==================== Test output for //tensorflow/python/distribute:input_lib_test_cpu (shard 7 of 10):
2023-03-13 03:12:30.574081: 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 3.8.10: /usr/local/bin/python3
[ RUN      ] DistributedIteratorPerDeviceTest.testDevicePlacementForInvalidCombinations_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorPerDeviceTest.testDevicePlacementForInvalidCombinations_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager): 0.01s
I0313 03:12:38.304913 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorPerDeviceTest.testDevicePlacementForInvalidCombinations_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager): 0.01s
[  SKIPPED ] DistributedIteratorPerDeviceTest.testDevicePlacementForInvalidCombinations_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceTrueexperimentalperreplicabuffersize1_mode_eager
[ RUN      ] DistributedIteratorPerDeviceTest.testDevicePlacementForPerWorkerValuesWithoutPrefetch_test_distribution_Mirrored2CPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager
WARNING:tensorflow:There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
W0313 03:12:38.443140 281473046311776 cross_device_ops.py:1387] There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2')
I0313 03:12:38.532127 281473046311776 mirrored_strategy.py:375] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2')
WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/input_lib_test.py:1618: 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
W0313 03:12:38.532687 281473046311776 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_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/input_lib_test.py:1618: 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
2023-03-13 03:12:38.569994: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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 [4]
	 [[{{node Placeholder/_0}}]]
2023-03-13 03:12:38.746706: 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.
2023-03-13 03:12:38.747474: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
2023-03-13 03:12:38.791367: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
WARNING:tensorflow:Using MirroredStrategy eagerly has significant overhead currently. We will be working on improving this in the future, but for now please wrap `call_for_each_replica` or `experimental_run` or `run` inside a tf.function to get the best performance.
W0313 03:12:38.868476 281473046311776 mirrored_run.py:87] Using MirroredStrategy eagerly has significant overhead currently. We will be working on improving this in the future, but for now please wrap `call_for_each_replica` or `experimental_run` or `run` inside a tf.function to get the best performance.
WARNING:tensorflow:Using MirroredStrategy eagerly has significant overhead currently. We will be working on improving this in the future, but for now please wrap `call_for_each_replica` or `experimental_run` or `run` inside a tf.function to get the best performance.
W0313 03:12:38.873828 281473046311776 mirrored_run.py:87] Using MirroredStrategy eagerly has significant overhead currently. We will be working on improving this in the future, but for now please wrap `call_for_each_replica` or `experimental_run` or `run` inside a tf.function to get the best performance.
INFO:tensorflow:time(__main__.DistributedIteratorPerDeviceTest.testDevicePlacementForPerWorkerValuesWithoutPrefetch_test_distribution_Mirrored2CPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager): 0.5s
I0313 03:12:38.937356 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorPerDeviceTest.testDevicePlacementForPerWorkerValuesWithoutPrefetch_test_distribution_Mirrored2CPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager): 0.5s
[       OK ] DistributedIteratorPerDeviceTest.testDevicePlacementForPerWorkerValuesWithoutPrefetch_test_distribution_Mirrored2CPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager
[ RUN      ] DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_Mirrored2GPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_Mirrored2GPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager): 0.01s
I0313 03:12:39.079214 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_Mirrored2GPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager): 0.01s
[  SKIPPED ] DistributedIteratorPerDeviceTest.testOutputValuesForPerReplicaInputOptions_test_distribution_Mirrored2GPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERREPLICAPERREPLICAexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager
[ RUN      ] DistributedIteratorPerDeviceTest.testOutputValuesForPerWorkerInputOptions_test_distribution_Mirrored2GPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorPerDeviceTest.testOutputValuesForPerWorkerInputOptions_test_distribution_Mirrored2GPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager): 0.0s
I0313 03:12:39.242303 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorPerDeviceTest.testOutputValuesForPerWorkerInputOptions_test_distribution_Mirrored2GPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorPerDeviceTest.testOutputValuesForPerWorkerInputOptions_test_distribution_Mirrored2GPUs_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize1_mode_eager
[ RUN      ] DistributedIteratorPerDeviceTest.testPrefetchBufferSizeInputOptions_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize2_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorPerDeviceTest.testPrefetchBufferSizeInputOptions_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize2_mode_eager): 0.0s
I0313 03:12:39.377748 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorPerDeviceTest.testPrefetchBufferSizeInputOptions_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize2_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorPerDeviceTest.testPrefetchBufferSizeInputOptions_test_distribution_MirroredCPUAndGPU_inputoptions_InputOptionsexperimentalfetchtodeviceFalseexperimentalreplicationmodeInputReplicationModePERWORKERPERWORKERexperimentalplacedatasetondeviceFalseexperimentalperreplicabuffersize2_mode_eager
[ RUN      ] DistributedIteratorTensorTypeTest.testMWMSPartialBatchWithLegacyRebatch_test_apitype_wrapintoiterator_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testMWMSPartialBatchWithLegacyRebatch_test_apitype_wrapintoiterator_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:39.378759 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testMWMSPartialBatchWithLegacyRebatch_test_apitype_wrapintoiterator_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTensorTypeTest.testMWMSPartialBatchWithLegacyRebatch_test_apitype_wrapintoiterator_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTensorTypeTest.testMWMSWithDataSharding_test_apitype_wrapintodataset_autoshardpolicy_AutoShardPolicyAUTO_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_getnext_mode_eager
W0313 03:12:39.379782 281473046311776 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.
