==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10): 2023-03-21 05:48:18.086043: 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 3.11.2: /usr/local/bin/python3 [ RUN ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: 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. W0321 05:48:20.664786 281473632662400 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/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: 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. [ SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:20.669302 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:20.669787 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] 2023-03-21 05:48:20.785208: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:361] MLIR V1 optimization pass is not enabled 2023-03-21 05:48:20.795628: E ./tensorflow/core/graph/mkl_graph_util.h:182] oneDNN BFloat16 support are only on platforms with AVX512. Falling back to default implementation if present. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.15s I0321 05:48:20.818493 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.15s [ OK ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds [ FAILED ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.52s I0321 05:48:21.338021 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.52s [ RUN ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:21.339063 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:21.339687 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0321 05:48:21.340101 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:21.351746 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:21.352649 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] I0321 05:48:21.353076 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.35s I0321 05:48:21.707380 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.35s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:21.708507 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:21.709064 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:21.709606 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:21.709962 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:21.721336 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:21.722293 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:21.722668 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s I0321 05:48:21.747296 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:21.748299 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:21.748859 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:21.749395 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] I0321 05:48:21.749751 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.03s I0321 05:48:21.777289 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] I0321 05:48:21.778124 281473632662400 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.32s I0321 05:48:22.096996 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.32s [ OK ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testDepthwiseMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s I0321 05:48:22.113752 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s [ OK ] PoolingTest.testDepthwiseMaxPoolingWithArgmax [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:22.114748 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0321 05:48:22.115307 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0321 05:48:22.115849 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] I0321 05:48:22.116218 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.33s I0321 05:48:22.447685 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.33s [ OK ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:22.448733 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:22.449310 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:22.449856 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:22.450379 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0321 05:48:22.450730 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0321 05:48:22.460016 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0321 05:48:22.460722 281473632662400 pooling_ops_test.py:247] Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.21s I0321 05:48:22.666859 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.21s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:22.667874 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:22.668437 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:22.668970 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:22.669323 281473632662400 pooling_ops_test.py:247] Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.11s I0321 05:48:22.782335 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.11s [ OK ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:22.783305 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:22.783871 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:22.784238 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:22.794243 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0321 05:48:22.795004 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0321 05:48:22.795562 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:22.796101 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0321 05:48:22.796667 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:22.797020 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.24s I0321 05:48:23.037235 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.24s [ OK ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.038248 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.038811 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.039348 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s I0321 05:48:23.039830 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.040354 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.040877 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.041398 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolFwd_maxpool4 INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s I0321 05:48:23.041785 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s [ OK ] PoolingTest.testMaxPoolFwd_maxpool4 [ RUN ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.1s I0321 05:48:23.142118 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.1s [ OK ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.146211 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.149045 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.151644 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s I0321 05:48:23.154190 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] I0321 05:48:23.154702 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.09s I0321 05:48:23.247868 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.09s [ OK ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.248914 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.249470 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.250001 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s I0321 05:48:23.250470 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.250991 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.251511 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.252029 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:23.252372 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.26s I0321 05:48:23.517254 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.26s [ OK ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:23.518270 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0321 05:48:23.518817 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0321 05:48:23.519350 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:23.519694 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.36s I0321 05:48:23.882341 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.36s [ OK ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.883360 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.883910 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.884440 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0321 05:48:23.884796 281473632662400 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.05s I0321 05:48:23.936901 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.05s [ OK ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.937999 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.938549 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:23.939078 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:23.939429 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.03s I0321 05:48:23.967310 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0321 05:48:23.968345 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:23.968895 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0321 05:48:23.969426 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:23.969775 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.32s I0321 05:48:24.287324 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.32s [ OK ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:24.288451 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:24.289022 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:24.289553 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] I0321 05:48:24.289900 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.05s I0321 05:48:24.341200 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.05s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:24.342266 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:24.342816 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:24.343344 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:24.343866 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:24.344382 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] I0321 05:48:24.344722 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:24.353976 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:24.354843 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:24.355208 281473632662400 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:24.365255 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0321 05:48:24.366031 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0321 05:48:24.366619 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:24.367161 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.02s I0321 05:48:24.389580 281473632662400 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.02s [ OK ] PoolingTest.testMaxPoolingWithArgmax ====================================================================== FAIL: testAvgPoolGradOutputMemoryOutOfBounds (__main__.PoolingTest) PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds ---------------------------------------------------------------------- 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/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py", line 2337, in testAvgPoolGradOutputMemoryOutOfBounds with self.assertRaisesRegex( AssertionError: InvalidArgumentError not raised ---------------------------------------------------------------------- Ran 96 tests in 3.726s FAILED (failures=1, skipped=65) ================================================================================ ==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10): 2023-03-21 05:48:27.078823: 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 3.11.2: /usr/local/bin/python3 [ RUN ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: 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. W0321 05:48:30.245577 281472929067904 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/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: 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. [ SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s I0321 05:48:30.254788 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s [ RUN ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:30.255373 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] 2023-03-21 05:48:30.289982: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:361] MLIR V1 optimization pass is not enabled 2023-03-21 05:48:30.301828: E ./tensorflow/core/graph/mkl_graph_util.h:182] oneDNN BFloat16 support are only on platforms with AVX512. Falling back to default implementation if present. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.07s I0321 05:48:30.328038 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.07s [ OK ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds [ FAILED ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.1s I0321 05:48:30.433041 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.1s [ RUN ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.434058 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.434683 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0321 05:48:30.435101 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.03s I0321 05:48:30.467399 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.468518 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] I0321 05:48:30.468961 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.03s I0321 05:48:30.502668 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.503763 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.504324 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.504869 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:30.505225 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:30.516249 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.517130 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:30.517493 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.03s I0321 05:48:30.547321 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.548357 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.548910 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.549442 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] I0321 05:48:30.549800 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0321 05:48:30.560873 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] I0321 05:48:30.561616 281472929067904 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.05s I0321 05:48:30.607021 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.05s [ OK ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testDepthwiseMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s I0321 05:48:30.623904 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s [ OK ] PoolingTest.testDepthwiseMaxPoolingWithArgmax [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:30.624900 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0321 05:48:30.625454 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0321 05:48:30.625999 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] I0321 05:48:30.646523 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0321 05:48:30.659086 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.659999 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.660553 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.661100 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.661624 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0321 05:48:30.661972 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.03s I0321 05:48:30.689078 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0321 05:48:30.689863 281472929067904 pooling_ops_test.py:247] Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.07s I0321 05:48:30.756883 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.07s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.758005 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.758571 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.759105 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:30.759458 281472929067904 pooling_ops_test.py:247] Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.03s I0321 05:48:30.786836 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.03s [ OK ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.787853 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.788408 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:30.788779 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.09s I0321 05:48:30.877326 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.09s [ OK ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0321 05:48:30.878360 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0321 05:48:30.878956 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:30.879499 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0321 05:48:30.880041 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:30.880392 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.03s I0321 05:48:30.907819 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.908873 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.909429 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.909963 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s I0321 05:48:30.910446 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.910970 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.911492 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.912013 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolFwd_maxpool4 INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s I0321 05:48:30.912400 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s [ OK ] PoolingTest.testMaxPoolFwd_maxpool4 [ RUN ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.06s I0321 05:48:30.973609 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.06s [ OK ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.977695 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.980492 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:30.983042 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s I0321 05:48:30.985560 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] I0321 05:48:30.986069 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.19s I0321 05:48:31.177290 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.19s [ OK ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.178368 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.178920 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.179456 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s I0321 05:48:31.179924 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.180446 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.180966 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.181480 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:31.181824 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0321 05:48:31.192252 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:31.193077 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0321 05:48:31.193619 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0321 05:48:31.194152 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:31.194495 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.25s I0321 05:48:31.447292 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.25s [ OK ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.448349 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.448901 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.449432 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0321 05:48:31.449793 281472929067904 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s I0321 05:48:31.462169 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s [ OK ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.462995 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.463538 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.464068 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:31.464416 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.02s I0321 05:48:31.487318 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0321 05:48:31.488333 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:31.488893 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0321 05:48:31.489428 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:31.489778 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.14s I0321 05:48:31.632341 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.14s [ OK ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.633399 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.633945 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.634469 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] I0321 05:48:31.634817 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.03s I0321 05:48:31.667266 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.668330 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.668891 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.669424 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.669946 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:31.670461 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] I0321 05:48:31.670804 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.06s I0321 05:48:31.730565 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.06s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:31.731588 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:31.731963 281472929067904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:31.741179 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0321 05:48:31.741950 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0321 05:48:31.742522 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:31.743062 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.02s I0321 05:48:31.767206 281472929067904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.02s [ OK ] PoolingTest.testMaxPoolingWithArgmax ====================================================================== FAIL: testAvgPoolGradOutputMemoryOutOfBounds (__main__.PoolingTest) PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds ---------------------------------------------------------------------- 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/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py", line 2337, in testAvgPoolGradOutputMemoryOutOfBounds with self.assertRaisesRegex( AssertionError: InvalidArgumentError not raised ---------------------------------------------------------------------- Ran 96 tests in 1.523s FAILED (failures=1, skipped=65) ================================================================================ ==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10): 2023-03-21 05:48:33.972773: 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 3.11.2: /usr/local/bin/python3 [ RUN ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: 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. W0321 05:48:36.855795 281473010660224 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/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py:225: 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. [ SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:36.860380 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:36.860886 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] 2023-03-21 05:48:37.016552: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:361] MLIR V1 optimization pass is not enabled 2023-03-21 05:48:37.067488: E ./tensorflow/core/graph/mkl_graph_util.h:182] oneDNN BFloat16 support are only on platforms with AVX512. Falling back to default implementation if present. