==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10): 2023-03-23 04:54:21.112222: 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 3.10.10: /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. W0323 04:54:25.431937 281473512469376 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. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s I0323 04:54:25.438149 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s [ SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:25.439062 281473512469376 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] 2023-03-23 04:54:25.473534: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:372] MLIR V1 optimization pass is not enabled 2023-03-23 04:54:25.484377: 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)): 0.05s I0323 04:54:25.488561 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.05s [ OK ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.04s I0323 04:54:25.534159 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.04s [ FAILED ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds [ RUN ] 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 I0323 04:54:25.536259 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.537000 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:25.537564 281473512469376 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 I0323 04:54:25.548232 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.549266 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:25.549866 281473512469376 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 I0323 04:54:25.562190 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.563223 281473512469376 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.563915 281473512469376 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.564572 281473512469376 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:25.565120 281473512469376 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 I0323 04:54:25.576277 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.577296 281473512469376 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:25.577878 281473512469376 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)): 0.01s I0323 04:54:25.587337 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.588378 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.589069 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.589722 281473512469376 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 [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:25.590279 281473512469376 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 I0323 04:54:25.602094 281473512469376 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] I0323 04:54:25.603049 281473512469376 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)): 0.01s I0323 04:54:25.617977 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.01s [ 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 I0323 04:54:25.634905 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0323 04:54:25.635954 281473512469376 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:25.636765 281473512469376 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:25.637440 281473512469376 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ 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] I0323 04:54:25.637995 281473512469376 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 I0323 04:54:25.650565 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.651606 281473512469376 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.652298 281473512469376 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.652950 281473512469376 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.653599 281473512469376 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ 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] I0323 04:54:25.654138 281473512469376 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 I0323 04:54:25.663849 281473512469376 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] I0323 04:54:25.664726 281473512469376 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 I0323 04:54:25.679409 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.680440 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.681131 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.681779 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ 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] I0323 04:54:25.682321 281473512469376 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 I0323 04:54:25.695104 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.696135 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.696833 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:25.697397 281473512469376 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 I0323 04:54:25.707172 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0323 04:54:25.708084 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:25.708768 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:25.709415 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:25.710052 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ 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] I0323 04:54:25.710596 281473512469376 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 I0323 04:54:25.720469 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.721475 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.722162 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.722809 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.723392 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:25.724023 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.724653 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.725281 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolFwd_maxpool4 INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s I0323 04:54:25.725861 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s [ OK ] PoolingTest.testMaxPoolFwd_maxpool4 [ RUN ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s I0323 04:54:25.744421 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s [ 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 I0323 04:54:25.749002 281473512469376 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 I0323 04:54:25.752225 281473512469376 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 I0323 04:54:25.755398 281473512469376 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 I0323 04:54:25.758676 281473512469376 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] I0323 04:54:25.759431 281473512469376 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 I0323 04:54:25.773720 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.774764 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.775455 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.776108 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.776728 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:25.777365 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.778009 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.778640 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ 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] I0323 04:54:25.779178 281473512469376 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 I0323 04:54:25.789120 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0323 04:54:25.790114 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:25.790798 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:25.791452 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ 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] I0323 04:54:25.791997 281473512469376 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 I0323 04:54:25.804872 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.805898 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.806615 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.807264 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:25.807813 281473512469376 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 I0323 04:54:25.820910 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.821890 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.822570 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.823212 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:25.823751 281473512469376 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 I0323 04:54:25.835275 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0323 04:54:25.836322 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:25.837034 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:25.837689 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) [ 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] I0323 04:54:25.838234 281473512469376 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 I0323 04:54:25.856847 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.857942 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.858638 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.859286 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) [ 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] I0323 04:54:25.859829 281473512469376 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 I0323 04:54:25.875270 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0323 04:54:25.876335 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.877036 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.877685 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.878324 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:25.878954 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:25.879490 281473512469376 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 I0323 04:54:25.889203 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0323 04:54:25.890147 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ 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] I0323 04:54:25.890732 281473512469376 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 I0323 04:54:25.900622 281473512469376 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0323 04:54:25.901529 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:25.902216 281473512469376 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:25.902864 281473512469376 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 [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.02s I0323 04:54:25.928221 281473512469376 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 0.497s FAILED (failures=1, skipped=65) ================================================================================ ==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10): 2023-03-23 04:54:27.068383: 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 3.10.10: /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. W0323 04:54:32.690534 281472901870464 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. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s I0323 04:54:32.696959 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s [ SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:32.698121 281472901870464 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] 2023-03-23 04:54:32.765046: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:372] MLIR V1 optimization pass is not enabled 2023-03-23 04:54:32.777519: 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)): 0.1s I0323 04:54:32.798572 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.1s [ OK ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False) [ RUN ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.12s I0323 04:54:32.916069 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.12s [ FAILED ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds [ RUN ] 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 I0323 04:54:32.918483 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:32.919241 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:32.919800 281472901870464 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 I0323 04:54:32.951540 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0323 04:54:32.952837 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:32.953434 281472901870464 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)): 0.09s I0323 04:54:33.047816 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.09s [ 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.049202 281472901870464 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.049944 281472901870464 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.050601 281472901870464 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:33.051155 281472901870464 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 I0323 04:54:33.064199 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.065580 281472901870464 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:33.066348 281472901870464 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 I0323 04:54:33.088313 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.089620 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.090303 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.090943 281472901870464 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 [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:33.091490 281472901870464 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 I0323 04:54:33.103729 281472901870464 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] I0323 04:54:33.104713 281472901870464 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)): 0.02s I0323 04:54:33.120705 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s [ 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 I0323 04:54:33.138070 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0323 04:54:33.139305 281472901870464 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:33.140013 281472901870464 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:33.140659 281472901870464 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ 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] I0323 04:54:33.141196 281472901870464 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 I0323 04:54:33.154986 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.156337 281472901870464 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.157111 281472901870464 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.157772 281472901870464 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.158420 281472901870464 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ 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] I0323 04:54:33.158963 281472901870464 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 I0323 04:54:33.169796 281472901870464 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] I0323 04:54:33.170901 281472901870464 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)): 0.02s I0323 04:54:33.186813 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s [ 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.188151 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.188894 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.189541 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ 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] I0323 04:54:33.190086 281472901870464 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 I0323 04:54:33.204868 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.206230 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.206992 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:33.207568 281472901870464 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 I0323 04:54:33.219303 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0323 04:54:33.220486 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:33.221200 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:33.221849 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:33.222491 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ 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] I0323 04:54:33.223043 281472901870464 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 I0323 04:54:33.234661 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.235933 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.236678 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.237334 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.237926 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:33.238564 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.239202 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.239838 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolFwd_maxpool4 INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s I0323 04:54:33.240423 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s [ OK ] PoolingTest.testMaxPoolFwd_maxpool4 [ RUN ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s I0323 04:54:33.259431 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s [ 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 I0323 04:54:33.264472 281472901870464 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 I0323 04:54:33.268154 281472901870464 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 I0323 04:54:33.271705 281472901870464 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 I0323 04:54:33.275171 281472901870464 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] I0323 04:54:33.276032 281472901870464 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)): 0.02s I0323 04:54:33.292315 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s [ 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.293678 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.294458 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.295133 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.295728 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:33.296403 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.297067 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.297709 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ 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] I0323 04:54:33.298256 281472901870464 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 I0323 04:54:33.310315 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0323 04:54:33.311621 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:33.312369 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:33.313036 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ 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] I0323 04:54:33.313586 281472901870464 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)): 0.02s I0323 04:54:33.329022 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.02s [ 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.330338 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.331105 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.331767 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:33.332329 281472901870464 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)): 0.02s I0323 04:54:33.348827 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.02s [ 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.350177 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.350931 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.351595 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:33.352149 281472901870464 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 I0323 04:54:33.365719 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0323 04:54:33.367081 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:33.367863 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:33.368541 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) [ 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] I0323 04:54:33.369098 281472901870464 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 I0323 04:54:33.388965 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.390402 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.391274 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.391985 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) [ 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] I0323 04:54:33.392546 281472901870464 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 I0323 04:54:33.410697 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0323 04:54:33.412062 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.412841 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.413509 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.414154 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:33.414790 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:33.415331 281472901870464 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 I0323 04:54:33.426598 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0323 04:54:33.427915 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ 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] I0323 04:54:33.428585 281472901870464 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 I0323 04:54:33.440399 281472901870464 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0323 04:54:33.441611 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:33.442392 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:33.443065 281472901870464 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 [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.03s I0323 04:54:33.473317 281472901870464 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.03s [ 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 0.784s FAILED (failures=1, skipped=65) ================================================================================ ==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10): 2023-03-23 04:54:34.802679: 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 3.10.10: /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. W0323 04:54:36.464264 281473298887552 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. INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s