W0313 03:12:39.380057 281473046311776 collective_all_reduce_strategy.py:395] Collective ops is not configured at program startup. Some performance features may not be enabled.
INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
I0313 03:12:39.387617 281473046311776 collective_all_reduce_strategy.py:447] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
INFO:tensorflow:Using local port 17449
I0313 03:12:39.389645 281473046311776 test_util.py:3797] Using local port 17449
INFO:tensorflow:Using local port 15703
I0313 03:12:39.390125 281473046311776 test_util.py:3797] Using local port 15703
2023-03-13 03:12:40.566395: 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`.
2023-03-13 03:12:40.620017: 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`.
I0313 03:12:43.237141 281473046311776 multi_process_runner.py:989] Waiting for the result from chief-0
[chief-0]:     I0313 03:12:43.261768 281473568764768 multi_process_runner.py:840] Subprocess with PID 1527050 (chief, 0) is now being started.
[chief-0]:     I0313 03:12:43.262311 281473568764768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"chief": ["localhost:17449"], "worker": ["localhost:15703"]}, "task": {"type": "chief", "index": 0}, "rpc_layer": "grpc"}'
[chief-0]:     E0313 03:12:43.344963825 1527050 server_chttp2.cc:40]        {"created":"@1678677163.344847188","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":"@1678677163.344841392","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":"@1678677163.344814339","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":"@1678677163.344802083","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":"@1678677163.344840372","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":"@1678677163.344833546","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"}]}]}]}
[chief-0]:     2023-03-13 03:12:43.345098: E tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:601] UNKNOWN: Could not start gRPC server
[worker-0]:    I0313 03:12:43.371270 281473568764768 multi_process_runner.py:840] Subprocess with PID 1527153 (worker, 0) is now being started.
[worker-0]:    I0313 03:12:43.371765 281473568764768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"chief": ["localhost:17449"], "worker": ["localhost:15703"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}'
[chief-0]:     2023-03-13 03:12:43.457052: E tensorflow/core/common_runtime/eager/context_distributed_manager.cc:699] Could not start gRPC server
[worker-0]:    2023-03-13 03:12:43.545052: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:15703
[worker-0]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1']
[worker-0]:    I0313 03:12:43.545604 281473568764768 collective_all_reduce_strategy.py:532] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1']
[chief-0]:     Process _Process-3:
[chief-0]:     Traceback (most recent call last):
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/strategy_combinations.py", line 195, in skip_if_cannot_start_grpc_server
[chief-0]:         return _create_multi_worker_mirrored()
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/strategy_combinations.py", line 177, in _create_multi_worker_mirrored
[chief-0]:         strategy = CollectiveAllReduceStrategy(cluster_resolver=resolver)
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 188, in __init__
[chief-0]:         CollectiveAllReduceExtended(
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 340, in __init__
[chief-0]:         self._initialize_strategy(self._cluster_resolver, devices=devices)
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 359, in _initialize_strategy
[chief-0]:         self._initialize_multi_worker(cluster_resolver)
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 531, in _initialize_multi_worker
[chief-0]:         context.context().ensure_initialized()
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/eager/context.py", line 595, in ensure_initialized
[chief-0]:         pywrap_tfe.TFE_EnableCollectiveOps(context_handle, server_def_str)
[chief-0]:     tensorflow.python.framework.errors_impl.UnknownError: Could not start gRPC server
[chief-0]:     
[chief-0]:     During handling of the above exception, another exception occurred:
[chief-0]:     
[chief-0]:     Traceback (most recent call last):
[chief-0]:       File "/usr/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap
[chief-0]:         self.run()
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755, in _run_with_setenv
[chief-0]:         return self._actual_run()
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in _run_with_absl
[chief-0]:         app.run(lambda _: self._run_impl())
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/absl_py/absl/app.py", line 312, in run
[chief-0]:         _run_main(main, args)
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/absl_py/absl/app.py", line 258, in _run_main
[chief-0]:         sys.exit(main(argv))
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in <lambda>
[chief-0]:         app.run(lambda _: self._run_impl())
[chief-0]:       File "/usr/lib/python3.8/multiprocessing/process.py", line 108, in run
[chief-0]:         self._target(*self._args, **self._kwargs)
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 866, in __call__
[chief-0]:         six.reraise(*info.exc_info)
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/six_archive/six.py", line 719, in reraise
[chief-0]:         raise value
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained
[chief-0]:         return_value = fn(*args, **kwargs)
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1026, in _pool_runner_worker
[chief-0]:         initializer()
[chief-0]:       File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/strategy_combinations.py", line 199, in skip_if_cannot_start_grpc_server
[chief-0]:         raise unittest.SkipTest("Cannot start std servers.")
