core/framework:graph_def_util_test PASSED in 1.1s //tensorflow/core/framework:graph_to_functiondef_test PASSED in 2.5s //tensorflow/core/framework:kernel_def_builder_test PASSED in 1.3s //tensorflow/core/framework:kernel_def_util_test PASSED in 1.0s //tensorflow/core/framework:memory_types_test PASSED in 1.2s //tensorflow/core/framework:model_test PASSED in 1.1s //tensorflow/core/framework:node_def_builder_test PASSED in 1.1s //tensorflow/core/framework:node_def_util_test PASSED in 1.5s //tensorflow/core/framework:node_properties_test PASSED in 1.5s //tensorflow/core/framework:op_compatibility_test PASSED in 0.8s //tensorflow/core/framework:op_def_builder_test PASSED in 0.8s //tensorflow/core/framework:op_def_util_test PASSED in 0.9s //tensorflow/core/framework:op_kernel_test PASSED in 0.8s //tensorflow/core/framework:op_registration_test PASSED in 1.0s //tensorflow/core/framework:partial_tensor_shape_test PASSED in 0.9s //tensorflow/core/framework:rendezvous_test PASSED in 4.1s //tensorflow/core/framework:resource_handle_test PASSED in 1.0s //tensorflow/core/framework:resource_mgr_test PASSED in 1.9s //tensorflow/core/framework:resource_op_kernel_test PASSED in 1.6s //tensorflow/core/framework:shape_inference_test PASSED in 9.1s //tensorflow/core/framework:shape_inference_testutil_test PASSED in 1.6s //tensorflow/core/framework:tensor_shape_test PASSED in 7.1s //tensorflow/core/framework:tensor_slice_test PASSED in 1.6s //tensorflow/core/framework:tensor_test PASSED in 29.3s //tensorflow/core/framework:tensor_testutil_test PASSED in 2.4s //tensorflow/core/framework:tensor_util_test PASSED in 10.0s //tensorflow/core/framework:tracking_allocator_test PASSED in 1.4s //tensorflow/core/framework:types_test PASSED in 0.8s //tensorflow/core/framework:variant_op_registry_test PASSED in 20.1s //tensorflow/core/framework:variant_test PASSED in 1.2s //tensorflow/core/framework/registration:registration_test PASSED in 1.2s //tensorflow/core/function/capture:by_ref_capture_test PASSED in 18.2s //tensorflow/core/function/capture:capture_container_test PASSED in 8.0s //tensorflow/core/function/integration_test:side_inputs_manual_api_test PASSED in 18.4s //tensorflow/core/function/integration_test:side_inputs_test PASSED in 18.0s //tensorflow/core/function/polymorphism:function_cache_test PASSED in 9.3s //tensorflow/core/function/polymorphism:function_type_test PASSED in 7.6s //tensorflow/core/function/polymorphism:type_dispatch_test PASSED in 16.0s //tensorflow/core/function/runtime_client:runtime_client_cc_test PASSED in 58.9s //tensorflow/core/function/trace_type:default_types_test PASSED in 7.6s //tensorflow/core/function/trace_type:serialization_test PASSED in 6.3s //tensorflow/core/function/trace_type:trace_type_test PASSED in 11.4s //tensorflow/core/graph:algorithm_test PASSED in 1.5s //tensorflow/core/graph:collective_order_test PASSED in 1.3s //tensorflow/core/graph:control_flow_test PASSED in 0.9s //tensorflow/core/graph:costmodel_test PASSED in 1.1s //tensorflow/core/graph:edgeset_test PASSED in 1.4s //tensorflow/core/graph:graph_debug_info_builder_test PASSED in 1.2s //tensorflow/core/graph:graph_def_builder_test PASSED in 1.5s //tensorflow/core/graph:graph_partition_test PASSED in 1.0s //tensorflow/core/graph:graph_test PASSED in 0.9s //tensorflow/core/graph:node_builder_test PASSED in 1.2s //tensorflow/core/graph:optimizer_cse_test PASSED in 1.2s //tensorflow/core/graph:subgraph_test PASSED in 2.1s //tensorflow/core/graph:tensor_id_test PASSED in 1.6s //tensorflow/core/graph:validate_test PASSED in 1.4s //tensorflow/core/graph/regularization:simple_delete_test PASSED in 0.9s //tensorflow/core/graph/regularization:util_test PASSED in 0.1s //tensorflow/core/grappler:graph_topology_view_test PASSED in 0.4s //tensorflow/core/grappler:graph_view_test PASSED in 5.0s //tensorflow/core/grappler:grappler_item_builder_test PASSED in 2.0s //tensorflow/core/grappler:grappler_item_test PASSED in 2.7s //tensorflow/core/grappler:mutable_graph_view_test PASSED in 1.9s //tensorflow/core/grappler:utils_test PASSED in 3.2s //tensorflow/core/grappler/clusters:single_machine_test PASSED in 24.8s //tensorflow/core/grappler/clusters:virtual_cluster_test PASSED in 2.5s //tensorflow/core/grappler/costs:analytical_cost_estimator_test PASSED in 2.6s //tensorflow/core/grappler/costs:cost_estimator_test PASSED in 0.5s //tensorflow/core/grappler/costs:graph_memory_test PASSED in 1.9s //tensorflow/core/grappler/costs:graph_properties_test PASSED in 12.9s //tensorflow/core/grappler/costs:robust_stats_test PASSED in 0.3s //tensorflow/core/grappler/costs:utils_test PASSED in 2.7s //tensorflow/core/grappler/costs:virtual_placer_test PASSED in 0.4s //tensorflow/core/grappler/costs:virtual_scheduler_test PASSED in 2.6s //tensorflow/core/grappler/graph_analyzer:gen_node_test PASSED in 3.1s //tensorflow/core/grappler/graph_analyzer:graph_analyzer_test PASSED in 2.9s //tensorflow/core/grappler/graph_analyzer:hash_tools_test PASSED in 3.5s //tensorflow/core/grappler/graph_analyzer:sig_node_test PASSED in 3.4s //tensorflow/core/grappler/graph_analyzer:subgraph_test PASSED in 2.2s //tensorflow/core/grappler/inputs:utils_test PASSED in 0.1s //tensorflow/core/grappler/optimizers:arithmetic_optimizer_test_cpu PASSED in 5.6s //tensorflow/core/grappler/optimizers:auto_parallel_test_cpu PASSED in 2.4s //tensorflow/core/grappler/optimizers:common_subgraph_elimination_test_cpu PASSED in 2.5s //tensorflow/core/grappler/optimizers:custom_graph_optimizer_registry_test_cpu PASSED in 4.2s //tensorflow/core/grappler/optimizers:debug_stripper_test_cpu PASSED in 2.7s //tensorflow/core/grappler/optimizers:dependency_optimizer_test_cpu PASSED in 3.5s //tensorflow/core/grappler/optimizers:evaluation_utils_test PASSED in 0.9s //tensorflow/core/grappler/optimizers:function_api_info_test PASSED in 0.2s //tensorflow/core/grappler/optimizers:function_optimizer_test_cpu PASSED in 5.4s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_test_cpu PASSED in 3.5s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_transposer_factory_test PASSED in 0.3s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_transposer_test_cpu PASSED in 2.0s //tensorflow/core/grappler/optimizers:graph_optimizer_stage_test_cpu PASSED in 2.3s //tensorflow/core/grappler/optimizers:implementation_selector_test PASSED in 3.1s //tensorflow/core/grappler/optimizers:loop_optimizer_test_cpu PASSED in 3.7s //tensorflow/core/grappler/optimizers:memory_optimizer_test_cpu PASSED in 2.7s //tensorflow/core/grappler/optimizers:meta_optimizer_test_cpu PASSED in 10.4s //tensorflow/core/grappler/optimizers:mkl_remapper_test PASSED in 5.1s //tensorflow/core/grappler/optimizers:model_pruner_test_cpu PASSED in 2.6s //tensorflow/core/grappler/optimizers:pin_to_host_optimizer_test_cpu PASSED in 2.8s //tensorflow/core/grappler/optimizers:scoped_allocator_optimizer_test PASSED in 3.3s //tensorflow/core/grappler/optimizers:shape_optimizer_test_cpu PASSED in 2.8s //tensorflow/core/grappler/optimizers:static_schedule_test_cpu PASSED in 9.6s //tensorflow/core/grappler/optimizers:tfg_optimizer_hook_test PASSED in 0.8s //tensorflow/core/grappler/optimizers/data:auto_shard_test PASSED in 1.9s //tensorflow/core/grappler/optimizers/data:autotune_buffer_sizes_test PASSED in 0.8s //tensorflow/core/grappler/optimizers/data:batch_parallelization_test PASSED in 1.0s //tensorflow/core/grappler/optimizers/data:disable_intra_op_parallelism_test PASSED in 2.8s //tensorflow/core/grappler/optimizers/data:disable_prefetch_legacy_autotune_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:enable_gradient_descent_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:filter_fusion_test PASSED in 0.9s //tensorflow/core/grappler/optimizers/data:filter_parallelization_test PASSED in 1.0s //tensorflow/core/grappler/optimizers/data:function_utils_test PASSED in 0.9s //tensorflow/core/grappler/optimizers/data:fusion_utils_test PASSED in 1.1s //tensorflow/core/grappler/optimizers/data:graph_utils_test PASSED in 2.0s //tensorflow/core/grappler/optimizers/data:inject_prefetch_test PASSED in 1.0s //tensorflow/core/grappler/optimizers/data:make_deterministic_test PASSED in 0.9s //tensorflow/core/grappler/optimizers/data:make_sloppy_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:map_and_batch_fusion_test PASSED in 2.2s //tensorflow/core/grappler/optimizers/data:map_and_filter_fusion_test PASSED in 0.7s //tensorflow/core/grappler/optimizers/data:map_fusion_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:map_parallelization_test PASSED in 1.0s //tensorflow/core/grappler/optimizers/data:noop_elimination_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:parallel_batch_test PASSED in 1.2s //tensorflow/core/grappler/optimizers/data:replicate_on_split_test PASSED in 1.5s //tensorflow/core/grappler/optimizers/data:shuffle_and_repeat_fusion_test PASSED in 1.5s //tensorflow/core/grappler/optimizers/data:slack_test PASSED in 2.5s //tensorflow/core/grappler/optimizers/data:split_utils_test PASSED in 2.2s //tensorflow/core/grappler/optimizers/data:use_private_thread_pool_test PASSED in 1.2s //tensorflow/core/grappler/optimizers/inference:batch_op_rewriter_test PASSED in 0.3s //tensorflow/core/grappler/utils:canonicalizer_test PASSED in 2.2s //tensorflow/core/grappler/utils:colocation_test PASSED in 0.7s //tensorflow/core/grappler/utils:frame_test PASSED in 0.2s //tensorflow/core/grappler/utils:functions_test PASSED in 3.5s //tensorflow/core/grappler/utils:graph_view_internal_test PASSED in 3.2s //tensorflow/core/grappler/utils:graph_view_test PASSED in 3.1s //tensorflow/core/grappler/utils:grappler_test_test PASSED in 7.0s //tensorflow/core/grappler/utils:pattern_utils_test PASSED in 0.9s //tensorflow/core/grappler/utils:scc_test PASSED in 2.4s //tensorflow/core/grappler/utils:symbolic_shapes_test PASSED in 0.7s //tensorflow/core/grappler/utils:topological_sort_test PASSED in 0.6s //tensorflow/core/grappler/utils:tpu_test PASSED in 0.1s //tensorflow/core/grappler/utils:transitive_fanin_test PASSED in 2.7s //tensorflow/core/grappler/utils:traversal_test PASSED in 0.9s //tensorflow/core/grappler/verifiers:structure_verifier_test PASSED in 3.9s //tensorflow/core/ir:interfaces_test PASSED in 0.6s //tensorflow/core/ir:ops_test PASSED in 0.4s //tensorflow/core/ir:shape_inference_utils_test PASSED in 0.6s //tensorflow/core/ir:tf_op_registry_test PASSED in 0.8s //tensorflow/core/ir:tf_op_wrapper_test PASSED in 0.2s //tensorflow/core/ir:utility_test PASSED in 0.4s 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//tensorflow/python:control_flow_ops_test_cpu PASSED in 31.6s Stats over 2 runs: max = 31.6s, min = 25.3s, avg = 28.5s, dev = 3.2s //tensorflow/python/data/experimental/kernel_tests/optimization:optimization_test PASSED in 20.6s Stats over 2 runs: max = 20.6s, min = 13.5s, avg = 17.1s, dev = 3.6s //tensorflow/python/data/experimental/kernel_tests/service:metadata_test PASSED in 23.8s Stats over 2 runs: max = 23.8s, min = 19.3s, avg = 21.5s, dev = 2.3s //tensorflow/python/data/kernel_tests:padded_batch_test PASSED in 39.8s Stats over 2 runs: max = 39.8s, min = 