I0323 04:54:36.469926 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s [ SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:36.470872 281473298887552 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 [1, 3, 3, 1] [1, 2, 2, 1] 2023-03-23 04:54:36.527199: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:372] MLIR V1 optimization pass is not enabled 2023-03-23 04:54:36.538598: 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 I0323 04:54:36.542309 281473298887552 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 INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.06s I0323 04:54:36.600803 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.06s [ FAILED ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds [ RUN ] 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 I0323 04:54:36.602932 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.603683 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:36.604247 281473298887552 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 I0323 04:54:36.615309 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.616446 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:36.617046 281473298887552 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 I0323 04:54:36.630136 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.631267 281473298887552 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.631957 281473298887552 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.632599 281473298887552 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:36.633138 281473298887552 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 I0323 04:54:36.644812 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.645904 281473298887552 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 [ SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:36.646518 281473298887552 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)): 0.01s I0323 04:54:36.656983 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s [ 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) INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.658099 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.658806 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.659453 281473298887552 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 [ SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ 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] I0323 04:54:36.659999 281473298887552 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 I0323 04:54:36.672091 281473298887552 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] I0323 04:54:36.673048 281473298887552 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)): 0.02s I0323 04:54:36.688664 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s [ 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 I0323 04:54:36.706641 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0323 04:54:36.707765 281473298887552 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:36.708468 281473298887552 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:36.709117 281473298887552 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ 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] I0323 04:54:36.709657 281473298887552 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 I0323 04:54:36.723481 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.724647 281473298887552 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.725356 281473298887552 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.726006 281473298887552 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.726674 281473298887552 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 [ SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ 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] I0323 04:54:36.727209 281473298887552 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 I0323 04:54:36.737764 281473298887552 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] I0323 04:54:36.738770 281473298887552 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)): 0.02s I0323 04:54:36.754223 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s [ 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.755391 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.756148 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.756818 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ 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] I0323 04:54:36.757362 281473298887552 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 I0323 04:54:36.770622 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.771717 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.772396 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:36.772953 281473298887552 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 I0323 04:54:36.783293 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0323 04:54:36.784280 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:36.784972 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:36.785620 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:36.786282 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ 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] I0323 04:54:36.786838 281473298887552 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 I0323 04:54:36.797468 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.798557 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.799235 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.799876 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.800453 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:36.801075 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.801696 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.802320 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] PoolingTest.testMaxPoolFwd_maxpool4 INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s I0323 04:54:36.802890 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s [ OK ] PoolingTest.testMaxPoolFwd_maxpool4 [ RUN ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s I0323 04:54:36.823248 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s [ 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 I0323 04:54:36.827833 281473298887552 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 I0323 04:54:36.831217 281473298887552 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 I0323 04:54:36.834521 281473298887552 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 I0323 04:54:36.837887 281473298887552 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] I0323 04:54:36.838644 281473298887552 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 I0323 04:54:36.853339 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.854477 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.855168 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.855809 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.856425 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:36.857054 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.857689 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.858314 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False) [ 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] I0323 04:54:36.858846 281473298887552 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 I0323 04:54:36.869626 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0323 04:54:36.870697 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:36.871395 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:36.872047 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True) [ 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] I0323 04:54:36.872583 281473298887552 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 I0323 04:54:36.886775 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.887909 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.888598 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.889238 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:36.889788 281473298887552 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)): 0.03s I0323 04:54:36.917091 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.03s [ 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.918275 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.918950 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.919592 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:36.920128 281473298887552 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 I0323 04:54:36.932971 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s I0323 04:54:36.934108 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:36.934810 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:36.935455 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True) [ 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] I0323 04:54:36.936000 281473298887552 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 I0323 04:54:36.956719 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.957953 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.958645 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.959287 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False) [ 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] I0323 04:54:36.959836 281473298887552 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 I0323 04:54:36.989464 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s I0323 04:54:36.990623 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.991308 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.991949 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.992576 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False) [ RUN ] 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 I0323 04:54:36.993194 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False) [ 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] I0323 04:54:36.993722 281473298887552 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 I0323 04:54:37.004281 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s I0323 04:54:37.005388 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ 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] I0323 04:54:37.005976 281473298887552 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 I0323 04:54:37.016785 281473298887552 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) INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s I0323 04:54:37.017816 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True) [ RUN ] 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 I0323 04:54:37.018510 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True) [ RUN ] 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 I0323 04:54:37.019155 281473298887552 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 [ SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True) [ RUN ] PoolingTest.testMaxPoolingWithArgmax INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.03s I0323 04:54:37.045834 281473298887552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolingWithArgmax): 0.03s [ 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 0.583s FAILED (failures=1, skipped=65) ================================================================================ ==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 1 of 8): 2023-03-23 04:57:19.858243: 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 3.10.10: /usr/local/bin/python3 [ RUN ] DTensorDatasetTest.testForInIterationEager I0323 04:57:26.945341 281473262777216 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:26.945633 281473262777216 mesh_util.py:36] Number of global CPU devices: 16 I0323 04:57:26.945798 281473262777216 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0323 04:57:26.946437 281473262777216 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0323 04:57:26.946637 281473262777216 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'] 2023-03-23 04:57:27.598731: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:27.663217: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:27.728677: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:27.787455: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:27.844310: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:27.895545: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:27.896345: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.066132: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.066851: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.168742: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.169502: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.258726: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.259534: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.321110: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.321882: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.397620: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.398372: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.458758: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.459522: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.610564: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.611366: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.731607: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.732396: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.810946: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.811712: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.895784: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.896549: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.953855: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:28.954639: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:29.014961: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:29.015748: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:29.073394: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:29.074207: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:29.135496: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:29.136396: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:29.216793: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:29.217576: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:29.533534: 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}}]] 2023-03-23 04:57:29.535411: E tensorflow/dtensor/cc/dtensor_device.cc:2002] Encountered error while executing function: CopyToMesh__func_17681767185369718313_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_13569785099548484819_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. 2023-03-23 04:57:29.546241: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:1] (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}}]] 2023-03-23 04:57:29.546370: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:15] (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}}]] 2023-03-23 04:57:29.546654: E tensorflow/dtensor/cc/dtensor_device.cc:2048] Error executing CopyToMesh {{function_node IteratorGetNext__func_13569785099548484819_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. INFO:tensorflow:time(__main__.DTensorDatasetTest.testForInIterationEager): 2.73s I0323 04:57:29.677374 281473262777216 test_util.py:2467] time(__main__.DTensorDatasetTest.testForInIterationEager): 2.73s [ FAILED ] DTensorDatasetTest.testForInIterationEager [ RUN ] DTensorDatasetTest.testIterOnBatchedDatasetGraph I0323 04:57:29.681251 281473262777216 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:29.681484 281473262777216 mesh_util.py:36] Number of global CPU devices: 16 I0323 04:57:29.681647 281473262777216 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0323 04:57:29.682143 281473262777216 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0323 04:57:29.682289 281473262777216 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'] 2023-03-23 04:57:29.979418: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:30.104401: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:30.176702: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:30.255736: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:30.322375: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.323376: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.397314: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.398292: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.523688: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.524660: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.598711: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.599777: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.688347: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.689253: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.753466: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.754368: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.836519: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.837510: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.941495: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:30.942469: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.038195: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.039124: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.155374: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.176375: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.291355: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.292257: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.357481: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.358422: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.425901: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.426916: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.492844: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.493779: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.562334: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.563292: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.632097: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.633026: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:31.866521: I tensorflow/dtensor/cc/dtensor_device.cc:1493] DTensor cache key lookup missed for __inference_train_620. DTensor is (re-)computing its SPMD transformation. 2023-03-23 04:57:31.874431: I tensorflow/dtensor/cc/dtensor_device.cc:1562] DTensor cache key lookup missed for __inference_train_620. DTensor is (re-)computing its ExecutionFunctions. 2023-03-23 04:57:32.024416: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype float and shape [1] [[{{node Placeholder/_1}}]] INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 2.82s I0323 04:57:32.505426 281473262777216 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 2.82s [ OK ] DTensorDatasetTest.testIterOnBatchedDatasetGraph [ RUN ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) I0323 04:57:32.507522 281473262777216 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:32.507753 281473262777216 mesh_util.py:36] Number of global CPU devices: 16 I0323 04:57:32.507921 281473262777216 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0323 04:57:32.508439 281473262777216 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0323 04:57:32.508592 281473262777216 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'] 2023-03-23 04:57:32.796167: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:32.860547: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:32.861517: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.142938: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.143870: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.222497: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.223497: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.308493: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.309466: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.382939: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.383938: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.480936: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.481967: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.577578: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.578571: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.730080: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.731006: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.898656: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:33.899635: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:34.344849: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:34.345775: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:34.423356: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:34.424280: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:34.561782: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:34.562719: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:34.797498: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:34.798437: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:34.920984: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:34.921945: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:35.006936: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:35.007895: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:35.136085: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:35.137157: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:35.257282: I tensorflow/dtensor/cc/dtensor_device.cc:1493] DTensor cache key lookup missed for __inference_train_855. DTensor is (re-)computing its SPMD transformation. 2023-03-23 04:57:35.264742: I tensorflow/dtensor/cc/dtensor_device.cc:1562] DTensor cache key lookup missed for __inference_train_855. DTensor is (re-)computing its ExecutionFunctions. 