[chief-0]:     unittest.case.SkipTest: Cannot start std servers.
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testMWMSWithDataSharding_test_apitype_wrapintodataset_autoshardpolicy_AutoShardPolicyAUTO_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_getnext_mode_eager): 4.18s
I0313 03:12:43.560140 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testMWMSWithDataSharding_test_apitype_wrapintodataset_autoshardpolicy_AutoShardPolicyAUTO_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_getnext_mode_eager): 4.18s
[  FAILED  ] DistributedIteratorTensorTypeTest.testMWMSWithDataSharding_test_apitype_wrapintodataset_autoshardpolicy_AutoShardPolicyAUTO_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTensorTypeTest.testMWMSWithDataSharding_test_apitype_wrapintoiterator_autoshardpolicy_AutoShardPolicyAUTO_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testMWMSWithDataSharding_test_apitype_wrapintoiterator_autoshardpolicy_AutoShardPolicyAUTO_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:43.564276 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testMWMSWithDataSharding_test_apitype_wrapintoiterator_autoshardpolicy_AutoShardPolicyAUTO_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTensorTypeTest.testMWMSWithDataSharding_test_apitype_wrapintoiterator_autoshardpolicy_AutoShardPolicyAUTO_distribution_MultiWorkerMirrored2x1GPU_inputtype_dataset_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptionalInLoop_test_distribution_MirroredCPUAndGPU_dropremainder_False_inputtype_inputfn_mode_eager_tfapiversion_2
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptionalInLoop_test_distribution_MirroredCPUAndGPU_dropremainder_False_inputtype_inputfn_mode_eager_tfapiversion_2): 0.0s
I0313 03:12:43.565253 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptionalInLoop_test_distribution_MirroredCPUAndGPU_dropremainder_False_inputtype_inputfn_mode_eager_tfapiversion_2): 0.0s
[  SKIPPED ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptionalInLoop_test_distribution_MirroredCPUAndGPU_dropremainder_False_inputtype_inputfn_mode_eager_tfapiversion_2
[ RUN      ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptionalInLoop_test_distribution_MultiWorkerMirrored2x1GPU_dropremainder_True_inputtype_inputfn_mode_eager_tfapiversion_2
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptionalInLoop_test_distribution_MultiWorkerMirrored2x1GPU_dropremainder_True_inputtype_inputfn_mode_eager_tfapiversion_2): 0.0s
I0313 03:12:43.566052 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptionalInLoop_test_distribution_MultiWorkerMirrored2x1GPU_dropremainder_True_inputtype_inputfn_mode_eager_tfapiversion_2): 0.0s
[  SKIPPED ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptionalInLoop_test_distribution_MultiWorkerMirrored2x1GPU_dropremainder_True_inputtype_inputfn_mode_eager_tfapiversion_2
[ RUN      ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_CentralStorageCPUAndGPU_dropremainder_False_enablegetnextasoptional_True_inputtype_dataset_mode_eager_tensortype_sparse
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_CentralStorageCPUAndGPU_dropremainder_False_enablegetnextasoptional_True_inputtype_dataset_mode_eager_tensortype_sparse): 0.0s
I0313 03:12:43.566762 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_CentralStorageCPUAndGPU_dropremainder_False_enablegetnextasoptional_True_inputtype_dataset_mode_eager_tensortype_sparse): 0.0s
[  SKIPPED ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_CentralStorageCPUAndGPU_dropremainder_False_enablegetnextasoptional_True_inputtype_dataset_mode_eager_tensortype_sparse
[ RUN      ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_CentralStorageCPUAndGPU_dropremainder_True_enablegetnextasoptional_True_inputtype_inputfn_mode_eager_tensortype_sparse
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_CentralStorageCPUAndGPU_dropremainder_True_enablegetnextasoptional_True_inputtype_inputfn_mode_eager_tensortype_sparse): 0.0s
I0313 03:12:43.567468 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_CentralStorageCPUAndGPU_dropremainder_True_enablegetnextasoptional_True_inputtype_inputfn_mode_eager_tensortype_sparse): 0.0s
[  SKIPPED ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_CentralStorageCPUAndGPU_dropremainder_True_enablegetnextasoptional_True_inputtype_inputfn_mode_eager_tensortype_sparse
[ RUN      ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_Mirrored1CPU_dropremainder_True_enablegetnextasoptional_False_inputtype_dataset_mode_eager_tensortype_sparse