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.21s I0321 05:48:37.071346 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.21s [ OK ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds [ FAILED ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.16s I0321 05:48:37.227915 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.16s [ RUN ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.228942 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.229557 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0321 05:48:37.229969 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:37.240450 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.241320 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] I0321 05:48:37.241746 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [2, 2, 2, 2] 16 [1, 2, 1, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0321 05:48:37.253321 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.254333 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.254893 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.255431 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:37.255787 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 8, 8, 8] 512 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.06s I0321 05:48:37.319854 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.06s [ OK ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.320907 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:37.321281 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.03s I0321 05:48:37.350315 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.03s [ OK ] PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.351240 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.351790 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.352323 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] I0321 05:48:37.352685 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 1, 1, 10] 10 [1, 1, 1, 2] [1, 1, 1, 2] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s I0321 05:48:37.377312 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] I0321 05:48:37.378131 281473010660224 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 6] 24 [1, 1, 1, 3] [1, 1, 1, 3] INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.07s I0321 05:48:37.446928 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.07s [ OK ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testDepthwiseMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.04s I0321 05:48:37.484783 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.04s [ OK ] PoolingTest.testDepthwiseMaxPoolingWithArgmax [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.485821 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.486420 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.486966 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] I0321 05:48:37.487318 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.05s I0321 05:48:37.539994 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.05s [ OK ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.541003 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.541550 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.542082 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.542597 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0321 05:48:37.542944 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0321 05:48:37.552721 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] I0321 05:48:37.553329 281473010660224 pooling_ops_test.py:247] Running NHWC test. True [1, 4, 4, 1] 16 [1, 1, 1, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s I0321 05:48:37.566154 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s [ OK ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.566988 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.567538 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.568067 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:37.568417 281473010660224 pooling_ops_test.py:247] Running NHWC test. True [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s I0321 05:48:37.580039 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s [ OK ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.580885 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.581431 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:37.581790 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:37.590577 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0321 05:48:37.591316 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.591860 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.592394 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.592921 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:37.593271 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0321 05:48:37.601740 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.602537 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.603085 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.603617 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s I0321 05:48:37.604094 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.604615 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.605134 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.605654 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolFwd_maxpool4 INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s I0321 05:48:37.606035 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s [ OK ] PoolingTest.testMaxPoolFwd_maxpool4 [ RUN ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.15s I0321 05:48:37.757722 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.15s [ OK ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.761881 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.764479 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.03s I0321 05:48:37.793305 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.03s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s I0321 05:48:37.796402 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s [ OK ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] I0321 05:48:37.796930 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 7, 7, 1] 49 [1, 2, 2, 1] [1, 3, 3, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s I0321 05:48:37.811067 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.811988 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.812539 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.813074 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s I0321 05:48:37.813543 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.814065 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.814586 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.815099 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:37.815440 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 6, 6, 1] 36 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0321 05:48:37.825192 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.826009 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.826574 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.827106 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:37.827449 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 3, 3] 18 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s I0321 05:48:37.839998 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.840924 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.841466 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.841992 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) INFO:tensorflow:Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] I0321 05:48:37.842349 281473010660224 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 1] 4 [1, 1, 2, 1] [1, 1, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s I0321 05:48:37.854528 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s [ OK ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.855484 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.856027 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.856584 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:37.856935 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 4] 64 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:37.869109 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.870101 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.870651 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.871184 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] I0321 05:48:37.871533 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 [1, 2, 2, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s I0321 05:48:37.889527 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolValidPadding0 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.890589 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.891133 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.891658 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] I0321 05:48:37.892007 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 1, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s I0321 05:48:37.907854 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.908872 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.909425 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.909960 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.910484 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0321 05:48:37.911001 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] I0321 05:48:37.911345 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 [1, 2, 2, 1] [1, 2, 1, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:37.921808 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.922755 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] I0321 05:48:37.923129 281473010660224 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 [1, 3, 3, 1] [1, 2, 2, 1] INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s I0321 05:48:37.933460 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s [ OK ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0321 05:48:37.934298 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.934872 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0321 05:48:37.935412 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ RUN ] PoolingTest.testMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.02s I0321 05:48:37.958765 281473010660224 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.02s [ OK ] PoolingTest.testMaxPoolingWithArgmax ====================================================================== FAIL: testAvgPoolGradOutputMemoryOutOfBounds (__main__.PoolingTest) PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds ---------------------------------------------------------------------- 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/pooling_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test.py", line 2337, in testAvgPoolGradOutputMemoryOutOfBounds with self.assertRaisesRegex( AssertionError: InvalidArgumentError not raised ---------------------------------------------------------------------- Ran 96 tests in 1.104s FAILED (failures=1, skipped=65) ================================================================================ ==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 1 of 8): 2023-03-21 06:04:04.040340: 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 3.11.2: /usr/local/bin/python3 [ RUN ] DTensorDatasetTest.testForInIterationEager I0321 06:04:10.860603 281473861055360 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:10.860878 281473861055360 mesh_util.py:36] Number of global CPU devices: 16 I0321 06:04:10.861043 281473861055360 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0321 06:04:10.861666 281473861055360 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0321 06:04:10.861871 281473861055360 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'] 2023-03-21 06:04:11.299997: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:11.466997: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:11.527581: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:11.581211: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:11.633634: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:11.676629: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:11.677397: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:11.766856: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:11.767679: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:11.831071: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:11.831815: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:11.888059: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:11.888814: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:11.946472: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:11.947244: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.004666: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.005398: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.194894: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.195649: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.253172: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.253967: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.312131: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.312879: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.370513: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.371234: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.428767: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.429525: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.486010: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.486835: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.558683: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.559497: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.615642: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.616607: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.672629: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.673411: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.745434: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:12.746263: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:13.138261: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:13] (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}}]] 2023-03-21 06:04:13.138558: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:3] (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}}]] 2023-03-21 06:04:13.139427: E tensorflow/dtensor/cc/dtensor_device.cc:2040] Error executing IteratorGetNext {{function_node IteratorGetNext__func_2403913861143323666_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): 2.42s I0321 06:04:13.278416 281473861055360 test_util.py:2467] time(__main__.DTensorDatasetTest.testForInIterationEager): 2.42s [ RUN ] DTensorDatasetTest.testIterOnBatchedDatasetGraph I0321 06:04:13.279903 281473861055360 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:13.280127 281473861055360 mesh_util.py:36] Number of global CPU devices: 16 I0321 06:04:13.280312 281473861055360 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0321 06:04:13.280787 281473861055360 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0321 06:04:13.280916 281473861055360 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'] 2023-03-21 06:04:13.567379: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:13.645238: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:13.762033: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:13.826067: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:13.881992: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:13.882935: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:13.948415: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:13.949315: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.079814: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.080788: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.171747: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.172714: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.239884: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.240770: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.310459: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.311404: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.380865: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.381849: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.450254: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.451254: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.537816: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.538783: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.669049: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.670017: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.737867: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.738856: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.873070: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:14.874053: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:15.043508: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:15.044488: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:15.344369: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:15.345313: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:15.653499: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:15.654484: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:15.985823: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:15.986879: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:16.410357: I tensorflow/dtensor/cc/dtensor_device.cc:1486] DTensor cache key lookup missed for __inference_train_619. DTensor is (re-)computing its SPMD transformation. 2023-03-21 06:04:16.450591: I tensorflow/dtensor/cc/dtensor_device.cc:1555] DTensor cache key lookup missed for __inference_train_619. DTensor is (re-)computing its ExecutionFunctions. 2023-03-21 06:04:16.790824: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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): 4.37s I0321 06:04:17.652729 281473861055360 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 4.37s [ OK ] DTensorDatasetTest.testIterOnBatchedDatasetGraph [ RUN ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) I0321 06:04:17.654458 281473861055360 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:17.654636 281473861055360 mesh_util.py:36] Number of global CPU devices: 16 I0321 06:04:17.654778 281473861055360 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0321 06:04:17.655245 281473861055360 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0321 06:04:17.655373 281473861055360 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'] 2023-03-21 06:04:17.999034: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:18.067876: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.068845: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.160542: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.161480: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.232735: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.233698: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.309528: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.310560: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.438705: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.439712: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.517979: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.518951: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.588063: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.589015: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.672922: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.673942: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.743908: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.744896: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.843635: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.844595: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.914190: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.915185: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.998524: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:18.999496: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:19.184833: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:19.185770: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:19.255385: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:19.256333: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:19.332861: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:19.333850: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:19.419205: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:19.420150: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:19.633841: I tensorflow/dtensor/cc/dtensor_device.cc:1486] DTensor cache key lookup missed for __inference_train_854. DTensor is (re-)computing its SPMD transformation. 2023-03-21 06:04:19.692059: I tensorflow/dtensor/cc/dtensor_device.cc:1555] DTensor cache key lookup missed for __inference_train_854. DTensor is (re-)computing its ExecutionFunctions. 