2023-03-23 04:57:35.411727: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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)): 3.61s I0323 04:57:36.117943 281473262777216 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 3.61s [ 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) I0323 04:57:36.119841 281473262777216 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:36.120067 281473262777216 mesh_util.py:36] Number of global CPU devices: 16 I0323 04:57:36.120238 281473262777216 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0323 04:57:36.120763 281473262777216 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0323 04:57:36.120912 281473262777216 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'] 2023-03-23 04:57:36.433558: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:36.501439: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:36.502448: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:36.575103: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:36.576108: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:36.768844: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:36.769853: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:36.851796: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:36.852837: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:36.981941: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:36.982950: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.147931: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.148944: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.404167: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.405175: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.472737: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.476236: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.577118: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.578128: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.663414: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.664395: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.734992: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.735981: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.805542: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.806650: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.878830: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.879849: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.951791: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:37.952755: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:38.065917: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:38.069915: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:38.139803: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:38.140784: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:38.225937: I tensorflow/dtensor/cc/dtensor_device.cc:1493] DTensor cache key lookup missed for __inference_train_1094. DTensor is (re-)computing its SPMD transformation. 2023-03-23 04:57:38.234154: I tensorflow/dtensor/cc/dtensor_device.cc:1562] DTensor cache key lookup missed for __inference_train_1094. DTensor is (re-)computing its ExecutionFunctions. 2023-03-23 04:57:38.365717: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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)): 2.87s I0323 04:57:38.988530 281473262777216 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 2.87s [ OK ] DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) [ RUN ] DTensorIteratorSpecTest.testFromTensorList I0323 04:57:38.990473 281473262777216 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:38.990712 281473262777216 mesh_util.py:36] Number of global CPU devices: 8 I0323 04:57:38.990877 281473262777216 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7] I0323 04:57:38.991285 281473262777216 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7] I0323 04:57:38.991428 281473262777216 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'] 2023-03-23 04:57:39.275788: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:39.334670: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.335479: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.405310: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.406208: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.503776: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.504644: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.576181: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.577086: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.695139: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.695915: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.824382: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.825211: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.911281: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:39.912167: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:40.070245: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:40.071091: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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): 1.46s I0323 04:57:40.452945 281473262777216 test_util.py:2467] time(__main__.DTensorIteratorSpecTest.testFromTensorList): 1.46s [ 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]) I0323 04:57:40.455236 281473262777216 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:40.455468 281473262777216 mesh_util.py:36] Number of global CPU devices: 16 I0323 04:57:40.455629 281473262777216 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3] [ 4 5] [ 6 7]] [[ 8 9] [10 11] [12 13] [14 15]]] I0323 04:57:40.456077 281473262777216 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0323 04:57:40.456260 281473262777216 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 I0323 04:57:40.456917 281473262777216 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 303, in assertDTensorEqual unpacked = [t.numpy() for t in api.unpack(result_dtensor)] File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/api.py", line 352, in unpack return _dtensor_device().unpack(tensor) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/dtensor_device.py", line 250, in unpack tensors = _pywrap_dtensor_device.Unpack( ValueError: cannot create std::vector larger than max_size() ---------------------------------------------------------------------- Ran 6 tests in 13.514s FAILED (errors=1) ================================================================================ ==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 1 of 8): 2023-03-23 04:57:43.239640: 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 3.10.10: /usr/local/bin/python3 [ RUN ] DTensorDatasetTest.testForInIterationEager I0323 04:57:44.694424 281473478914944 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:44.694666 281473478914944 mesh_util.py:36] Number of global CPU devices: 16 I0323 04:57:44.694838 281473478914944 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0323 04:57:44.695415 281473478914944 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0323 04:57:44.695609 281473478914944 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'] 2023-03-23 04:57:45.035507: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.094793: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:45.152435: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:45.205599: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:45.260102: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:45.301957: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.302730: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.413216: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.413992: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.479950: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.480713: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.540788: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.541595: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.612176: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.612955: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.768101: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.768951: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.858665: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:45.859390: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.042494: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.043331: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.128808: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.129560: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.197028: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.197809: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.261597: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.262416: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.326185: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.326986: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.439926: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.440769: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.550490: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.551405: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.633210: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.634080: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.711991: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:46.712810: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:47.339856: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:11] (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}}]] 2023-03-23 04:57:47.340068: 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}}]] 2023-03-23 04:57:47.341838: E tensorflow/dtensor/cc/dtensor_device.cc:2002] Encountered error while executing function: CopyToMesh__func_14050527513374611739_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_8094412652974064766_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. 2023-03-23 04:57:47.356530: E tensorflow/dtensor/cc/dtensor_device.cc:2048] Error executing CopyToMesh {{function_node IteratorGetNext__func_8094412652974064766_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. INFO:tensorflow:time(__main__.DTensorDatasetTest.testForInIterationEager): 2.74s I0323 04:57:47.429245 281473478914944 test_util.py:2467] time(__main__.DTensorDatasetTest.testForInIterationEager): 2.74s [ FAILED ] DTensorDatasetTest.testForInIterationEager [ RUN ] DTensorDatasetTest.testIterOnBatchedDatasetGraph I0323 04:57:47.432595 281473478914944 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:47.432787 281473478914944 mesh_util.py:36] Number of global CPU devices: 16 I0323 04:57:47.432943 281473478914944 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0323 04:57:47.433395 281473478914944 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0323 04:57:47.433541 281473478914944 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'] 2023-03-23 04:57:47.629657: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:47.714627: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:48.102838: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:48.328590: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:48.382740: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.383671: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.463091: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.464001: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.530619: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.531630: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.600557: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.601533: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.667044: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.667949: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.793150: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.794048: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.913142: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.914098: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.982619: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:48.983574: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.065615: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.066602: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.131578: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.132539: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.212939: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.213906: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.282273: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.283269: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.364863: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.365818: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.436261: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.437242: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.504136: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.505120: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.596039: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.597025: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:49.758845: I tensorflow/dtensor/cc/dtensor_device.cc:1493] DTensor cache key lookup missed for __inference_train_620. DTensor is (re-)computing its SPMD transformation. 2023-03-23 04:57:49.766804: I tensorflow/dtensor/cc/dtensor_device.cc:1562] DTensor cache key lookup missed for __inference_train_620. DTensor is (re-)computing its ExecutionFunctions. 2023-03-23 04:57:49.958796: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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): 3.4s I0323 04:57:50.834989 281473478914944 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 3.4s [ OK ] DTensorDatasetTest.testIterOnBatchedDatasetGraph [ RUN ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) I0323 04:57:50.836853 281473478914944 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:50.837065 281473478914944 mesh_util.py:36] Number of global CPU devices: 16 I0323 04:57:50.837227 281473478914944 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0323 04:57:50.837737 281473478914944 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0323 04:57:50.837887 281473478914944 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'] 2023-03-23 04:57:51.136950: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:51.214104: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.215042: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.321219: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.322179: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.395937: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.396951: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.466866: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.467831: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.548245: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.549227: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.641578: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.642552: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.713963: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.714958: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.783327: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.784321: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.854007: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.854967: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.924253: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:51.925204: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.001055: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.002018: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.071315: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.072253: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.150172: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.151122: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.371303: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.372266: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.450290: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.451262: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.529868: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.530803: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:52.654937: I tensorflow/dtensor/cc/dtensor_device.cc:1493] DTensor cache key lookup missed for __inference_train_855. DTensor is (re-)computing its SPMD transformation. 2023-03-23 04:57:52.663082: I tensorflow/dtensor/cc/dtensor_device.cc:1562] DTensor cache key lookup missed for __inference_train_855. DTensor is (re-)computing its ExecutionFunctions. 2023-03-23 04:57:52.842646: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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)): 2.73s I0323 04:57:53.563757 281473478914944 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 2.73s [ 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) I0323 04:57:53.565289 281473478914944 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:53.565448 281473478914944 mesh_util.py:36] Number of global CPU devices: 16 I0323 04:57:53.565605 281473478914944 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3]] [[ 4 5] [ 6 7]] [[ 8 9] [10 11]] [[12 13] [14 15]]] I0323 04:57:53.566062 281473478914944 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0323 04:57:53.566239 281473478914944 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'] 2023-03-23 04:57:53.765691: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:53.825518: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:53.826557: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:53.895177: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:53.896095: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:53.968100: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:53.969082: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.036747: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.037707: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.582812: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.583764: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.652568: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.653513: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.836757: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.837729: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.907504: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.908513: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.976967: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:54.977967: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.046772: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.047763: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.122474: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.123433: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.193691: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.194655: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.373502: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.374457: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.535416: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.536372: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.601946: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.602875: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.667438: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.668377: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:55.741786: I tensorflow/dtensor/cc/dtensor_device.cc:1493] DTensor cache key lookup missed for __inference_train_1094. DTensor is (re-)computing its SPMD transformation. 2023-03-23 04:57:55.749350: I tensorflow/dtensor/cc/dtensor_device.cc:1562] DTensor cache key lookup missed for __inference_train_1094. DTensor is (re-)computing its ExecutionFunctions. 2023-03-23 04:57:55.909496: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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)): 3.13s I0323 04:57:56.696604 281473478914944 test_util.py:2467] time(__main__.DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True)): 3.13s [ OK ] DTensorDatasetTest.testIterWithLayouts7 (images_sharding=['unsharded', 'width', 'height', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True) [ RUN ] DTensorIteratorSpecTest.testFromTensorList I0323 04:57:56.698144 281473478914944 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:56.698330 281473478914944 mesh_util.py:36] Number of global CPU devices: 8 I0323 04:57:56.698487 281473478914944 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7] I0323 04:57:56.698847 281473478914944 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7] I0323 04:57:56.698988 281473478914944 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'] 2023-03-23 04:57:56.893165: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization 2023-03-23 04:57:56.936093: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:56.936885: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.012502: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.013279: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.075278: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.076092: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.135233: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.136061: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.208403: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.209209: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.271234: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.272063: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.360435: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.361270: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.422708: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]] 2023-03-23 04:57:57.423556: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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 I0323 04:57:57.745057 281473478914944 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]) I0323 04:57:57.747410 281473478914944 mesh_util.py:35] This is client 0 of 1 clients I0323 04:57:57.747612 281473478914944 mesh_util.py:36] Number of global CPU devices: 16 I0323 04:57:57.747770 281473478914944 mesh_util.py:39] Global device IDs: [[[ 0 1] [ 2 3] [ 4 5] [ 6 7]] [[ 8 9] [10 11] [12 13] [14 15]]] I0323 04:57:57.748237 281473478914944 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] I0323 04:57:57.748411 281473478914944 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 I0323 04:57:57.749109 281473478914944 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 303, in assertDTensorEqual unpacked = [t.numpy() for t in api.unpack(result_dtensor)] File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/api.py", line 352, in unpack return _dtensor_device().unpack(tensor) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/dtensor_device.py", line 250, in unpack tensors = _pywrap_dtensor_device.Unpack( ValueError: cannot create std::vector larger than max_size() ---------------------------------------------------------------------- Ran 6 tests in 13.057s FAILED (errors=1) ================================================================================ ==================== Test output for //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test (shard 2 of 17): 2023-03-23 04:57:54.374639: 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 3.10.10: /usr/local/bin/python3 [ RUN ] SnapshotFtTest.testLargeMultiSourceSnapshotRecoversAndCompletes_test_mode_eager_tfapiversion_2 2023-03-23 04:57:59.610137: 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/efbab71aa75682c5a19f95e912086183yx1rhrur/tmpso6j20cp/tf_data_dispatcher_journal 2023-03-23 04:57:59.610215: I tensorflow/core/data/service/dispatcher_impl.cc:231] No journal found. Starting dispatcher from new state. 