WARNING:tensorflow:There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
W0313 03:12:43.569012 281473046311776 cross_device_ops.py:1387] There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
I0313 03:12:43.575402 281473046311776 mirrored_strategy.py:375] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
2023-03-13 03:12:43.694722: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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 and shape [20,3]
	 [[{{node Placeholder/_0}}]]
2023-03-13 03:12:43.696746: W tensorflow/core/grappler/optimizers/data/auto_shard.cc:786] AUTO sharding policy will apply DATA sharding policy as it failed to apply FILE sharding policy because of the following reason: Found an unshardable source dataset: name: "TensorSliceDataset/_1"
op: "TensorSliceDataset"
input: "Placeholder/_0"
attr {
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attr {
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    i: 20
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attr {
  key: "is_files"
  value {
    b: false
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attr {
  key: "metadata"
  value {
    s: "\n\025TensorSliceDataset:11"
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attr {
  key: "output_shapes"
  value {
    list {
      shape {
        dim {
          size: 3
        }
      }
    }
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attr {
  key: "replicate_on_split"
  value {
    b: false
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experimental_type {
  type_id: TFT_PRODUCT
  args {
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    args {
      type_id: TFT_PRODUCT
      args {
        type_id: TFT_TENSOR
        args {
          type_id: TFT_LEGACY_VARIANT
        }
      }
    }
  }
}

[worker-0]:    INFO:tensorflow:Check health not enabled.
[worker-0]:    I0313 03:12:43.696158 281473568764768 collective_all_reduce_strategy.py:575] Check health not enabled.
[worker-0]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'chief': ['localhost:17449'], 'worker': ['localhost:15703']}, task_type = 'worker', task_id = 0, num_workers = 2, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    I0313 03:12:43.696460 281473568764768 collective_all_reduce_strategy.py:577] MultiWorkerMirroredStrategy with cluster_spec = {'chief': ['localhost:17449'], 'worker': ['localhost:15703']}, task_type = 'worker', task_id = 0, num_workers = 2, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
2023-03-13 03:12:43.709250: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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 and shape [20,3]
	 [[{{node Placeholder/_0}}]]
2023-03-13 03:12:43.709828: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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 and shape [20,3]
	 [[{{node Placeholder/_0}}]]
2023-03-13 03:12:43.793942: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_Mirrored1CPU_dropremainder_True_enablegetnextasoptional_False_inputtype_dataset_mode_eager_tensortype_sparse): 0.28s
I0313 03:12:43.843354 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_Mirrored1CPU_dropremainder_True_enablegetnextasoptional_False_inputtype_dataset_mode_eager_tensortype_sparse): 0.28s
[       OK ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_Mirrored1CPU_dropremainder_True_enablegetnextasoptional_False_inputtype_dataset_mode_eager_tensortype_sparse
[ RUN      ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_MirroredCPUAndGPU_dropremainder_False_enablegetnextasoptional_False_inputtype_inputfn_mode_eager_tensortype_sparse
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_MirroredCPUAndGPU_dropremainder_False_enablegetnextasoptional_False_inputtype_inputfn_mode_eager_tensortype_sparse): 0.0s
I0313 03:12:43.846262 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_MirroredCPUAndGPU_dropremainder_False_enablegetnextasoptional_False_inputtype_inputfn_mode_eager_tensortype_sparse): 0.0s
[  SKIPPED ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_MirroredCPUAndGPU_dropremainder_False_enablegetnextasoptional_False_inputtype_inputfn_mode_eager_tensortype_sparse
[ RUN      ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_MirroredCPUAndGPU_dropremainder_True_enablegetnextasoptional_True_inputtype_dataset_mode_eager_tensortype_sparse
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_MirroredCPUAndGPU_dropremainder_True_enablegetnextasoptional_True_inputtype_dataset_mode_eager_tensortype_sparse): 0.0s