2023-03-21 06:04:19.995977: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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=True)): 2.75s I0321 06:04:20.399628 281473861055360 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 2.75s [ OK ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) [ RUN ] DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) I0321 06:04:20.401452 281473861055360 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:20.401660 281473861055360 mesh_util.py:36] Number of global CPU devices: 16 I0321 06:04:20.401802 281473861055360 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0321 06:04:20.402292 281473861055360 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0321 06:04:20.402421 281473861055360 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'] 2023-03-21 06:04:20.723182: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:20.785544: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:20.786755: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:20.882704: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:20.883613: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:20.955078: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:20.956062: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.027920: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.028907: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.099668: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.100697: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.258295: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.259301: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.394564: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.395557: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.533592: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.534603: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.818790: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.819744: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.886401: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.887364: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.958241: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:21.959224: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:22.030759: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:22.031761: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:22.111966: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:22.112963: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:22.183338: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:22.184291: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:22.272359: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:22.273284: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:22.372283: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:22.373211: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:22.454450: I tensorflow/dtensor/cc/dtensor_device.cc:1486] DTensor cache key lookup missed for __inference_train_1093. DTensor is (re-)computing its SPMD transformation. 2023-03-21 06:04:22.462542: I tensorflow/dtensor/cc/dtensor_device.cc:1555] DTensor cache key lookup missed for __inference_train_1093. DTensor is (re-)computing its ExecutionFunctions. 2023-03-21 06:04:22.559969: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 2.8s I0321 06:04:23.200969 281473861055360 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 2.8s [ OK ] DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) [ RUN ] DTensorIteratorSpecTest.testFromTensorList I0321 06:04:23.202671 281473861055360 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:23.202848 281473861055360 mesh_util.py:36] Number of global CPU devices: 8 I0321 06:04:23.202985 281473861055360 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7] I0321 06:04:23.203336 281473861055360 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7] I0321 06:04:23.203458 281473861055360 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'] 2023-03-21 06:04:23.532311: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:23.581190: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:23.581993: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:23.680125: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:23.680902: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:23.809126: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:23.809935: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:23.896128: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:23.896961: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:23.983897: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:23.984710: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:24.048553: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:24.049385: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:24.113999: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:24.114822: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:24.218494: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:24.219327: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] INFO:tensorflow:time(__main__.DTensorIteratorSpecTest.testFromTensorList): 1.4s I0321 06:04:24.597697 281473861055360 test_util.py:2467] time(__main__.DTensorIteratorSpecTest.testFromTensorList): 1.4s [ OK ] DTensorIteratorSpecTest.testFromTensorList [ RUN ] InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4]) I0321 06:04:24.599483 281473861055360 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:24.599670 281473861055360 mesh_util.py:36] Number of global CPU devices: 16 I0321 06:04:24.599810 281473861055360 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3] [ 4 5] [ 6 7]] [[ 8 9] [10 11] [12 13] [14 15]]] I0321 06:04:24.600244 281473861055360 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0321 06:04:24.600371 281473861055360 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__.InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4])): 0.0s I0321 06:04:24.601032 281473861055360 test_util.py:2467] time(__main__.InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4])): 0.0s [ OK ] InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4]) ====================================================================== 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 183, in testForInIteration d_output, d_iters = train_fn(d_iterator) ^^^^^^^^^^^^^^^^^^^^ 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 172, in train for img in iterator: 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/input_util.py", line 147, in __next__ host_elem = self._next_internal() ^^^^^^^^^^^^^^^^^^^^^ 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/python/data/ops/iterator_ops.py", line 776, in _next_internal ret = gen_dataset_ops.iterator_get_next( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 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/python/ops/gen_dataset_ops.py", line 3028, in iterator_get_next _ops.raise_from_not_ok_status(e, name) 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/python/framework/ops.py", line 6872, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tensorflow.python.framework.errors_impl.CancelledError: {{function_node AddV2__func_15274460192122303081_13230101824050524202_2386512056599665587_2}} Function was cancelled before it was started Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors. [Op:IteratorGetNext] name: ---------------------------------------------------------------------- Ran 6 tests in 13.742s FAILED (errors=1) ================================================================================ ==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 1 of 8): 2023-03-21 06:04:27.199569: 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 3.11.2: /usr/local/bin/python3 [ RUN ] DTensorDatasetTest.testForInIterationEager I0321 06:04:29.172896 281473365930880 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:29.173112 281473365930880 mesh_util.py:36] Number of global CPU devices: 16 I0321 06:04:29.173269 281473365930880 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0321 06:04:29.173807 281473365930880 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0321 06:04:29.173999 281473365930880 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'] 2023-03-21 06:04:29.528739: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:29.844123: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:29.899146: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:29.949653: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:29.998992: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:30.044134: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.044982: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.215816: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.216803: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.316998: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.317731: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.453145: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.453932: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.545702: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.546525: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.611225: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.612010: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.730219: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.730982: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.790967: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.791744: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.849775: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.850503: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.927564: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:30.928313: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.027405: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.028157: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.089747: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.090554: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.187488: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.188315: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.256230: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.257043: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.414031: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.414862: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.510050: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:31.517172: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:32.059508: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:6] (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}}]] 2023-03-21 06:04:32.061156: E tensorflow/dtensor/cc/dtensor_device.cc:1994] Encountered error while executing function: CopyToMesh__func_17395698046966757236_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_17365207633107319283_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. 2023-03-21 06:04:32.068334: E tensorflow/dtensor/cc/dtensor_device.cc:2040] Error executing CopyToMesh {{function_node IteratorGetNext__func_17365207633107319283_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): 3.24s I0321 06:04:32.409750 281473365930880 test_util.py:2467] time(__main__.DTensorDatasetTest.testForInIterationEager): 3.24s [ RUN ] DTensorDatasetTest.testIterOnBatchedDatasetGraph I0321 06:04:32.411149 281473365930880 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:32.411314 281473365930880 mesh_util.py:36] Number of global CPU devices: 16 I0321 06:04:32.411499 281473365930880 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0321 06:04:32.411944 281473365930880 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0321 06:04:32.412071 281473365930880 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'] 2023-03-21 06:04:33.071112: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:33.140664: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:33.206105: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:33.273412: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:33.415012: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:33.415974: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:33.500468: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:33.501392: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:33.600523: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:33.601467: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:33.712902: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:33.713945: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:33.786335: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:33.787269: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:33.942913: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:33.943831: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.057018: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.058022: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.143151: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.144123: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.305730: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.306723: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.412106: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.413107: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.495549: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.496600: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.578440: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.579425: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.670331: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.671285: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.765750: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.766726: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.835478: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.836517: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.937749: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:34.938822: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:35.122614: I tensorflow/dtensor/cc/dtensor_device.cc:1486] DTensor cache key lookup missed for __inference_train_636. DTensor is (re-)computing its SPMD transformation. 2023-03-21 06:04:35.130024: I tensorflow/dtensor/cc/dtensor_device.cc:1555] DTensor cache key lookup missed for __inference_train_636. DTensor is (re-)computing its ExecutionFunctions. 2023-03-21 06:04:35.183461: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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): 3.43s I0321 06:04:35.844897 281473365930880 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 3.43s [ OK ] DTensorDatasetTest.testIterOnBatchedDatasetGraph [ RUN ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) I0321 06:04:35.846596 281473365930880 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:35.846787 281473365930880 mesh_util.py:36] Number of global CPU devices: 16 I0321 06:04:35.846926 281473365930880 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0321 06:04:35.847379 281473365930880 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0321 06:04:35.847505 281473365930880 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'] 2023-03-21 06:04:36.150410: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:36.209215: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.210146: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.300531: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.301520: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.375368: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.376490: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.466016: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.467001: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.563100: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.564076: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.632594: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.633547: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.703009: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.703977: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.775990: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.776983: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.933259: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:36.934198: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.076772: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.077714: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.234049: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.234998: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.353996: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.354943: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.430440: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.431387: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.497266: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.498230: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.582197: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.583124: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.648589: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.649528: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:37.779610: I tensorflow/dtensor/cc/dtensor_device.cc:1486] DTensor cache key lookup missed for __inference_train_871. DTensor is (re-)computing its SPMD transformation. 2023-03-21 06:04:37.786886: I tensorflow/dtensor/cc/dtensor_device.cc:1555] DTensor cache key lookup missed for __inference_train_871. DTensor is (re-)computing its ExecutionFunctions. 2023-03-21 06:04:37.948652: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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=True)): 2.68s I0321 06:04:38.528137 281473365930880 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 2.68s [ OK ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) [ RUN ] DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) I0321 06:04:38.529774 281473365930880 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:38.529907 281473365930880 mesh_util.py:36] Number of global CPU devices: 16 I0321 06:04:38.530041 281473365930880 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0321 06:04:38.530496 281473365930880 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0321 06:04:38.530619 281473365930880 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'] 2023-03-21 06:04:38.828715: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:38.886666: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:38.887587: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.007240: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.008237: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.079204: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.080199: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.151581: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.152528: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.272302: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.273249: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.375581: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.376851: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.441944: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.442899: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.518182: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.519129: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.608928: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.609875: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.675564: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.676526: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.770706: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.771638: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.840229: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.841164: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.911548: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.912486: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.985538: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:39.986541: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:40.087897: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:40.088828: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:40.181143: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:40.182093: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:40.259393: I tensorflow/dtensor/cc/dtensor_device.cc:1486] DTensor cache key lookup missed for __inference_train_1110. DTensor is (re-)computing its SPMD transformation. 2023-03-21 06:04:40.267724: I tensorflow/dtensor/cc/dtensor_device.cc:1555] DTensor cache key lookup missed for __inference_train_1110. DTensor is (re-)computing its ExecutionFunctions. 