31.5s, avg = 35.7s, dev = 4.1s //tensorflow/python/data/kernel_tests:repeat_test PASSED in 55.6s Stats over 2 runs: max = 55.6s, min = 47.9s, avg = 51.8s, dev = 3.9s //tensorflow/python/data/kernel_tests:window_test PASSED in 56.5s Stats over 2 runs: max = 56.5s, min = 33.6s, avg = 45.1s, dev = 11.5s //tensorflow/python/kernel_tests/array_ops:scatter_nd_ops_test_cpu PASSED in 16.0s Stats over 2 runs: max = 16.0s, min = 15.1s, avg = 15.5s, dev = 0.4s //tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu PASSED in 23.0s Stats over 2 runs: max = 23.0s, min = 19.1s, avg = 21.1s, dev = 2.0s //tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu PASSED in 15.1s Stats over 2 runs: max = 15.1s, min = 13.2s, avg = 14.1s, dev = 0.9s //tensorflow/python/kernel_tests/nn_ops:atrous_conv2d_test_cpu PASSED in 29.2s Stats over 2 runs: max = 29.2s, min = 20.7s, avg = 25.0s, dev = 4.2s //tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu PASSED in 103.4s Stats over 2 runs: max = 103.4s, min = 35.3s, avg = 69.3s, dev = 34.0s //tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 168.5s Stats over 2 runs: max = 168.5s, min = 8.7s, avg = 88.6s, dev = 79.9s //tensorflow/compiler/tests:spacetobatch_op_test_cpu PASSED in 11.9s Stats over 3 runs: max = 11.9s, min = 11.1s, avg = 11.4s, dev = 0.3s //tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test PASSED in 13.7s Stats over 3 runs: max = 13.7s, min = 12.3s, avg = 13.2s, dev = 0.6s //tensorflow/compiler/xla/tests:triangular_solve_test_cpu PASSED in 72.2s Stats over 3 runs: max = 72.2s, min = 70.3s, avg = 71.2s, dev = 0.8s //tensorflow/core/data/service:thread_safe_buffer_test PASSED in 0.2s Stats over 3 runs: max = 0.2s, min = 0.2s, avg = 0.2s, dev = 0.0s //tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test PASSED in 18.7s Stats over 3 runs: max = 18.7s, min = 13.7s, avg = 16.4s, dev = 2.1s //tensorflow/python/data/kernel_tests:unique_test PASSED in 15.3s Stats over 3 runs: max = 15.3s, min = 13.2s, avg = 14.0s, dev = 1.0s //tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu PASSED in 51.8s Stats over 3 runs: max = 51.8s, min = 30.6s, avg = 38.5s, dev = 9.5s //tensorflow/python/kernel_tests/array_ops:weights_broadcast_test PASSED in 9.7s Stats over 3 runs: max = 9.7s, min = 9.2s, avg = 9.4s, dev = 0.2s //tensorflow/python/kernel_tests/distributions:util_test_cpu PASSED in 19.9s Stats over 3 runs: max = 19.9s, min = 17.0s, avg = 18.6s, dev = 1.2s //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 728.3s Stats over 3 runs: max = 728.3s, min = 7.9s, avg = 248.5s, dev = 339.3s //tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu PASSED in 23.7s Stats over 3 runs: max = 23.7s, min = 18.8s, avg = 20.5s, dev = 2.3s //tensorflow/compiler/xla/tests:dynamic_ops_test_cpu PASSED in 14.5s Stats over 4 runs: max = 14.5s, min = 13.0s, avg = 13.8s, dev = 0.7s //tensorflow/core/kernels:example_parsing_ops_test PASSED in 1.3s Stats over 4 runs: max = 1.3s, min = 0.8s, avg = 1.0s, dev = 0.2s //tensorflow/python:nn_batchnorm_test_cpu PASSED in 21.9s Stats over 4 runs: max = 21.9s, min = 16.4s, avg = 18.8s, dev = 2.0s //tensorflow/python:nn_fused_batchnorm_d9m_test_cpu PASSED in 15.8s Stats over 4 runs: max = 15.8s, min = 15.1s, avg = 15.5s, dev = 0.3s //tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 47.8s Stats over 4 runs: max = 47.8s, min = 19.6s, avg = 34.7s, dev = 10.6s //tensorflow/python/data/experimental/kernel_tests:map_and_batch_test PASSED in 33.5s Stats over 4 runs: max = 33.5s, min = 22.9s, avg = 25.7s, dev = 4.5s //tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 33.0s Stats over 4 runs: max = 33.0s, min = 13.9s, avg = 23.5s, dev = 9.1s //tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test PASSED in 19.8s Stats over 4 runs: max = 19.8s, min = 9.2s, avg = 13.2s, dev = 4.2s //tensorflow/python/data/experimental/kernel_tests:sql_dataset_test PASSED in 88.2s Stats over 4 runs: max = 88.2s, min = 79.0s, avg = 82.5s, dev = 3.4s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 9.5s Stats over 4 runs: max = 9.5s, min = 7.4s, avg = 8.5s, dev = 1.0s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_test PASSED in 60.5s Stats over 4 runs: max = 60.5s, min = 28.4s, avg = 45.0s, dev = 14.6s //tensorflow/python/data/kernel_tests:batch_test PASSED in 35.5s Stats over 4 runs: max = 35.5s, min = 27.4s, avg = 30.3s, dev = 3.1s //tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test PASSED in 24.7s Stats over 4 runs: max = 24.7s, min = 9.5s, avg = 16.3s, dev = 6.6s //tensorflow/python/data/kernel_tests:from_generator_test PASSED in 36.7s Stats over 4 runs: max = 36.7s, min = 21.3s, avg = 27.7s, dev = 6.0s //tensorflow/python/data/kernel_tests:group_by_window_test PASSED in 34.0s Stats over 4 runs: max = 34.0s, min = 11.0s, avg = 20.8s, dev = 10.0s //tensorflow/python/data/kernel_tests:ragged_batch_test PASSED in 17.9s Stats over 4 runs: max = 17.9s, min = 16.2s, avg = 17.0s, dev = 0.7s //tensorflow/python/data/kernel_tests:skip_test PASSED in 21.2s Stats over 4 runs: max = 21.2s, min = 15.4s, avg = 18.3s, dev = 2.5s //tensorflow/python/data/kernel_tests:take_test PASSED in 33.6s Stats over 4 runs: max = 33.6s, min = 30.1s, avg = 32.0s, dev = 1.6s //tensorflow/python/data/kernel_tests:take_while_test PASSED in 37.3s Stats over 4 runs: max = 37.3s, min = 34.4s, avg = 35.9s, dev = 1.2s //tensorflow/python/data/kernel_tests:text_line_dataset_test PASSED in 23.7s Stats over 4 runs: max = 23.7s, min = 14.7s, avg = 19.1s, dev = 3.8s //tensorflow/python/data/kernel_tests:zip_test PASSED in 12.3s