2023-03-23 04:57:59.610481: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data DispatchServer running at 0.0.0.0:41043 2023-03-23 04:57:59.612637: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:41043 2023-03-23 04:57:59.612843: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:34523 2023-03-23 04:57:59.614606: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:41043 2023-03-23 04:57:59.614834: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:41661 2023-03-23 04:57:59.616642: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:41043 2023-03-23 04:57:59.616839: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:36253 2023-03-23 04:57:59.618799: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:41043 2023-03-23 04:57:59.619012: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:43489 2023-03-23 04:57:59.620769: I tensorflow/core/data/service/worker_impl.cc:183] Worker registered with dispatcher running at localhost:41043 2023-03-23 04:57:59.620966: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:43021 2023-03-23 04:57:59.914110: I tensorflow/core/data/service/server_lib.cc:94] Shut down DispatchServer server running at port 41043 2023-03-23 04:57:59.914911: 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/efbab71aa75682c5a19f95e912086183yx1rhrur/tmpso6j20cp/tf_data_dispatcher_journal 2023-03-23 04:58:00.054907: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:86] Writing distributed tf.data snapshot stream: SnapshotWriterParams { base_path: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/efbab71aa75682c5a19f95e912086183yx1rhrur/tmppykukgu1/tmp1of2hv_0/snapshot_ft_test, stream: 4, compression: SNAPPY } 2023-03-23 04:58:00.055445: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:140] Writing distributed tf.data snapshot stream 4, chunk 0. 2023-03-23 04:58:00.062697: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:86] Writing distributed tf.data snapshot stream: SnapshotWriterParams { base_path: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/efbab71aa75682c5a19f95e912086183yx1rhrur/tmppykukgu1/tmp1of2hv_0/snapshot_ft_test, stream: 3, compression: SNAPPY } 2023-03-23 04:58:00.063189: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:140] Writing distributed tf.data snapshot stream 3, chunk 0. 2023-03-23 04:58:00.068988: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:86] Writing distributed tf.data snapshot stream: SnapshotWriterParams { base_path: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/efbab71aa75682c5a19f95e912086183yx1rhrur/tmppykukgu1/tmp1of2hv_0/snapshot_ft_test, stream: 2, compression: SNAPPY } 2023-03-23 04:58:00.069485: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:140] Writing distributed tf.data snapshot stream 2, chunk 0. 2023-03-23 04:58:00.078592: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data DispatchServer running at 0.0.0.0:41043 2023-03-23 04:58:02.136710: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:104] Finished writing distributed tf.data snapshot stream: SnapshotWriterParams { base_path: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/efbab71aa75682c5a19f95e912086183yx1rhrur/tmppykukgu1/tmp1of2hv_0/snapshot_ft_test, stream: 2, compression: SNAPPY } 2023-03-23 04:58:02.137020: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:104] Finished writing distributed tf.data snapshot stream: SnapshotWriterParams { base_path: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/efbab71aa75682c5a19f95e912086183yx1rhrur/tmppykukgu1/tmp1of2hv_0/snapshot_ft_test, stream: 4, compression: SNAPPY } 2023-03-23 04:58:02.166231: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:104] Finished writing distributed tf.data snapshot stream: SnapshotWriterParams { base_path: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/efbab71aa75682c5a19f95e912086183yx1rhrur/tmppykukgu1/tmp1of2hv_0/snapshot_ft_test, stream: 3, compression: SNAPPY } 2023-03-23 05:08:00.135565: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:86] Writing distributed tf.data snapshot stream: SnapshotWriterParams { base_path: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/efbab71aa75682c5a19f95e912086183yx1rhrur/tmppykukgu1/tmp1of2hv_0/snapshot_ft_test, stream: 0, compression: SNAPPY } 2023-03-23 05:08:00.136190: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:140] Writing distributed tf.data snapshot stream 0, chunk 0. 2023-03-23 05:08:00.157980: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:104] Finished writing distributed tf.data snapshot stream: SnapshotWriterParams { base_path: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/efbab71aa75682c5a19f95e912086183yx1rhrur/tmppykukgu1/tmp1of2hv_0/snapshot_ft_test, stream: 0, compression: SNAPPY } 2023-03-23 05:08:00.181902: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:86] Writing distributed tf.data snapshot stream: SnapshotWriterParams { base_path: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/efbab71aa75682c5a19f95e912086183yx1rhrur/tmppykukgu1/tmp1of2hv_0/snapshot_ft_test, stream: 1, compression: SNAPPY } 2023-03-23 05:08:00.182402: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:140] Writing distributed tf.data snapshot stream 1, chunk 0. 2023-03-23 05:08:00.184423: I tensorflow/core/data/service/snapshot/snapshot_stream_writer.cc:104] Finished writing distributed tf.data snapshot stream: SnapshotWriterParams { base_path: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/efbab71aa75682c5a19f95e912086183yx1rhrur/tmppykukgu1/tmp1of2hv_0/snapshot_ft_test, stream: 1, compression: SNAPPY } 2023-03-23 05:08:00.282894: I tensorflow/core/data/service/snapshot/snapshot_manager.cc:263] Finished writing tf.data distributed snapshot at /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/efbab71aa75682c5a19f95e912086183yx1rhrur/tmppykukgu1/tmp1of2hv_0/snapshot_ft_test 2023-03-23 05:08:00.378342: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 43021 2023-03-23 05:08:00.379304: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 43489 2023-03-23 05:08:00.380044: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 36253 -- Test timed out at 2023-03-23 05:12:53 UTC -- Current thread 0x0000ffffafde7380 (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/distributed_save_ft_test.runfiles/org_tensorflow/tensorflow/python/data/experimental/service/server_lib.py", line 446 in _stop File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/distributed_save_ft_test.runfiles/org_tensorflow/tensorflow/python/data/experimental/service/server_lib.py", line 449 in __del__ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/distributed_save_ft_test.runfiles/org_tensorflow/tensorflow/python/data/experimental/kernel_tests/service/test_base.py", line 251 in __del__ File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/distributed_save_ft_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/distributed_save_ft_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/distributed_save_ft_test.runfiles/absl_py/absl/testing/parameterized.py", line 314 in bound_param_test File "/usr/lib/python3.10/unittest/case.py", line 549 in _callTestMethod File "/usr/lib/python3.10/unittest/case.py", line 591 in run File "/usr/lib/python3.10/unittest/case.py", line 650 in __call__ File "/usr/lib/python3.10/unittest/suite.py", line 122 in run File "/usr/lib/python3.10/unittest/suite.py", line 84 in __call__ File "/usr/lib/python3.10/unittest/suite.py", line 122 in run File "/usr/lib/python3.10/unittest/suite.py", line 84 in __call__ File "/usr/lib/python3.10/unittest/runner.py", line 184 in run File "/usr/lib/python3.10/unittest/main.py", line 271 in runTests File "/usr/lib/python3.10/unittest/main.py", line 101 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/distributed_save_ft_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/distributed_save_ft_test.runfiles/absl_py/absl/testing/absltest.py", line 2568 in run_tests File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/distributed_save_ft_test.runfiles/absl_py/absl/testing/absltest.py", line 2156 in _run_in_app File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/distributed_save_ft_test.runfiles/absl_py/absl/testing/absltest.py", line 2049 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/distributed_save_ft_test.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 51 in g_main File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/distributed_save_ft_test.runfiles/absl_py/absl/app.py", line 258 in _run_main File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/distributed_save_ft_test.runfiles/absl_py/absl/app.py", line 312 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/distributed_save_ft_test.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60 in main_wrapper File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/data/experimental/kernel_tests/service/distributed_save_ft_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/distributed_save_ft_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/distributed_save_ft_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/distributed_save_ft_test.runfiles/org_tensorflow/tensorflow/python/data/experimental/kernel_tests/service/distributed_save_ft_test.py", line 236 in ================================================================================ ==================== Test output for //tensorflow/python/distribute:input_lib_test_2gpu (shard 2 of 10): 2023-03-23 05:04:11.215633: 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 3.10.10: /usr/local/bin/python3 [ RUN ] DistributedIteratorPerDeviceTest.testDevicePlacementForInvalidCombinations_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1') I0323 05:04:17.357233 281472973632384 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1') WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/input_lib_test.py:1710: StrategyBase.experimental_distribute_datasets_from_function (from tensorflow.python.distribute.distribute_lib) is deprecated and will be removed in a future version. Instructions for updating: rename to distribute_datasets_from_function W0323 05:04:17.469653 281472973632384 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/input_lib_test.py:1710: StrategyBase.experimental_distribute_datasets_from_function (from tensorflow.python.distribute.distribute_lib) is deprecated and will be removed in a future version. Instructions for updating: rename to distribute_datasets_from_function INFO:tensorflow:time(__main__.DistributedIteratorPerDeviceTest.testDevicePlacementForInvalidCombinations_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager): 0.14s I0323 05:04:17.470491 281472973632384 test_util.py:2467] time(__main__.DistributedIteratorPerDeviceTest.testDevicePlacementForInvalidCombinations_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager): 0.14s [ OK ] DistributedIteratorPerDeviceTest.testDevicePlacementForInvalidCombinations_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager [ RUN ] DistributedIteratorPerDeviceTest.testDevicePlacementForPerWorkerValuesWithPrefetch_test_distribution_Mirrored2GPUsNoMergeCall_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager INFO:tensorflow:time(__main__.DistributedIteratorPerDeviceTest.testDevicePlacementForPerWorkerValuesWithPrefetch_test_distribution_Mirrored2GPUsNoMergeCall_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager): 0.0s I0323 05:04:17.471632 281472973632384 test_util.py:2467] time(__main__.DistributedIteratorPerDeviceTest.testDevicePlacementForPerWorkerValuesWithPrefetch_test_distribution_Mirrored2GPUsNoMergeCall_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager): 0.0s [ SKIPPED ] DistributedIteratorPerDeviceTest.testDevicePlacementForPerWorkerValuesWithPrefetch_test_distribution_Mirrored2GPUsNoMergeCall_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager [ RUN ] DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1') I0323 05:04:17.472936 281472973632384 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1') 2023-03-23 05:04:17.504741: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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 int64 and shape [9] [[{{node Placeholder/_0}}]] 2023-03-23 05:04:17.518391: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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 int64 and shape [9] [[{{node Placeholder/_0}}]] INFO:tensorflow:time(__main__.DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager): 0.11s I0323 05:04:17.582319 281472973632384 test_util.py:2467] time(__main__.DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager): 0.11s [ OK ] DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager [ RUN ] DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager INFO:tensorflow:time(__main__.DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager): 0.0s I0323 05:04:17.584134 281472973632384 test_util.py:2467] time(__main__.DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager): 0.0s [ SKIPPED ] DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager [ RUN ] DistributedIteratorPerDeviceTest.testPrefetchBufferSizeInputOptions_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize2_mode_eager INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1') I0323 05:04:17.585670 281472973632384 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1') 2023-03-23 05:04:17.611385: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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 int64 and shape [2,5] [[{{node Placeholder/_0}}]] 2023-03-23 05:04:17.766854: W tensorflow/core/framework/dataset.cc:808] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations. 2023-03-23 05:04:17.767564: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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 variant [[{{node Placeholder/_0}}]] 2023-03-23 05:04:17.815829: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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 variant [[{{node Placeholder/_0}}]] 2023-03-23 05:04:18.127107: I tensorflow/core/common_runtime/executor.cc:1210] [/job:localhost/replica:0/task:0/device:CPU:1] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): CANCELLED: Function was cancelled before it was started [[{{node RemoteCall}}]] INFO:tensorflow:time(__main__.DistributedIteratorPerDeviceTest.testPrefetchBufferSizeInputOptions_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize2_mode_eager): 0.58s I0323 05:04:18.166849 281472973632384 test_util.py:2467] time(__main__.DistributedIteratorPerDeviceTest.testPrefetchBufferSizeInputOptions_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize2_mode_eager): 0.58s [ OK ] DistributedIteratorPerDeviceTest.testPrefetchBufferSizeInputOptions_test_distribution_Mirrored2CPUs_inputoptions_InputOptionsexperimentalfetchtodeviceTrueexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize2_mode_eager [ RUN ] DistributedIteratorTensorTypeTest.testMWMSPartialBatchWithLegacyRebatch_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_forloop_mode_eager INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testMWMSPartialBatchWithLegacyRebatch_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s I0323 05:04:18.169687 281472973632384 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testMWMSPartialBatchWithLegacyRebatch_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s [ SKIPPED ] DistributedIteratorTensorTypeTest.testMWMSPartialBatchWithLegacyRebatch_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_forloop_mode_eager [ RUN ] DistributedIteratorTensorTypeTest.testMWMSPartialBatch_test_apitype_wrapintoiterator_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_forloop_mode_eager INFO:tensorflow:Using local port 24940 I0323 05:04:18.172775 281472973632384 test_util.py:3799] Using local port 24940 INFO:tensorflow:Using local port 23331 I0323 05:04:18.173225 281472973632384 test_util.py:3799] Using local port 23331 W0323 05:04:18.173678 281472973632384 context.py:757] Configuring coordination service type may not be effective because the context is already initialized. WARNING:tensorflow:Collective ops is not configured at program startup. Some performance features may not be enabled. W0323 05:04:18.173936 281472973632384 collective_all_reduce_strategy.py:395] Collective ops is not configured at program startup. Some performance features may not be enabled. INFO:tensorflow:Using MirroredStrategy with devices ('/device:CPU:0',) I0323 05:04:18.180271 281472973632384 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/device:CPU:0',) INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO I0323 05:04:18.180528 281472973632384 collective_all_reduce_strategy.py:447] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO 2023-03-23 05:04:19.166644: 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`. 2023-03-23 05:04:20.303920: 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`. [chief-0]: I0323 05:04:22.707001 281472952398720 multi_process_runner.py:840] Subprocess with PID 1537330 (chief, 0) is now being started. [chief-0]: I0323 05:04:22.707345 281472952398720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"chief": ["localhost:24940"], "worker": ["localhost:23331"]}, "task": {"type": "chief", "index": 0}, "rpc_layer": "grpc"}' I0323 05:04:22.727244 281472973632384 multi_process_runner.py:989] Waiting for the result from chief-0 [worker-0]: I0323 05:04:22.743152 281472952398720 multi_process_runner.py:840] Subprocess with PID 1537382 (worker, 0) is now being started. [worker-0]: I0323 05:04:22.743493 281472952398720 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"chief": ["localhost:24940"], "worker": ["localhost:23331"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [chief-0]: 2023-03-23 05:04:22.744755: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:24940 [chief-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:chief/replica:0/task:0/device:CPU:0', '/job:chief/replica:0/task:0/device:CPU:1'] [chief-0]: I0323 05:04:22.817270 281472952398720 collective_all_reduce_strategy.py:532] Enabled multi-worker collective ops with available devices: ['/job:chief/replica:0/task:0/device:CPU:0', '/job:chief/replica:0/task:0/device:CPU:1'] [worker-0]: E0323 05:04:22.838397349 1537382 server_chttp2.cc:40] {"created":"@1679547862.838278651","description":"No address added out of total 1 resolved","file":"external/com_github_grpc_grpc/src/core/ext/transport/chttp2/server/chttp2_server.cc","file_line":395,"referenced_errors":[{"created":"@1679547862.838272631","description":"Failed to add any wildcard listeners","file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_posix.cc","file_line":341,"referenced_errors":[{"created":"@1679547862.838244533","description":"Unable to configure socket","fd":9,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":215,"referenced_errors":[{"created":"@1679547862.838233047","description":"Address already in use","errno":98,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":189,"os_error":"Address already in use","syscall":"bind"}]},{"created":"@1679547862.838271626","description":"Unable to configure socket","fd":9,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":215,"referenced_errors":[{"created":"@1679547862.838265075","description":"Address already in use","errno":98,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":189,"os_error":"Address already in use","syscall":"bind"}]}]}]} [worker-0]: 2023-03-23 05:04:22.838527: E tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:601] UNKNOWN: Could not start gRPC server [worker-0]: 2023-03-23 05:04:22.839083: E tensorflow/core/common_runtime/eager/context_distributed_manager.cc:699] Could not start gRPC server [worker-0]: Process _Process-4: [worker-0]: Traceback (most recent call last): [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/strategy_combinations.py", line 208, in skip_if_cannot_start_grpc_server [worker-0]: return _create_multi_worker_mirrored() [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/strategy_combinations.py", line 190, in _create_multi_worker_mirrored [worker-0]: strategy = CollectiveAllReduceStrategy(cluster_resolver=resolver) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 188, in __init__ [worker-0]: CollectiveAllReduceExtended( [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 340, in __init__ [worker-0]: self._initialize_strategy(self._cluster_resolver, devices=devices) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 