2023-03-21 06:04:40.355116: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 2.31s I0321 06:04:40.843321 281473365930880 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 2.31s [ OK ] DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) [ RUN ] DTensorIteratorSpecTest.testFromTensorList I0321 06:04:40.844942 281473365930880 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:40.845075 281473365930880 mesh_util.py:36] Number of global CPU devices: 8 I0321 06:04:40.845203 281473365930880 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7] I0321 06:04:40.845502 281473365930880 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7] I0321 06:04:40.845620 281473365930880 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'] 2023-03-21 06:04:41.040508: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-21 06:04:41.084043: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:41.084982: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:41.145619: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:41.146471: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:41.230570: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:41.231402: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:41.301296: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:41.302124: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:41.399382: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:41.400157: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:41.498899: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:41.499747: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:41.623340: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:41.624199: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] 2023-03-21 06:04:41.683498: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-21 06:04:41.684305: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_16' with dtype int32 and shape [1,4] [[{{node Placeholder/_16}}]] INFO:tensorflow:time(__main__.DTensorIteratorSpecTest.testFromTensorList): 1.05s I0321 06:04:41.899301 281473365930880 test_util.py:2467] time(__main__.DTensorIteratorSpecTest.testFromTensorList): 1.05s [ OK ] DTensorIteratorSpecTest.testFromTensorList [ RUN ] InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4]) I0321 06:04:41.901473 281473365930880 mesh_util.py:35] This is client 0 of 1 clients I0321 06:04:41.901637 281473365930880 mesh_util.py:36] Number of global CPU devices: 16 I0321 06:04:41.901766 281473365930880 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3] [ 4 5] [ 6 7]] [[ 8 9] [10 11] [12 13] [14 15]]] I0321 06:04:41.902168 281473365930880 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0321 06:04:41.902295 281473365930880 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__.InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4])): 0.0s I0321 06:04:41.902967 281473365930880 test_util.py:2467] time(__main__.InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4])): 0.0s [ OK ] InputUtilHelpersTest.testShardCounts5 (mesh_dims=[('batch', 2), ('height', 4), ('width', 2)], layout_specs=['batch', 'width', 'height'], batch_dim='batch', counts=[1, 2, 4]) ====================================================================== 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 186, 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 299, 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/tests/test_util.py", line 299, in 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/python/framework/ops.py", line 1211, in numpy maybe_arr = self._numpy() # pylint: disable=protected-access ^^^^^^^^^^^^^ 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/python/framework/ops.py", line 1179, in _numpy raise core._status_to_exception(e) from None # pylint: disable=protected-access ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tensorflow.python.framework.errors_impl.CancelledError: {{function_node AddV2__func_2052788373350579802_13230101824050524202_2386512056599665587_2}} Function was cancelled before it was started ---------------------------------------------------------------------- Ran 6 tests in 12.732s FAILED (errors=1) ================================================================================ ==================== Test output for //tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test (shard 3 of 3): 2023-03-21 06:02:25.055216: 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 3.11.2: /usr/local/bin/python3 [ RUN ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_1_numlocalworkers_0_numremoteworkers_3 [ SKIPPED ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_1_numlocalworkers_0_numremoteworkers_3 [ RUN ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_1_numlocalworkers_1_numremoteworkers_3 [ SKIPPED ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_1_numlocalworkers_1_numremoteworkers_3 [ RUN ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_1_numlocalworkers_3_numremoteworkers_3 [ SKIPPED ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_1_numlocalworkers_3_numremoteworkers_3 [ RUN ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_2_numlocalworkers_0_numremoteworkers_3 INFO:tensorflow:Using local port 16164 I0321 06:02:36.627523 281473791914880 test_util.py:3799] Using local port 16164 2023-03-21 06:02:36.629471: I tensorflow/core/data/service/dispatcher_impl.cc:224] Attempting to restore dispatcher state from journal in /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/fd91873084ddb601b680d34430d222a60403zh7s/tmpsav95kmt/tf_data_dispatcher_journal 2023-03-21 06:02:36.629554: I tensorflow/core/data/service/dispatcher_impl.cc:231] No journal found. Starting dispatcher from new state. 2023-03-21 06:02:36.629866: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data DispatchServer running at 0.0.0.0:16164 INFO:tensorflow:Using local port 22869 I0321 06:02:36.633567 281473791914880 test_util.py:3799] Using local port 22869 2023-03-21 06:02:37.396090: 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`. 2023-03-21 06:02:37.774390: 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`. 2023-03-21 06:02:39.138957: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:16164 2023-03-21 06:02:39.139339: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:22869 INFO:tensorflow:Using local port 15007 I0321 06:02:39.140264 281473791914880 test_util.py:3799] Using local port 15007 2023-03-21 06:02:39.194603: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:16164 2023-03-21 06:02:39.194879: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:15007 INFO:tensorflow:Using local port 21008 I0321 06:02:39.195778 281473791914880 test_util.py:3799] Using local port 21008 2023-03-21 06:02:39.296945: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:16164 2023-03-21 06:02:39.297280: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:21008 2023-03-21 06:02:39.964573: I tensorflow/core/data/service/server_lib.cc:94] Shut down DispatchServer server running at port 16164 [ OK ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_2_numlocalworkers_0_numremoteworkers_3 [ RUN ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_2_numlocalworkers_1_numremoteworkers_3 INFO:tensorflow:Using local port 18863 I0321 06:02:39.967203 281473791914880 test_util.py:3799] Using local port 18863 2023-03-21 06:02:39.968738: I tensorflow/core/data/service/dispatcher_impl.cc:224] Attempting to restore dispatcher state from journal in /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/fd91873084ddb601b680d34430d222a60403zh7s/tmpt6u16bu4/tf_data_dispatcher_journal 2023-03-21 06:02:39.968830: I tensorflow/core/data/service/dispatcher_impl.cc:231] No journal found. Starting dispatcher from new state. 2023-03-21 06:02:39.969250: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data DispatchServer running at 0.0.0.0:18863 INFO:tensorflow:Using local port 18547 I0321 06:02:39.969639 281473791914880 test_util.py:3799] Using local port 18547 2023-03-21 06:02:39.988268: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:18863 2023-03-21 06:02:39.988586: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:18547 INFO:tensorflow:Using local port 22018 I0321 06:02:39.989174 281473791914880 test_util.py:3799] Using local port 22018 2023-03-21 06:02:40.027314: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:18863 2023-03-21 06:02:40.027652: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:22018 INFO:tensorflow:Using local port 23062 I0321 06:02:40.028813 281473791914880 test_util.py:3799] Using local port 23062 2023-03-21 06:02:40.057398: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:18863 2023-03-21 06:02:40.057982: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:23062 INFO:tensorflow:Using local port 24108 I0321 06:02:40.059076 281473791914880 test_util.py:3799] Using local port 24108 2023-03-21 06:02:40.076920: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:18863 2023-03-21 06:02:40.077421: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:24108 2023-03-21 06:02:40.608243: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 18547 2023-03-21 06:02:40.611472: I tensorflow/core/data/service/server_lib.cc:94] Shut down DispatchServer server running at port 18863 [ OK ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_2_numlocalworkers_1_numremoteworkers_3 [ RUN ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_2_numlocalworkers_3_numremoteworkers_3 INFO:tensorflow:Using local port 21723 I0321 06:02:40.714952 281473791914880 test_util.py:3799] Using local port 21723 2023-03-21 06:02:40.716035: I tensorflow/core/data/service/dispatcher_impl.cc:224] Attempting to restore dispatcher state from journal in /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/fd91873084ddb601b680d34430d222a60403zh7s/tmpd0wku1ko/tf_data_dispatcher_journal 2023-03-21 06:02:40.716159: I tensorflow/core/data/service/dispatcher_impl.cc:231] No journal found. Starting dispatcher from new state. 2023-03-21 06:02:40.716439: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data DispatchServer running at 0.0.0.0:21723 INFO:tensorflow:Using local port 19652 I0321 06:02:40.716788 281473791914880 test_util.py:3799] Using local port 19652 2023-03-21 06:02:40.720111: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:21723 2023-03-21 06:02:40.720437: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:19652 INFO:tensorflow:Using local port 21866 I0321 06:02:40.720926 281473791914880 test_util.py:3799] Using local port 21866 2023-03-21 06:02:40.723935: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:21723 2023-03-21 06:02:40.724238: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:21866 INFO:tensorflow:Using local port 17826 I0321 06:02:40.724717 281473791914880 test_util.py:3799] Using local port 17826 2023-03-21 06:02:40.727408: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:21723 2023-03-21 06:02:40.727640: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:17826 INFO:tensorflow:Using local port 18429 I0321 06:02:40.728201 281473791914880 test_util.py:3799] Using local port 18429 2023-03-21 06:02:40.760249: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:21723 2023-03-21 06:02:40.760751: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:18429 INFO:tensorflow:Using local port 19648 I0321 06:02:40.761925 281473791914880 test_util.py:3799] Using local port 19648 2023-03-21 06:02:40.793008: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:21723 2023-03-21 06:02:40.793434: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:19648 INFO:tensorflow:Using local port 16968 I0321 06:02:40.794610 281473791914880 test_util.py:3799] Using local port 16968 2023-03-21 06:02:40.828578: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:21723 2023-03-21 06:02:40.829103: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:16968 2023-03-21 06:02:41.759668: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 19652 2023-03-21 06:02:41.860508: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 21866 2023-03-21 06:02:41.961449: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 17826 2023-03-21 06:02:41.964803: I tensorflow/core/data/service/server_lib.cc:94] Shut down DispatchServer server running at port 21723 [ OK ] MultiProcessClusterTest.testCluster_test_mode_eager_tfapiversion_2_numlocalworkers_3_numremoteworkers_3 [ RUN ] MultiProcessClusterTest.testCluster_test_mode_graph_tfapiversion_1_numlocalworkers_0_numremoteworkers_3 [ SKIPPED ] MultiProcessClusterTest.testCluster_test_mode_graph_tfapiversion_1_numlocalworkers_0_numremoteworkers_3 [ RUN ] MultiProcessClusterTest.testCluster_test_mode_graph_tfapiversion_1_numlocalworkers_1_numremoteworkers_3 [ SKIPPED ] MultiProcessClusterTest.testCluster_test_mode_graph_tfapiversion_1_numlocalworkers_1_numremoteworkers_3 [ RUN ] MultiProcessClusterTest.testCluster_test_mode_graph_tfapiversion_1_numlocalworkers_3_numremoteworkers_3 [ SKIPPED ] MultiProcessClusterTest.testCluster_test_mode_graph_tfapiversion_1_numlocalworkers_3_numremoteworkers_3 [ RUN ] MultiProcessClusterTest.testCluster_test_mode_graph_tfapiversion_2_numlocalworkers_0_numremoteworkers_3 INFO:tensorflow:Using local port 18920 I0321 06:02:42.329591 281473791914880 test_util.py:3799] Using local port 18920 2023-03-21 06:02:42.330644: I tensorflow/core/data/service/dispatcher_impl.cc:224] Attempting to restore dispatcher state from journal in /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/fd91873084ddb601b680d34430d222a60403zh7s/tmpgvge8szq/tf_data_dispatcher_journal 2023-03-21 06:02:42.330730: I tensorflow/core/data/service/dispatcher_impl.cc:231] No journal found. Starting dispatcher from new state. 2023-03-21 06:02:42.330963: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data DispatchServer running at 0.0.0.0:18920 INFO:tensorflow:Using local port 15887 I0321 06:02:42.331329 281473791914880 test_util.py:3799] Using local port 15887 2023-03-21 06:02:42.478062: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:18920 2023-03-21 06:02:42.478428: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:15887 INFO:tensorflow:Using local port 20671 I0321 06:02:42.479568 281473791914880 test_util.py:3799] Using local port 20671 2023-03-21 06:02:42.669134: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:18920 2023-03-21 06:02:42.669511: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:20671 INFO:tensorflow:Using local port 20079 I0321 06:02:42.670603 281473791914880 test_util.py:3799] Using local port 20079 2023-03-21 06:02:42.719796: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:18920 2023-03-21 06:02:42.720180: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:20079 /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/data/ops/dataset_ops.py:468: UserWarning: To make it possible to preserve tf.data options across serialization boundaries, their implementation has moved to be part of the TensorFlow graph. As a consequence, the options value is in general no longer known at graph construction time. Invoking this method in graph mode retains the legacy behavior of the original implementation, but note that the returned value might not reflect the actual value of the options. warnings.warn("To make it possible to preserve tf.data options across " 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. W0321 06:02:42.767752 281473791914880 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. 2023-03-21 06:02:42.773828: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:361] MLIR V1 optimization pass is not enabled -- Test timed out at 2023-03-21 06:17:24 UTC -- Current thread 0x0000ffffb9617380 (most recent call first): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/client/session.py", line 1455 in _call_tf_sessionrun File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/client/session.py", line 1362 in _run_fn File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/client/session.py", line 1379 in _do_call File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/client/session.py", line 1372 in _do_run File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/client/session.py", line 1192 in _run File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/client/session.py", line 969 in run File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2064 in run File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2694 in evaluate File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/data/kernel_tests/test_base.py", line 229 in assertDatasetProduces File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.py", line 43 in testCluster File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 343 in execute_test_method File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 360 in decorated File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/absl_py/absl/testing/parameterized.py", line 314 in bound_param_test File "/usr/lib/python3.11/unittest/case.py", line 579 in _callTestMethod File "/usr/lib/python3.11/unittest/case.py", line 623 in run File "/usr/lib/python3.11/unittest/case.py", line 678 in __call__ File "/usr/lib/python3.11/unittest/suite.py", line 122 in run File "/usr/lib/python3.11/unittest/suite.py", line 84 in __call__ File "/usr/lib/python3.11/unittest/suite.py", line 122 in run File "/usr/lib/python3.11/unittest/suite.py", line 84 in __call__ File "/usr/lib/python3.11/unittest/runner.py", line 217 in run File "/usr/lib/python3.11/unittest/main.py", line 274 in runTests File "/usr/lib/python3.11/unittest/main.py", line 102 in __init__ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/absl_py/absl/testing/absltest.py", line 2537 in _run_and_get_tests_result File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/absl_py/absl/testing/absltest.py", line 2568 in run_tests File 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"/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/platform/benchmark.py", line 489 in benchmarks_main File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 62 in main File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/platform/test.py", line 56 in main File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/eager/test.py", line 25 in main File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 167 in test_main File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster.py", line 165 in test_main File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.runfiles/org_tensorflow/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test.py", line 50 in ================================================================================ //tensorflow/c:c_api_experimental_test PASSED in 31.6s //tensorflow/c:c_api_function_test PASSED in 31.4s //tensorflow/c:c_api_test_cpu PASSED in 35.5s //tensorflow/c:c_test PASSED in 30.1s //tensorflow/c:env_test_cpu PASSED in 31.9s //tensorflow/c:kernels_test_cpu PASSED in 41.6s //tensorflow/c:ops_test PASSED in 28.3s //tensorflow/c:while_loop_test PASSED in 30.7s //tensorflow/c/eager:c_api_cluster_test_cpu PASSED in 30.2s //tensorflow/c/eager:c_api_remote_function_test_cpu PASSED in 29.1s //tensorflow/c/eager:c_api_remote_test_cpu PASSED in 31.8s //tensorflow/c/eager:c_api_test_cpu PASSED in 36.2s //tensorflow/c/eager:custom_device_test PASSED in 31.6s //tensorflow/c/eager/parallel_device:parallel_device_lib_test PASSED in 32.0s //tensorflow/c/eager/parallel_device:parallel_device_remote_test PASSED in 32.9s //tensorflow/c/eager/parallel_device:parallel_device_test PASSED in 31.0s //tensorflow/c/experimental/filesystem/plugins/gcs:expiring_lru_cache_test PASSED in 0.7s //tensorflow/c/experimental/filesystem/plugins/gcs:ram_file_block_cache_test PASSED in 2.7s //tensorflow/c/experimental/grappler:grappler_test PASSED in 28.3s //tensorflow/c/experimental/ops/gen/common:case_format_test PASSED in 0.7s //tensorflow/c/experimental/ops/gen/cpp:cpp_generator_test PASSED in 0.5s //tensorflow/c/experimental/ops/gen/cpp/renderers:renderer_test PASSED in 0.5s //tensorflow/c/experimental/saved_model/core:constant_loading_test PASSED in 19.6s //tensorflow/c/experimental/saved_model/core:object_graph_traversal_test PASSED in 14.9s //tensorflow/c/experimental/saved_model/core:saved_variable_loading_test PASSED in 24.9s //tensorflow/c/experimental/saved_model/core:signature_flattening_test PASSED in 15.6s //tensorflow/c/experimental/saved_model/core:tf_concrete_function_loading_test PASSED in 16.3s //tensorflow/c/experimental/saved_model/core/ops:restore_ops_test PASSED in 12.9s //tensorflow/c/experimental/saved_model/core/ops:variable_ops_test PASSED in 15.8s //tensorflow/c/experimental/saved_model/internal:saved_model_api_test PASSED in 32.5s //tensorflow/c/experimental/stream_executor:stream_executor_test PASSED in 0.6s //tensorflow/c/kernels:bitcast_op_test PASSED in 1.0s //tensorflow/c/kernels:summary_op_benchmark_test PASSED in 1.0s //tensorflow/c/kernels:summary_op_test PASSED in 0.6s //tensorflow/c/kernels:tensor_shape_utils_test PASSED in 0.4s //tensorflow/cc:cc_op_gen_test PASSED in 0.7s //tensorflow/cc:client_client_session_test PASSED in 2.8s //tensorflow/cc:coordinator_test PASSED in 4.6s 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//tensorflow/compiler/tests:argminmax_test_cpu_mlir_bridge_test PASSED in 16.1s //tensorflow/compiler/tests:bucketize_op_test_cpu PASSED in 19.5s //tensorflow/compiler/tests:bucketize_op_test_cpu_mlir_bridge_test PASSED in 7.0s //tensorflow/compiler/tests:case_test_cpu PASSED in 7.5s //tensorflow/compiler/tests:cast_ops_test_cpu PASSED in 6.1s //tensorflow/compiler/tests:cast_ops_test_cpu_mlir_bridge_test PASSED in 6.6s //tensorflow/compiler/tests:categorical_op_test_cpu PASSED in 11.0s //tensorflow/compiler/tests:categorical_op_test_cpu_mlir_bridge_test PASSED in 10.7s //tensorflow/compiler/tests:cholesky_op_test_cpu PASSED in 17.3s //tensorflow/compiler/tests:cholesky_op_test_cpu_mlir_bridge_test PASSED in 21.9s //tensorflow/compiler/tests:clustering_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:clustering_test_cpu_mlir_bridge_test PASSED in 7.2s //tensorflow/compiler/tests:concat_ops_test_cpu PASSED in 7.8s //tensorflow/compiler/tests:concat_ops_test_cpu_mlir_bridge_test PASSED in 8.3s //tensorflow/compiler/tests:cond_test_cpu PASSED in 8.0s //tensorflow/compiler/tests:const_arg_test_cpu PASSED in 8.2s //tensorflow/compiler/tests:const_test_cpu PASSED in 7.7s //tensorflow/compiler/tests:data_format_ops_test_cpu PASSED in 10.7s //tensorflow/compiler/tests:data_format_ops_test_cpu_mlir_bridge_test PASSED in 23.1s //tensorflow/compiler/tests:dense_layer_test_cpu PASSED in 13.2s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu PASSED in 11.0s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu_mlir_bridge_test PASSED in 19.3s //tensorflow/compiler/tests:dynamic_stitch_test_cpu PASSED in 7.3s //tensorflow/compiler/tests:dynamic_stitch_test_cpu_mlir_bridge_test PASSED in 7.4s //tensorflow/compiler/tests:eager_test_cpu PASSED in 15.1s //tensorflow/compiler/tests:einsum_op_test_cpu PASSED in 8.6s //tensorflow/compiler/tests:einsum_op_test_cpu_mlir_bridge_test PASSED in 11.9s //tensorflow/compiler/tests:ensure_shape_op_test_cpu PASSED in 6.8s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu PASSED in 6.8s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu_mlir_bridge_test PASSED in 11.4s //tensorflow/compiler/tests:fake_quant_ops_test_cpu PASSED in 22.2s //tensorflow/compiler/tests:fake_quant_ops_test_cpu_mlir_bridge_test PASSED in 15.4s //tensorflow/compiler/tests:fifo_queue_test_cpu PASSED in 19.2s //tensorflow/compiler/tests:fifo_queue_test_cpu_mlir_bridge_test PASSED in 20.0s //tensorflow/compiler/tests:ftrl_ops_test_cpu PASSED in 16.7s //tensorflow/compiler/tests:ftrl_ops_test_cpu_mlir_bridge_test PASSED in 18.1s //tensorflow/compiler/tests:ftrl_test_cpu PASSED in 16.2s //tensorflow/compiler/tests:function_test_cpu PASSED in 15.0s //tensorflow/compiler/tests:function_test_cpu_mlir_bridge_test PASSED in 6.9s //tensorflow/compiler/tests:gather_nd_op_test_cpu PASSED in 9.9s //tensorflow/compiler/tests:gather_nd_op_test_cpu_mlir_bridge_test PASSED in 9.1s //tensorflow/compiler/tests:gather_test_cpu PASSED in 45.0s //tensorflow/compiler/tests:gather_test_cpu_mlir_bridge_test PASSED in 96.7s //tensorflow/compiler/tests:jit_test_cpu PASSED in 52.1s //tensorflow/compiler/tests:listdiff_op_test_cpu PASSED in 9.6s //tensorflow/compiler/tests:listdiff_op_test_cpu_mlir_bridge_test PASSED in 18.2s //tensorflow/compiler/tests:lrn_ops_test_cpu PASSED in 6.1s //tensorflow/compiler/tests:lrn_ops_test_cpu_mlir_bridge_test PASSED in 8.3s //tensorflow/compiler/tests:lstm_test_cpu PASSED in 30.6s //tensorflow/compiler/tests:manip_ops_test_cpu PASSED in 11.2s //tensorflow/compiler/tests:manip_ops_test_cpu_mlir_bridge_test PASSED in 11.0s //tensorflow/compiler/tests:matrix_band_part_test_cpu PASSED in 41.9s //tensorflow/compiler/tests:matrix_band_part_test_cpu_mlir_bridge_test PASSED in 50.4s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu PASSED in 20.9s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu_mlir_bridge_test PASSED in 32.1s //tensorflow/compiler/tests:matrix_solve_op_test_cpu PASSED in 9.7s //tensorflow/compiler/tests:matrix_solve_op_test_cpu_mlir_bridge_test PASSED in 7.7s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu PASSED in 