Stats over 4 runs: max = 12.3s, min = 10.9s, avg = 11.4s, dev = 0.6s //tensorflow/python/debug/lib:dumping_callback_test_cpu PASSED in 14.2s Stats over 4 runs: max = 14.2s, min = 13.8s, avg = 14.0s, dev = 0.1s //tensorflow/python/distribute:cross_device_ops_test_2gpu PASSED in 26.3s Stats over 4 runs: max = 26.3s, min = 18.5s, avg = 22.3s, dev = 3.1s //tensorflow/python/distribute:cross_device_ops_test_cpu PASSED in 38.3s Stats over 4 runs: max = 38.3s, min = 24.9s, avg = 30.9s, dev = 5.0s //tensorflow/python/framework:convert_to_constants_test PASSED in 28.4s Stats over 4 runs: max = 28.4s, min = 22.5s, avg = 24.7s, dev = 2.3s //tensorflow/python/kernel_tests:collective_ops_test_2gpu PASSED in 34.1s Stats over 4 runs: max = 34.1s, min = 32.7s, avg = 33.3s, dev = 0.6s //tensorflow/python/kernel_tests:collective_ops_test_cpu PASSED in 40.8s Stats over 4 runs: max = 40.8s, min = 39.5s, avg = 40.3s, dev = 0.5s //tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 13.8s Stats over 4 runs: max = 13.8s, min = 12.3s, avg = 13.0s, dev = 0.7s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 83.7s Stats over 4 runs: max = 83.7s, min = 28.5s, avg = 54.8s, dev = 24.3s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 35.6s Stats over 4 runs: max = 35.6s, min = 11.7s, avg = 21.0s, dev = 9.5s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 121.7s Stats over 4 runs: max = 121.7s, min = 24.7s, avg = 61.5s, dev = 37.7s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 35.7s Stats over 4 runs: max = 35.7s, min = 28.2s, avg = 30.2s, dev = 3.2s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 112.0s Stats over 4 runs: max = 112.0s, min = 7.4s, avg = 50.0s, dev = 44.7s //tensorflow/python/kernel_tests/signal:window_ops_test_cpu PASSED in 21.3s Stats over 4 runs: max = 21.3s, min = 19.5s, avg = 20.0s, dev = 0.8s //tensorflow/python/ops/ragged:ragged_gather_op_test PASSED in 74.4s Stats over 4 runs: max = 74.4s, min = 19.3s, avg = 46.6s, dev = 19.5s //tensorflow/python/ops/ragged:ragged_getitem_test PASSED in 59.4s Stats over 4 runs: max = 59.4s, min = 55.2s, avg = 57.6s, dev = 1.6s //tensorflow/compiler/tests:async_comp_test_cpu PASSED in 6.5s Stats over 5 runs: max = 6.5s, min = 3.9s, avg = 5.6s, dev = 1.0s //tensorflow/compiler/tests:conv3d_test_cpu PASSED in 16.3s Stats over 5 runs: max = 16.3s, min = 7.4s, avg = 11.5s, dev = 3.6s //tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test PASSED in 19.1s Stats over 5 runs: max = 19.1s, min = 7.6s, avg = 12.4s, dev = 4.9s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu PASSED in 18.2s Stats over 5 runs: max = 18.2s, min = 10.0s, avg = 13.2s, dev = 3.0s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test PASSED in 22.4s Stats over 5 runs: max = 22.4s, min = 9.4s, avg = 14.9s, dev = 4.8s //tensorflow/compiler/tests:fused_batchnorm_test_cpu PASSED in 8.1s Stats over 5 runs: max = 8.1s, min = 7.3s, avg = 7.7s, dev = 0.3s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 7.8s Stats over 5 runs: max = 7.8s, min = 7.3s, avg = 7.5s, dev = 0.2s //tensorflow/compiler/tests:image_ops_jit_compile_test_cpu PASSED in 8.9s Stats over 5 runs: max = 8.9s, min = 7.3s, avg = 7.9s, dev = 0.5s //tensorflow/compiler/tests:reduce_ops_test_cpu PASSED in 12.9s Stats over 5 runs: max = 12.9s, min = 10.0s, avg = 11.9s, dev = 1.0s //tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test PASSED in 12.0s Stats over 5 runs: max = 12.0s, min = 9.3s, avg = 10.5s, dev = 0.9s //tensorflow/compiler/tests:repeat_op_test_cpu PASSED in 8.7s Stats over 5 runs: max = 8.7s, min = 7.2s, avg = 7.6s, dev = 0.6s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 10.6s Stats over 5 runs: max = 10.6s, min = 6.6s, avg = 7.7s, dev = 1.5s //tensorflow/compiler/tests:special_math_test_cpu PASSED in 157.4s Stats over 5 runs: max = 157.4s, min = 23.8s, avg = 70.6s, dev = 46.9s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 148.3s Stats over 5 runs: max = 148.3s, min = 15.1s, avg = 63.9s, dev = 45.5s //tensorflow/compiler/xla/client/lib:self_adjoint_eig_test_cpu PASSED in 37.4s Stats over 5 runs: max = 37.4s, min = 18.7s, avg = 29.0s, dev = 7.9s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 5.5s Stats over 5 runs: max = 5.5s, min = 4.2s, avg = 4.5s, dev = 0.5s //tensorflow/dtensor/python/tests:layout_propagation_test_cpu PASSED in 18.7s Stats over 5 runs: max = 18.7s, min = 16.9s, avg = 17.7s, dev = 0.6s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 11.8s Stats over 5 runs: max = 11.8s, min = 9.1s, avg = 10.5s, dev = 0.9s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 14.4s Stats over 5 runs: max = 14.4s, min = 11.2s, avg = 13.1s, dev = 1.1s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 25.9s Stats over 5 runs: max = 25.9s, min = 19.6s, avg = 21.5s, dev = 2.3s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 15.5s Stats over 5 runs: max = 15.5s, min = 13.2s, avg = 14.3s, dev = 1.0s //tensorflow/python/distribute:vars_test_2gpu PASSED in 16.6s Stats over 5 runs: max = 16.6s, min = 13.2s, avg = 15.0s, dev = 1.2s //tensorflow/python/distribute:vars_test_cpu PASSED in 16.5s Stats over 5 runs: max = 16.5s, min = 13.3s, avg = 14.8s, dev = 1.1s //tensorflow/python/eager:device_placement_test_cpu PASSED in 11.7s Stats over 5 runs: max = 11.7s, min = 7.7s, avg = 10.1s, dev = 1.3s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 184.1s Stats over 5 runs: max = 184.1s, min = 17.8s, avg = 67.9s, dev = 59.5s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 15.4s Stats over 5 runs: max = 15.4s, min = 10.5s, avg = 12.5s, dev = 1.9s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 105.3s Stats over 5 runs: max = 105.3s, min = 40.2s, avg = 60.4s, dev = 23.4s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 31.1s Stats over 5 runs: max = 31.1s, min = 25.5s, avg = 28.3s, dev = 1.8s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 39.5s Stats over 5 runs: max = 39.5s, min = 37.0s, avg = 37.8s, dev = 0.9s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 34.8s Stats over 5 runs: max = 34.8s, min = 31.8s, avg = 33.4s, dev = 1.2s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 34.5s Stats over 5 runs: max = 34.5s, min = 31.0s, avg = 32.8s, dev = 1.5s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 25.6s Stats over 5 runs: max = 25.6s, min = 23.3s, avg = 24.5s, dev = 0.9s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 34.3s Stats over 5 runs: max = 34.3s, min = 29.9s, avg = 32.3s, dev = 1.7s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 32.6s Stats over 5 runs: max = 32.6s, min = 28.1s, avg = 30.0s, dev = 1.7s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 24.1s Stats over 5 runs: max = 24.1s, min = 20.6s, avg = 23.1s, dev = 1.2s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 17.9s Stats over 5 runs: max = 17.9s, min = 9.0s, avg = 13.3s, dev = 2.9s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 78.4s Stats over 5 runs: max = 78.4s, min = 76.9s, avg = 77.7s, dev = 0.6s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 10.0s Stats over 5 runs: max = 10.0s, min = 8.3s, avg = 8.7s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 15.6s Stats over 5 runs: max = 15.6s, min = 13.2s, avg = 14.3s, dev = 0.8s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 22.3s Stats over 5 runs: max = 22.3s, min = 8.5s, avg = 13.3s, dev = 4.7s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 17.0s Stats over 5 runs: max = 17.0s, min = 7.4s, avg = 9.7s, dev = 3.7s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 25.0s Stats over 5 runs: max = 25.0s, min = 7.6s, avg = 12.3s, dev = 6.4s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 93.4s Stats over 5 runs: max = 93.4s, min = 45.4s, avg = 65.0s, dev = 17.7s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 21.3s Stats over 6 runs: max = 21.3s, min = 13.2s, avg = 18.5s, dev = 2.6s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 33.6s Stats over 6 runs: max = 33.6s, min = 20.8s, avg = 28.6s, dev = 4.1s //tensorflow/python:accumulate_n_benchmark_cpu PASSED in 10.0s Stats over 6 runs: max = 10.0s, min = 8.9s, avg = 9.4s, dev = 0.4s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 33.2s Stats over 6 runs: max = 33.2s, min = 7.7s, avg = 19.3s, dev = 11.4s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 55.6s Stats over 6 runs: max = 55.6s, min = 8.4s, avg = 18.7s, dev = 16.6s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 48.8s Stats over 6 runs: max = 48.8s, min = 22.5s, avg = 34.0s, dev = 8.3s //tensorflow/python/kernel_tests/nn_ops:conv_ops_test_cpu FAILED in 3 out of 6 in 31.0s Stats over 6 runs: max = 31.0s, min = 14.7s, avg = 24.6s, dev = 6.0s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu/shard_3_of_4/test.log /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu/shard_3_of_4/test_attempts/attempt_1.log /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/kernel_tests/nn_ops/conv_ops_test_cpu/shard_3_of_4/test_attempts/attempt_2.log //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 16.3s Stats over 7 runs: max = 16.3s, min = 10.0s, avg = 11.6s, dev = 2.1s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 60.0s Stats over 8 runs: max = 60.0s, min = 4.6s, avg = 22.2s, dev = 18.5s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 109.0s Stats over 8 runs: max = 109.0s, min = 6.8s, avg = 41.5s, dev = 35.6s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 39.8s Stats over 8 runs: max = 39.8s, min = 9.4s, avg = 21.1s, dev = 12.4s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 42.8s Stats over 8 runs: max = 42.8s, min = 13.1s, avg = 27.2s, dev = 10.6s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 38.8s Stats over 8 runs: max = 38.8s, min = 6.5s, avg = 22.2s, dev = 13.3s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 37.1s Stats over 8 runs: max = 37.1s, min = 8.5s, avg = 17.3s, dev = 10.2s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 30.8s Stats over 8 runs: max = 30.8s, min = 7.0s, avg = 15.7s, dev = 8.9s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 23.5s Stats over 8 runs: max = 23.5s, min = 5.3s, avg = 12.7s, dev = 6.1s //tensorflow/python/data/kernel_tests:filter_test PASSED in 18.3s Stats over 8 runs: max = 18.3s, min = 10.1s, avg = 14.5s, dev = 2.8s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 31.0s Stats over 8 runs: max = 31.0s, min = 23.3s, avg = 26.7s, dev = 2.9s //tensorflow/python/data/kernel_tests:shard_test PASSED in 24.0s Stats over 8 runs: max = 24.0s, min = 18.2s, avg = 21.3s, dev = 2.2s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 76.5s Stats over 8 runs: max = 76.5s, min = 33.2s, avg = 41.2s, dev = 13.9s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 33.1s Stats over 8 runs: max = 33.1s, min = 17.3s, avg = 25.0s, dev = 4.4s //tensorflow/python/distribute/failure_handling:failure_handler_test PASSED in 87.1s Stats over 8 runs: max = 87.1s, min = 33.6s, avg = 58.8s, dev = 15.8s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test PASSED in 86.4s Stats over 8 runs: max = 86.4s, min = 13.7s, avg = 36.0s, dev = 28.5s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 