359, in _initialize_strategy [worker-0]: self._initialize_multi_worker(cluster_resolver) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 531, in _initialize_multi_worker [worker-0]: context.context().ensure_initialized() [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/eager/context.py", line 595, in ensure_initialized [worker-0]: pywrap_tfe.TFE_EnableCollectiveOps(context_handle, server_def_str) [worker-0]: tensorflow.python.framework.errors_impl.UnknownError: Could not start gRPC server [worker-0]: [worker-0]: During handling of the above exception, another exception occurred: [worker-0]: [worker-0]: Traceback (most recent call last): [worker-0]: File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap [worker-0]: self.run() [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755, in _run_with_setenv [worker-0]: return self._actual_run() [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in _run_with_absl [worker-0]: app.run(lambda _: self._run_impl()) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/absl_py/absl/app.py", line 312, in run [worker-0]: _run_main(main, args) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/absl_py/absl/app.py", line 258, in _run_main [worker-0]: sys.exit(main(argv)) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in [worker-0]: app.run(lambda _: self._run_impl()) [worker-0]: File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run [worker-0]: self._target(*self._args, **self._kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 866, in __call__ [worker-0]: six.reraise(*info.exc_info) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/six_archive/six.py", line 719, in reraise [worker-0]: raise value [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained [worker-0]: return_value = fn(*args, **kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1026, in _pool_runner_worker [worker-0]: initializer() [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/strategy_combinations.py", line 212, in skip_if_cannot_start_grpc_server [worker-0]: raise unittest.SkipTest("Cannot start std servers.") [worker-0]: unittest.case.SkipTest: Cannot start std servers. [chief-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:chief/task:0/device:CPU:0',) [chief-0]: I0323 05:04:22.885451 281472952398720 mirrored_strategy.py:420] Using MirroredStrategy with devices ('/job:chief/task:0/device:CPU:0',) [chief-0]: INFO:tensorflow:Check health not enabled. [chief-0]: I0323 05:04:22.885792 281472952398720 collective_all_reduce_strategy.py:575] Check health not enabled. [chief-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'chief': ['localhost:24940'], 'worker': ['localhost:23331']}, task_type = 'chief', task_id = 0, num_workers = 2, local_devices = ('/job:chief/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [chief-0]: I0323 05:04:22.885967 281472952398720 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'chief': ['localhost:24940'], 'worker': ['localhost:23331']}, task_type = 'chief', task_id = 0, num_workers = 2, local_devices = ('/job:chief/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO -- Test timed out at 2023-03-23 05:19:09 UTC -- Thread 0x0000fff9f4f9f1e0 (most recent call first): File 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"/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/absl_py/absl/app.py", line 312 in run 343 in execute_test_method[chief-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54 in _run_with_absl File "[chief-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755 in _run_with_setenv 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"/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 151 in _if_spawn_run_and_exit File "/usr/lib/python3.10/unittest/case.py[chief-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 164 in test_main ", line 549[chief-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1455 in test_main in _callTestMethod [chief-0]: File 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"/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/platform/googletest.py", line 60 in main_wrapper File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.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/distribute/input_lib_test_2gpu.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/distribute/input_lib_test_2gpu.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/distribute/input_lib_test_2gpu.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/distribute/input_lib_test_2gpu.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/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1455 in test_main File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/test_util.py", line 138 in main File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_2gpu.runfiles/org_tensorflow/tensorflow/python/distribute/input_lib_test.py", line 2017 in ================================================================================ //tensorflow/c:c_api_experimental_test PASSED in 34.0s //tensorflow/c:c_api_function_test 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//tensorflow/c/experimental/grappler:grappler_test PASSED in 28.7s //tensorflow/c/experimental/ops/gen/common:case_format_test PASSED in 0.5s //tensorflow/c/experimental/ops/gen/cpp:cpp_generator_test PASSED in 0.8s //tensorflow/c/experimental/ops/gen/cpp/renderers:renderer_test PASSED in 0.6s //tensorflow/c/experimental/saved_model/core:constant_loading_test PASSED in 18.3s //tensorflow/c/experimental/saved_model/core:object_graph_traversal_test PASSED in 13.3s //tensorflow/c/experimental/saved_model/core:saved_variable_loading_test PASSED in 21.0s //tensorflow/c/experimental/saved_model/core:signature_flattening_test PASSED in 14.1s //tensorflow/c/experimental/saved_model/core:tf_concrete_function_loading_test PASSED in 14.3s //tensorflow/c/experimental/saved_model/core/ops:restore_ops_test PASSED in 14.4s //tensorflow/c/experimental/saved_model/core/ops:variable_ops_test PASSED in 16.0s //tensorflow/c/experimental/saved_model/internal:saved_model_api_test PASSED in 31.8s 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//tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:invalid_input.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:legalized_name.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:missing-main.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:noop.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:optional_symbol_ref.mlir.test PASSED in 1.0s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:output-shapes-attr.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:parse_example.mlir.test PASSED in 1.2s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:parse_example_v2.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:preserve-entry-func-names.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:ref-type-attr.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:ref-while-loop.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:shape_list_attr.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:simple.mlir.test PASSED in 1.1s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:simple_tf_dialect_op.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:stringescape.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:switchn.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:tf-gradient-attr.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:tf-legacy-call.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:tf_add.mlir.test PASSED in 1.2s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:tf_identity_n.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:tf_tpu_embedding_ops.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:type_attr.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:type_list_attr.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:unique_name.mlir.test PASSED in 1.4s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:unique_output_name.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef:while-loop.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tensorflow/tests/tf_to_hlo_pipeline:sccp-post-shape-inference.mlir.test PASSED in 2.0s //tensorflow/compiler/mlir/tensorflow/tests/tpu_bridge_v1:end_to_end.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tf2xla:compile_mlir_util_test PASSED in 6.2s //tensorflow/compiler/mlir/tf2xla:tf2xla_rewriter_test PASSED in 5.8s //tensorflow/compiler/mlir/tf2xla:verify_tfxla_legalization_test PASSED in 4.4s //tensorflow/compiler/mlir/tf2xla:xla_legalize_targets_test PASSED in 0.7s //tensorflow/compiler/mlir/tf2xla/api/v1:legalize_tf_test PASSED in 0.8s //tensorflow/compiler/mlir/tf2xla/tests:adjust-layout.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tf2xla/tests:convert-mhlo-quant-to-int.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tf2xla/tests:hlo_xla_runtime_pipeline.mlir.test PASSED in 1.0s //tensorflow/compiler/mlir/tf2xla/tests:hlo_xla_sparsification.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-BatchMatMulV2.mlir.test PASSED in 1.1s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-binary-elementwise.mlir.test PASSED in 1.0s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-collective.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-communication.mlir.test PASSED in 1.0s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-include-tf2xla-fallback.mlir.test PASSED in 1.0s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-no-tf2xla-fallback.mlir.test PASSED in 5.6s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-prefer-tf2xla.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-types.mlir.test PASSED in 1.5s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf-with-tf2xla.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tf2xla/tests:legalize-tf.mlir.test PASSED in 10.6s //tensorflow/compiler/mlir/tf2xla/tests:tfxla_device_specific_transformations_cpu.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tf2xla/tests:tfxla_device_specific_transformations_gpu.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tf2xla/tests:verify-tfxla-legalization-no-chlo.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tf2xla/tests:verify-tfxla-legalization.mlir.test PASSED in 1.3s //tensorflow/compiler/mlir/tfr:graph_decompose_test PASSED in 10.4s //tensorflow/compiler/mlir/tfr:node_expansion_test PASSED in 9.9s //tensorflow/compiler/mlir/tfr:op_reg_gen_test PASSED in 13.7s //tensorflow/compiler/mlir/tfr:tfr_decompose_ctx_test PASSED in 4.3s //tensorflow/compiler/mlir/tfr:tfr_gen_test PASSED in 18.0s //tensorflow/compiler/mlir/tfr/examples/customization:test_ops_test PASSED in 14.8s //tensorflow/compiler/mlir/tfr/examples/pad:pad_ops_test PASSED in 22.0s //tensorflow/compiler/mlir/tools/kernel_gen/tests:buffer_deallocation.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:buffer_reuse.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:bufferize.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:copy_cleanup.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:embed_tf_framework.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:invalid.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tools/kernel_gen/tests:isinf.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:ops.mlir.test PASSED in 1.0s //tensorflow/compiler/mlir/tools/kernel_gen/tests:parallel_loops_to_sequential.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tools/kernel_gen/tests:rewrite_tf_framework_assert.mlir.test PASSED in 0.4s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tanh.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf-legalize-to-lmhlo.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_abi_knowledge.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_framework_legalize_to_llvm.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_kernel_gpu_launch_to_llvm.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_to_jit_invocations.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tosa/tests:convert-tfl-uint8.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tosa/tests:fuse-bias-tf.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tosa/tests:lower-complex-types.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tosa/tests:strip-quant-types.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tosa/tests:tf-tfl-to-tosa-pipeline.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tosa/tests:tf-to-tosa-pipeline.mlir.test PASSED in 1.6s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-dequantize_softmax.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-pipeline-filtered.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-pipeline.mlir.test PASSED in 6.0s //tensorflow/compiler/tests:adadelta_test_cpu PASSED in 12.1s //tensorflow/compiler/tests:adagrad_da_test_cpu PASSED in 13.3s //tensorflow/compiler/tests:adagrad_test_cpu PASSED in 8.7s //tensorflow/compiler/tests:adam_test_cpu PASSED in 14.0s //tensorflow/compiler/tests:add_n_test_cpu PASSED in 7.3s //tensorflow/compiler/tests:argminmax_test_cpu PASSED in 38.3s //tensorflow/compiler/tests:argminmax_test_cpu_mlir_bridge_test PASSED in 15.8s //tensorflow/compiler/tests:bucketize_op_test_cpu PASSED in 12.2s //tensorflow/compiler/tests:bucketize_op_test_cpu_mlir_bridge_test PASSED in 7.1s //tensorflow/compiler/tests:case_test_cpu PASSED in 9.9s //tensorflow/compiler/tests:cast_ops_test_cpu PASSED in 8.5s //tensorflow/compiler/tests:cast_ops_test_cpu_mlir_bridge_test PASSED in 8.6s //tensorflow/compiler/tests:categorical_op_test_cpu PASSED in 16.8s //tensorflow/compiler/tests:categorical_op_test_cpu_mlir_bridge_test PASSED in 11.5s //tensorflow/compiler/tests:cholesky_op_test_cpu PASSED in 17.4s //tensorflow/compiler/tests:cholesky_op_test_cpu_mlir_bridge_test PASSED in 15.9s //tensorflow/compiler/tests:clustering_test_cpu PASSED in 6.4s //tensorflow/compiler/tests:clustering_test_cpu_mlir_bridge_test PASSED in 8.0s //tensorflow/compiler/tests:concat_ops_test_cpu PASSED in 13.2s //tensorflow/compiler/tests:concat_ops_test_cpu_mlir_bridge_test PASSED in 8.3s //tensorflow/compiler/tests:cond_test_cpu PASSED in 7.5s //tensorflow/compiler/tests:const_arg_test_cpu PASSED in 8.9s //tensorflow/compiler/tests:const_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:data_format_ops_test_cpu PASSED in 11.3s //tensorflow/compiler/tests:data_format_ops_test_cpu_mlir_bridge_test PASSED in 11.6s //tensorflow/compiler/tests:dense_layer_test_cpu PASSED in 13.9s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu PASSED in 10.8s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu_mlir_bridge_test PASSED in 11.9s //tensorflow/compiler/tests:dynamic_stitch_test_cpu PASSED in 7.5s //tensorflow/compiler/tests:dynamic_stitch_test_cpu_mlir_bridge_test PASSED in 6.6s //tensorflow/compiler/tests:eager_test_cpu PASSED in 19.7s //tensorflow/compiler/tests:einsum_op_test_cpu PASSED in 8.1s //tensorflow/compiler/tests:einsum_op_test_cpu_mlir_bridge_test PASSED in 7.6s //tensorflow/compiler/tests:ensure_shape_op_test_cpu PASSED in 6.6s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu PASSED in 9.9s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu_mlir_bridge_test PASSED in 10.4s //tensorflow/compiler/tests:fake_quant_ops_test_cpu PASSED in 13.3s //tensorflow/compiler/tests:fake_quant_ops_test_cpu_mlir_bridge_test PASSED in 16.4s //tensorflow/compiler/tests:fifo_queue_test_cpu PASSED in 12.5s //tensorflow/compiler/tests:fifo_queue_test_cpu_mlir_bridge_test PASSED in 8.7s //tensorflow/compiler/tests:ftrl_ops_test_cpu PASSED in 18.7s //tensorflow/compiler/tests:ftrl_ops_test_cpu_mlir_bridge_test PASSED in 20.3s //tensorflow/compiler/tests:ftrl_test_cpu PASSED in 19.3s //tensorflow/compiler/tests:function_test_cpu PASSED in 7.1s //tensorflow/compiler/tests:function_test_cpu_mlir_bridge_test PASSED in 7.8s //tensorflow/compiler/tests:gather_nd_op_test_cpu PASSED in 8.9s //tensorflow/compiler/tests:gather_nd_op_test_cpu_mlir_bridge_test PASSED in 8.3s //tensorflow/compiler/tests:gather_test_cpu PASSED in 41.5s //tensorflow/compiler/tests:gather_test_cpu_mlir_bridge_test PASSED in 52.4s //tensorflow/compiler/tests:jit_test_cpu PASSED in 54.2s //tensorflow/compiler/tests:listdiff_op_test_cpu PASSED in 13.1s //tensorflow/compiler/tests:listdiff_op_test_cpu_mlir_bridge_test PASSED in 13.4s //tensorflow/compiler/tests:lrn_ops_test_cpu PASSED in 6.9s //tensorflow/compiler/tests:lrn_ops_test_cpu_mlir_bridge_test PASSED in 8.4s //tensorflow/compiler/tests:lstm_test_cpu PASSED in 25.7s //tensorflow/compiler/tests:manip_ops_test_cpu PASSED in 9.2s //tensorflow/compiler/tests:manip_ops_test_cpu_mlir_bridge_test PASSED in 11.8s //tensorflow/compiler/tests:matrix_band_part_test_cpu PASSED in 42.6s //tensorflow/compiler/tests:matrix_band_part_test_cpu_mlir_bridge_test PASSED in 40.2s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu PASSED in 21.3s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu_mlir_bridge_test PASSED in 16.6s //tensorflow/compiler/tests:matrix_solve_op_test_cpu PASSED in 9.4s //tensorflow/compiler/tests:matrix_solve_op_test_cpu_mlir_bridge_test PASSED in 8.9s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu PASSED in 21.7s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu_mlir_bridge_test PASSED in 26.3s //tensorflow/compiler/tests:momentum_test_cpu PASSED in 11.8s //tensorflow/compiler/tests:nary_ops_test_cpu PASSED in 8.3s //tensorflow/compiler/tests:nary_ops_test_cpu_mlir_bridge_test PASSED in 11.8s //tensorflow/compiler/tests:nullary_ops_test_cpu PASSED in 10.9s //tensorflow/compiler/tests:nullary_ops_test_cpu_mlir_bridge_test PASSED in 7.7s //tensorflow/compiler/tests:placeholder_test_cpu PASSED in 12.9s //tensorflow/compiler/tests:placeholder_test_cpu_mlir_bridge_test PASSED in 8.3s //tensorflow/compiler/tests:proximal_adagrad_test_cpu PASSED in 10.9s //tensorflow/compiler/tests:proximal_gradient_descent_test_cpu PASSED in 8.0s //tensorflow/compiler/tests:quantized_ops_test_cpu PASSED in 7.3s //tensorflow/compiler/tests:reduce_window_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:reduce_window_test_cpu_mlir_bridge_test PASSED in 7.2s //tensorflow/compiler/tests:reshape_op_test_cpu PASSED in 9.6s //tensorflow/compiler/tests:reshape_op_test_cpu_mlir_bridge_test PASSED in 8.8s //tensorflow/compiler/tests:reverse_ops_test_cpu PASSED in 11.4s //tensorflow/compiler/tests:reverse_ops_test_cpu_mlir_bridge_test PASSED in 11.1s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu_mlir_bridge_test PASSED in 9.9s //tensorflow/compiler/tests:risc_ops_test_cpu_mlir_bridge_test PASSED in 7.3s //tensorflow/compiler/tests:rmsprop_test_cpu PASSED in 10.7s //tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 22.4s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 25.1s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 8.5s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 11.0s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 24.0s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 28.6s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 17.4s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 17.7s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 15.3s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 24.1s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu PASSED in 9.0s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu_mlir_bridge_test PASSED in 7.6s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 9.9s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 9.5s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 13.9s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 16.8s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 12.1s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 18.3s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 7.0s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 25.8s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 15.7s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 7.5s //tensorflow/compiler/tests:while_test_cpu PASSED in 8.5s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 11.7s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 8.6s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 9.8s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 11.2s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 12.5s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 36.2s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 36.4s //tensorflow/compiler/tests:xla_test_test PASSED in 9.8s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 6.0s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.2s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 0.6s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 1.2s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 26.4s //tensorflow/compiler/tf2xla:graph_compiler_test PASSED in 5.2s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 1.1s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 7.7s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 2.6s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 0.5s 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//tensorflow/compiler/xla/service:hlo_dataflow_analysis_test PASSED in 1.4s //tensorflow/compiler/xla/service:hlo_dce_test PASSED in 1.4s //tensorflow/compiler/xla/service:hlo_domain_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_element_type_converter_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_execution_profile_test PASSED in 7.8s //tensorflow/compiler/xla/service:hlo_graph_dumper_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_input_output_alias_config_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_instruction_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_liveness_analysis_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_memory_scheduler_test PASSED in 1.3s //tensorflow/compiler/xla/service:hlo_module_dce_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_module_metadata_test