25.2s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu_mlir_bridge_test PASSED in 47.7s //tensorflow/compiler/tests:momentum_test_cpu PASSED in 18.5s //tensorflow/compiler/tests:nary_ops_test_cpu PASSED in 7.8s //tensorflow/compiler/tests:nary_ops_test_cpu_mlir_bridge_test PASSED in 10.2s //tensorflow/compiler/tests:nullary_ops_test_cpu PASSED in 10.3s //tensorflow/compiler/tests:nullary_ops_test_cpu_mlir_bridge_test PASSED in 7.3s //tensorflow/compiler/tests:placeholder_test_cpu PASSED in 7.3s //tensorflow/compiler/tests:placeholder_test_cpu_mlir_bridge_test PASSED in 18.3s //tensorflow/compiler/tests:proximal_adagrad_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:proximal_gradient_descent_test_cpu PASSED in 8.5s //tensorflow/compiler/tests:quantized_ops_test_cpu PASSED in 8.1s //tensorflow/compiler/tests:reduce_window_test_cpu PASSED in 7.3s //tensorflow/compiler/tests:reduce_window_test_cpu_mlir_bridge_test PASSED in 6.9s //tensorflow/compiler/tests:reshape_op_test_cpu PASSED in 7.0s //tensorflow/compiler/tests:reshape_op_test_cpu_mlir_bridge_test PASSED in 12.2s //tensorflow/compiler/tests:reverse_ops_test_cpu PASSED in 9.9s //tensorflow/compiler/tests:reverse_ops_test_cpu_mlir_bridge_test PASSED in 12.4s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu PASSED in 8.3s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu_mlir_bridge_test PASSED in 29.1s //tensorflow/compiler/tests:risc_ops_test_cpu_mlir_bridge_test PASSED in 7.1s //tensorflow/compiler/tests:rmsprop_test_cpu PASSED in 13.6s //tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 41.8s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 23.2s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 8.6s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 8.9s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 23.3s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 28.1s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 16.7s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 17.0s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 16.0s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 21.1s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu PASSED in 8.0s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu_mlir_bridge_test PASSED in 10.9s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 6.5s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 7.9s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 15.6s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 14.4s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 11.6s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 14.3s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 7.3s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 24.3s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 16.2s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 8.7s //tensorflow/compiler/tests:while_test_cpu PASSED in 9.7s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 6.7s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 8.2s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 12.7s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 16.6s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 35.5s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 40.4s //tensorflow/compiler/tests:xla_test_test PASSED in 21.2s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 7.5s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.2s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 0.7s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 0.7s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 27.1s //tensorflow/compiler/tf2xla:graph_compiler_test PASSED in 6.3s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 0.5s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 12.9s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 2.1s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 0.7s //tensorflow/compiler/tf2xla:tf2xla_test PASSED in 17.5s //tensorflow/compiler/tf2xla:tf2xla_util_test PASSED in 1.4s //tensorflow/compiler/tf2xla:xla_compiler_test PASSED in 14.2s //tensorflow/compiler/tf2xla:xla_jit_compiled_cpu_function_test PASSED in 17.2s //tensorflow/compiler/tf2xla:xla_op_registry_test PASSED in 6.1s //tensorflow/compiler/tf2xla/kernels:rng_converter_utils_test PASSED in 1.4s //tensorflow/compiler/xla:array2d_test PASSED in 0.1s //tensorflow/compiler/xla:array3d_test PASSED in 0.2s //tensorflow/compiler/xla:array4d_test PASSED in 0.2s //tensorflow/compiler/xla:array_test PASSED in 0.5s //tensorflow/compiler/xla:bit_cast_test PASSED in 0.2s //tensorflow/compiler/xla:comparison_util_test PASSED in 1.5s //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 0.7s //tensorflow/compiler/xla:layout_test PASSED in 0.2s //tensorflow/compiler/xla:layout_util_test PASSED in 0.2s //tensorflow/compiler/xla:literal_test PASSED in 0.3s //tensorflow/compiler/xla:parse_flags_from_env_test PASSED in 0.4s //tensorflow/compiler/xla:permutation_util_test PASSED in 0.3s //tensorflow/compiler/xla:primitive_util_test PASSED in 0.1s //tensorflow/compiler/xla:refcounting_hash_map_test PASSED in 0.7s //tensorflow/compiler/xla:reference_util_test PASSED in 0.3s //tensorflow/compiler/xla:shape_test PASSED in 0.3s //tensorflow/compiler/xla:shape_tree_test PASSED in 0.1s //tensorflow/compiler/xla:shape_util_test PASSED in 1.9s //tensorflow/compiler/xla:status_macros_test PASSED in 0.3s //tensorflow/compiler/xla:text_literal_reader_test PASSED in 0.2s //tensorflow/compiler/xla:text_literal_writer_test PASSED in 0.1s //tensorflow/compiler/xla:types_test PASSED in 0.2s //tensorflow/compiler/xla:util_test PASSED in 0.3s //tensorflow/compiler/xla:window_util_test PASSED in 0.2s //tensorflow/compiler/xla/client:padding_test PASSED in 0.3s //tensorflow/compiler/xla/client:xla_builder_test PASSED in 1.4s //tensorflow/compiler/xla/client/lib:arithmetic_test_cpu PASSED in 8.6s //tensorflow/compiler/xla/client/lib:comparators_test_cpu PASSED in 8.8s //tensorflow/compiler/xla/client/lib:constants_test_cpu PASSED in 14.2s //tensorflow/compiler/xla/client/lib:logdet_test_cpu PASSED in 10.0s //tensorflow/compiler/xla/client/lib:math_test_cpu PASSED in 15.2s //tensorflow/compiler/xla/client/lib:matrix_test_cpu PASSED in 9.8s //tensorflow/compiler/xla/client/lib:pooling_test_cpu PASSED in 9.6s //tensorflow/compiler/xla/client/lib:qr_test_cpu PASSED in 11.3s //tensorflow/compiler/xla/client/lib:slicing_test_cpu PASSED in 9.9s //tensorflow/compiler/xla/client/lib:sorting_test_cpu PASSED in 9.3s //tensorflow/compiler/xla/examples/axpy:stablehlo_compile_test PASSED in 12.7s //tensorflow/compiler/xla/experimental/conv_emitter:conv_emitter_test PASSED in 1.9s //tensorflow/compiler/xla/hlo/evaluator:hlo_evaluator_test PASSED in 6.5s //tensorflow/compiler/xla/hlo/transforms:hlo_constant_splitter_test PASSED in 1.0s //tensorflow/compiler/xla/hlo/utils:hlo_live_range_test PASSED in 1.1s //tensorflow/compiler/xla/hlo/utils:hlo_matchers_test PASSED in 0.9s //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 0.7s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:collective_ops_to_cpu_runtime.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:fft.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:legalize_i1_vector_transfers.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:lmhlo_custom_call.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:lmhlo_infeed.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:remove_copies_to_out_params.mlir.test PASSED in 1.4s //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 0.8s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_memref_element_cast_to_llvm.mlir.test PASSED in 0.6s //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_hlo_trace.mlir.test PASSED in 0.9s //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 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_memset.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_case.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_custom_call.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_fft.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_cholesky.mlir.test PASSED in 1.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_conv.mlir.test PASSED in 0.5s //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 0.7s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_infeed.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_outfeed.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_send_recv.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_while.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:memref_get_global_to_arg.mlir.test PASSED in 0.7s //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 0.5s //tensorflow/compiler/xla/mlir/framework/tests:outline-with-xla-framework.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/framework/tests:xla-framework.mlir.test PASSED in 1.4s //tensorflow/compiler/xla/mlir/math/transforms/tests:math_optimization.mlir.test PASSED in 0.9s //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 0.7s //tensorflow/compiler/xla/mlir/runtime/ir/tests:ops_verify.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/runtime/ir/tests:testlib.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/runtime/transforms:calling_convention_test PASSED in 1.2s //tensorflow/compiler/xla/mlir/runtime/transforms:type_converter_test PASSED in 0.4s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:compilation_pipeline.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:convert_asserts.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:convert_custom_calls.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:export_functions.mlir.test PASSED in 1.9s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:ordinal_assignment.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:rt_to_llvm.mlir.test PASSED in 1.5s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:erase-op-without-results.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:inline-scf-while.mlir.test PASSED in 1.1s 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//tensorflow/compiler/xla/pjrt:tfrt_cpu_pjrt_client_test PASSED in 6.6s //tensorflow/compiler/xla/pjrt:tracked_device_buffer_test PASSED in 8.2s //tensorflow/compiler/xla/pjrt:tracked_tfrt_cpu_device_buffer_test PASSED in 0.3s //tensorflow/compiler/xla/pjrt:transpose_test PASSED in 47.9s //tensorflow/compiler/xla/pjrt/c:pjrt_c_api_cpu_test PASSED in 8.1s //tensorflow/compiler/xla/pjrt/c:pjrt_c_api_helpers_test PASSED in 0.2s //tensorflow/compiler/xla/pjrt/distributed:client_server_test PASSED in 42.2s //tensorflow/compiler/xla/pjrt/distributed:service_test PASSED in 9.8s //tensorflow/compiler/xla/pjrt/gpu:se_gpu_pjrt_client_test PASSED in 2.0s //tensorflow/compiler/xla/python:outfeed_receiver_test_cpu PASSED in 9.2s //tensorflow/compiler/xla/python/ifrt:array_test PASSED in 0.8s //tensorflow/compiler/xla/python/ifrt:array_test_no_impl PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:client_test_no_impl PASSED in 0.5s //tensorflow/compiler/xla/python/ifrt:executable_test_no_impl PASSED in 0.9s //tensorflow/compiler/xla/python/ifrt:future_test PASSED in 0.2s //tensorflow/compiler/xla/python/ifrt:index_domain_test PASSED in 0.4s //tensorflow/compiler/xla/python/ifrt:index_test PASSED in 1.4s //tensorflow/compiler/xla/python/ifrt:shape_test PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:sharding_test PASSED in 0.3s //tensorflow/compiler/xla/python/ifrt:tuple_test_no_impl PASSED in 1.2s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_array_impl_test_tfrt_cpu PASSED in 14.3s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_client_impl_test_tfrt_cpu PASSED in 7.0s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_executable_impl_test_tfrt_cpu PASSED in 8.3s //tensorflow/compiler/xla/python/pjrt_ifrt:pjrt_tuple_impl_test_tfrt_cpu PASSED in 8.3s //tensorflow/compiler/xla/python_api:xla_literal_test PASSED in 1.0s //tensorflow/compiler/xla/python_api:xla_shape_test PASSED in 0.7s //tensorflow/compiler/xla/rpc:grpc_client_test PASSED in 2.4s //tensorflow/compiler/xla/runtime:arguments_test PASSED in 0.3s //tensorflow/compiler/xla/runtime:async_runtime_test PASSED in 0.3s //tensorflow/compiler/xla/runtime:custom_call_test PASSED in 1.6s //tensorflow/compiler/xla/runtime:diagnostics_test PASSED in 0.1s //tensorflow/compiler/xla/runtime:executable_test PASSED in 1.5s //tensorflow/compiler/xla/runtime:ffi_test PASSED in 1.3s //tensorflow/compiler/xla/runtime:map_by_type_test PASSED in 0.4s //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 0.6s //tensorflow/compiler/xla/runtime:type_id_test PASSED in 0.1s //tensorflow/compiler/xla/service:algebraic_simplifier_overflow_test_cpu PASSED in 6.8s //tensorflow/compiler/xla/service:algebraic_simplifier_test PASSED in 10.9s //tensorflow/compiler/xla/service:all_gather_broadcast_reorder_test PASSED in 0.9s //tensorflow/compiler/xla/service:all_gather_combiner_test PASSED in 1.1s //tensorflow/compiler/xla/service:all_gather_decomposer_test PASSED in 0.9s //tensorflow/compiler/xla/service:all_reduce_combiner_test PASSED in 1.3s //tensorflow/compiler/xla/service:all_reduce_contiguous_test PASSED in 3.0s //tensorflow/compiler/xla/service:all_reduce_folder_test PASSED in 1.1s //tensorflow/compiler/xla/service:all_reduce_promotion_test PASSED in 2.3s //tensorflow/compiler/xla/service:all_reduce_reassociate_test PASSED in 1.2s //tensorflow/compiler/xla/service:all_reduce_simplifier_test PASSED in 1.1s //tensorflow/compiler/xla/service:ar_crs_combiner_test PASSED in 1.4s //tensorflow/compiler/xla/service:async_collective_creator_test PASSED in 1.3s //tensorflow/compiler/xla/service:async_op_canonicalizer_test PASSED in 1.3s //tensorflow/compiler/xla/service:batch_dot_simplification_test PASSED in 1.1s //tensorflow/compiler/xla/service:batchnorm_expander_test_cpu PASSED in 15.1s //tensorflow/compiler/xla/service:bfloat16_conversion_folding_test PASSED in 1.3s //tensorflow/compiler/xla/service:bfloat16_propagation_test PASSED in 1.5s //tensorflow/compiler/xla/service:bitcast_dtypes_expander_test PASSED in 1.3s //tensorflow/compiler/xla/service:broadcast_canonicalizer_test PASSED in 1.2s //tensorflow/compiler/xla/service:buffer_assignment_test PASSED in 9.9s //tensorflow/compiler/xla/service:call_graph_test PASSED in 1.2s //tensorflow/compiler/xla/service:call_inliner_test PASSED in 0.9s //tensorflow/compiler/xla/service:change_op_data_type_test PASSED in 1.9s //tensorflow/compiler/xla/service:collective_ops_utils_test PASSED in 0.4s //tensorflow/compiler/xla/service:collectives_schedule_linearizer_test PASSED in 1.4s //tensorflow/compiler/xla/service:compilation_environments_test PASSED in 0.2s //tensorflow/compiler/xla/service:conditional_canonicalizer_test PASSED in 1.1s //tensorflow/compiler/xla/service:conditional_code_motion_test PASSED in 1.9s //tensorflow/compiler/xla/service:conditional_simplifier_test PASSED in 1.2s //tensorflow/compiler/xla/service:conditional_to_select_test PASSED in 1.0s //tensorflow/compiler/xla/service:convert_mover_test PASSED in 1.3s //tensorflow/compiler/xla/service:convert_operand_folding_test PASSED in 1.5s //tensorflow/compiler/xla/service:convolution_4d_expander_test PASSED in 0.9s //tensorflow/compiler/xla/service:convolution_group_converter_test PASSED in 1.2s //tensorflow/compiler/xla/service:convolution_pred_expander_test PASSED in 1.2s //tensorflow/compiler/xla/service:copy_insertion_test PASSED in 1.5s //tensorflow/compiler/xla/service:custom_call_status_test PASSED in 0.4s //tensorflow/compiler/xla/service:defuser_test PASSED in 1.6s //tensorflow/compiler/xla/service:despecializer_test PASSED in 1.4s //tensorflow/compiler/xla/service:dfs_hlo_visitor_with_default_test PASSED in 1.2s //tensorflow/compiler/xla/service:dot_decomposer_test PASSED in 1.2s //tensorflow/compiler/xla/service:dot_merger_test PASSED in 1.4s //tensorflow/compiler/xla/service:dynamic_dimension_inference_test PASSED in 1.0s //tensorflow/compiler/xla/service:dynamic_dimension_simplifier_test PASSED in 2.0s //tensorflow/compiler/xla/service:dynamic_index_splitter_test PASSED in 1.1s //tensorflow/compiler/xla/service:dynamic_padder_test_cpu PASSED in 16.1s //tensorflow/compiler/xla/service:dynamic_parameter_binding_test PASSED in 1.0s //tensorflow/compiler/xla/service:dynamic_update_slice_test_cpu PASSED in 10.0s //tensorflow/compiler/xla/service:elemental_ir_emitter_test_cpu PASSED in 10.6s //tensorflow/compiler/xla/service:flatten_call_graph_test PASSED in 1.1s //tensorflow/compiler/xla/service:float_normalization_test PASSED in 1.1s //tensorflow/compiler/xla/service:fusion_node_indexing_evaluation_test PASSED in 1.7s //tensorflow/compiler/xla/service:gather_expander_test PASSED in 1.3s //tensorflow/compiler/xla/service:gather_simplifier_test PASSED in 1.1s //tensorflow/compiler/xla/service:heap_simulator_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_activation_analysis_test PASSED in 1.3s //tensorflow/compiler/xla/service:hlo_alias_analysis_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_casting_utils_test PASSED in 8.0s //tensorflow/compiler/xla/service:hlo_computation_deduplicator_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_computation_test PASSED in 2.2s //tensorflow/compiler/xla/service:hlo_constant_folding_test PASSED in 4.8s //tensorflow/compiler/xla/service:hlo_cost_analysis_test PASSED in 10.4s //tensorflow/compiler/xla/service:hlo_creation_utils_test PASSED in 4.0s //tensorflow/compiler/xla/service:hlo_cse_test PASSED in 10.0s //tensorflow/compiler/xla/service:hlo_dataflow_analysis_test PASSED in 3.2s //tensorflow/compiler/xla/service:hlo_dce_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_domain_test PASSED in 1.3s //tensorflow/compiler/xla/service:hlo_element_type_converter_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_execution_profile_test PASSED in 6.7s //tensorflow/compiler/xla/service:hlo_graph_dumper_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_input_output_alias_config_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_instruction_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_liveness_analysis_test PASSED in 1.4s //tensorflow/compiler/xla/service:hlo_memory_scheduler_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_module_dce_test PASSED in 1.8s //tensorflow/compiler/xla/service:hlo_module_metadata_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_module_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_opcode_test PASSED in 0.3s //tensorflow/compiler/xla/service:hlo_ordering_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_parser_test PASSED in 0.6s //tensorflow/compiler/xla/service:hlo_pass_pipeline_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_phi_graph_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_proto_util_test PASSED in 1.3s //tensorflow/compiler/xla/service:hlo_reachability_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_rematerialization_test PASSED in 1.6s //tensorflow/compiler/xla/service:hlo_rematerialization_test_utils_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_replication_analysis_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_schedule_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_sharding_test PASSED in 1.8s //tensorflow/compiler/xla/service:hlo_verifier_test PASSED in 1.8s //tensorflow/compiler/xla/service:indexed_array_analysis_test PASSED in 1.0s //tensorflow/compiler/xla/service:instruction_fusion_test PASSED in 5.5s //tensorflow/compiler/xla/service:latency_hiding_scheduler_test PASSED in 2.3s //tensorflow/compiler/xla/service:layout_assignment_test PASSED in 6.1s //tensorflow/compiler/xla/service:layout_normalization_test PASSED in 2.3s //tensorflow/compiler/xla/service:logistic_expander_test PASSED in 0.9s //tensorflow/compiler/xla/service:loop_schedule_linearizer_test PASSED in 0.8s //tensorflow/compiler/xla/service:map_inliner_test PASSED in 11.6s //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 0.4s //tensorflow/compiler/xla/service:memory_space_assignment_test PASSED in 2.2s //tensorflow/compiler/xla/service:memory_space_propagation_test PASSED in 2.8s //tensorflow/compiler/xla/service:name_uniquer_test PASSED in 0.3s //tensorflow/compiler/xla/service:operand_upcaster_test PASSED in 1.0s //tensorflow/compiler/xla/service:optimize_input_output_buffer_alias_test PASSED in 1.0s //tensorflow/compiler/xla/service:pattern_matcher_gmock_test PASSED in 0.6s //tensorflow/compiler/xla/service:pattern_matcher_test PASSED in 0.8s //tensorflow/compiler/xla/service:profile_guided_latency_estimator_test PASSED in 0.9s //tensorflow/compiler/xla/service:real_imag_expander_test PASSED in 1.2s //tensorflow/compiler/xla/service:reduce_decomposer_test PASSED in 0.8s //tensorflow/compiler/xla/service:reduce_scatter_combiner_test PASSED in 1.1s //tensorflow/compiler/xla/service:reduce_scatter_decomposer_test PASSED in 1.1s //tensorflow/compiler/xla/service:reduce_scatter_reassociate_test PASSED in 1.1s //tensorflow/compiler/xla/service:reshape_decomposer_test PASSED in 1.3s //tensorflow/compiler/xla/service:reshape_mover_test PASSED in 2.6s //tensorflow/compiler/xla/service:result_caster_test PASSED in 0.8s //tensorflow/compiler/xla/service:root_instruction_sinker_test PASSED in 0.9s //tensorflow/compiler/xla/service:scatter_expander_test PASSED in 0.8s //tensorflow/compiler/xla/service:scatter_simplifier_test PASSED in 0.8s //tensorflow/compiler/xla/service:select_and_scatter_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:shape_inference_test PASSED in 0.3s //tensorflow/compiler/xla/service:shaped_buffer_test PASSED in 7.2s //tensorflow/compiler/xla/service:sharding_propagation_test PASSED in 3.6s //tensorflow/compiler/xla/service:sharding_remover_test PASSED in 1.0s //tensorflow/compiler/xla/service:simplify_fp_conversions_test PASSED in 1.4s //tensorflow/compiler/xla/service:slice_sinker_test PASSED in 1.5s //tensorflow/compiler/xla/service:sort_simplifier_test PASSED in 1.6s //tensorflow/compiler/xla/service:space_to_batch_converter_test PASSED in 1.0s //tensorflow/compiler/xla/service:stable_sort_expander_test PASSED in 1.0s //tensorflow/compiler/xla/service:stochastic_convert_decomposer_test PASSED in 1.3s //tensorflow/compiler/xla/service:stream_pool_test PASSED in 0.3s //tensorflow/compiler/xla/service:topk_rewriter_test PASSED in 6.0s //tensorflow/compiler/xla/service:transpose_folding_test PASSED in 2.0s //tensorflow/compiler/xla/service:tuple_points_to_analysis_test PASSED in 1.7s //tensorflow/compiler/xla/service:tuple_simplifier_test PASSED in 0.9s //tensorflow/compiler/xla/service:tuple_util_test PASSED in 1.1s //tensorflow/compiler/xla/service:while_loop_all_reduce_code_motion_test PASSED in 1.5s //tensorflow/compiler/xla/service:while_loop_analysis_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_loop_concat_code_motion_test PASSED in 1.2s //tensorflow/compiler/xla/service:while_loop_constant_sinking_test PASSED in 3.6s //tensorflow/compiler/xla/service:while_loop_expensive_invariant_code_motion_test PASSED in 1.1s //tensorflow/compiler/xla/service:while_loop_invariant_code_motion_test PASSED in 1.2s //tensorflow/compiler/xla/service:while_loop_simplifier_test PASSED in 2.4s //tensorflow/compiler/xla/service:while_loop_trip_count_annotator_test PASSED in 1.1s //tensorflow/compiler/xla/service:while_util_test PASSED in 2.3s //tensorflow/compiler/xla/service:xla_aot_compile_stablehlo_cpu_test PASSED in 9.4s //tensorflow/compiler/xla/service:xla_debug_info_manager_test PASSED in 1.7s //tensorflow/compiler/xla/service:zero_sized_hlo_elimination_test PASSED in 1.3s //tensorflow/compiler/xla/service/cpu:conv_canonicalization_test PASSED in 1.3s //tensorflow/compiler/xla/service/cpu:cpu_eigen_tensor_alignment_test PASSED in 1.5s //tensorflow/compiler/xla/service/cpu:cpu_instruction_fusion_test PASSED in 1.6s //tensorflow/compiler/xla/service/cpu:cpu_layout_assignment_test PASSED in 3.4s //tensorflow/compiler/xla/service/cpu:ir_emission_utils_test PASSED in 1.4s //tensorflow/compiler/xla/service/cpu:parallel_task_assignment_test PASSED in 2.9s //tensorflow/compiler/xla/service/cpu:runtime_fft_test PASSED in 0.3s //tensorflow/compiler/xla/service/cpu:shape_partition_test PASSED in 0.9s //tensorflow/compiler/xla/service/cpu:xfeed_manager_test PASSED in 0.