62.7s Stats over 8 runs: max = 62.7s, min = 41.7s, avg = 52.2s, dev = 6.6s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 83.2s Stats over 8 runs: max = 83.2s, min = 59.2s, avg = 67.9s, dev = 7.2s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 51.6s Stats over 8 runs: max = 51.6s, min = 31.7s, avg = 39.9s, dev = 6.6s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 60.9s Stats over 8 runs: max = 60.9s, min = 8.0s, avg = 17.1s, dev = 17.1s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 7.2s Stats over 8 runs: max = 7.2s, min = 5.1s, avg = 6.0s, dev = 0.7s //tensorflow/python/kernel_tests/signal:fft_ops_test_cpu PASSED in 20.3s Stats over 8 runs: max = 20.3s, min = 7.4s, avg = 12.8s, dev = 5.0s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 51.1s Stats over 8 runs: max = 51.1s, min = 27.3s, avg = 34.5s, dev = 8.0s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 28.9s Stats over 8 runs: max = 28.9s, min = 12.8s, avg = 17.6s, dev = 4.9s //tensorflow/compiler/tests:bincount_op_test_cpu PASSED in 8.2s Stats over 10 runs: max = 8.2s, min = 3.9s, avg = 5.5s, dev = 1.3s //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 13.6s Stats over 10 runs: max = 13.6s, min = 7.4s, avg = 10.9s, dev = 1.7s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 9.5s Stats over 10 runs: max = 9.5s, min = 7.8s, avg = 8.6s, dev = 0.5s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 20.3s Stats over 10 runs: max = 20.3s, min = 14.0s, avg = 17.3s, dev = 2.1s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 35.2s Stats over 10 runs: max = 35.2s, min = 20.9s, avg = 28.1s, dev = 4.1s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 82.2s Stats over 10 runs: max = 82.2s, min = 43.4s, avg = 63.6s, dev = 12.3s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 87.0s Stats over 10 runs: max = 87.0s, min = 44.1s, avg = 65.1s, dev = 14.9s //tensorflow/compiler/xla/client/lib:svd_test_cpu PASSED in 98.9s Stats over 10 runs: max = 98.9s, min = 11.7s, avg = 37.8s, dev = 32.2s //tensorflow/compiler/xla/client/lib:tridiagonal_test_cpu PASSED in 20.2s Stats over 10 runs: max = 20.2s, min = 9.2s, avg = 11.0s, dev = 3.1s //tensorflow/compiler/xla/service/cpu:cpu_runtime_test PASSED in 16.0s Stats over 10 runs: max = 16.0s, min = 1.4s, avg = 10.4s, dev = 4.6s //tensorflow/python:special_math_ops_test_cpu PASSED in 54.9s Stats over 10 runs: max = 54.9s, min = 4.7s, avg = 14.6s, dev = 14.3s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 15.5s Stats over 10 runs: max = 15.5s, min = 3.0s, avg = 9.4s, dev = 3.4s //tensorflow/python/distribute:input_lib_test_2gpu PASSED in 31.8s Stats over 10 runs: max = 31.8s, min = 26.3s, avg = 28.7s, dev = 1.7s //tensorflow/python/distribute:input_lib_test_cpu PASSED in 43.4s Stats over 10 runs: max = 43.4s, min = 31.3s, avg = 35.6s, dev = 3.4s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 22.3s Stats over 10 runs: max = 22.3s, min = 8.3s, avg = 16.0s, dev = 4.8s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 20.7s Stats over 10 runs: max = 20.7s, min = 9.0s, avg = 14.5s, dev = 4.2s //tensorflow/python/framework:config_vgpu_test_2gpu PASSED in 7.5s Stats over 10 runs: max = 7.5s, min = 4.1s, avg = 6.2s, dev = 1.1s //tensorflow/python/framework:config_vgpu_test_cpu PASSED in 6.6s Stats over 10 runs: max = 6.6s, min = 4.4s, avg = 5.6s, dev = 0.8s //tensorflow/python/framework:function_test_cpu PASSED in 58.8s Stats over 10 runs: max = 58.8s, min = 7.2s, avg = 13.8s, dev = 15.2s //tensorflow/python/grappler:cluster_test_cpu PASSED in 7.2s Stats over 10 runs: max = 7.2s, min = 6.5s, avg = 6.8s, dev = 0.2s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 14.6s Stats over 10 runs: max = 14.6s, min = 6.1s, avg = 10.2s, dev = 2.5s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 7.1s Stats over 10 runs: max = 7.1s, min = 5.2s, avg = 6.3s, dev = 0.6s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 11.5s Stats over 10 runs: max = 11.5s, min = 6.9s, avg = 9.3s, dev = 1.3s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 67.1s Stats over 10 runs: max = 67.1s, min = 61.3s, avg = 64.2s, dev = 1.9s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 134.8s Stats over 10 runs: max = 134.8s, min = 6.0s, avg = 20.1s, dev = 38.3s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 54.7s Stats over 10 runs: max = 54.7s, min = 9.4s, avg = 27.0s, dev = 12.9s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 34.9s Stats over 10 runs: max = 34.9s, min = 5.3s, avg = 17.5s, dev = 11.1s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu PASSED in 33.6s Stats over 10 runs: max = 33.6s, min = 7.8s, avg = 14.5s, dev = 9.3s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 12.4s Stats over 10 runs: max = 12.4s, min = 5.6s, avg = 8.7s, dev = 2.6s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 16.1s Stats over 10 runs: max = 16.1s, min = 14.6s, avg = 15.2s, dev = 0.4s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 108.4s Stats over 10 runs: max = 108.4s, min = 21.8s, avg = 61.3s, dev = 38.5s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 27.4s Stats over 10 runs: max = 27.4s, min = 18.6s, avg = 23.6s, dev = 2.6s //tensorflow/python/saved_model:load_test_cpu PASSED in 43.2s Stats over 10 runs: max = 43.2s, min = 23.5s, avg = 30.7s, dev = 5.7s //tensorflow/dtensor/python/tests:input_util_test FAILED in 3 out of 10 in 43.4s Stats over 10 runs: max = 43.4s, min = 21.6s, avg = 30.9s, dev = 6.2s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/dtensor/python/tests/input_util_test/shard_1_of_8/test.log /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/dtensor/python/tests/input_util_test/shard_1_of_8/test_attempts/attempt_1.log /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/dtensor/python/tests/input_util_test/shard_1_of_8/test_attempts/attempt_2.log //tensorflow/compiler/tests:fft_test_cpu PASSED in 28.5s Stats over 12 runs: max = 28.5s, min = 5.6s, avg = 15.0s, dev = 7.3s //tensorflow/compiler/xla/service:triangular_solve_expander_test PASSED in 5.0s Stats over 12 runs: max = 5.0s, min = 2.7s, avg = 3.7s, dev = 0.7s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 18.6s Stats over 12 runs: max = 18.6s, min = 4.5s, avg = 9.9s, dev = 4.3s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 15.2s Stats over 12 runs: max = 15.2s, min = 6.4s, avg = 10.1s, dev = 2.5s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 17.4s Stats over 12 runs: max = 17.4s, min = 5.1s, avg = 11.4s, dev = 3.4s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 225.0s Stats over 12 runs: max = 225.0s, min = 12.5s, avg = 50.5s, dev = 58.6s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 219.7s Stats over 12 runs: max = 219.7s, min = 9.4s, avg = 48.2s, dev = 57.6s //tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 16.5s Stats over 15 runs: max = 16.5s, min = 11.7s, avg = 14.3s, dev = 1.3s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 86.2s Stats over 15 runs: max = 86.2s, min = 63.5s, avg = 74.6s, dev = 6.9s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 52.6s Stats over 15 runs: max = 52.6s, min = 5.7s, avg = 13.1s, dev = 12.1s //tensorflow/compiler/tests:ftrl_test_cpu PASSED in 10.1s Stats over 16 runs: max = 10.1s, min = 5.4s, avg = 7.4s, dev = 1.4s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 19.3s Stats over 16 runs: max = 19.3s, min = 5.2s, avg = 9.8s, dev = 3.6s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 13.0s Stats over 16 runs: max = 13.0s, min = 3.1s, avg = 6.4s, dev = 2.5s //tensorflow/python:image_ops_test_cpu PASSED in 19.3s Stats over 16 runs: max = 19.3s, min = 8.5s, avg = 13.7s, dev = 2.8s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 12.6s Stats over 16 runs: max = 12.6s, min = 3.2s, avg = 8.3s, dev = 3.1s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 26.8s Stats over 16 runs: max = 26.8s, min = 5.9s, avg = 15.8s, dev = 6.9s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 35.4s Stats over 16 runs: max = 35.4s, min = 12.2s, avg = 18.9s, dev = 6.2s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 34.0s Stats over 16 runs: max = 34.0s, min = 6.4s, avg = 11.0s, dev = 6.2s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 12.5s Stats over 16 runs: max = 12.5s, min = 5.8s, avg = 8.3s, dev = 1.7s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 12.8s Stats over 16 runs: max = 12.8s, min = 8.3s, avg = 11.2s, dev = 1.2s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 12.9s Stats over 17 runs: max = 12.9s, min = 3.9s, avg = 6.6s, dev = 2.3s //tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu FLAKY, failed in 1 out of 17 in 65.1s Stats over 17 runs: max = 65.1s, min = 14.9s, avg = 23.4s, dev = 11.3s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu/shard_9_of_16/test_attempts/attempt_1.log //tensorflow/python/data/kernel_tests:map_test PASSED in 49.1s Stats over 19 runs: max = 49.1s, min = 16.1s, avg = 28.8s, dev = 9.3s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 7.8s Stats over 20 runs: max = 7.8s, min = 4.0s, avg = 5.5s, dev = 1.1s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 7.2s Stats over 20 runs: max = 7.2s, min = 3.5s, avg = 5.2s, dev = 1.4s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 17.9s Stats over 20 runs: max = 17.9s, min = 4.1s, avg = 8.3s, dev = 3.4s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 14.9s Stats over 20 runs: max = 14.9s, min = 3.8s, avg = 6.2s, dev = 2.4s //tensorflow/compiler/xla/tests:convolution_dimension_numbers_test_cpu PASSED in 14.7s Stats over 20 runs: max = 14.7s, min = 9.9s, avg = 12.4s, dev = 1.2s //tensorflow/compiler/xla/tests:dot_operation_single_threaded_runtime_test_cpu PASSED in 20.3s Stats over 20 runs: max = 20.3s, min = 16.5s, avg = 18.7s, dev = 0.9s //tensorflow/compiler/xla/tests:dot_operation_test_cpu PASSED in 19.6s Stats over 20 runs: max = 19.6s, min = 15.0s, avg = 16.4s, dev = 1.3s //tensorflow/compiler/xla/tests:prng_test_cpu PASSED in 14.4s Stats over 20 runs: max = 14.4s, min = 11.4s, avg = 12.8s, dev = 0.8s //tensorflow/compiler/xla/tests:reduce_window_test_cpu PASSED in 41.8s Stats over 20 runs: max = 41.8s, min = 12.4s, avg = 21.7s, dev = 9.7s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 29.7s Stats over 20 runs: max = 29.7s, min = 16.7s, avg = 20.7s, dev = 3.7s //tensorflow/python/kernel_tests:metrics_test PASSED in 51.3s Stats over 20 runs: max = 51.3s, min = 7.5s, avg = 21.5s, dev = 11.3s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 7.5s Stats over 20 runs: max = 7.5s, min = 3.1s, avg = 4.7s, dev = 1.3s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 17.9s Stats over 20 runs: max = 17.9s, min = 5.6s, avg = 8.8s, dev = 3.4s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 45.1s Stats over 20 runs: max = 45.1s, min = 6.4s, avg = 16.3s, dev = 12.9s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 187.8s Stats over 20 runs: max = 187.8s, min = 38.4s, avg = 87.6s, dev = 38.0s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 7.8s Stats over 20 runs: max = 7.8s, min = 3.8s, avg = 5.7s, dev = 1.2s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 