PASSED in 0.3s //tensorflow/compiler/xla/service:hlo_module_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_opcode_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_ordering_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_parser_test PASSED in 0.5s //tensorflow/compiler/xla/service:hlo_pass_pipeline_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_phi_graph_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_proto_util_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_reachability_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_rematerialization_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_rematerialization_test_utils_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_replication_analysis_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_schedule_test PASSED in 0.7s //tensorflow/compiler/xla/service:hlo_sharding_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_verifier_test PASSED in 1.5s //tensorflow/compiler/xla/service:indexed_array_analysis_test PASSED in 1.5s //tensorflow/compiler/xla/service:instruction_fusion_test PASSED in 1.5s //tensorflow/compiler/xla/service:latency_hiding_scheduler_test PASSED in 0.9s //tensorflow/compiler/xla/service:layout_assignment_test PASSED in 5.1s //tensorflow/compiler/xla/service:layout_normalization_test PASSED in 1.8s //tensorflow/compiler/xla/service:logistic_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:loop_schedule_linearizer_test PASSED in 1.1s //tensorflow/compiler/xla/service:map_inliner_test PASSED in 1.3s //tensorflow/compiler/xla/service:mapped_ptr_container_sorter_test PASSED in 0.1s //tensorflow/compiler/xla/service:memory_space_assignment_best_fit_repacker_test PASSED in 0.2s //tensorflow/compiler/xla/service:memory_space_assignment_test PASSED in 2.7s //tensorflow/compiler/xla/service:memory_space_propagation_test PASSED in 1.0s //tensorflow/compiler/xla/service:name_uniquer_test PASSED in 0.2s //tensorflow/compiler/xla/service:operand_upcaster_test PASSED in 1.9s //tensorflow/compiler/xla/service:optimize_input_output_buffer_alias_test PASSED in 2.5s //tensorflow/compiler/xla/service:pattern_matcher_gmock_test PASSED in 0.2s //tensorflow/compiler/xla/service:pattern_matcher_test PASSED in 0.9s //tensorflow/compiler/xla/service:profile_guided_latency_estimator_test PASSED in 0.8s //tensorflow/compiler/xla/service:real_imag_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:reduce_decomposer_test PASSED in 1.0s //tensorflow/compiler/xla/service:reduce_scatter_combiner_test PASSED in 1.6s //tensorflow/compiler/xla/service:reduce_scatter_decomposer_test PASSED in 1.2s //tensorflow/compiler/xla/service:reduce_scatter_reassociate_test PASSED in 1.1s //tensorflow/compiler/xla/service:reshape_decomposer_test PASSED in 1.0s //tensorflow/compiler/xla/service:reshape_mover_test PASSED in 1.3s //tensorflow/compiler/xla/service:result_caster_test PASSED in 0.9s //tensorflow/compiler/xla/service:root_instruction_sinker_test PASSED in 1.5s //tensorflow/compiler/xla/service:scatter_expander_test PASSED in 1.5s //tensorflow/compiler/xla/service:scatter_simplifier_test PASSED in 1.4s //tensorflow/compiler/xla/service:select_and_scatter_expander_test PASSED in 1.2s //tensorflow/compiler/xla/service:shape_inference_test PASSED in 0.6s //tensorflow/compiler/xla/service:shaped_buffer_test PASSED in 7.7s //tensorflow/compiler/xla/service:sharding_propagation_test PASSED in 19.4s //tensorflow/compiler/xla/service:sharding_remover_test PASSED in 1.0s //tensorflow/compiler/xla/service:simplify_fp_conversions_test PASSED in 0.9s //tensorflow/compiler/xla/service:slice_sinker_test PASSED in 1.2s //tensorflow/compiler/xla/service:sort_simplifier_test PASSED in 16.4s //tensorflow/compiler/xla/service:space_to_batch_converter_test PASSED in 1.1s //tensorflow/compiler/xla/service:stable_sort_expander_test PASSED in 0.9s //tensorflow/compiler/xla/service:stochastic_convert_decomposer_test PASSED in 0.9s //tensorflow/compiler/xla/service:stream_pool_test PASSED in 0.3s //tensorflow/compiler/xla/service:topk_rewriter_test PASSED in 5.1s //tensorflow/compiler/xla/service:transpose_folding_test PASSED in 2.0s //tensorflow/compiler/xla/service:tuple_points_to_analysis_test PASSED in 1.1s //tensorflow/compiler/xla/service:tuple_simplifier_test PASSED in 16.5s //tensorflow/compiler/xla/service:tuple_util_test PASSED in 1.3s //tensorflow/compiler/xla/service:while_loop_all_reduce_code_motion_test PASSED in 2.5s //tensorflow/compiler/xla/service:while_loop_analysis_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_loop_concat_code_motion_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_loop_constant_sinking_test PASSED in 0.8s //tensorflow/compiler/xla/service:while_loop_expensive_invariant_code_motion_test PASSED in 1.3s //tensorflow/compiler/xla/service:while_loop_invariant_code_motion_test PASSED in 0.8s //tensorflow/compiler/xla/service:while_loop_simplifier_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_loop_trip_count_annotator_test PASSED in 1.5s //tensorflow/compiler/xla/service:while_util_test PASSED in 0.9s //tensorflow/compiler/xla/service:xla_aot_compile_stablehlo_cpu_test PASSED in 7.7s //tensorflow/compiler/xla/service:xla_debug_info_manager_test PASSED in 1.0s //tensorflow/compiler/xla/service:zero_sized_hlo_elimination_test PASSED in 0.7s //tensorflow/compiler/xla/service/cpu:conv_canonicalization_test PASSED in 1.2s //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 2.3s //tensorflow/compiler/xla/service/cpu:ir_emission_utils_test PASSED in 1.0s //tensorflow/compiler/xla/service/cpu:parallel_task_assignment_test PASSED in 4.6s //tensorflow/compiler/xla/service/cpu:runtime_fft_test PASSED in 0.4s //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 0.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_dyn_shape_test PASSED in 8.5s //tensorflow/compiler/xla/service/cpu/tests:cpu_eigen_dot_operation_test PASSED in 8.8s //tensorflow/compiler/xla/service/cpu/tests:cpu_external_constants_test PASSED in 24.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_fusion_test PASSED in 7.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_infeed_test PASSED in 7.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_intrinsic_test PASSED in 9.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_key_value_sort_test PASSED in 7.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_literal_caching_test PASSED in 7.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_noalias_test PASSED in 7.8s //tensorflow/compiler/xla/service/cpu/tests:cpu_outfeed_test PASSED in 8.1s //tensorflow/compiler/xla/service/cpu/tests:cpu_profiling_test PASSED in 10.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_spmd_compile_test PASSED in 7.1s //tensorflow/compiler/xla/service/cpu/tests:cpu_topk_test PASSED in 8.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_vectorization_test PASSED in 8.3s //tensorflow/compiler/xla/service/cpu/tests:cpu_while_test PASSED in 9.5s //tensorflow/compiler/xla/service/cpu/tests:tree_reduction_rewriter_test PASSED in 7.1s //tensorflow/compiler/xla/service/gpu:alias_passthrough_params_test PASSED in 1.1s //tensorflow/compiler/xla/service/gpu:all_reduce_blueconnect_test PASSED in 0.8s //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 1.9s //tensorflow/compiler/xla/service/gpu:cudnn_simplify_padding_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:cudnn_support_utils_test PASSED in 1.0s //tensorflow/compiler/xla/service/gpu:cudnn_vectorize_convolutions_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:fusion_merger_test PASSED in 2.1s //tensorflow/compiler/xla/service/gpu:gemm_rewriter_triton_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:gpu_conv_padding_legalization_test PASSED in 1.2s //tensorflow/compiler/xla/service/gpu:gpu_conv_rewriter_test PASSED in 1.2s //tensorflow/compiler/xla/service/gpu:gpu_fusible_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu:gpu_hlo_cost_analysis_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu:gpu_performance_model_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu:gpu_sanitize_constant_names_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:hlo_algorithm_denylist_test PASSED in 0.2s //tensorflow/compiler/xla/service/gpu:hlo_fusion_stats_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:instruction_fusion_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu:ir_emission_utils_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:matmul_utils_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:move_copy_to_users_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu:multi_output_fusion_test PASSED in 1.8s //tensorflow/compiler/xla/service/gpu:non_atomically_upgradeable_rw_lock_test PASSED in 0.1s //tensorflow/compiler/xla/service/gpu:reduction_splitter_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu:scatter_slice_simplifier_test PASSED in 1.1s //tensorflow/compiler/xla/service/gpu:target_util_test PASSED in 0.5s //tensorflow/compiler/xla/service/gpu:variadic_op_splitter_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:while_transformer_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu/llvm_gpu_backend:utils_test PASSED in 0.5s //tensorflow/compiler/xla/service/gpu/tests:gpu_reduce_scatter_creator_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu/tests:reduction_degenerate_dim_remover_test PASSED in 2.3s //tensorflow/compiler/xla/service/gpu/tests:reduction_dimension_grouper_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu/tests:tree_reduction_rewriter_test PASSED in 2.0s //tensorflow/compiler/xla/service/graphcycles:graphcycles_test PASSED in 1.2s //tensorflow/compiler/xla/service/graphcycles:ordered_set_test PASSED in 0.3s //tensorflow/compiler/xla/service/llvm_ir:alias_analysis_test PASSED in 7.3s //tensorflow/compiler/xla/service/llvm_ir:ir_array_test PASSED in 0.6s //tensorflow/compiler/xla/service/spmd:canonicalize_all_gather_for_cse_test PASSED in 1.2s //tensorflow/compiler/xla/service/spmd:collective_permute_motion_test PASSED in 0.8s //tensorflow/compiler/xla/service/spmd:partition_assignment_test PASSED in 1.1s //tensorflow/compiler/xla/service/spmd:schedule_aware_collective_ops_cse_test PASSED in 1.4s //tensorflow/compiler/xla/service/spmd:spmd_partitioner_test PASSED in 2.8s //tensorflow/compiler/xla/service/spmd:stateful_rng_spmd_partitioner_test PASSED in 0.9s //tensorflow/compiler/xla/stream_executor:dnn_test PASSED in 0.2s //tensorflow/compiler/xla/stream_executor:stream_test PASSED in 0.1s //tensorflow/compiler/xla/stream_executor/host:host_stream_test PASSED in 0.2s //tensorflow/compiler/xla/tests:all_reduce_test_cpu PASSED in 9.2s //tensorflow/compiler/xla/tests:axpy_simple_test_cpu PASSED in 8.7s //tensorflow/compiler/xla/tests:bad_rng_shape_validation_test_cpu PASSED in 9.3s //tensorflow/compiler/xla/tests:binop_scaling_test_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests:bitcast_convert_test_cpu PASSED in 7.8s //tensorflow/compiler/xla/tests:broadcast_simple_test_cpu PASSED in 25.7s //tensorflow/compiler/xla/tests:broadcast_test_cpu PASSED in 10.8s //tensorflow/compiler/xla/tests:buffer_donation_test_cpu PASSED in 10.2s //tensorflow/compiler/xla/tests:call_test_cpu PASSED in 9.7s //tensorflow/compiler/xla/tests:check_execution_arity_test_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests:cholesky_test_cpu PASSED in 16.6s //tensorflow/compiler/xla/tests:client_test_cpu PASSED in 10.4s //tensorflow/compiler/xla/tests:collective_ops_test_cpu PASSED in 29.0s //tensorflow/compiler/xla/tests:compilation_cache_test_cpu PASSED in 7.5s //tensorflow/compiler/xla/tests:compute_constant_test_cpu PASSED in 9.6s //tensorflow/compiler/xla/tests:concat_test_cpu PASSED in 12.2s //tensorflow/compiler/xla/tests:constant_reduction_function_test_cpu PASSED in 8.6s //tensorflow/compiler/xla/tests:constants_test_cpu PASSED in 9.2s //tensorflow/compiler/xla/tests:convert_test_cpu PASSED in 9.3s //tensorflow/compiler/xla/tests:copy_test_cpu PASSED in 11.2s //tensorflow/compiler/xla/tests:cpu_gpu_fusion_test_cpu PASSED in 11.1s //tensorflow/compiler/xla/tests:custom_call_test_cpu PASSED in 13.0s //tensorflow/compiler/xla/tests:deallocation_test_cpu PASSED in 10.3s //tensorflow/compiler/xla/tests:deconstruct_tuple_test_cpu PASSED in 9.6s //tensorflow/compiler/xla/tests:deep_graph_test_cpu PASSED in 7.3s //tensorflow/compiler/xla/tests:execution_profile_test_cpu PASSED in 9.9s //tensorflow/compiler/xla/tests:fft_test_cpu PASSED in 8.3s //tensorflow/compiler/xla/tests:float8_test_cpu PASSED in 10.2s //tensorflow/compiler/xla/tests:floor_ceil_test_cpu PASSED in 8.5s //tensorflow/compiler/xla/tests:fmax_fmin_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/tests:gather_operation_test_cpu PASSED in 14.7s //tensorflow/compiler/xla/tests:get_dimension_size_test_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests:half_test_cpu PASSED in 12.5s //tensorflow/compiler/xla/tests:hlo_metadata_test PASSED in 7.0s //tensorflow/compiler/xla/tests:literal_test_util_test PASSED in 5.0s //tensorflow/compiler/xla/tests:local_client_allocation_test_cpu PASSED in 9.2s //tensorflow/compiler/xla/tests:local_client_aot_test PASSED in 0.1s //tensorflow/compiler/xla/tests:log_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/tests:map_test_cpu PASSED in 9.4s //tensorflow/compiler/xla/tests:matrix_ops_simple_test_cpu PASSED in 16.4s //tensorflow/compiler/xla/tests:multidimensional_slice_test_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests:multiple_devices_on_host_test PASSED in 8.7s //tensorflow/compiler/xla/tests:multithreaded_compilation_test_cpu PASSED in 9.3s //tensorflow/compiler/xla/tests:outfeed_in_nested_computation_test_cpu PASSED in 7.2s //tensorflow/compiler/xla/tests:pad_test_cpu PASSED in 8.2s //tensorflow/compiler/xla/tests:pred_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/tests:query_inferred_shape_test_cpu PASSED in 8.5s //tensorflow/compiler/xla/tests:reduce_hlo_test_cpu PASSED in 11.0s //tensorflow/compiler/xla/tests:reduce_precision_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/tests:replay_test_cpu PASSED in 7.7s //tensorflow/compiler/xla/tests:reshape_motion_test_cpu PASSED in 9.0s //tensorflow/compiler/xla/tests:reverse_test_cpu PASSED in 7.3s //tensorflow/compiler/xla/tests:round_trip_packed_literal_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:round_trip_transfer_test_cpu PASSED in 24.0s //tensorflow/compiler/xla/tests:sample_text_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/tests:scatter_test_cpu PASSED in 16.7s //tensorflow/compiler/xla/tests:select_test_cpu PASSED in 9.6s //tensorflow/compiler/xla/tests:test_utils_test_cpu PASSED in 9.4s //tensorflow/compiler/xla/tests:token_hlo_test_cpu PASSED in 9.3s //tensorflow/compiler/xla/tests:transfer_manager_test_cpu PASSED in 14.9s //tensorflow/compiler/xla/tests:transpose_test_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests:tuple_test_cpu PASSED in 11.0s //tensorflow/compiler/xla/tests:unary_op_test_cpu PASSED in 7.8s //tensorflow/compiler/xla/tests:value_inference_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:vector_ops_reduce_test_cpu PASSED in 8.4s //tensorflow/compiler/xla/tests:vector_ops_simple_test_cpu PASSED in 8.3s //tensorflow/compiler/xla/tests:while_test_cpu PASSED in 10.9s //tensorflow/compiler/xla/tools:hlo_control_flow_flattening_test PASSED in 1.2s //tensorflow/compiler/xla/tools:hlo_extractor_test PASSED in 1.5s //tensorflow/compiler/xla/tools:hlo_module_loader_test PASSED in 0.9s //tensorflow/compiler/xla/tools:interactive_graphviz_bin_test PASSED in 0.4s //tensorflow/compiler/xla/tools:run_hlo_module_bin_test PASSED in 0.4s //tensorflow/compiler/xla/tools/hlo_bisect:hlo_bisect_state_test PASSED in 1.3s //tensorflow/compiler/xla/translate/hlo_to_mhlo:hlo_utils_test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo:mlir_hlo_builder_test PASSED in 0.9s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:bool_compare.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:case_conditional.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:dynamic_param.hlo.test PASSED in 0.8s //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 1.1s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fully_connected_reference_model.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fusion.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:if_conditional.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import_async.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:layouts_and_names.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:location.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:module_attributes.hlo.test PASSED in 0.9s //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 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:while.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo:type_to_shape_test PASSED in 1.0s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:add.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:case.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:dynamic.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export-with-layouts.mlir.test PASSED in 1.2s //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 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_replicas.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:frontend_attributes.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:fusion.mlir.test PASSED in 0.8s //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 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:layouts_and_names.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:location_to_op_metadata.mlir.test PASSED in 1.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:missing_main.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:module_attributes.mlir.test PASSED in 0.9s //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 1.0s //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 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:simple.mlir.test PASSED in 1.1s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:unsupported_type.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:while.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:hlo_text_to_lhlo_no_opt.hlotxt.test PASSED in 1.4s 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in 0.1s //tensorflow/core/distributed_runtime:session_mgr_test PASSED in 0.7s //tensorflow/core/distributed_runtime:tensor_coding_test PASSED in 0.3s //tensorflow/core/distributed_runtime/coordination:coordination_service_barrier_proxy_test PASSED in 2.3s //tensorflow/core/distributed_runtime/eager:eager_service_impl_test PASSED in 22.1s //tensorflow/core/distributed_runtime/eager:remote_mgr_test PASSED in 12.2s //tensorflow/core/distributed_runtime/integration_test:c_api_coordination_test_cpu PASSED in 41.8s //tensorflow/core/distributed_runtime/integration_test:c_api_multi_client_test_cpu PASSED in 41.7s //tensorflow/core/distributed_runtime/integration_test:c_api_recoverable_jobs_test_cpu PASSED in 44.4s //tensorflow/core/distributed_runtime/integration_test:c_api_session_coordination_test_cpu PASSED in 41.2s //tensorflow/core/distributed_runtime/rpc:grpc_tensor_coding_test PASSED in 3.7s //tensorflow/core/distributed_runtime/rpc:grpc_worker_cache_test PASSED in 0.6s 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in 0.8s //tensorflow/core/framework:types_test PASSED in 0.8s //tensorflow/core/framework:variant_op_registry_test PASSED in 17.1s //tensorflow/core/framework:variant_test PASSED in 0.8s //tensorflow/core/framework/registration:registration_test PASSED in 0.8s //tensorflow/core/function/capture:by_ref_capture_test PASSED in 7.4s //tensorflow/core/function/capture:capture_container_test PASSED in 6.8s //tensorflow/core/function/integration_test:side_inputs_manual_api_test PASSED in 14.4s //tensorflow/core/function/integration_test:side_inputs_test PASSED in 15.5s //tensorflow/core/function/polymorphism:function_cache_test PASSED in 8.9s //tensorflow/core/function/polymorphism:function_type_test PASSED in 6.5s //tensorflow/core/function/polymorphism:type_dispatch_test PASSED in 7.2s //tensorflow/core/function/runtime_client:runtime_client_cc_test PASSED in 32.4s //tensorflow/core/function/trace_type:default_types_test PASSED in 6.4s 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//tensorflow/core/kernels:sparse_utils_test PASSED in 0.4s //tensorflow/core/kernels:sparse_xent_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:spectrogram_op_test_cpu PASSED in 1.7s //tensorflow/core/kernels:spectrogram_test PASSED in 0.3s //tensorflow/core/kernels:split_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:split_v_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:strided_slice_op_test PASSED in 0.8s //tensorflow/core/kernels:string_format_op_test PASSED in 0.7s //tensorflow/core/kernels:string_ngrams_op_test PASSED in 1.0s //tensorflow/core/kernels:string_split_op_test PASSED in 0.5s //tensorflow/core/kernels:substr_op_test PASSED in 0.9s //tensorflow/core/kernels:summary_audio_op_test PASSED in 0.8s //tensorflow/core/kernels:summary_image_op_test PASSED in 0.8s //tensorflow/core/kernels:summary_op_test PASSED in 0.8s //tensorflow/core/kernels:summary_tensor_op_test PASSED in 0.8s //tensorflow/core/kernels:tensor_cord_test PASSED in 0.2s //tensorflow/core/kernels:tensor_flag_utils_test PASSED in 0.1s //tensorflow/core/kernels:tensor_map_test PASSED in 0.2s //tensorflow/core/kernels:training_ops_test PASSED in 0.7s //tensorflow/core/kernels:transpose_util_test PASSED in 0.3s //tensorflow/core/kernels:unary_ops_composition_test_cpu PASSED in 2.3s //tensorflow/core/kernels:unique_op_test PASSED in 0.9s //tensorflow/core/kernels:variable_ops_test PASSED in 2.7s //tensorflow/core/kernels:while_op_test PASSED in 0.9s //tensorflow/core/kernels:xent_op_test_cpu PASSED in 0.6s //tensorflow/core/kernels/batching_util:basic_batch_scheduler_test PASSED in 0.7s //tensorflow/core/kernels/batching_util:batch_input_task_test PASSED in 1.3s //tensorflow/core/kernels/batching_util:batch_resource_base_test PASSED in 0.2s //tensorflow/core/kernels/batching_util:batch_scheduler_test PASSED in 0.1s //tensorflow/core/kernels/batching_util:bounded_executor_test PASSED in 20.5s //tensorflow/core/kernels/batching_util:input_split_metadata_test 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1.4s //tensorflow/core/kernels/data/experimental:assert_prev_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data/experimental:auto_shard_dataset_op_test PASSED in 0.9s //tensorflow/core/kernels/data/experimental:directed_interleave_dataset_op_test PASSED in 0.9s //tensorflow/core/kernels/data/experimental:list_dataset_op_test PASSED in 1.9s //tensorflow/core/kernels/data/experimental:map_and_batch_dataset_op_test PASSED in 3.1s //tensorflow/core/kernels/data/experimental:parallel_interleave_dataset_op_test PASSED in 0.8s //tensorflow/core/kernels/data/experimental:random_dataset_op_test PASSED in 0.8s //tensorflow/core/kernels/data/experimental:sampling_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data/experimental:save_dataset_op_test PASSED in 1.1s //tensorflow/core/kernels/data/experimental:unique_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/image:adjust_contrast_op_benchmark_test_cpu PASSED in 0.6s //tensorflow/core/kernels/image:adjust_contrast_op_test PASSED in 0.7s //tensorflow/core/kernels/image:colorspace_op_test PASSED in 0.7s //tensorflow/core/kernels/image:crop_and_resize_op_benchmark_test_cpu PASSED in 1.1s //tensorflow/core/kernels/image:crop_and_resize_op_test PASSED in 0.7s //tensorflow/core/kernels/image:encode_jpeg_op_test PASSED in 0.5s //tensorflow/core/kernels/image:mirror_pad_op_benchmark_test_cpu PASSED in 0.6s //tensorflow/core/kernels/image:mirror_pad_op_test PASSED in 1.0s //tensorflow/core/kernels/image:non_max_suppression_op_benchmark_test PASSED in 1.5s //tensorflow/core/kernels/image:non_max_suppression_op_test PASSED in 3.9s //tensorflow/core/kernels/image:resize_area_op_test PASSED in 1.1s //tensorflow/core/kernels/image:resize_benchmark_test_cpu PASSED in 0.6s //tensorflow/core/kernels/image:resize_bicubic_op_test PASSED in 4.5s //tensorflow/core/kernels/image:resize_ops_test_cpu PASSED in 2.6s //tensorflow/core/kernels/image:sampling_kernels_test PASSED in 0.5s //tensorflow/core/kernels/image:scale_and_translate_op_test PASSED in 1.9s //tensorflow/core/kernels/linalg:banded_triangular_solve_op_test_cpu PASSED in 0.6s //tensorflow/core/kernels/linalg:matrix_triangular_solve_op_test_cpu PASSED in 1.3s //tensorflow/core/kernels/mkl:mkl_conv_ops_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_dequantize_op_test PASSED in 1.1s //tensorflow/core/kernels/mkl:mkl_fused_batch_norm_op_test PASSED in 0.3s //tensorflow/core/kernels/mkl:mkl_fused_ops_test PASSED in 1.4s //tensorflow/core/kernels/mkl:mkl_matmul_op_benchmark PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_qmatmul_op_test PASSED in 0.2s //tensorflow/core/kernels/mkl:mkl_quantize_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_quantized_concat_op_test PASSED in 0.2s //tensorflow/core/kernels/mkl:mkl_quantized_conv_ops_perchannel_test PASSED in 0.3s //tensorflow/core/kernels/mkl:mkl_quantized_conv_ops_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_quantized_pooling_ops_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_relu_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_requantize_ops_test PASSED in 0.2s //tensorflow/core/kernels/mkl:mkl_swish_op_test PASSED in 0.2s //tensorflow/core/kernels/mkl:onednn_nn_ops_benchmark PASSED in 0.1s //tensorflow/core/kernels/sparse:kernels_test PASSED in 0.7s //tensorflow/core/kernels/uniform_quant_ops:math_utils_test PASSED in 0.1s //tensorflow/core/kernels/uniform_quant_ops:tensor_utils_test PASSED in 0.2s //tensorflow/core/kernels/uniform_quant_ops:uniform_dequantize_op_test PASSED in 0.6s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantize_op_test PASSED in 0.7s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_add_op_test PASSED in 0.6s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_clip_by_value_op_test PASSED in 0.8s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_convolution_ops_test PASSED in 0.5s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_dot_ops_test PASSED in 0.6s //tensorflow/core/kernels/uniform_quant_ops:uniform_requantize_op_test PASSED in 0.7s //tensorflow/core/lib/db:sqlite_test PASSED in 0.1s //tensorflow/core/lib/gif:lib_gif_io_test PASSED in 1.4s //tensorflow/core/lib/jpeg:lib_jpeg_jpeg_mem_unittest PASSED in 0.6s //tensorflow/core/ops:cudnn_rnn_ops_test_cc PASSED in 0.5s //tensorflow/core/ops:ops_array_grad_test PASSED in 1.4s //tensorflow/core/ops:ops_math_grad_test PASSED in 3.8s //tensorflow/core/ops:ops_tests PASSED in 0.8s //tensorflow/core/ops/compat:backwards_compatibility_test PASSED in 1.2s //tensorflow/core/platform:__tensorflow_tsl_platform_profile_utils_cpu_utils_test PASSED in 0.7s //tensorflow/core/platform:enable_tf2_utils_test PASSED in 0.1s //tensorflow/core/platform:env_test PASSED in 2.9s //tensorflow/core/platform:fake_python_env_test PASSED in 0.4s //tensorflow/core/platform:file_system_test PASSED in 0.2s //tensorflow/core/platform:platform_strings_test PASSED in 0.2s //tensorflow/core/platform:ram_file_system_test PASSED in 27.6s //tensorflow/core/platform:resource_loader_test PASSED in 0.1s //tensorflow/core/platform:vmodule_benchmark_test PASSED in 0.6s //tensorflow/core/platform:vmodule_test PASSED in 0.2s //tensorflow/core/profiler/backends/cpu:host_tracer_test PASSED in 0.3s //tensorflow/core/profiler/convert:hlo_proto_to_graph_view_test PASSED in 0.5s //tensorflow/core/profiler/convert:hlo_proto_to_memory_visualization_utils_test PASSED in 0.2s //tensorflow/core/profiler/convert:op_stats_to_pod_stats_test PASSED in 0.2s //tensorflow/core/profiler/convert:op_stats_to_pod_viewer_test PASSED in 0.2s //tensorflow/core/profiler/convert:op_stats_to_tf_stats_test PASSED in 0.4s //tensorflow/core/profiler/convert:xplane_to_kernel_stats_db_test PASSED in 1.2s //tensorflow/core/profiler/convert:xplane_to_memory_profile_test PASSED in 0.9s 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//tensorflow/core/profiler/utils:op_metrics_db_utils_test PASSED in 0.2s //tensorflow/core/profiler/utils:step_intersection_test PASSED in 0.2s //tensorflow/core/summary:schema_test PASSED in 0.5s //tensorflow/core/summary:summary_db_writer_test PASSED in 0.5s //tensorflow/core/summary:summary_file_writer_test PASSED in 0.1s //tensorflow/core/tfrt/common:pjrt_state_test PASSED in 6.8s //tensorflow/core/tfrt/common:pjrt_util_test PASSED in 6.1s //tensorflow/core/tfrt/fallback:cost_recorder_test PASSED in 0.4s //tensorflow/core/tfrt/fallback:fallback_state_test PASSED in 1.1s //tensorflow/core/transforms:eval_utils_test PASSED in 1.6s //tensorflow/core/transforms:graph_transform_wrapper_test PASSED in 0.3s //tensorflow/core/util:bcast_test PASSED in 0.6s //tensorflow/core/util:command_line_flags_test PASSED in 1.0s //tensorflow/core/util:debug_data_dumper_test PASSED in 0.8s //tensorflow/core/util:debug_events_writer_test PASSED in 17.8s //tensorflow/core/util:dump_graph_test PASSED in 0.7s //tensorflow/core/util:equal_graph_def_test PASSED in 0.6s //tensorflow/core/util:events_writer_test PASSED in 3.6s //tensorflow/core/util:example_proto_fast_parsing_test PASSED in 1.5s //tensorflow/core/util:example_proto_helper_test PASSED in 0.6s //tensorflow/core/util:exec_on_stall_test PASSED in 2.2s //tensorflow/core/util:fake_clock_env_test PASSED in 3.5s //tensorflow/core/util:incremental_barrier_test PASSED in 1.5s //tensorflow/core/util:matmul_bcast_test PASSED in 0.9s //tensorflow/core/util:memmapped_file_system_test PASSED in 0.9s //tensorflow/core/util:overflow_test PASSED in 0.1s //tensorflow/core/util:presized_cuckoo_map_test PASSED in 2.5s //tensorflow/core/util:ragged_to_dense_util_test PASSED in 1.5s //tensorflow/core/util:reffed_status_callback_test PASSED in 0.8s //tensorflow/core/util:reporter_test PASSED in 0.7s //tensorflow/core/util:saved_tensor_slice_util_test PASSED in 1.2s //tensorflow/core/util:semver_test PASSED in 1.1s //tensorflow/core/util:stat_summarizer_test PASSED in 0.8s //tensorflow/core/util:strided_slice_op_test PASSED in 0.8s //tensorflow/core/util:tensor_format_test PASSED in 0.9s //tensorflow/core/util:tensor_slice_reader_test PASSED in 2.3s //tensorflow/core/util:tensor_slice_set_test PASSED in 0.7s //tensorflow/core/util:tensor_slice_util_test PASSED in 0.9s //tensorflow/core/util:tensor_slice_writer_test PASSED in 1.8s //tensorflow/core/util:work_sharder_test PASSED in 0.9s //tensorflow/core/util/ctc:ctc_beam_search_test PASSED in 0.2s //tensorflow/core/util/proto:descriptor_pool_registry_test PASSED in 0.5s //tensorflow/core/util/proto:proto_utils_test PASSED in 0.4s //tensorflow/core/util/quantization:uniform_quant_ops_params_test PASSED in 1.0s //tensorflow/core/util/sparse:sparse_tensor_test PASSED in 0.1s //tensorflow/core/util/tensor_bundle:tensor_bundle_test PASSED in 42.4s //tensorflow/dtensor/mlir:dtensor_location_test PASSED in 0.3s //tensorflow/dtensor/mlir:group_assignment_test PASSED in 0.1s //tensorflow/dtensor/mlir/tests:annotate_global_shape.mlir.test PASSED in 1.8s //tensorflow/dtensor/mlir/tests:cluster_function_conversion.mlir.test PASSED in 1.7s //tensorflow/dtensor/mlir/tests:constant_folding.mlir.test PASSED in 0.5s //tensorflow/dtensor/mlir/tests:designate_resource_handle_mesh.mlir.test PASSED in 0.8s //tensorflow/dtensor/mlir/tests:device_mesh_cluster_coarsening.mlir.test PASSED in 1.3s //tensorflow/dtensor/mlir/tests:dtensor_all_gather.mlir.test PASSED in 0.7s //tensorflow/dtensor/mlir/tests:dtensor_all_scatter.mlir.test PASSED in 0.6s //tensorflow/dtensor/mlir/tests:dtensor_allreduce_combine_optimization.mlir.test PASSED in 0.7s //tensorflow/dtensor/mlir/tests:dtensor_allreduce_lowering.mlir.test PASSED in 0.7s //tensorflow/dtensor/mlir/tests:dtensor_allreduce_scatter_optimization.mlir.test PASSED in 0.5s //tensorflow/dtensor/mlir/tests:dtensor_allreduce_sum_optimization.mlir.test PASSED in 0.8s 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0.2s //tensorflow/tsl/profiler/utils:tf_op_utils_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:timespan_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:tpu_xplane_utils_test PASSED in 0.2s //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 0.2s //tensorflow/compiler/tests:complex_div_test_cpu PASSED in 6.6s Stats over 2 runs: max = 6.6s, min = 5.9s, avg = 6.3s, dev = 0.3s //tensorflow/compiler/tests:complex_div_test_cpu_mlir_bridge_test PASSED in 6.8s Stats over 2 runs: max = 6.8s, min = 5.8s, avg = 6.3s, dev = 0.5s //tensorflow/compiler/xla/tests:conditional_test_cpu PASSED in 9.9s Stats over 2 runs: max = 9.9s, min = 9.5s, avg = 9.7s, dev = 0.2s //tensorflow/python:control_flow_ops_test_cpu PASSED in 29.7s Stats over 2 runs: max = 29.7s, min = 24.8s, avg = 27.2s, dev = 2.4s 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29.6s, dev = 4.7s //tensorflow/python/distribute:strategy_common_test_xla_2gpu PASSED in 46.5s Stats over 2 runs: max = 46.5s, min = 44.2s, avg = 45.4s, dev = 1.2s //tensorflow/python/kernel_tests/array_ops:scatter_nd_ops_test_cpu PASSED in 14.6s Stats over 2 runs: max = 14.6s, min = 13.6s, avg = 14.1s, dev = 0.5s //tensorflow/python/kernel_tests/array_ops:scatter_ops_test_cpu PASSED in 21.7s Stats over 2 runs: max = 21.7s, min = 20.8s, avg = 21.2s, dev = 0.5s //tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu PASSED in 26.7s Stats over 2 runs: max = 26.7s, min = 19.7s, avg = 23.2s, dev = 3.5s //tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu PASSED in 9.9s Stats over 2 runs: max = 9.9s, min = 8.9s, avg = 9.4s, dev = 0.5s //tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu PASSED in 124.0s Stats over 2 runs: max = 124.0s, min = 46.1s, avg = 85.0s, dev = 39.0s //tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 129.3s Stats over 2 runs: max = 129.3s, min = 10.5s, avg = 69.9s, dev = 59.4s //tensorflow/compiler/tests:spacetobatch_op_test_cpu PASSED in 8.4s Stats over 3 runs: max = 8.4s, min = 7.8s, avg = 8.1s, dev = 0.3s //tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test PASSED in 11.4s Stats over 3 runs: max = 11.4s, min = 10.9s, avg = 11.1s, dev = 0.2s //tensorflow/compiler/xla/tests:triangular_solve_test_cpu PASSED in 54.2s Stats over 3 runs: max = 54.2s, min = 51.4s, avg = 52.9s, dev = 1.2s //tensorflow/core/data/service:thread_safe_buffer_test PASSED in 0.4s Stats over 3 runs: max = 0.4s, min = 0.1s, avg = 0.2s, dev = 0.1s //tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test PASSED in 15.8s Stats over 3 runs: max = 15.8s, min = 12.1s, avg = 14.4s, dev = 1.7s //tensorflow/python/data/kernel_tests:unique_test PASSED in 17.0s Stats over 3 runs: max = 17.0s, min = 13.7s, avg = 15.0s, dev = 1.5s //tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu PASSED in 47.1s Stats over 3 runs: max = 47.1s, min = 25.1s, avg = 34.0s, dev = 9.4s //tensorflow/python/kernel_tests/array_ops:weights_broadcast_test PASSED in 10.2s Stats over 3 runs: max = 10.2s, min = 9.9s, avg = 10.0s, dev = 0.2s //tensorflow/python/kernel_tests/distributions:util_test_cpu PASSED in 14.3s Stats over 3 runs: max = 14.3s, min = 12.0s, avg = 12.8s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 93.2s Stats over 3 runs: max = 93.2s, min = 10.3s, avg = 38.0s, dev = 39.0s //tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu PASSED in 12.9s Stats over 3 runs: max = 12.9s, min = 10.8s, avg = 11.6s, dev = 0.9s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 13.1s Stats over 4 runs: max = 13.1s, min = 10.3s, avg = 11.6s, dev = 1.1s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 18.0s Stats over 4 runs: max = 18.0s, min = 12.2s, avg = 14.2s, dev = 2.3s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 28.7s Stats over 4 runs: max = 28.7s, min = 6.4s, avg = 19.3s, dev = 8.8s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 36.5s Stats over 4 runs: max = 36.5s, min = 8.7s, avg = 25.4s, dev = 11.6s //tensorflow/compiler/xla/tests:dynamic_ops_test_cpu PASSED in 10.4s Stats over 4 runs: max = 10.4s, min = 8.9s, avg = 9.7s, dev = 0.5s //tensorflow/core/kernels:example_parsing_ops_test PASSED in 0.7s Stats over 4 runs: max = 0.7s, min = 0.4s, avg = 0.6s, dev = 0.1s //tensorflow/python:nn_batchnorm_test_cpu PASSED in 21.8s Stats over 4 runs: max = 21.8s, min = 8.4s, avg = 17.0s, dev = 5.3s //tensorflow/python:nn_fused_batchnorm_d9m_test_cpu PASSED in 16.7s Stats over 4 runs: max = 16.7s, min = 15.3s, avg = 16.0s, dev = 0.6s //tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 41.3s Stats over 4 runs: max = 41.3s, min = 21.8s, avg = 31.4s, dev = 7.3s //tensorflow/python/data/experimental/kernel_tests:map_and_batch_test PASSED in 30.5s Stats over 4 runs: max = 30.5s, min = 19.5s, avg = 22.9s, dev = 4.5s //tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 24.9s Stats over 4 runs: max = 24.9s, min = 13.7s, avg = 19.0s, dev = 5.3s //tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test PASSED in 23.1s Stats over 4 runs: max = 23.1s, min = 6.4s, avg = 15.5s, dev = 6.0s //tensorflow/python/data/experimental/kernel_tests:sql_dataset_test PASSED in 25.8s Stats over 4 runs: max = 25.8s, min = 19.1s, avg = 22.0s, dev = 2.6s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 8.6s Stats over 4 runs: max = 8.6s, min = 6.8s, avg = 7.7s, dev = 0.9s //tensorflow/python/data/kernel_tests:batch_test PASSED in 34.6s Stats over 4 runs: max = 34.6s, min = 27.4s, avg = 30.2s, dev = 2.8s //tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test PASSED in 19.6s Stats over 4 runs: max = 19.6s, min = 11.3s, avg = 15.6s, dev = 3.8s //tensorflow/python/data/kernel_tests:from_generator_test PASSED in 23.5s Stats over 4 runs: max = 23.5s, min = 15.9s, avg = 19.9s, dev = 3.0s //tensorflow/python/data/kernel_tests:group_by_window_test PASSED in 39.8s Stats over 4 runs: max = 39.8s, min = 6.4s, avg = 17.9s, dev = 13.6s //tensorflow/python/data/kernel_tests:ragged_batch_test PASSED in 19.6s Stats over 4 runs: max = 19.6s, min = 17.5s, avg = 18.5s, dev = 0.8s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 40.7s Stats over 4 runs: max = 40.7s, min = 32.1s, avg = 35.8s, dev = 3.6s //tensorflow/python/data/kernel_tests:skip_test PASSED in 46.6s Stats over 4 runs: max = 46.6s, min = 23.5s, avg = 36.5s, dev = 9.9s //tensorflow/python/data/kernel_tests:take_test PASSED in 33.6s Stats over 4 runs: max = 33.6s, min = 31.6s, avg = 32.5s, dev = 0.8s //tensorflow/python/data/kernel_tests:take_while_test PASSED in 30.8s Stats over 4 runs: max = 30.8s, min = 25.7s, avg = 28.7s, dev = 1.9s //tensorflow/python/data/kernel_tests:text_line_dataset_test PASSED in 21.2s Stats over 4 runs: max = 21.2s, min = 16.6s, avg = 19.0s, dev = 1.9s //tensorflow/python/data/kernel_tests:zip_test PASSED in 17.9s Stats over 4 runs: max = 17.9s, min = 16.1s, avg = 17.0s, dev = 0.6s //tensorflow/python/debug/lib:dumping_callback_test_cpu PASSED in 16.9s Stats over 4 runs: max = 16.9s, min = 15.5s, avg = 16.0s, dev = 0.5s //tensorflow/python/distribute:cross_device_ops_test_2gpu PASSED in 32.8s Stats over 4 runs: max = 32.8s, min = 22.4s, avg = 27.2s, dev = 4.4s //tensorflow/python/distribute:cross_device_ops_test_cpu PASSED in 31.4s Stats over 4 runs: max = 31.4s, min = 22.2s, avg = 26.0s, dev = 3.5s //tensorflow/python/distribute:strategy_gather_test_2gpu PASSED in 28.4s Stats over 4 runs: max = 28.4s, min = 19.7s, avg = 24.0s, dev = 4.2s //tensorflow/python/distribute:strategy_gather_test_cpu PASSED in 22.1s Stats over 4 runs: max = 22.1s, min = 15.9s, avg = 19.1s, dev = 2.8s //tensorflow/python/distribute:strategy_gather_test_xla_2gpu PASSED in 18.8s Stats over 4 runs: max = 18.8s, min = 9.6s, avg = 14.2s, dev = 4.3s //tensorflow/python/framework:convert_to_constants_test PASSED in 24.7s Stats over 4 runs: max = 24.7s, min = 17.9s, avg = 20.6s, dev = 2.9s //tensorflow/python/kernel_tests:collective_ops_test_2gpu PASSED in 34.4s Stats over 4 runs: max = 34.4s, min = 33.3s, avg = 33.7s, dev = 0.4s //tensorflow/python/kernel_tests:collective_ops_test_cpu PASSED in 34.7s Stats over 4 runs: max = 34.7s, min = 34.5s, avg = 34.6s, dev = 0.1s //tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 19.1s Stats over 4 runs: max = 19.1s, min = 15.7s, avg = 17.7s, dev = 1.2s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 69.0s Stats over 4 runs: max = 69.0s, min = 26.0s, avg = 45.8s, dev = 17.7s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 46.2s Stats over 4 runs: max = 46.2s, min = 26.0s, avg = 32.7s, dev = 8.1s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 119.2s Stats over 4 runs: max = 119.2s, min = 34.8s, avg = 70.7s, dev = 34.2s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 27.1s Stats over 4 runs: max = 27.1s, min = 26.4s, avg = 26.8s, dev = 0.3s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 97.6s Stats over 4 runs: max = 97.6s, min = 9.8s, avg = 47.8s, dev = 37.8s //tensorflow/python/kernel_tests/signal:window_ops_test_cpu PASSED in 18.9s Stats over 4 runs: max = 18.9s, min = 18.0s, avg = 18.5s, dev = 0.3s //tensorflow/python/ops/ragged:ragged_gather_op_test PASSED in 67.9s Stats over 4 runs: max = 67.9s, min = 19.6s, avg = 43.6s, dev = 17.2s //tensorflow/python/ops/ragged:ragged_getitem_test PASSED in 51.9s Stats over 4 runs: max = 51.9s, min = 45.8s, avg = 49.1s, dev = 2.2s //tensorflow/tools/docs:tf_doctest PASSED in 59.5s Stats over 4 runs: max = 59.5s, min = 34.6s, avg = 43.0s, dev = 9.8s //tensorflow/compiler/tests:async_comp_test_cpu PASSED in 7.9s Stats over 5 runs: max = 7.9s, min = 7.0s, avg = 7.6s, dev = 0.3s //tensorflow/compiler/tests:conv3d_test_cpu PASSED in 14.5s Stats over 5 runs: max = 14.5s, min = 6.8s, avg = 10.1s, dev = 3.4s //tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test PASSED in 13.8s Stats over 5 runs: max = 13.8s, min = 5.7s, avg = 9.2s, dev = 3.6s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu PASSED in 13.8s Stats over 5 runs: max = 13.8s, min = 8.0s, avg = 10.4s, dev = 2.2s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test PASSED in 22.0s Stats over 5 runs: max = 22.0s, min = 14.2s, avg = 17.6s, dev = 2.8s //tensorflow/compiler/tests:fused_batchnorm_test_cpu PASSED in 8.2s Stats over 5 runs: max = 8.2s, min = 7.1s, avg = 7.6s, dev = 0.4s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 10.6s Stats over 5 runs: max = 10.6s, min = 9.4s, avg = 10.0s, dev = 0.4s //tensorflow/compiler/tests:image_ops_jit_compile_test_cpu PASSED in 9.4s Stats over 5 runs: max = 9.4s, min = 8.7s, avg = 8.9s, dev = 0.2s //tensorflow/compiler/tests:reduce_ops_test_cpu PASSED in 10.0s Stats over 5 runs: max = 10.0s, min = 8.5s, avg = 9.5s, dev = 0.5s //tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test PASSED in 17.6s Stats over 5 runs: max = 17.6s, min = 13.4s, avg = 15.0s, dev = 1.4s //tensorflow/compiler/tests:repeat_op_test_cpu PASSED in 10.2s Stats over 5 runs: max = 10.2s, min = 8.0s, avg = 8.7s, dev = 0.8s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 7.4s Stats over 5 runs: max = 7.4s, min = 5.8s, avg = 6.4s, dev = 0.6s //tensorflow/compiler/tests:special_math_test_cpu PASSED in 107.9s Stats over 5 runs: max = 107.9s, min = 15.6s, avg = 50.4s, dev = 31.4s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 108.8s Stats over 5 runs: max = 108.8s, min = 17.8s, avg = 53.7s, dev = 30.7s //tensorflow/compiler/xla/client/lib:self_adjoint_eig_test_cpu PASSED in 28.8s Stats over 5 runs: max = 28.8s, min = 13.4s, avg = 22.4s, dev = 6.5s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 3.8s Stats over 5 runs: max = 3.8s, min = 2.3s, avg = 3.0s, dev = 0.6s //tensorflow/dtensor/python/tests:layout_propagation_test_cpu PASSED in 11.2s Stats over 5 runs: max = 11.2s, min = 9.0s, avg = 9.7s, dev = 0.8s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 11.0s Stats over 5 