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_bytesizeof_test PASSED in 0.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_dyn_shape_test PASSED in 8.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_eigen_dot_operation_test PASSED in 7.4s //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 6.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_infeed_test PASSED in 7.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_intrinsic_test PASSED in 14.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_key_value_sort_test PASSED in 8.1s //tensorflow/compiler/xla/service/cpu/tests:cpu_literal_caching_test PASSED in 7.8s //tensorflow/compiler/xla/service/cpu/tests:cpu_noalias_test PASSED in 7.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_outfeed_test PASSED in 8.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_profiling_test PASSED in 9.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_spmd_compile_test PASSED in 9.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_topk_test PASSED in 10.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_vectorization_test PASSED in 12.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_while_test PASSED in 10.3s //tensorflow/compiler/xla/service/cpu/tests:tree_reduction_rewriter_test PASSED in 9.9s //tensorflow/compiler/xla/service/gpu:alias_passthrough_params_test PASSED in 1.0s //tensorflow/compiler/xla/service/gpu:all_reduce_blueconnect_test PASSED in 1.0s //tensorflow/compiler/xla/service/gpu:cublas_pad_for_gemms_test PASSED in 1.8s //tensorflow/compiler/xla/service/gpu:cudnn_pad_for_convolutions_test PASSED in 2.3s //tensorflow/compiler/xla/service/gpu:cudnn_simplify_padding_test PASSED in 2.2s //tensorflow/compiler/xla/service/gpu:cudnn_support_utils_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:cudnn_vectorize_convolutions_test PASSED in 2.6s //tensorflow/compiler/xla/service/gpu:fusion_merger_test PASSED in 2.3s //tensorflow/compiler/xla/service/gpu:gemm_rewriter_triton_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:gpu_conv_padding_legalization_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:gpu_conv_rewriter_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:gpu_fusible_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu:gpu_hlo_cost_analysis_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu:gpu_performance_model_test PASSED in 2.5s //tensorflow/compiler/xla/service/gpu:gpu_sanitize_constant_names_test PASSED in 2.1s //tensorflow/compiler/xla/service/gpu:hlo_algorithm_denylist_test PASSED in 0.4s //tensorflow/compiler/xla/service/gpu:hlo_fusion_stats_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:instruction_fusion_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu:ir_emission_utils_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:matmul_utils_test PASSED in 0.7s //tensorflow/compiler/xla/service/gpu:move_copy_to_users_test PASSED in 2.3s //tensorflow/compiler/xla/service/gpu:multi_output_fusion_test PASSED in 2.8s //tensorflow/compiler/xla/service/gpu:non_atomically_upgradeable_rw_lock_test PASSED in 0.3s //tensorflow/compiler/xla/service/gpu:reduction_splitter_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu:scatter_slice_simplifier_test PASSED in 1.0s //tensorflow/compiler/xla/service/gpu:target_util_test PASSED in 0.5s //tensorflow/compiler/xla/service/gpu:variadic_op_splitter_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu:while_transformer_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu/llvm_gpu_backend:utils_test PASSED in 0.3s //tensorflow/compiler/xla/service/gpu/tests:gpu_reduce_scatter_creator_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu/tests:reduction_degenerate_dim_remover_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu/tests:reduction_dimension_grouper_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu/tests:tree_reduction_rewriter_test PASSED in 1.9s //tensorflow/compiler/xla/service/graphcycles:graphcycles_test PASSED in 0.7s //tensorflow/compiler/xla/service/graphcycles:ordered_set_test PASSED in 0.2s //tensorflow/compiler/xla/service/llvm_ir:alias_analysis_test PASSED in 7.4s //tensorflow/compiler/xla/service/llvm_ir:ir_array_test PASSED in 0.5s //tensorflow/compiler/xla/service/spmd:canonicalize_all_gather_for_cse_test PASSED in 1.7s //tensorflow/compiler/xla/service/spmd:collective_permute_motion_test PASSED in 1.7s //tensorflow/compiler/xla/service/spmd:partition_assignment_test PASSED in 1.3s //tensorflow/compiler/xla/service/spmd:schedule_aware_collective_ops_cse_test PASSED in 4.6s //tensorflow/compiler/xla/service/spmd:spmd_partitioner_test PASSED in 5.1s //tensorflow/compiler/xla/service/spmd:stateful_rng_spmd_partitioner_test PASSED in 1.2s //tensorflow/compiler/xla/stream_executor:dnn_test PASSED in 0.3s //tensorflow/compiler/xla/stream_executor:stream_test PASSED in 0.3s //tensorflow/compiler/xla/stream_executor/host:host_stream_test PASSED in 0.7s //tensorflow/compiler/xla/tests:all_reduce_test_cpu PASSED in 9.3s //tensorflow/compiler/xla/tests:axpy_simple_test_cpu PASSED in 8.3s //tensorflow/compiler/xla/tests:bad_rng_shape_validation_test_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests:binop_scaling_test_cpu PASSED in 8.8s //tensorflow/compiler/xla/tests:bitcast_convert_test_cpu PASSED in 8.6s //tensorflow/compiler/xla/tests:broadcast_simple_test_cpu PASSED in 10.6s //tensorflow/compiler/xla/tests:broadcast_test_cpu PASSED in 10.9s //tensorflow/compiler/xla/tests:buffer_donation_test_cpu PASSED in 8.9s //tensorflow/compiler/xla/tests:call_test_cpu PASSED in 10.1s //tensorflow/compiler/xla/tests:check_execution_arity_test_cpu PASSED in 8.8s //tensorflow/compiler/xla/tests:cholesky_test_cpu PASSED in 16.8s //tensorflow/compiler/xla/tests:client_test_cpu PASSED in 10.0s //tensorflow/compiler/xla/tests:collective_ops_test_cpu PASSED in 19.1s 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//tensorflow/compiler/xla/tests:multiple_devices_on_host_test PASSED in 7.9s //tensorflow/compiler/xla/tests:multithreaded_compilation_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/tests:outfeed_in_nested_computation_test_cpu PASSED in 8.6s //tensorflow/compiler/xla/tests:pad_test_cpu PASSED in 8.7s //tensorflow/compiler/xla/tests:pred_test_cpu PASSED in 8.5s //tensorflow/compiler/xla/tests:query_inferred_shape_test_cpu PASSED in 8.9s //tensorflow/compiler/xla/tests:reduce_hlo_test_cpu PASSED in 12.3s //tensorflow/compiler/xla/tests:reduce_precision_test_cpu PASSED in 8.5s //tensorflow/compiler/xla/tests:replay_test_cpu PASSED in 9.1s //tensorflow/compiler/xla/tests:reshape_motion_test_cpu PASSED in 8.2s //tensorflow/compiler/xla/tests:reverse_test_cpu PASSED in 8.2s //tensorflow/compiler/xla/tests:round_trip_packed_literal_test_cpu PASSED in 8.7s //tensorflow/compiler/xla/tests:round_trip_transfer_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:sample_text_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/tests:scatter_test_cpu PASSED in 14.0s //tensorflow/compiler/xla/tests:select_test_cpu PASSED in 8.2s //tensorflow/compiler/xla/tests:test_utils_test_cpu PASSED in 8.7s //tensorflow/compiler/xla/tests:token_hlo_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:transfer_manager_test_cpu PASSED in 15.4s //tensorflow/compiler/xla/tests:transpose_test_cpu PASSED in 9.9s //tensorflow/compiler/xla/tests:tuple_test_cpu PASSED in 9.5s //tensorflow/compiler/xla/tests:unary_op_test_cpu PASSED in 8.8s //tensorflow/compiler/xla/tests:value_inference_test_cpu PASSED in 9.0s //tensorflow/compiler/xla/tests:vector_ops_reduce_test_cpu PASSED in 9.1s //tensorflow/compiler/xla/tests:vector_ops_simple_test_cpu PASSED in 9.2s //tensorflow/compiler/xla/tests:while_test_cpu PASSED in 10.5s //tensorflow/compiler/xla/tools:hlo_control_flow_flattening_test PASSED in 1.1s //tensorflow/compiler/xla/tools:hlo_extractor_test PASSED in 0.9s //tensorflow/compiler/xla/tools:hlo_module_loader_test PASSED in 1.1s //tensorflow/compiler/xla/tools:interactive_graphviz_bin_test PASSED in 0.2s //tensorflow/compiler/xla/tools:run_hlo_module_bin_test PASSED in 0.9s //tensorflow/compiler/xla/tools/hlo_bisect:hlo_bisect_state_test PASSED in 1.2s //tensorflow/compiler/xla/translate/hlo_to_mhlo:hlo_utils_test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo:mlir_hlo_builder_test PASSED in 0.8s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:bool_compare.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:case_conditional.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:dynamic_param.hlo.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:entry_computation_layout.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:frontend_attributes.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fully_connected_reference_model.hlotxt.test PASSED in 0.9s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fusion.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:if_conditional.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import_async.hlotxt.test PASSED in 0.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:layouts_and_names.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:location.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:module_attributes.hlo.test PASSED in 1.2s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:simple.hlo.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:spmd_module_sharding.hlo.test PASSED in 0.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:types.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:while.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo:type_to_shape_test PASSED in 0.9s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:add.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:case.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:dynamic.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export-with-layouts.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_and_check_layouts.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_large_constants.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_replicas.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:frontend_attributes.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:fusion.mlir.test PASSED in 1.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:if.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:input_output_aliasing.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:layouts_and_names.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:location_to_op_metadata.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:missing_main.mlir.test PASSED in 0.5s //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 0.9s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:opaque_elements_attr.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:rng_get_and_update_state.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:sharding.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:simple.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:unsupported_type.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:while.mlir.test PASSED in 1.9s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:hlo_text_to_lhlo_no_opt.hlotxt.test PASSED in 3.4s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:no_opt_ops.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:non_identity_layouts.hlotxt.test PASSED in 2.2s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:ops.mlir.test PASSED in 3.5s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:passthrough.mlir.test PASSED in 1.9s 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//tensorflow/core/common_runtime:function_optimization_registry_pass_failure_test PASSED in 0.8s //tensorflow/core/common_runtime:function_optimization_registry_test PASSED in 1.0s //tensorflow/core/common_runtime:function_threadpool_test PASSED in 1.8s //tensorflow/core/common_runtime:graph_constructor_test PASSED in 3.2s //tensorflow/core/common_runtime:graph_runner_test PASSED in 1.1s //tensorflow/core/common_runtime:hierarchical_tree_broadcaster_test_cpu PASSED in 3.4s //tensorflow/core/common_runtime:inline_function_utils_test PASSED in 1.1s //tensorflow/core/common_runtime:input_colocation_exemption_registry_test PASSED in 0.7s //tensorflow/core/common_runtime:int32_fulltype_test PASSED in 0.8s //tensorflow/core/common_runtime:isolate_placer_inspection_required_ops_pass_test PASSED in 0.9s //tensorflow/core/common_runtime:lower_case_op_test PASSED in 2.6s //tensorflow/core/common_runtime:lower_function_call_test PASSED in 3.3s //tensorflow/core/common_runtime:lower_functional_ops_test PASSED in 3.0s //tensorflow/core/common_runtime:lower_if_op_test PASSED in 2.7s //tensorflow/core/common_runtime:lower_while_op_test PASSED in 3.0s //tensorflow/core/common_runtime:mkl_cpu_allocator_test PASSED in 0.2s //tensorflow/core/common_runtime:mkl_threadpool_device_test PASSED in 0.2s //tensorflow/core/common_runtime:no_op_cost_measurement_test PASSED in 0.3s //tensorflow/core/common_runtime:null_request_cost_accessor_test PASSED in 0.3s //tensorflow/core/common_runtime:optimization_registry_test PASSED in 1.4s //tensorflow/core/common_runtime:optimize_cross_host_control_deps_test PASSED in 12.9s //tensorflow/core/common_runtime:optimize_function_graph_utils_test PASSED in 0.7s //tensorflow/core/common_runtime:partitioning_utils_test PASSED in 1.1s //tensorflow/core/common_runtime:pending_counts_test PASSED in 0.9s //tensorflow/core/common_runtime:permuter_test_cpu PASSED in 4.3s //tensorflow/core/common_runtime:placer_inspection_required_ops_utils_test PASSED in 0.9s //tensorflow/core/common_runtime:placer_test PASSED in 1.0s //tensorflow/core/common_runtime:process_function_library_runtime_test_cpu PASSED in 0.7s //tensorflow/core/common_runtime:process_util_test PASSED in 0.1s //tensorflow/core/common_runtime:quantize_training_test PASSED in 2.3s //tensorflow/core/common_runtime:rendezvous_util_test PASSED in 0.2s //tensorflow/core/common_runtime:replicate_per_replica_nodes_test PASSED in 0.7s //tensorflow/core/common_runtime:request_cost_accessor_registry_test PASSED in 2.0s //tensorflow/core/common_runtime:request_cost_test PASSED in 0.2s //tensorflow/core/common_runtime:ring_gatherer_test_cpu PASSED in 4.1s //tensorflow/core/common_runtime:ring_reducer_test_cpu PASSED in 5.9s //tensorflow/core/common_runtime:scoped_allocator_mgr_test PASSED in 4.1s //tensorflow/core/common_runtime:session_test PASSED in 1.0s 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1.1s //tensorflow/core/data:serialization_utils_test PASSED in 0.5s //tensorflow/core/data:snapshot_utils_test PASSED in 0.7s //tensorflow/core/data:split_utils_test PASSED in 0.6s //tensorflow/core/data:standalone_save_restore_test PASSED in 1.9s //tensorflow/core/data:standalone_test PASSED in 1.9s //tensorflow/core/data:tfdataz_metrics_test PASSED in 2.7s //tensorflow/core/data:unbounded_thread_pool_test PASSED in 0.8s //tensorflow/core/data/service:auto_shard_rewriter_test PASSED in 1.2s //tensorflow/core/data/service:common_test PASSED in 0.3s //tensorflow/core/data/service:credentials_factory_test PASSED in 1.0s //tensorflow/core/data/service:cross_trainer_cache_test PASSED in 1.4s //tensorflow/core/data/service:data_service_test PASSED in 14.1s //tensorflow/core/data/service:data_transfer_test PASSED in 0.6s //tensorflow/core/data/service:dataset_store_test PASSED in 0.6s //tensorflow/core/data/service:dispatcher_client_test PASSED in 4.0s //tensorflow/core/data/service:dispatcher_state_test PASSED in 0.6s //tensorflow/core/data/service:grpc_dispatcher_impl_test PASSED in 2.8s //tensorflow/core/data/service:grpc_util_test PASSED in 0.9s //tensorflow/core/data/service:grpc_worker_impl_test PASSED in 4.2s //tensorflow/core/data/service:journal_test PASSED in 0.9s //tensorflow/core/data/service:logging_utils_test PASSED in 0.8s //tensorflow/core/data/service:task_runner_test PASSED in 5.1s //tensorflow/core/data/service:test_util_test PASSED in 3.6s //tensorflow/core/data/service:url_test PASSED in 0.1s //tensorflow/core/data/service:utils_test PASSED in 0.7s //tensorflow/core/data/service:validate_utils_test PASSED in 0.1s //tensorflow/core/data/service:worker_client_test PASSED in 4.3s //tensorflow/core/data/service:worker_impl_test PASSED in 3.5s //tensorflow/core/data/service/client:data_service_client_test PASSED in 6.0s //tensorflow/core/data/service/client:utils_test PASSED in 4.3s //tensorflow/core/data/service/client:validate_utils_test PASSED in 1.7s //tensorflow/core/data/service/snapshot:distributed_snapshot_test PASSED in 20.1s //tensorflow/core/data/service/snapshot:file_utils_test PASSED in 0.8s //tensorflow/core/data/service/snapshot:path_utils_test PASSED in 0.2s //tensorflow/core/data/service/snapshot:snapshot_manager_test PASSED in 3.8s //tensorflow/core/data/service/snapshot:snapshot_split_provider_test PASSED in 0.7s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_checkpoint_test PASSED in 5.2s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_test PASSED in 3.4s //tensorflow/core/data/service/snapshot:utils_test PASSED in 0.1s //tensorflow/core/debug:debug_graph_utils_test PASSED in 0.6s //tensorflow/core/distributed_runtime:call_options_test PASSED in 0.1s //tensorflow/core/distributed_runtime:cluster_function_library_runtime_test PASSED in 3.9s //tensorflow/core/distributed_runtime:collective_param_resolver_distributed_test PASSED in 1.0s //tensorflow/core/distributed_runtime:collective_rma_distributed_test PASSED in 0.9s //tensorflow/core/distributed_runtime:device_resolver_distributed_test PASSED in 0.8s //tensorflow/core/distributed_runtime:message_wrappers_test PASSED in 0.6s //tensorflow/core/distributed_runtime:partial_run_mgr_test PASSED in 0.6s //tensorflow/core/distributed_runtime:recent_request_ids_test PASSED in 0.3s //tensorflow/core/distributed_runtime:request_id_test PASSED in 0.2s //tensorflow/core/distributed_runtime:rpc_collective_executor_mgr_test PASSED in 0.8s //tensorflow/core/distributed_runtime:server_lib_test PASSED in 0.3s //tensorflow/core/distributed_runtime:session_mgr_test PASSED in 1.4s //tensorflow/core/distributed_runtime:tensor_coding_test PASSED in 0.1s //tensorflow/core/distributed_runtime/coordination:coordination_service_barrier_proxy_test PASSED in 2.6s //tensorflow/core/distributed_runtime/eager:eager_service_impl_test PASSED in 22.8s //tensorflow/core/distributed_runtime/eager:remote_mgr_test PASSED in 17.1s //tensorflow/core/distributed_runtime/integration_test:c_api_coordination_test_cpu PASSED in 46.6s //tensorflow/core/distributed_runtime/integration_test:c_api_multi_client_test_cpu PASSED in 35.2s //tensorflow/core/distributed_runtime/integration_test:c_api_recoverable_jobs_test_cpu PASSED in 41.9s //tensorflow/core/distributed_runtime/integration_test:c_api_session_coordination_test_cpu PASSED in 32.0s //tensorflow/core/distributed_runtime/rpc:grpc_tensor_coding_test PASSED in 3.5s //tensorflow/core/distributed_runtime/rpc:grpc_worker_cache_test PASSED in 0.7s //tensorflow/core/distributed_runtime/rpc/eager:grpc_eager_client_test PASSED in 0.6s //tensorflow/core/example:example_parser_configuration_test PASSED in 1.2s //tensorflow/core/example:feature_util_test PASSED in 0.2s //tensorflow/core/framework:allocator_test PASSED in 3.4s //tensorflow/core/framework:attr_value_util_test PASSED in 1.3s //tensorflow/core/framework:batch_util_test PASSED in 0.6s //tensorflow/core/framework:bfloat16_test PASSED in 0.7s //tensorflow/core/framework:common_shape_fns_test PASSED in 0.8s //tensorflow/core/framework:dataset_test PASSED in 0.9s //tensorflow/core/framework:device_base_test PASSED in 1.3s //tensorflow/core/framework:disable_jit_test PASSED in 1.4s //tensorflow/core/framework:framework_op_gen_lib_test PASSED in 0.2s //tensorflow/core/framework:framework_op_segment_test PASSED in 0.9s //tensorflow/core/framework:framework_resource_var_test PASSED in 0.1s //tensorflow/core/framework:framework_run_handler_test PASSED in 2.7s //tensorflow/core/framework:framework_run_handler_util_test PASSED in 2.4s //tensorflow/core/framework:full_type_inference_util_test PASSED in 1.4s //tensorflow/core/framework:full_type_util_test PASSED in 1.2s //tensorflow/core/framework:function_test PASSED in 1.4s //tensorflow/core/framework:graph_def_util_test PASSED in 1.1s //tensorflow/core/framework:graph_to_functiondef_test PASSED in 0.8s //tensorflow/core/framework:kernel_def_builder_test PASSED in 1.0s //tensorflow/core/framework:kernel_def_util_test PASSED in 0.9s //tensorflow/core/framework:memory_types_test PASSED in 0.7s //tensorflow/core/framework:model_test PASSED in 1.3s //tensorflow/core/framework:node_def_builder_test PASSED in 1.6s //tensorflow/core/framework:node_def_util_test PASSED in 1.5s //tensorflow/core/framework:node_properties_test PASSED in 1.4s //tensorflow/core/framework:op_compatibility_test PASSED in 1.2s //tensorflow/core/framework:op_def_builder_test PASSED in 0.9s //tensorflow/core/framework:op_def_util_test PASSED in 1.1s //tensorflow/core/framework:op_kernel_test PASSED in 1.1s //tensorflow/core/framework:op_registration_test PASSED in 0.9s //tensorflow/core/framework:partial_tensor_shape_test PASSED in 0.8s //tensorflow/core/framework:rendezvous_test PASSED in 3.1s //tensorflow/core/framework:resource_handle_test PASSED in 0.2s //tensorflow/core/framework:resource_mgr_test PASSED in 2.1s //tensorflow/core/framework:resource_op_kernel_test PASSED in 0.9s //tensorflow/core/framework:shape_inference_test PASSED in 0.8s //tensorflow/core/framework:shape_inference_testutil_test PASSED in 1.1s //tensorflow/core/framework:tensor_shape_test PASSED in 8.6s //tensorflow/core/framework:tensor_slice_test PASSED in 1.4s //tensorflow/core/framework:tensor_test PASSED in 31.9s //tensorflow/core/framework:tensor_testutil_test PASSED in 1.7s //tensorflow/core/framework:tensor_util_test PASSED in 2.1s //tensorflow/core/framework:tracking_allocator_test PASSED in 0.7s //tensorflow/core/framework:types_test PASSED in 1.0s //tensorflow/core/framework:variant_op_registry_test PASSED in 18.5s //tensorflow/core/framework:variant_test PASSED in 1.4s //tensorflow/core/framework/registration:registration_test PASSED in 0.7s //tensorflow/core/function/capture:by_ref_capture_test PASSED in 26.0s //tensorflow/core/function/capture:capture_container_test PASSED in 17.9s //tensorflow/core/function/integration_test:side_inputs_manual_api_test PASSED in 15.9s //tensorflow/core/function/integration_test:side_inputs_test PASSED in 14.9s //tensorflow/core/function/polymorphism:function_cache_test PASSED in 8.8s //tensorflow/core/function/polymorphism:function_type_test PASSED in 6.6s //tensorflow/core/function/polymorphism:type_dispatch_test PASSED in 7.7s //tensorflow/core/function/runtime_client:runtime_client_cc_test PASSED in 32.0s //tensorflow/core/function/trace_type:default_types_test PASSED in 9.6s //tensorflow/core/function/trace_type:serialization_test PASSED in 7.6s //tensorflow/core/function/trace_type:trace_type_test PASSED in 17.0s //tensorflow/core/graph:algorithm_test PASSED in 1.2s //tensorflow/core/graph:collective_order_test PASSED in 1.4s //tensorflow/core/graph:control_flow_test PASSED in 1.0s //tensorflow/core/graph:costmodel_test PASSED in 0.9s //tensorflow/core/graph:edgeset_test PASSED in 0.9s //tensorflow/core/graph:graph_def_builder_test PASSED in 1.4s //tensorflow/core/graph:graph_partition_test PASSED in 1.6s //tensorflow/core/graph:graph_test PASSED in 0.9s //tensorflow/core/graph:node_builder_test PASSED in 1.4s //tensorflow/core/graph:optimizer_cse_test PASSED in 1.4s //tensorflow/core/graph:subgraph_test PASSED in 1.6s //tensorflow/core/graph:tensor_id_test PASSED in 2.5s //tensorflow/core/graph:validate_test PASSED in 0.8s //tensorflow/core/graph/regularization:simple_delete_test PASSED in 0.5s //tensorflow/core/graph/regularization:util_test PASSED in 0.2s //tensorflow/core/grappler:graph_topology_view_test PASSED in 0.2s //tensorflow/core/grappler:graph_view_test PASSED in 1.7s //tensorflow/core/grappler:grappler_item_builder_test PASSED in 3.0s //tensorflow/core/grappler:grappler_item_test PASSED in 3.1s //tensorflow/core/grappler:mutable_graph_view_test PASSED in 2.4s //tensorflow/core/grappler:utils_test PASSED in 3.0s //tensorflow/core/grappler/clusters:single_machine_test PASSED in 24.2s //tensorflow/core/grappler/clusters:virtual_cluster_test PASSED in 3.3s //tensorflow/core/grappler/costs:analytical_cost_estimator_test PASSED in 2.3s //tensorflow/core/grappler/costs:cost_estimator_test PASSED in 0.1s //tensorflow/core/grappler/costs:graph_memory_test PASSED in 1.6s //tensorflow/core/grappler/costs:graph_properties_test PASSED in 4.2s //tensorflow/core/grappler/costs:robust_stats_test PASSED in 0.4s //tensorflow/core/grappler/costs:utils_test PASSED in 1.6s //tensorflow/core/grappler/costs:virtual_placer_test PASSED in 0.4s //tensorflow/core/grappler/costs:virtual_scheduler_test PASSED in 3.4s //tensorflow/core/grappler/graph_analyzer:gen_node_test PASSED in 3.0s //tensorflow/core/grappler/graph_analyzer:graph_analyzer_test PASSED in 1.8s //tensorflow/core/grappler/graph_analyzer:hash_tools_test PASSED in 2.5s 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3.0s //tensorflow/core/grappler/optimizers:shape_optimizer_test_cpu PASSED in 2.0s //tensorflow/core/grappler/optimizers:static_schedule_test_cpu PASSED in 1.7s //tensorflow/core/grappler/optimizers:tfg_optimizer_hook_test PASSED in 0.8s //tensorflow/core/grappler/optimizers/data:auto_shard_test PASSED in 0.7s //tensorflow/core/grappler/optimizers/data:autotune_buffer_sizes_test PASSED in 1.0s //tensorflow/core/grappler/optimizers/data:batch_parallelization_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:disable_intra_op_parallelism_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:disable_prefetch_legacy_autotune_test PASSED in 1.0s //tensorflow/core/grappler/optimizers/data:enable_gradient_descent_test PASSED in 1.2s //tensorflow/core/grappler/optimizers/data:filter_fusion_test PASSED in 0.9s //tensorflow/core/grappler/optimizers/data:filter_parallelization_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:function_utils_test PASSED in 0.6s 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//tensorflow/tsl/distributed_runtime/coordination:coordination_service_recoverable_job_test PASSED in 0.5s //tensorflow/tsl/distributed_runtime/preemption:preemption_notifier_test PASSED in 6.3s //tensorflow/tsl/distributed_runtime/preemption:preemption_sync_manager_test PASSED in 5.5s //tensorflow/tsl/distributed_runtime/rpc:grpc_channel_test PASSED in 1.1s //tensorflow/tsl/distributed_runtime/rpc:grpc_util_test PASSED in 0.2s //tensorflow/tsl/framework:cancellation_test PASSED in 1.4s //tensorflow/tsl/framework/convolution:spatial_convolutions_test PASSED in 0.2s //tensorflow/tsl/lib/gtl:tsl_lib_gtl_tests PASSED in 0.1s //tensorflow/tsl/lib/hash:crc32c_test PASSED in 0.1s //tensorflow/tsl/lib/histogram:histogram_test PASSED in 0.9s //tensorflow/tsl/lib/io:buffered_inputstream_test PASSED in 0.2s //tensorflow/tsl/lib/io:cache_test PASSED in 0.1s //tensorflow/tsl/lib/io:inputbuffer_test PASSED in 1.6s //tensorflow/tsl/lib/io:inputstream_interface_test PASSED in 0.5s //tensorflow/tsl/lib/io:random_inputstream_test PASSED in 0.2s //tensorflow/tsl/lib/io:record_reader_writer_test PASSED in 0.8s //tensorflow/tsl/lib/io:recordio_test PASSED in 1.4s //tensorflow/tsl/lib/io:table_test PASSED in 4.4s //tensorflow/tsl/lib/io:zlib_buffers_test PASSED in 37.5s //tensorflow/tsl/lib/io/snappy:snappy_test PASSED in 0.3s //tensorflow/tsl/lib/math:math_util_test PASSED in 0.3s //tensorflow/tsl/lib/random:distribution_sampler_test PASSED in 0.6s //tensorflow/tsl/lib/random:philox_random_test PASSED in 0.4s //tensorflow/tsl/lib/random:random_distributions_test PASSED in 18.4s //tensorflow/tsl/lib/random:simple_philox_test PASSED in 0.1s //tensorflow/tsl/lib/random:weighted_picker_test PASSED in 12.2s //tensorflow/tsl/platform:ctstring_test PASSED in 0.1s //tensorflow/tsl/platform:denormal_test PASSED in 0.1s //tensorflow/tsl/platform:errors_test PASSED in 0.9s //tensorflow/tsl/platform:fingerprint_test PASSED in 0.1s //tensorflow/tsl/platform:float8_test PASSED in 1.2s //tensorflow/tsl/platform:hash_test PASSED in 0.1s //tensorflow/tsl/platform:integral_types_test PASSED in 0.1s //tensorflow/tsl/platform:intrusive_ptr_test PASSED in 0.2s //tensorflow/tsl/platform:logging_test PASSED in 27.7s //tensorflow/tsl/platform:mutex_test PASSED in 0.2s //tensorflow/tsl/platform:net_test PASSED in 0.1s //tensorflow/tsl/platform:numbers_test PASSED in 0.4s //tensorflow/tsl/platform:path_test PASSED in 0.1s //tensorflow/tsl/platform:port_test PASSED in 8.2s //tensorflow/tsl/platform:random_test PASSED in 1.9s //tensorflow/tsl/platform:refcount_test PASSED in 0.2s //tensorflow/tsl/platform:retrying_file_system_test PASSED in 0.1s //tensorflow/tsl/platform:retrying_utils_test PASSED in 0.7s //tensorflow/tsl/platform:scanner_test PASSED in 0.5s //tensorflow/tsl/platform:setround_test PASSED in 0.1s //tensorflow/tsl/platform:stacktrace_handler_test PASSED in 1.5s //tensorflow/tsl/platform:stacktrace_test PASSED in 0.1s //tensorflow/tsl/platform:status_matchers_test PASSED in 0.1s //tensorflow/tsl/platform:status_test PASSED in 0.1s //tensorflow/tsl/platform:statusor_test PASSED in 19.4s //tensorflow/tsl/platform:str_util_test PASSED in 0.6s //tensorflow/tsl/platform:strcat_test PASSED in 0.3s //tensorflow/tsl/platform:stringpiece_test PASSED in 0.3s //tensorflow/tsl/platform:stringprintf_test PASSED in 0.1s //tensorflow/tsl/platform:subprocess_test PASSED in 0.2s //tensorflow/tsl/platform:tstring_test PASSED in 0.2s //tensorflow/tsl/platform:unbounded_work_queue_test PASSED in 0.7s //tensorflow/tsl/platform/cloud:compute_engine_metadata_client_test PASSED in 0.4s //tensorflow/tsl/platform/cloud:compute_engine_zone_provider_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:curl_http_request_test PASSED in 7.2s //tensorflow/tsl/platform/cloud:expiring_lru_cache_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:gcs_dns_cache_test PASSED in 0.2s //tensorflow/tsl/platform/cloud:gcs_file_system_test PASSED in 6.3s //tensorflow/tsl/platform/cloud:gcs_throttle_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:google_auth_provider_test PASSED in 0.7s //tensorflow/tsl/platform/cloud:oauth_client_test PASSED in 0.2s //tensorflow/tsl/platform/cloud:ram_file_block_cache_test PASSED in 2.4s //tensorflow/tsl/platform/cloud:time_util_test PASSED in 0.2s //tensorflow/tsl/profiler/backends/cpu:traceme_recorder_test PASSED in 0.6s //tensorflow/tsl/profiler/convert:trace_events_to_json_test PASSED in 0.3s //tensorflow/tsl/profiler/convert:xla_op_utils_test PASSED in 0.1s //tensorflow/tsl/profiler/convert:xplane_to_trace_events_test PASSED in 0.2s //tensorflow/tsl/profiler/lib:profiler_factory_test PASSED in 0.1s //tensorflow/tsl/profiler/lib:profiler_lock_test PASSED in 0.4s //tensorflow/tsl/profiler/lib:scoped_annotation_test PASSED in 0.2s //tensorflow/tsl/profiler/lib:traceme_encode_test PASSED in 0.1s //tensorflow/tsl/profiler/rpc/client:profiler_client_test PASSED in 3.4s //tensorflow/tsl/profiler/rpc/client:remote_profiler_session_manager_test PASSED in 3.4s //tensorflow/tsl/profiler/utils:buffer_pool_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:group_events_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:parse_annotation_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:tf_op_utils_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:timespan_test PASSED in 0.2s //tensorflow/tsl/profiler/utils:tpu_xplane_utils_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:xplane_builder_test PASSED in 0.2s //tensorflow/tsl/profiler/utils:xplane_utils_test PASSED in 0.2s //tensorflow/tsl/util:device_name_utils_test PASSED in 0.1s //tensorflow/tsl/util:stats_calculator_test PASSED in 0.1s //tensorflow/compiler/tests:complex_div_test_cpu PASSED in 6.6s Stats over 2 runs: max = 6.6s, min = 5.6s, avg = 6.1s, dev = 0.5s //tensorflow/compiler/tests:complex_div_test_cpu_mlir_bridge_test PASSED in 7.8s Stats over 2 runs: max = 7.8s, min = 6.4s, avg = 7.1s, dev = 0.7s //tensorflow/compiler/xla/tests:conditional_test_cpu PASSED in 11.7s Stats over 2 runs: max = 11.7s, min = 10.9s, avg = 11.3s, dev = 0.4s //tensorflow/python:control_flow_ops_test_cpu PASSED in 30.4s Stats over 2 runs: max = 30.4s, min = 29.9s, avg = 30.1s, dev = 0.2s //tensorflow/python/data/experimental/kernel_tests/optimization:optimization_test PASSED in 29.1s Stats over 2 runs: max = 29.1s, min = 21.6s, avg = 25.3s, dev = 3.7s //tensorflow/python/data/experimental/kernel_tests/service:metadata_test PASSED in 15.5s Stats over 2 runs: max = 15.5s, min = 14.1s, avg = 14.8s, dev = 0.7s //tensorflow/python/data/kernel_tests:padded_batch_test PASSED in 48.8s Stats over 2 runs: max = 48.8s, min = 48.1s, avg = 48.5s, dev = 0.4s //tensorflow/python/data/kernel_tests:repeat_test PASSED in 53.5s Stats over 2 runs: max = 53.5s, min = 51.6s, avg = 52.5s, dev = 1.0s //tensorflow/python/data/kernel_tests:window_test PASSED in 42.2s Stats over 2 runs: max = 42.2s, min = 27.8s, avg = 35.0s, dev = 7.2s //tensorflow/python/distribute:strategy_common_test_2gpu PASSED in 24.3s Stats over 2 runs: max = 24.3s, min = 19.4s, avg = 21.8s, dev = 2.5s //tensorflow/python/distribute:strategy_common_test_cpu PASSED in 23.4s Stats over 2 runs: max = 23.4s, min = 17.8s, avg = 20.6s, dev = 2.8s //tensorflow/python/distribute:strategy_common_test_xla_2gpu PASSED in 13.8s Stats over 2 runs: max = 13.8s, min = 12.4s, avg = 13.1s, dev = 0.7s //tensorflow/python/kernel_tests/array_ops:scatter_nd_ops_test_cpu PASSED in 13.6s Stats over 2 runs: max = 13.6s, min = 13.5s, avg = 13.6s, dev = 0.1s //tensorflow/python/kernel_tests/array_ops:scatter_ops_test_cpu PASSED in 20.2s Stats over 2 runs: max = 20.2s, min = 18.8s, avg = 19.5s, dev = 0.7s //tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu PASSED in 15.1s Stats over 2 runs: max = 15.1s, min = 14.6s, avg = 14.8s, dev = 0.2s //tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu PASSED in 10.9s Stats over 2 runs: max = 10.9s, min = 9.5s, avg = 10.2s, dev = 0.7s //tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu PASSED in 109.8s Stats over 2 runs: max = 109.8s, min = 37.4s, avg = 73.6s, dev = 36.2s //tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 129.5s Stats over 2 runs: max = 129.5s, min = 6.8s, avg = 68.2s, dev = 61.3s //tensorflow/compiler/tests:spacetobatch_op_test_cpu PASSED in 9.1s Stats over 3 runs: max = 9.1s, min = 8.8s, avg = 9.0s, dev = 0.1s //tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test PASSED in 9.9s Stats over 3 runs: max = 9.9s, min = 9.6s, avg = 9.8s, dev = 0.2s //tensorflow/compiler/xla/tests:triangular_solve_test_cpu PASSED in 63.3s Stats over 3 runs: max = 63.3s, min = 60.3s, avg = 62.3s, dev = 1.4s //tensorflow/core/data/service:thread_safe_buffer_test PASSED in 1.6s Stats over 3 runs: max = 1.6s, min = 0.8s, avg = 1.3s, dev = 0.4s //tensorflow/python/data/kernel_tests:unique_test PASSED in 13.5s Stats over 3 runs: max = 13.5s, min = 11.3s, avg = 12.1s, dev = 1.0s //tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu PASSED in 44.9s Stats over 3 runs: max = 44.9s, min = 24.5s, avg = 32.1s, dev = 9.1s //tensorflow/python/kernel_tests/array_ops:weights_broadcast_test PASSED in 9.4s Stats over 3 runs: max = 9.4s, min = 8.9s, avg = 9.1s, dev = 0.2s //tensorflow/python/kernel_tests/distributions:util_test_cpu PASSED in 12.2s Stats over 3 runs: max = 12.2s, min = 10.9s, avg = 11.7s, dev = 0.6s //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 321.9s Stats over 3 runs: max = 321.9s, min = 7.9s, avg = 112.8s, dev = 147.8s //tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu PASSED in 12.7s Stats over 3 runs: max = 12.7s, min = 9.9s, avg = 10.9s, dev = 1.3s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 16.3s Stats over 4 runs: max = 16.3s, min = 12.0s, avg = 13.8s, dev = 1.6s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 14.8s Stats over 4 runs: max = 14.8s, min = 10.2s, avg = 11.8s, dev = 1.8s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 70.8s Stats over 4 runs: max = 70.8s, min = 14.7s, avg = 46.0s, dev = 23.3s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 40.9s Stats over 4 runs: max = 40.9s, min = 7.7s, avg = 27.0s, dev = 14.2s //tensorflow/compiler/xla/tests:dynamic_ops_test_cpu PASSED in 10.4s Stats over 4 runs: max = 10.4s, min = 9.2s, avg = 10.0s, dev = 0.4s //tensorflow/core/kernels:example_parsing_ops_test PASSED in 1.0s Stats over 4 runs: max = 1.0s, min = 0.7s, avg = 0.8s, dev = 0.1s //tensorflow/python:nn_batchnorm_test_cpu PASSED in 21.0s Stats over 4 runs: max = 21.0s, min = 8.7s, avg = 16.3s, dev = 4.9s //tensorflow/python:nn_fused_batchnorm_d9m_test_cpu PASSED in 16.9s Stats over 4 runs: max = 16.9s, min = 15.0s, avg = 16.1s, dev = 0.7s //tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 30.9s Stats over 4 runs: max = 30.9s, min = 15.1s, avg = 23.3s, dev = 6.5s //tensorflow/python/data/experimental/kernel_tests:map_and_batch_test PASSED in 36.4s Stats over 4 runs: max = 36.4s, min = 22.0s, avg = 26.4s, dev = 5.8s //tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 25.6s Stats over 4 runs: max = 25.6s, min = 12.5s, avg = 19.1s, dev = 6.0s //tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test PASSED in 22.9s Stats over 4 runs: max = 22.9s, min = 8.2s, avg = 13.8s, dev = 5.7s //tensorflow/python/data/experimental/kernel_tests:sql_dataset_test PASSED in 40.9s Stats over 4 runs: max = 40.9s, min = 31.8s, avg = 36.7s, dev = 4.2s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 8.8s Stats over 4 runs: max = 8.8s, min = 7.0s, avg = 8.0s, dev = 0.7s //tensorflow/python/data/kernel_tests:batch_test PASSED in 31.0s Stats over 4 runs: max = 31.0s, min = 20.9s, avg = 24.3s, dev = 4.0s //tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test PASSED in 22.1s Stats over 4 runs: max = 22.1s, min = 12.8s, avg = 17.8s, dev = 4.2s //tensorflow/python/data/kernel_tests:from_generator_test PASSED in 26.0s Stats over 4 runs: max = 26.0s, min = 14.6s, avg = 19.9s, dev = 4.4s //tensorflow/python/data/kernel_tests:group_by_window_test PASSED in 22.1s Stats over 4 runs: max = 22.1s, min = 7.0s, avg = 13.0s, dev = 6.4s //tensorflow/python/data/kernel_tests:ragged_batch_test PASSED in 18.1s Stats over 4 runs: max = 18.1s, min = 16.3s, avg = 17.2s, dev = 0.6s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 37.0s Stats over 4 runs: max = 37.0s, min = 26.2s, avg = 31.1s, dev = 4.0s //tensorflow/python/data/kernel_tests:skip_test PASSED in 25.5s Stats over 4 runs: max = 25.5s, min = 16.3s, avg = 21.0s, dev = 4.1s //tensorflow/python/data/kernel_tests:take_test PASSED in 44.1s Stats over 4 runs: max = 44.1s, min = 39.1s, avg = 42.2s, dev = 2.0s //tensorflow/python/data/kernel_tests:take_while_test PASSED in 71.1s Stats over 4 runs: max = 71.1s, min = 54.7s, avg = 63.6s, dev = 6.6s //tensorflow/python/data/kernel_tests:text_line_dataset_test PASSED in 20.7s Stats over 4 runs: max = 20.7s, min = 14.5s, avg = 17.6s, dev = 2.7s //tensorflow/python/data/kernel_tests:zip_test PASSED in 15.8s Stats over 4 runs: max = 15.8s, min = 13.0s, avg = 14.0s, dev = 1.1s //tensorflow/python/debug/lib:dumping_callback_test_cpu PASSED in 15.7s Stats over 4 runs: max = 15.7s, min = 14.3s, avg = 14.8s, dev = 0.6s //tensorflow/python/distribute:cross_device_ops_test_2gpu PASSED in 30.7s Stats over 4 runs: max = 30.7s, min = 23.7s, avg = 27.3s, dev = 2.9s //tensorflow/python/distribute:cross_device_ops_test_cpu PASSED in 33.8s Stats over 4 runs: max = 33.8s, min = 21.9s, avg = 26.6s, dev = 4.8s //tensorflow/python/distribute:strategy_gather_test_2gpu PASSED in 27.1s Stats over 4 runs: max = 27.1s, min = 15.6s, avg = 21.2s, dev = 5.6s //tensorflow/python/distribute:strategy_gather_test_cpu PASSED in 27.2s Stats over 4 runs: max = 27.2s, min = 16.1s, avg = 21.8s, dev = 4.8s //tensorflow/python/distribute:strategy_gather_test_xla_2gpu PASSED in 25.9s Stats over 4 runs: max = 25.9s, min = 13.9s, avg = 19.8s, dev = 5.5s //tensorflow/python/framework:convert_to_constants_test PASSED in 26.7s Stats over 4 runs: max = 26.7s, min = 17.0s, avg = 20.7s, dev = 4.0s //tensorflow/python/kernel_tests:collective_ops_test_2gpu PASSED in 44.9s Stats over 4 runs: max = 44.9s, min = 41.8s, avg = 43.6s, dev = 1.1s //tensorflow/python/kernel_tests:collective_ops_test_cpu PASSED in 34.1s Stats over 4 runs: max = 34.1s, min = 32.2s, avg = 33.0s, dev = 0.8s //tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 15.2s Stats over 4 runs: max = 15.2s, min = 12.9s, avg = 13.6s, dev = 1.0s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 64.3s Stats over 4 runs: max = 64.3s, min = 19.7s, avg = 40.2s, dev = 18.9s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 28.1s Stats over 4 runs: max = 28.1s, min = 8.6s, avg = 15.4s, dev = 8.0s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 117.4s Stats over 4 runs: max = 117.4s, min = 17.0s, avg = 53.9s, dev = 40.3s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 25.0s Stats over 4 runs: max = 25.0s, min = 24.3s, avg = 24.6s, dev = 0.3s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 80.7s Stats over 4 runs: max = 80.7s, min = 8.7s, avg = 40.1s, dev = 31.8s //tensorflow/python/kernel_tests/signal:window_ops_test_cpu PASSED in 18.7s Stats over 4 runs: max = 18.7s, min = 18.1s, avg = 18.4s, dev = 0.2s //tensorflow/python/ops/ragged:ragged_gather_op_test PASSED in 84.5s Stats over 4 runs: max = 84.5s, min = 19.6s, avg = 45.3s, dev = 24.1s //tensorflow/python/ops/ragged:ragged_getitem_test PASSED in 64.3s Stats over 4 runs: max = 64.3s, min = 59.8s, avg = 62.4s, dev = 1.7s //tensorflow/tools/docs:tf_doctest PASSED in 54.2s Stats over 4 runs: max = 54.2s, min = 26.7s, avg = 41.3s, dev = 9.8s //tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test FLAKY, failed in 1 out of 4 in 900.0s Stats over 4 runs: max = 900.0s, min = 7.6s, avg = 236.8s, dev = 383.0s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/data/experimental/kernel_tests/service/multi_process_cluster_test/shard_3_of_3/test_attempts/attempt_1.log //tensorflow/compiler/tests:async_comp_test_cpu PASSED in 9.8s Stats over 5 runs: max = 9.8s, min = 9.0s, avg = 9.2s, dev = 0.3s //tensorflow/compiler/tests:conv3d_test_cpu PASSED in 13.7s Stats over 5 runs: max = 13.7s, min = 6.1s, avg = 9.4s, dev = 3.4s //tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test PASSED in 12.8s Stats over 5 runs: max = 12.8s, min = 5.7s, avg = 9.0s, dev = 3.1s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu PASSED in 13.7s Stats over 5 runs: max = 13.7s, min = 9.4s, avg = 11.1s, dev = 2.1s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test PASSED in 16.1s Stats over 5 runs: max = 16.1s, min = 8.3s, avg = 11.7s, dev = 3.2s //tensorflow/compiler/tests:fused_batchnorm_test_cpu PASSED in 14.8s Stats over 5 runs: max = 14.8s, min = 13.2s, avg = 14.1s, dev = 0.7s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 8.3s Stats over 5 runs: max = 8.3s, min = 7.2s, avg = 7.8s, dev = 0.4s //tensorflow/compiler/tests:image_ops_jit_compile_test_cpu PASSED in 8.0s Stats over 5 runs: max = 8.0s, min = 7.2s, avg = 7.6s, dev = 0.2s //tensorflow/compiler/tests:reduce_ops_test_cpu PASSED in 11.0s Stats over 5 runs: max = 11.0s, min = 9.9s, avg = 10.7s, dev = 0.4s //tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test PASSED in 11.7s Stats over 5 runs: max = 11.7s, min = 10.0s, avg = 10.9s, dev = 0.5s //tensorflow/compiler/tests:repeat_op_test_cpu PASSED in 8.0s Stats over 5 runs: max = 8.0s, min = 6.9s, avg = 7.2s, dev = 