17.0s Stats over 20 runs: max = 17.0s, min = 4.9s, avg = 9.6s, dev = 3.2s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 248.8s Stats over 20 runs: max = 248.8s, min = 33.2s, avg = 117.0s, dev = 64.1s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 28.7s Stats over 20 runs: max = 28.7s, min = 6.0s, avg = 13.0s, dev = 6.8s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 26.1s Stats over 20 runs: max = 26.1s, min = 7.0s, avg = 14.4s, dev = 7.1s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 17.3s Stats over 20 runs: max = 17.3s, min = 14.1s, avg = 15.2s, dev = 0.9s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 107.7s Stats over 20 runs: max = 107.7s, min = 7.9s, avg = 40.0s, dev = 29.9s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 22.8s Stats over 20 runs: max = 22.8s, min = 10.8s, avg = 15.5s, dev = 2.4s //tensorflow/python/data/experimental/kernel_tests/service:local_workers_test PASSED in 28.9s Stats over 24 runs: max = 28.9s, min = 8.1s, avg = 18.3s, dev = 4.8s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 29.7s Stats over 24 runs: max = 29.7s, min = 9.1s, avg = 17.9s, dev = 5.4s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 19.1s Stats over 24 runs: max = 19.1s, min = 3.5s, avg = 8.8s, dev = 3.9s //tensorflow/compiler/xla/tests:array_elementwise_ops_test_cpu PASSED in 23.2s Stats over 25 runs: max = 23.2s, min = 11.2s, avg = 14.8s, dev = 2.9s //tensorflow/compiler/xla/tests:select_and_scatter_test_cpu PASSED in 49.9s Stats over 25 runs: max = 49.9s, min = 11.3s, avg = 19.4s, dev = 10.2s //tensorflow/compiler/xla/tests:convolution_variants_test_cpu PASSED in 16.8s Stats over 30 runs: max = 16.8s, min = 15.4s, avg = 16.2s, dev = 0.4s //tensorflow/compiler/xla/tests:iota_test_cpu PASSED in 28.5s Stats over 30 runs: max = 28.5s, min = 17.7s, avg = 22.1s, dev = 2.3s //tensorflow/compiler/xla/tests:params_test_cpu PASSED in 11.3s Stats over 30 runs: max = 11.3s, min = 9.0s, avg = 10.0s, dev = 0.8s //tensorflow/compiler/xla/tests:reshape_test_cpu PASSED in 15.7s Stats over 30 runs: max = 15.7s, min = 11.9s, avg = 13.9s, dev = 1.2s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 39.7s Stats over 30 runs: max = 39.7s, min = 3.4s, avg = 13.2s, dev = 9.2s //tensorflow/compiler/xla/tests:reduce_test_cpu PASSED in 17.8s Stats over 31 runs: max = 17.8s, min = 11.0s, avg = 13.7s, dev = 1.8s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 26.1s Stats over 32 runs: max = 26.1s, min = 3.3s, avg = 7.7s, dev = 5.6s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 41.3s Stats over 32 runs: max = 41.3s, min = 3.3s, avg = 9.2s, dev = 7.9s //tensorflow/compiler/xla/tests:scalar_computations_test_cpu PASSED in 14.7s Stats over 32 runs: max = 14.7s, min = 11.1s, avg = 13.2s, dev = 1.2s //tensorflow/python/data/experimental/kernel_tests/service:auto_shard_test PASSED in 18.2s Stats over 32 runs: max = 18.2s, min = 5.0s, avg = 13.2s, dev = 3.5s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 16.7s Stats over 32 runs: max = 16.7s, min = 2.8s, avg = 7.1s, dev = 3.4s //tensorflow/compiler/xla/tests:batch_normalization_test_cpu PASSED in 16.7s Stats over 40 runs: max = 16.7s, min = 12.3s, avg = 14.9s, dev = 1.2s //tensorflow/compiler/xla/tests:bfloat16_test_cpu PASSED in 15.9s Stats over 40 runs: max = 15.9s, min = 13.7s, avg = 14.8s, dev = 0.7s //tensorflow/compiler/xla/tests:conv_depthwise_backprop_filter_test_cpu PASSED in 16.4s Stats over 40 runs: max = 16.4s, min = 12.1s, avg = 14.1s, dev = 1.0s //tensorflow/compiler/xla/tests:slice_test_cpu PASSED in 15.9s Stats over 40 runs: max = 15.9s, min = 10.2s, avg = 12.4s, dev = 1.1s //tensorflow/core/kernels:stochastic_cast_op_test PASSED in 1.7s Stats over 48 runs: max = 1.7s, min = 0.4s, avg = 0.7s, dev = 0.3s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 61.8s Stats over 50 runs: max = 61.8s, min = 21.9s, avg = 34.9s, dev = 8.8s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 50.7s Stats over 50 runs: max = 50.7s, min = 2.7s, avg = 13.6s, dev = 9.7s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 37.5s Stats over 50 runs: max = 37.5s, min = 2.8s, avg = 10.2s, dev = 7.7s //tensorflow/compiler/xla/tests:conv_depthwise_test_cpu PASSED in 23.7s Stats over 50 runs: max = 23.7s, min = 12.0s, avg = 15.8s, dev = 2.1s //tensorflow/compiler/xla/tests:convolution_test_1d_no_vmodule_cpu PASSED in 17.7s Stats over 50 runs: max = 17.7s, min = 15.0s, avg = 16.4s, dev = 0.7s //tensorflow/compiler/xla/tests:convolution_test_cpu PASSED in 20.2s Stats over 50 runs: max = 20.2s, min = 15.4s, avg = 17.6s, dev = 1.3s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 14.8s Stats over 50 runs: max = 14.8s, min = 5.7s, avg = 9.8s, dev = 2.6s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 7.5s Stats over 50 runs: max = 7.5s, min = 3.0s, avg = 4.5s, dev = 1.2s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 7.7s Stats over 50 runs: max = 7.7s, min = 3.2s, avg = 4.5s, dev = 1.2s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 30.8s Stats over 50 runs: max = 30.8s, min = 6.7s, avg = 15.3s, dev = 6.1s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 13.5s Stats over 50 runs: max = 13.5s, min = 3.5s, avg = 5.3s, dev = 1.8s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 12.6s Stats over 50 runs: max = 12.6s, min = 3.1s, avg = 5.4s, dev = 2.4s Executed 3747 out of 3747 tests: 3745 tests pass and 2 fail locally. There were tests whose specified size is too big. Use the --test_verbose_timeout_warnings command line option to see which ones these are.