runs: max = 11.0s, min = 10.3s, avg = 10.8s, dev = 0.3s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 12.3s Stats over 5 runs: max = 12.3s, min = 11.8s, avg = 12.1s, dev = 0.2s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 20.9s Stats over 5 runs: max = 20.9s, min = 14.1s, avg = 16.3s, dev = 2.4s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 19.4s Stats over 5 runs: max = 19.4s, min = 12.9s, avg = 15.9s, dev = 2.3s //tensorflow/python/distribute:vars_test_2gpu PASSED in 19.4s Stats over 5 runs: max = 19.4s, min = 18.1s, avg = 18.7s, dev = 0.5s //tensorflow/python/distribute:vars_test_cpu PASSED in 76.9s Stats over 5 runs: max = 76.9s, min = 68.0s, avg = 71.6s, dev = 3.2s //tensorflow/python/eager:device_placement_test_cpu PASSED in 9.4s Stats over 5 runs: max = 9.4s, min = 8.5s, avg = 9.1s, dev = 0.3s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 115.3s Stats over 5 runs: max = 115.3s, min = 18.2s, avg = 51.3s, dev = 33.4s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 16.3s Stats over 5 runs: max = 16.3s, min = 10.9s, avg = 13.3s, dev = 2.1s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 82.9s Stats over 5 runs: max = 82.9s, min = 35.6s, avg = 51.5s, dev = 17.3s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 24.8s Stats over 5 runs: max = 24.8s, min = 21.5s, avg = 22.7s, dev = 1.1s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 46.4s Stats over 5 runs: max = 46.4s, min = 41.8s, avg = 44.6s, dev = 2.1s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 21.8s Stats over 5 runs: max = 21.8s, min = 17.3s, avg = 19.6s, dev = 1.6s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 30.3s Stats over 5 runs: max = 30.3s, min = 29.1s, avg = 29.7s, dev = 0.4s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 25.4s Stats over 5 runs: max = 25.4s, min = 24.9s, avg = 25.1s, dev = 0.2s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 34.8s Stats over 5 runs: max = 34.8s, min = 30.3s, avg = 32.6s, dev = 1.7s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 26.4s Stats over 5 runs: max = 26.4s, min = 22.1s, avg = 24.2s, dev = 1.7s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 22.0s Stats over 5 runs: max = 22.0s, min = 17.3s, avg = 20.2s, dev = 1.9s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 17.2s Stats over 5 runs: max = 17.2s, min = 14.9s, avg = 15.8s, dev = 0.8s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 77.4s Stats over 5 runs: max = 77.4s, min = 75.8s, avg = 76.5s, dev = 0.6s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 7.7s Stats over 5 runs: max = 7.7s, min = 7.3s, avg = 7.6s, dev = 0.2s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 24.6s Stats over 5 runs: max = 24.6s, min = 22.1s, avg = 23.6s, dev = 0.8s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 17.4s Stats over 5 runs: max = 17.4s, min = 8.4s, avg = 10.7s, dev = 3.4s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 23.8s Stats over 5 runs: max = 23.8s, min = 13.0s, avg = 15.9s, dev = 4.0s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 35.5s Stats over 5 runs: max = 35.5s, min = 8.1s, avg = 14.4s, dev = 10.5s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 77.8s Stats over 5 runs: max = 77.8s, min = 26.9s, avg = 46.9s, dev = 18.3s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 12.2s Stats over 6 runs: max = 12.2s, min = 9.3s, avg = 11.0s, dev = 1.0s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 19.3s Stats over 6 runs: max = 19.3s, min = 12.3s, avg = 16.1s, dev = 2.1s //tensorflow/python:accumulate_n_benchmark_cpu PASSED in 9.3s Stats over 6 runs: max = 9.3s, min = 7.4s, avg = 8.4s, dev = 0.5s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 23.8s Stats over 6 runs: max = 23.8s, min = 8.2s, avg = 14.9s, dev = 6.7s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 81.7s Stats over 6 runs: max = 81.7s, min = 9.1s, avg = 23.7s, dev = 26.0s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 39.5s Stats over 6 runs: max = 39.5s, min = 24.6s, avg = 34.1s, dev = 5.0s //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 12.6s Stats over 7 runs: max = 12.6s, min = 8.3s, avg = 10.1s, dev = 1.4s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 59.9s Stats over 8 runs: max = 59.9s, min = 5.7s, avg = 22.2s, dev = 18.0s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 66.7s Stats over 8 runs: max = 66.7s, min = 6.7s, avg = 26.0s, dev = 20.4s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 30.6s Stats over 8 runs: max = 30.6s, min = 5.7s, avg = 16.1s, dev = 9.2s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 32.8s Stats over 8 runs: max = 32.8s, min = 11.5s, avg = 21.9s, dev = 7.1s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 61.1s Stats over 8 runs: max = 61.1s, min = 11.4s, avg = 32.3s, dev = 17.6s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 59.4s Stats over 8 runs: max = 59.4s, min = 27.6s, avg = 36.3s, dev = 10.5s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 23.5s Stats over 8 runs: max = 23.5s, min = 8.9s, avg = 13.9s, dev = 5.3s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 21.2s Stats over 8 runs: max = 21.2s, min = 12.3s, avg = 15.0s, dev = 2.8s //tensorflow/python/data/kernel_tests:filter_test PASSED in 16.4s Stats over 8 runs: max = 16.4s, min = 12.0s, avg = 14.8s, dev = 1.3s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 27.4s Stats over 8 runs: max = 27.4s, min = 17.6s, avg = 21.7s, dev = 3.3s //tensorflow/python/data/kernel_tests:shard_test PASSED in 22.2s Stats over 8 runs: max = 22.2s, min = 14.9s, avg = 18.6s, dev = 2.0s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 29.3s Stats over 8 runs: max = 29.3s, min = 17.2s, avg = 23.8s, dev = 3.3s //tensorflow/python/distribute/failure_handling:failure_handler_test PASSED in 51.4s Stats over 8 runs: max = 51.4s, min = 22.5s, avg = 36.1s, dev = 9.3s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test PASSED in 82.0s Stats over 8 runs: max = 82.0s, min = 11.7s, avg = 33.5s, dev = 28.0s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 46.7s Stats over 8 runs: max = 46.7s, min = 28.4s, avg = 38.3s, dev = 6.3s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 67.3s Stats over 8 runs: max = 67.3s, min = 51.1s, avg = 60.6s, dev = 5.7s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 60.6s Stats over 8 runs: max = 60.6s, min = 43.7s, avg = 51.5s, dev = 6.0s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 58.9s Stats over 8 runs: max = 58.9s, min = 5.5s, avg = 15.4s, dev = 17.0s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 11.5s Stats over 8 runs: max = 11.5s, min = 10.0s, avg = 11.1s, dev = 0.4s //tensorflow/python/kernel_tests/signal:fft_ops_test_cpu PASSED in 20.4s Stats over 8 runs: max = 20.4s, min = 7.5s, avg = 12.7s, dev = 4.7s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 121.1s Stats over 8 runs: max = 121.1s, min = 104.5s, avg = 111.1s, dev = 6.0s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 23.1s Stats over 8 runs: max = 23.1s, min = 12.1s, avg = 15.7s, dev = 3.2s //tensorflow/compiler/tests:bincount_op_test_cpu PASSED in 6.8s Stats over 10 runs: max = 6.8s, min = 2.9s, avg = 4.8s, dev = 1.2s //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 32.0s Stats over 10 runs: max = 32.0s, min = 24.5s, avg = 29.0s, dev = 2.7s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 7.1s Stats over 10 runs: max = 7.1s, min = 4.9s, avg = 6.1s, dev = 0.8s //tensorflow/compiler/tests:image_ops_test_cpu PASSED in 17.5s Stats over 10 runs: max = 17.5s, min = 12.5s, avg = 15.0s, dev = 1.7s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 27.1s Stats over 10 runs: max = 27.1s, min = 19.8s, avg = 23.4s, dev = 2.0s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 23.1s Stats over 10 runs: max = 23.1s, min = 16.2s, avg = 19.5s, dev = 2.0s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 74.6s Stats over 10 runs: max = 74.6s, min = 35.7s, avg = 54.9s, dev = 12.7s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 71.4s Stats over 10 runs: max = 71.4s, min = 38.3s, avg = 55.2s, dev = 11.1s //tensorflow/compiler/xla/client/lib:svd_test_cpu PASSED in 71.4s Stats over 10 runs: max = 71.4s, min = 6.7s, avg = 25.5s, dev = 22.3s //tensorflow/compiler/xla/client/lib:tridiagonal_test_cpu PASSED in 8.4s Stats over 10 runs: max = 8.4s, min = 7.2s, avg = 7.8s, dev = 0.3s //tensorflow/compiler/xla/service/cpu:cpu_runtime_test PASSED in 12.6s Stats over 10 runs: max = 12.6s, min = 1.0s, avg = 9.1s, dev = 4.2s //tensorflow/python:special_math_ops_test_cpu PASSED in 48.7s Stats over 10 runs: max = 48.7s, min = 6.5s, avg = 14.2s, dev = 11.8s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 16.3s Stats over 10 runs: max = 16.3s, min = 7.6s, avg = 10.6s, dev = 2.8s //tensorflow/python/distribute:input_lib_test_cpu PASSED in 28.8s Stats over 10 runs: max = 28.8s, min = 21.5s, avg = 24.5s, dev = 2.3s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 16.8s Stats over 10 runs: max = 16.8s, min = 4.1s, avg = 10.6s, dev = 4.1s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 20.3s Stats over 10 runs: max = 20.3s, min = 8.7s, avg = 14.2s, dev = 3.8s //tensorflow/python/framework:config_vgpu_test_2gpu PASSED in 7.0s Stats over 10 runs: max = 7.0s, min = 5.3s, avg = 5.9s, dev = 0.6s //tensorflow/python/framework:config_vgpu_test_cpu PASSED in 6.9s Stats over 10 runs: max = 6.9s, min = 4.2s, avg = 5.6s, dev = 0.8s //tensorflow/python/framework:function_test_cpu PASSED in 54.5s Stats over 10 runs: max = 54.5s, min = 11.1s, avg = 17.0s, dev = 12.8s //tensorflow/python/grappler:cluster_test_cpu PASSED in 8.0s Stats over 10 runs: max = 8.0s, min = 3.4s, avg = 4.9s, dev = 1.6s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 15.3s Stats over 10 runs: max = 15.3s, min = 9.5s, avg = 12.3s, dev = 1.7s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 7.3s Stats over 10 runs: max = 7.3s, min = 3.5s, avg = 5.1s, dev = 1.7s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 9.9s Stats over 10 runs: max = 9.9s, min = 4.1s, avg = 6.7s, dev = 2.1s //tensorflow/python/kernel_tests/linalg:linear_operator_kronecker_test_cpu PASSED in 33.8s Stats over 10 runs: max = 33.8s, min = 26.7s, avg = 30.1s, dev = 2.1s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 108.8s Stats over 10 runs: max = 108.8s, min = 89.7s, avg = 97.0s, dev = 4.8s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 111.6s Stats over 10 runs: max = 111.6s, min = 11.7s, avg = 23.9s, dev = 29.3s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 41.2s Stats over 10 runs: max = 41.2s, min = 12.4s, avg = 26.6s, dev = 8.9s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 28.6s Stats over 10 runs: max = 28.6s, min = 7.8s, avg = 15.9s, dev = 7.4s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 14.0s Stats over 10 runs: max = 14.0s, min = 11.9s, avg = 12.8s, dev = 0.6s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 12.6s Stats over 10 runs: max = 12.6s, min = 10.7s, avg = 11.6s, dev = 0.6s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 146.7s Stats over 10 runs: max = 146.7s, min = 18.4s, avg = 78.9s, dev = 59.8s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 19.5s Stats over 10 runs: max = 19.5s, min = 16.6s, avg = 17.9s, dev = 0.9s //tensorflow/python/saved_model:load_test_cpu PASSED in 48.6s Stats over 10 runs: max = 48.6s, min = 28.2s, avg = 32.1s, dev = 5.8s //tensorflow/dtensor/python/tests:input_util_test FLAKY, failed in 2 out of 10 in 36.2s Stats over 10 runs: max = 36.2s, min = 12.7s, avg = 22.0s, dev = 6.3s /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/python/distribute:input_lib_test_2gpu FLAKY, failed in 1 out of 11 in 900.0s Stats over 11 runs: max = 900.0s, min = 11.2s, avg = 103.5s, dev = 251.9s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/distribute/input_lib_test_2gpu/shard_2_of_10/test_attempts/attempt_1.log //tensorflow/compiler/tests:fft_test_cpu PASSED in 28.9s Stats over 12 runs: max = 28.9s, min = 13.6s, avg = 19.3s, dev = 5.5s //tensorflow/compiler/xla/service:triangular_solve_expander_test PASSED in 4.8s Stats over 12 runs: max = 4.8s, min = 2.7s, avg = 3.5s, dev = 0.7s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 17.4s Stats over 12 runs: max = 17.4s, min = 4.1s, avg = 10.2s, dev = 4.1s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 13.2s Stats over 12 runs: max = 13.2s, min = 6.9s, avg = 9.1s, dev = 1.9s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 21.2s Stats over 12 runs: max = 21.2s, min = 15.5s, avg = 18.7s, dev = 1.6s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 222.6s Stats over 12 runs: max = 222.6s, min = 12.7s, avg = 49.6s, dev = 57.9s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 224.1s Stats over 12 runs: max = 224.1s, min = 14.0s, avg = 51.6s, dev = 58.0s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu FAILED in 3 out of 12 in 34.4s Stats over 12 runs: max = 34.4s, min = 3.5s, avg = 13.4s, dev = 9.4s /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 16.3s Stats over 15 runs: max = 16.3s, min = 10.4s, avg = 13.2s, dev = 1.9s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 64.2s Stats over 15 runs: max = 64.2s, min = 55.7s, avg = 60.5s, dev = 2.4s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 48.6s Stats over 15 runs: max = 48.6s, min = 9.1s, avg = 15.3s, dev = 9.9s //tensorflow/python:image_ops_test_cpu PASSED in 21.3s Stats over 16 runs: max = 21.3s, min = 10.8s, avg = 15.7s, dev = 2.9s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 34.0s Stats over 16 runs: max = 34.0s, min = 25.7s, avg = 29.6s, dev = 3.0s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 20.3s Stats over 16 runs: max = 20.3s, min = 3.1s, avg = 11.4s, dev = 5.0s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 43.1s Stats over 16 runs: max = 43.1s, min = 13.9s, avg = 26.1s, dev = 8.1s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 34.6s Stats over 16 runs: max = 34.6s, min = 13.7s, avg = 17.0s, dev = 4.8s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 9.4s Stats over 16 runs: max = 9.4s, min = 4.5s, avg = 6.5s, dev = 1.4s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 11.8s Stats over 16 runs: max = 11.8s, min = 6.7s, avg = 9.3s, dev = 1.5s //tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu PASSED in 57.9s Stats over 16 runs: max = 57.9s, min = 15.3s, avg = 23.3s, dev = 9.4s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test FLAKY, failed in 1 out of 18 in 900.1s Stats over 18 runs: max = 900.1s, min = 4.0s, avg = 56.2s, dev = 204.7s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/data/experimental/kernel_tests/service/distributed_save_ft_test/shard_2_of_17/test_attempts/attempt_1.log //tensorflow/python/data/kernel_tests:map_test PASSED in 38.8s Stats over 19 runs: max = 38.8s, min = 11.7s, avg = 19.1s, dev = 6.2s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 8.2s Stats over 20 runs: max = 8.2s, min = 3.7s, avg = 6.9s, dev = 1.1s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 9.1s Stats over 20 runs: max = 9.1s, min = 2.9s, avg = 4.7s, dev = 1.9s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 11.6s Stats over 20 runs: max = 11.6s, min = 2.9s, avg = 6.0s, dev = 2.8s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 16.8s Stats over 20 runs: max = 16.8s, min = 3.3s, avg = 6.1s, dev = 3.3s //tensorflow/compiler/xla/tests:convolution_dimension_numbers_test_cpu PASSED in 10.6s Stats over 20 runs: max = 10.6s, min = 9.5s, avg = 10.1s, dev = 0.3s //tensorflow/compiler/xla/tests:dot_operation_single_threaded_runtime_test_cpu PASSED in 14.0s Stats over 20 runs: max = 14.0s, min = 11.6s, avg = 12.9s, dev = 0.7s //tensorflow/compiler/xla/tests:dot_operation_test_cpu PASSED in 14.4s Stats over 20 runs: max = 14.4s, min = 10.9s, avg = 12.7s, dev = 0.8s //tensorflow/compiler/xla/tests:prng_test_cpu PASSED in 9.7s Stats over 20 runs: max = 9.7s, min = 7.8s, avg = 8.7s, dev = 0.5s //tensorflow/compiler/xla/tests:reduce_window_test_cpu PASSED in 43.0s Stats over 20 runs: max = 43.0s, min = 8.5s, avg = 18.1s, dev = 10.8s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 25.8s Stats over 20 runs: max = 25.8s, min = 19.0s, avg = 22.1s, dev = 2.3s //tensorflow/python/kernel_tests:metrics_test PASSED in 30.8s Stats over 20 runs: max = 30.8s, min = 8.1s, avg = 15.8s, dev = 6.2s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 7.7s Stats over 20 runs: max = 7.7s, min = 5.7s, avg = 6.5s, dev = 0.6s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 15.8s Stats over 20 runs: max = 15.8s, min = 3.2s, avg = 8.1s, dev = 3.2s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 42.6s Stats over 20 runs: max = 42.6s, min = 5.7s, avg = 16.1s, dev = 11.9s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 113.0s Stats over 20 runs: max = 113.0s, min = 25.1s, avg = 61.2s, dev = 25.5s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 7.2s Stats over 20 runs: max = 7.2s, min = 3.4s, avg = 4.2s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 12.7s Stats over 20 runs: max = 12.7s, min = 5.2s, avg = 8.8s, dev = 2.4s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 156.9s Stats over 20 runs: max = 156.9s, min = 29.5s, avg = 96.1s, dev = 44.1s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 25.9s Stats over 20 runs: max = 25.9s, min = 8.0s, avg = 14.7s, dev = 5.4s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 16.3s Stats over 20 runs: max = 16.3s, min = 6.0s, avg = 11.4s, dev = 3.3s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 19.4s Stats over 20 runs: max = 19.4s, min = 15.8s, avg = 17.4s, dev = 1.0s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 80.3s Stats over 20 runs: max = 80.3s, min = 5.5s, avg = 33.5s, dev = 24.5s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 15.9s Stats over 20 runs: max = 15.9s, min = 8.5s, avg = 11.2s, dev = 1.9s //tensorflow/python/data/experimental/kernel_tests/service:local_workers_test PASSED in 20.5s Stats over 24 runs: max = 20.5s, min = 6.0s, avg = 13.8s, dev = 3.3s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 23.5s Stats over 24 runs: max = 23.5s, min = 8.2s, avg = 15.0s, dev = 4.0s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 19.3s Stats over 24 runs: max = 19.3s, min = 5.0s, avg = 10.2s, dev = 3.9s //tensorflow/compiler/xla/tests:array_elementwise_ops_test_cpu PASSED in 9.2s Stats over 25 runs: max = 9.2s, min = 7.9s, avg = 8.6s, dev = 0.4s //tensorflow/compiler/xla/tests:select_and_scatter_test_cpu PASSED in 37.4s Stats over 25 runs: max = 37.4s, min = 9.7s, avg = 13.9s, dev = 7.4s //tensorflow/compiler/xla/tests:convolution_variants_test_cpu PASSED in 9.4s Stats over 30 runs: max = 9.4s, min = 6.9s, avg = 8.0s, dev = 0.7s //tensorflow/compiler/xla/tests:iota_test_cpu PASSED in 18.2s Stats over 30 runs: max = 18.2s, min = 15.0s, avg = 16.3s, dev = 0.8s //tensorflow/compiler/xla/tests:params_test_cpu PASSED in 9.1s Stats over 30 runs: max = 9.1s, min = 7.4s, avg = 8.4s, dev = 0.5s //tensorflow/compiler/xla/tests:reshape_test_cpu PASSED in 10.8s Stats over 30 runs: max = 10.8s, min = 8.4s, avg = 9.7s, dev = 0.6s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 27.3s Stats over 30 runs: max = 27.3s, min = 3.1s, avg = 10.6s, dev = 6.3s //tensorflow/compiler/xla/tests:reduce_test_cpu PASSED in 12.8s Stats over 31 runs: max = 12.8s, min = 9.7s, avg = 11.3s, dev = 0.8s //tensorflow/compiler/xla/tests:scalar_computations_test_cpu PASSED in 9.5s Stats over 32 runs: max = 9.5s, min = 6.6s, avg = 7.6s, dev = 0.6s //tensorflow/python/data/experimental/kernel_tests/service:auto_shard_test PASSED in 18.0s Stats over 32 runs: max = 18.0s, min = 3.4s, avg = 11.6s, dev = 3.5s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 28.4s Stats over 32 runs: max = 28.4s, min = 7.0s, avg = 17.4s, dev = 5.3s //tensorflow/compiler/xla/tests:batch_normalization_test_cpu PASSED in 12.9s Stats over 40 runs: max = 12.9s, min = 11.7s, avg = 12.3s, dev = 0.3s //tensorflow/compiler/xla/tests:bfloat16_test_cpu PASSED in 9.2s Stats over 40 runs: max = 9.2s, min = 7.2s, avg = 8.0s, dev = 0.6s //tensorflow/compiler/xla/tests:conv_depthwise_backprop_filter_test_cpu PASSED in 13.9s Stats over 40 runs: max = 13.9s, min = 11.3s, avg = 12.6s, dev = 0.6s //tensorflow/compiler/xla/tests:slice_test_cpu PASSED in 10.5s Stats over 40 runs: max = 10.5s, min = 6.8s, avg = 8.4s, dev = 0.7s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 100.8s Stats over 50 runs: max = 100.8s, min = 18.6s, avg = 43.5s, dev = 29.3s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 35.9s Stats over 50 runs: max = 35.9s, min = 2.8s, avg = 9.7s, dev = 7.2s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 40.2s Stats over 50 runs: max = 40.2s, min = 2.6s, avg = 10.1s, dev = 8.1s //tensorflow/compiler/xla/tests:conv_depthwise_test_cpu PASSED in 11.7s Stats over 50 runs: max = 11.7s, min = 9.5s, avg = 10.4s, dev = 0.5s //tensorflow/compiler/xla/tests:convolution_test_1d_no_vmodule_cpu PASSED in 14.7s Stats over 50 runs: max = 14.7s, min = 8.5s, avg = 12.4s, dev = 1.7s //tensorflow/compiler/xla/tests:convolution_test_cpu PASSED in 14.6s Stats over 50 runs: max = 14.6s, min = 8.8s, avg = 12.5s, dev = 1.1s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 16.2s Stats over 50 runs: max = 16.2s, min = 4.3s, avg = 9.8s, dev = 3.3s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 8.6s Stats over 50 runs: max = 8.6s, min = 3.0s, avg = 4.9s, dev = 1.8s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 8.6s Stats over 50 runs: max = 8.6s, min = 2.9s, avg = 4.5s, dev = 1.3s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 31.3s Stats over 50 runs: max = 31.3s, min = 7.1s, avg = 14.9s, dev = 6.2s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 16.4s Stats over 50 runs: max = 16.4s, min = 3.1s, avg = 4.8s, dev = 2.0s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 15.4s Stats over 50 runs: max = 15.4s, min = 3.0s, avg = 5.7s, dev = 3.2s Executed 3641 out of 3641 tests: 3640 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.