0.4s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 8.0s Stats over 5 runs: max = 8.0s, min = 7.0s, avg = 7.2s, dev = 0.4s //tensorflow/compiler/tests:special_math_test_cpu PASSED in 144.6s Stats over 5 runs: max = 144.6s, min = 14.1s, avg = 56.9s, dev = 45.6s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 108.7s Stats over 5 runs: max = 108.7s, min = 14.3s, avg = 49.0s, dev = 32.4s //tensorflow/compiler/xla/client/lib:self_adjoint_eig_test_cpu PASSED in 29.0s Stats over 5 runs: max = 29.0s, min = 12.3s, avg = 22.1s, dev = 7.0s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 3.5s Stats over 5 runs: max = 3.5s, min = 2.6s, avg = 3.1s, dev = 0.4s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 12.0s Stats over 5 runs: max = 12.0s, min = 9.5s, avg = 10.7s, dev = 0.9s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 18.6s Stats over 5 runs: max = 18.6s, min = 9.2s, avg = 12.5s, dev = 3.3s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 18.3s Stats over 5 runs: max = 18.3s, min = 14.7s, avg = 16.3s, dev = 1.2s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 21.1s Stats over 5 runs: max = 21.1s, min = 18.0s, avg = 20.3s, dev = 1.2s //tensorflow/python/distribute:vars_test_2gpu PASSED in 29.3s Stats over 5 runs: max = 29.3s, min = 26.4s, avg = 27.6s, dev = 0.9s //tensorflow/python/distribute:vars_test_cpu PASSED in 16.1s Stats over 5 runs: max = 16.1s, min = 13.4s, avg = 15.1s, dev = 1.0s //tensorflow/python/eager:device_placement_test_cpu PASSED in 9.1s Stats over 5 runs: max = 9.1s, min = 7.7s, avg = 8.3s, dev = 0.6s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 119.1s Stats over 5 runs: max = 119.1s, min = 11.8s, avg = 49.6s, dev = 36.7s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 16.8s Stats over 5 runs: max = 16.8s, min = 10.8s, avg = 13.3s, dev = 2.2s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 81.2s Stats over 5 runs: max = 81.2s, min = 38.2s, avg = 51.7s, dev = 15.6s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 31.4s Stats over 5 runs: max = 31.4s, min = 25.6s, avg = 29.2s, dev = 2.5s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 37.2s Stats over 5 runs: max = 37.2s, min = 34.2s, avg = 36.3s, dev = 1.1s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 21.1s Stats over 5 runs: max = 21.1s, min = 19.0s, avg = 20.0s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 24.2s Stats over 5 runs: max = 24.2s, min = 23.3s, avg = 23.7s, dev = 0.3s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 26.7s Stats over 5 runs: max = 26.7s, min = 25.5s, avg = 26.2s, dev = 0.5s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 33.8s Stats over 5 runs: max = 33.8s, min = 31.5s, avg = 32.6s, dev = 0.8s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 34.1s Stats over 5 runs: max = 34.1s, min = 26.5s, avg = 29.9s, dev = 2.6s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 21.1s Stats over 5 runs: max = 21.1s, min = 19.2s, avg = 20.0s, dev = 0.6s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 16.4s Stats over 5 runs: max = 16.4s, min = 14.3s, avg = 15.1s, dev = 0.8s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 80.0s Stats over 5 runs: max = 80.0s, min = 75.5s, avg = 77.5s, dev = 1.5s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 8.1s Stats over 5 runs: max = 8.1s, min = 7.2s, avg = 7.9s, dev = 0.3s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 16.7s Stats over 5 runs: max = 16.7s, min = 14.9s, avg = 15.9s, dev = 0.6s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 15.7s Stats over 5 runs: max = 15.7s, min = 7.3s, avg = 9.4s, dev = 3.2s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 15.7s Stats over 5 runs: max = 15.7s, min = 7.7s, avg = 9.8s, dev = 3.0s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 30.5s Stats over 5 runs: max = 30.5s, min = 8.0s, avg = 12.9s, dev = 8.8s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 75.7s Stats over 5 runs: max = 75.7s, min = 27.1s, avg = 46.4s, dev = 17.2s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 16.4s Stats over 6 runs: max = 16.4s, min = 11.8s, avg = 14.0s, dev = 1.4s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 17.3s Stats over 6 runs: max = 17.3s, min = 10.4s, avg = 14.0s, dev = 2.0s //tensorflow/python:accumulate_n_benchmark_cpu PASSED in 7.0s Stats over 6 runs: max = 7.0s, min = 6.4s, avg = 6.7s, dev = 0.2s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 25.5s Stats over 6 runs: max = 25.5s, min = 8.6s, avg = 16.1s, dev = 7.5s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 71.6s Stats over 6 runs: max = 71.6s, min = 10.5s, avg = 22.9s, dev = 21.9s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 39.6s Stats over 6 runs: max = 39.6s, min = 23.3s, avg = 33.5s, dev = 5.1s //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 11.3s Stats over 7 runs: max = 11.3s, min = 7.2s, avg = 8.6s, dev = 1.6s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 55.8s Stats over 8 runs: max = 55.8s, min = 5.6s, avg = 22.1s, dev = 17.1s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 78.4s Stats over 8 runs: max = 78.4s, min = 3.7s, avg = 27.4s, dev = 25.2s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 35.2s Stats over 8 runs: max = 35.2s, min = 8.3s, avg = 20.9s, dev = 9.8s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 29.1s Stats over 8 runs: max = 29.1s, min = 10.1s, avg = 19.4s, dev = 6.6s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 43.1s Stats over 8 runs: max = 43.1s, min = 12.8s, avg = 27.4s, dev = 13.0s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 43.5s Stats over 8 runs: max = 43.5s, min = 15.0s, avg = 24.2s, dev = 11.7s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 24.5s Stats over 8 runs: max = 24.5s, min = 7.3s, avg = 14.1s, dev = 6.4s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 39.0s Stats over 8 runs: max = 39.0s, min = 24.0s, avg = 28.1s, dev = 4.9s //tensorflow/python/data/kernel_tests:filter_test PASSED in 18.2s Stats over 8 runs: max = 18.2s, min = 13.3s, avg = 15.3s, dev = 1.6s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 21.7s Stats over 8 runs: max = 21.7s, min = 12.9s, avg = 16.9s, dev = 3.1s //tensorflow/python/data/kernel_tests:shard_test PASSED in 24.0s Stats over 8 runs: max = 24.0s, min = 19.1s, avg = 21.6s, dev = 2.0s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 21.1s Stats over 8 runs: max = 21.1s, min = 12.7s, avg = 17.4s, dev = 2.5s //tensorflow/python/distribute/failure_handling:failure_handler_test PASSED in 62.5s Stats over 8 runs: max = 62.5s, min = 20.8s, avg = 40.8s, dev = 13.4s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test PASSED in 76.0s Stats over 8 runs: max = 76.0s, min = 12.3s, avg = 31.0s, dev = 24.8s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 49.7s Stats over 8 runs: max = 49.7s, min = 26.8s, avg = 38.7s, dev = 7.4s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 70.5s Stats over 8 runs: max = 70.5s, min = 49.3s, avg = 62.2s, dev = 6.8s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 51.7s Stats over 8 runs: max = 51.7s, min = 33.2s, avg = 40.9s, dev = 5.8s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 62.4s Stats over 8 runs: max = 62.4s, min = 10.4s, avg = 19.3s, dev = 17.3s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 8.2s Stats over 8 runs: max = 8.2s, min = 7.8s, avg = 8.0s, dev = 0.1s //tensorflow/python/kernel_tests/signal:fft_ops_test_cpu PASSED in 21.3s Stats over 8 runs: max = 21.3s, min = 8.0s, avg = 13.1s, dev = 5.0s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 85.4s Stats over 8 runs: max = 85.4s, min = 70.2s, avg = 74.8s, dev = 5.5s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 24.1s Stats over 8 runs: max = 24.1s, min = 10.8s, avg = 15.8s, dev = 3.7s //tensorflow/compiler/tests:bincount_op_test_cpu PASSED in 7.0s Stats over 10 runs: max = 7.0s, min = 5.1s, avg = 5.8s, dev = 0.5s //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 7.2s Stats over 10 runs: max = 7.2s, min = 5.9s, avg = 6.4s, dev = 0.4s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 7.4s Stats over 10 runs: max = 7.4s, min = 4.4s, avg = 5.9s, dev = 1.0s //tensorflow/compiler/tests:image_ops_test_cpu PASSED in 15.7s Stats over 10 runs: max = 15.7s, min = 10.7s, avg = 13.3s, dev = 1.9s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 33.6s Stats over 10 runs: max = 33.6s, min = 14.8s, avg = 21.7s, dev = 5.3s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 120.5s Stats over 10 runs: max = 120.5s, min = 113.0s, avg = 116.9s, dev = 2.3s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 65.3s Stats over 10 runs: max = 65.3s, min = 37.0s, avg = 52.9s, dev = 10.4s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 122.6s Stats over 10 runs: max = 122.6s, min = 57.0s, avg = 89.8s, dev = 23.9s //tensorflow/compiler/xla/client/lib:svd_test_cpu PASSED in 74.0s Stats over 10 runs: max = 74.0s, min = 7.9s, avg = 26.1s, dev = 24.4s //tensorflow/compiler/xla/client/lib:tridiagonal_test_cpu PASSED in 7.9s Stats over 10 runs: max = 7.9s, min = 7.0s, avg = 7.6s, dev = 0.2s //tensorflow/compiler/xla/service/cpu:cpu_runtime_test PASSED in 3.2s Stats over 10 runs: max = 3.2s, min = 0.8s, avg = 2.4s, dev = 0.8s //tensorflow/python:special_math_ops_test_cpu PASSED in 43.8s Stats over 10 runs: max = 43.8s, min = 7.9s, avg = 14.1s, dev = 10.1s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 19.8s Stats over 10 runs: max = 19.8s, min = 6.6s, avg = 11.6s, dev = 4.1s //tensorflow/python/distribute:input_lib_test_2gpu PASSED in 34.9s Stats over 10 runs: max = 34.9s, min = 23.1s, avg = 29.1s, dev = 4.0s //tensorflow/python/distribute:input_lib_test_cpu PASSED in 23.8s Stats over 10 runs: max = 23.8s, min = 19.5s, avg = 20.6s, dev = 1.4s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 18.9s Stats over 10 runs: max = 18.9s, min = 6.2s, avg = 12.6s, dev = 4.4s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 16.9s Stats over 10 runs: max = 16.9s, min = 8.0s, avg = 12.3s, dev = 3.3s //tensorflow/python/framework:config_vgpu_test_2gpu PASSED in 7.6s Stats over 10 runs: max = 7.6s, min = 4.8s, avg = 6.5s, dev = 0.9s //tensorflow/python/framework:config_vgpu_test_cpu PASSED in 7.0s Stats over 10 runs: max = 7.0s, min = 6.4s, avg = 6.7s, dev = 0.2s //tensorflow/python/framework:function_test_cpu PASSED in 59.6s Stats over 10 runs: max = 59.6s, min = 4.5s, avg = 13.9s, dev = 15.6s //tensorflow/python/grappler:cluster_test_cpu PASSED in 8.4s Stats over 10 runs: max = 8.4s, min = 6.4s, avg = 7.5s, dev = 0.7s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 17.5s Stats over 10 runs: max = 17.5s, min = 10.8s, avg = 13.2s, dev = 1.9s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 7.6s Stats over 10 runs: max = 7.6s, min = 4.3s, avg = 5.9s, dev = 1.2s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 10.0s Stats over 10 runs: max = 10.0s, min = 6.9s, avg = 8.4s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:linear_operator_kronecker_test_cpu PASSED in 32.5s Stats over 10 runs: max = 32.5s, min = 24.0s, avg = 27.6s, dev = 2.8s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 66.2s Stats over 10 runs: max = 66.2s, min = 60.8s, avg = 63.4s, dev = 1.4s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 126.3s Stats over 10 runs: max = 126.3s, min = 4.4s, avg = 18.5s, dev = 35.9s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 39.1s Stats over 10 runs: max = 39.1s, min = 6.6s, avg = 23.2s, dev = 10.0s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 25.6s Stats over 10 runs: max = 25.6s, min = 5.4s, avg = 14.1s, dev = 8.2s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 10.9s Stats over 10 runs: max = 10.9s, min = 4.7s, avg = 8.4s, dev = 2.3s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 8.4s Stats over 10 runs: max = 8.4s, min = 4.2s, avg = 6.3s, dev = 1.8s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 82.4s Stats over 10 runs: max = 82.4s, min = 18.5s, avg = 50.2s, dev = 30.3s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 19.5s Stats over 10 runs: max = 19.5s, min = 16.8s, avg = 18.3s, dev = 0.7s //tensorflow/python/saved_model:load_test_cpu PASSED in 44.8s Stats over 10 runs: max = 44.8s, min = 23.9s, avg = 28.1s, dev = 5.9s //tensorflow/dtensor/python/tests:input_util_test FLAKY, failed in 2 out of 10 in 24.9s Stats over 10 runs: max = 24.9s, min = 15.2s, avg = 19.1s, dev = 3.3s /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 25.1s Stats over 12 runs: max = 25.1s, min = 11.7s, avg = 17.6s, dev = 5.1s //tensorflow/compiler/xla/service:triangular_solve_expander_test PASSED in 5.5s Stats over 12 runs: max = 5.5s, min = 3.0s, avg = 3.7s, dev = 0.7s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 15.9s Stats over 12 runs: max = 15.9s, min = 3.6s, avg = 9.0s, dev = 3.7s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 11.3s Stats over 12 runs: max = 11.3s, min = 4.3s, avg = 6.9s, dev = 1.9s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 11.5s Stats over 12 runs: max = 11.5s, min = 8.2s, avg = 9.4s, dev = 1.2s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 225.5s Stats over 12 runs: max = 225.5s, min = 13.9s, avg = 51.9s, dev = 58.3s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 224.7s Stats over 12 runs: max = 224.7s, min = 12.6s, avg = 52.5s, dev = 57.9s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu FAILED in 3 out of 12 in 44.3s Stats over 12 runs: max = 44.3s, min = 4.0s, avg = 14.4s, dev = 12.1s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu/shard_8_of_10/test.log /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/kernel_tests/nn_ops/pooling_ops_test_cpu/shard_8_of_10/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/pooling_ops_test_cpu/shard_8_of_10/test_attempts/attempt_2.log //tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 16.8s Stats over 15 runs: max = 16.8s, min = 11.5s, avg = 13.8s, dev = 1.4s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 72.2s Stats over 15 runs: max = 72.2s, min = 53.9s, avg = 62.1s, dev = 4.9s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 50.7s Stats over 15 runs: max = 50.7s, min = 6.4s, avg = 14.3s, dev = 10.9s //tensorflow/python:image_ops_test_cpu PASSED in 19.2s Stats over 16 runs: max = 19.2s, min = 10.4s, avg = 14.7s, dev = 2.5s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 22.1s Stats over 16 runs: max = 22.1s, min = 6.8s, avg = 14.1s, dev = 4.5s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 22.3s Stats over 16 runs: max = 22.3s, min = 8.7s, avg = 14.9s, dev = 4.2s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 25.0s Stats over 16 runs: max = 25.0s, min = 13.6s, avg = 18.7s, dev = 3.2s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 30.3s Stats over 16 runs: max = 30.3s, min = 5.4s, avg = 10.3s, dev = 5.5s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 8.7s Stats over 16 runs: max = 8.7s, min = 3.6s, avg = 5.6s, dev = 1.6s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 12.3s Stats over 16 runs: max = 12.3s, min = 7.2s, avg = 10.6s, dev = 1.6s //tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu PASSED in 113.3s Stats over 16 runs: max = 113.3s, min = 66.3s, avg = 79.6s, dev = 10.0s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 20.3s Stats over 17 runs: max = 20.3s, min = 10.7s, avg = 13.4s, dev = 2.0s //tensorflow/python/data/kernel_tests:map_test PASSED in 35.6s Stats over 19 runs: max = 35.6s, min = 8.7s, avg = 16.2s, dev = 6.5s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 6.9s Stats over 20 runs: max = 6.9s, min = 3.4s, avg = 4.8s, dev = 1.1s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 6.5s Stats over 20 runs: max = 6.5s, min = 3.4s, avg = 5.0s, dev = 0.9s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 12.2s Stats over 20 runs: max = 12.2s, min = 3.2s, avg = 5.6s, dev = 2.1s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 11.8s Stats over 20 runs: max = 11.8s, min = 3.0s, avg = 5.5s, dev = 2.2s //tensorflow/compiler/xla/tests:convolution_dimension_numbers_test_cpu PASSED in 8.7s Stats over 20 runs: max = 8.7s, min = 7.2s, avg = 7.9s, dev = 0.4s //tensorflow/compiler/xla/tests:dot_operation_single_threaded_runtime_test_cpu PASSED in 16.4s Stats over 20 runs: max = 16.4s, min = 10.7s, avg = 12.5s, dev = 1.3s //tensorflow/compiler/xla/tests:dot_operation_test_cpu PASSED in 11.6s Stats over 20 runs: max = 11.6s, min = 9.9s, avg = 10.7s, dev = 0.5s //tensorflow/compiler/xla/tests:prng_test_cpu PASSED in 8.7s Stats over 20 runs: max = 8.7s, min = 6.8s, avg = 7.6s, dev = 0.4s //tensorflow/compiler/xla/tests:reduce_window_test_cpu PASSED in 43.1s Stats over 20 runs: max = 43.1s, min = 6.5s, avg = 15.9s, dev = 11.4s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 68.2s Stats over 20 runs: max = 68.2s, min = 45.0s, avg = 58.1s, dev = 6.0s //tensorflow/python/kernel_tests:metrics_test PASSED in 43.0s Stats over 20 runs: max = 43.0s, min = 9.9s, avg = 19.8s, dev = 9.5s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 7.6s Stats over 20 runs: max = 7.6s, min = 2.8s, avg = 5.8s, dev = 1.6s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 12.2s Stats over 20 runs: max = 12.2s, min = 2.6s, avg = 6.1s, dev = 2.3s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 46.8s Stats over 20 runs: max = 46.8s, min = 4.7s, avg = 15.7s, dev = 13.4s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 121.6s Stats over 20 runs: max = 121.6s, min = 39.7s, avg = 74.5s, dev = 25.4s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 8.2s Stats over 20 runs: max = 8.2s, min = 4.1s, avg = 6.1s, dev = 1.3s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 12.7s Stats over 20 runs: max = 12.7s, min = 6.4s, avg = 8.6s, dev = 1.6s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 234.6s Stats over 20 runs: max = 234.6s, min = 55.0s, avg = 136.2s, dev = 59.9s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 24.1s Stats over 20 runs: max = 24.1s, min = 5.7s, avg = 12.1s, dev = 6.3s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 21.6s Stats over 20 runs: max = 21.6s, min = 6.9s, avg = 12.7s, dev = 4.5s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 22.6s Stats over 20 runs: max = 22.6s, min = 17.7s, avg = 19.9s, dev = 1.4s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 101.2s Stats over 20 runs: max = 101.2s, min = 4.7s, avg = 35.3s, dev = 30.4s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 32.0s Stats over 20 runs: max = 32.0s, min = 13.7s, avg = 20.2s, dev = 5.1s //tensorflow/python/data/experimental/kernel_tests/service:local_workers_test PASSED in 19.5s Stats over 24 runs: max = 19.5s, min = 6.4s, avg = 14.3s, dev = 3.5s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 18.7s Stats over 24 runs: max = 18.7s, min = 7.3s, avg = 12.5s, dev = 3.4s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 18.0s Stats over 24 runs: max = 18.0s, min = 3.1s, avg = 8.8s, dev = 3.9s //tensorflow/compiler/xla/tests:array_elementwise_ops_test_cpu PASSED in 9.7s Stats over 25 runs: max = 9.7s, min = 7.9s, avg = 8.7s, dev = 0.5s //tensorflow/compiler/xla/tests:select_and_scatter_test_cpu PASSED in 38.0s Stats over 25 runs: max = 38.0s, min = 6.6s, avg = 11.5s, dev = 8.0s //tensorflow/compiler/xla/tests:convolution_variants_test_cpu PASSED in 14.1s Stats over 30 runs: max = 14.1s, min = 7.3s, avg = 10.6s, dev = 1.8s //tensorflow/compiler/xla/tests:iota_test_cpu PASSED in 17.4s Stats over 30 runs: max = 17.4s, min = 11.7s, avg = 13.3s, dev = 1.0s //tensorflow/compiler/xla/tests:params_test_cpu PASSED in 9.4s Stats over 30 runs: max = 9.4s, min = 7.8s, avg = 8.5s, dev = 0.4s //tensorflow/compiler/xla/tests:reshape_test_cpu PASSED in 9.3s Stats over 30 runs: max = 9.3s, min = 6.6s, avg = 8.3s, dev = 0.8s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 28.4s Stats over 30 runs: max = 28.4s, min = 3.1s, avg = 10.9s, dev = 6.5s //tensorflow/compiler/xla/tests:reduce_test_cpu PASSED in 9.1s Stats over 31 runs: max = 9.1s, min = 7.0s, avg = 8.0s, dev = 0.5s //tensorflow/compiler/xla/tests:scalar_computations_test_cpu PASSED in 21.9s Stats over 32 runs: max = 21.9s, min = 9.0s, avg = 12.0s, dev = 4.0s //tensorflow/python/data/experimental/kernel_tests/service:auto_shard_test PASSED in 18.9s Stats over 32 runs: max = 18.9s, min = 6.2s, avg = 13.4s, dev = 3.2s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 32.7s Stats over 32 runs: max = 32.7s, min = 12.2s, avg = 20.1s, dev = 4.9s //tensorflow/compiler/xla/tests:batch_normalization_test_cpu PASSED in 12.8s Stats over 40 runs: max = 12.8s, min = 7.3s, avg = 8.7s, dev = 1.0s //tensorflow/compiler/xla/tests:bfloat16_test_cpu PASSED in 10.4s Stats over 40 runs: max = 10.4s, min = 7.4s, avg = 8.8s, dev = 0.7s //tensorflow/compiler/xla/tests:conv_depthwise_backprop_filter_test_cpu PASSED in 10.7s Stats over 40 runs: max = 10.7s, min = 8.5s, avg = 9.7s, dev = 0.5s //tensorflow/compiler/xla/tests:slice_test_cpu PASSED in 12.6s Stats over 40 runs: max = 12.6s, min = 8.4s, avg = 10.1s, dev = 1.0s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 96.7s Stats over 50 runs: max = 96.7s, min = 19.0s, avg = 41.8s, dev = 26.7s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 39.3s Stats over 50 runs: max = 39.3s, min = 2.7s, avg = 10.8s, dev = 8.0s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 40.8s Stats over 50 runs: max = 40.8s, min = 2.5s, avg = 10.6s, dev = 8.3s //tensorflow/compiler/xla/tests:conv_depthwise_test_cpu PASSED in 10.7s Stats over 50 runs: max = 10.7s, min = 7.9s, avg = 8.9s, dev = 0.6s //tensorflow/compiler/xla/tests:convolution_test_1d_no_vmodule_cpu PASSED in 12.9s Stats over 50 runs: max = 12.9s, min = 7.9s, avg = 10.8s, dev = 1.6s //tensorflow/compiler/xla/tests:convolution_test_cpu PASSED in 16.3s Stats over 50 runs: max = 16.3s, min = 12.6s, avg = 13.9s, dev = 0.8s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 12.5s Stats over 50 runs: max = 12.5s, min = 4.0s, avg = 7.3s, dev = 2.0s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 7.8s Stats over 50 runs: max = 7.8s, min = 2.9s, avg = 4.5s, dev = 0.9s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 7.6s Stats over 50 runs: max = 7.6s, min = 2.7s, avg = 4.7s, dev = 1.5s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 30.5s Stats over 50 runs: max = 30.5s, min = 7.3s, avg = 14.4s, dev = 5.8s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 14.4s Stats over 50 runs: max = 14.4s, min = 3.2s, avg = 5.8s, dev = 2.2s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 13.8s Stats over 50 runs: max = 13.8s, min = 3.1s, avg = 4.9s, dev = 2.3s Executed 3635 out of 3635 tests: 3634 tests pass and 1 fails 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.