I0313 03:12:43.847841 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_MirroredCPUAndGPU_dropremainder_True_enablegetnextasoptional_True_inputtype_dataset_mode_eager_tensortype_sparse): 0.0s
[  SKIPPED ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_MirroredCPUAndGPU_dropremainder_True_enablegetnextasoptional_True_inputtype_dataset_mode_eager_tensortype_sparse
[ RUN      ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_OneDeviceCPU_dropremainder_False_enablegetnextasoptional_True_inputtype_inputfn_mode_eager_tensortype_sparse
2023-03-13 03:12:43.898631: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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 and shape [20,3]
	 [[{{node Placeholder/_0}}]]
2023-03-13 03:12:44.276553: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_OneDeviceCPU_dropremainder_False_enablegetnextasoptional_True_inputtype_inputfn_mode_eager_tensortype_sparse): 0.71s
I0313 03:12:44.557277 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_OneDeviceCPU_dropremainder_False_enablegetnextasoptional_True_inputtype_inputfn_mode_eager_tensortype_sparse): 0.71s
[       OK ] DistributedIteratorTensorTypeTest.testRaggedSparseGetNextAsOptional_test_distribution_OneDeviceCPU_dropremainder_False_enablegetnextasoptional_True_inputtype_inputfn_mode_eager_tensortype_sparse
[ RUN      ] DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_lambda_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_lambda_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_mode_eager): 0.0s
I0313 03:12:44.560551 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_lambda_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_lambda_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_mode_eager
[ RUN      ] DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_lambda_distribution_MultiWorkerMirrored2x2GPU_dropremainder_True_inputtype_inputfn_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_lambda_distribution_MultiWorkerMirrored2x2GPU_dropremainder_True_inputtype_inputfn_mode_eager): 0.0s
I0313 03:12:44.561720 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_lambda_distribution_MultiWorkerMirrored2x2GPU_dropremainder_True_inputtype_inputfn_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_lambda_distribution_MultiWorkerMirrored2x2GPU_dropremainder_True_inputtype_inputfn_mode_eager
[ RUN      ] DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_tffunction_distribution_MultiWorkerMirrored2x2GPU_dropremainder_False_inputtype_inputfn_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_tffunction_distribution_MultiWorkerMirrored2x2GPU_dropremainder_False_inputtype_inputfn_mode_eager): 0.0s
I0313 03:12:44.562586 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_tffunction_distribution_MultiWorkerMirrored2x2GPU_dropremainder_False_inputtype_inputfn_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTensorTypeTest.testRaggedSparse_test_defuntype_tffunction_distribution_MultiWorkerMirrored2x2GPU_dropremainder_False_inputtype_inputfn_mode_eager
[ RUN      ] DistributedIteratorTest.testAutoshardingOption_test_apitype_wrapintoiterator_autoshardpolicy_AutoShardPolicyOFF_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_forloop_mode_eager
W0313 03:12:44.563873 281473046311776 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.
W0313 03:12:44.564211 281473046311776 collective_all_reduce_strategy.py:395] Collective ops is not configured at program startup. Some performance features may not be enabled.
INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
I0313 03:12:44.572471 281473046311776 collective_all_reduce_strategy.py:447] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
INFO:tensorflow:time(__main__.DistributedIteratorTest.testAutoshardingOption_test_apitype_wrapintoiterator_autoshardpolicy_AutoShardPolicyOFF_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_forloop_mode_eager): 0.01s
I0313 03:12:44.573787 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testAutoshardingOption_test_apitype_wrapintoiterator_autoshardpolicy_AutoShardPolicyOFF_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_forloop_mode_eager): 0.01s
[  FAILED  ] DistributedIteratorTest.testAutoshardingOption_test_apitype_wrapintoiterator_autoshardpolicy_AutoShardPolicyOFF_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testBatchSplittingMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager_numreplicasinsync_2
INFO:tensorflow:time(__main__.DistributedIteratorTest.testBatchSplittingMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager_numreplicasinsync_2): 0.0s
I0313 03:12:44.575861 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testBatchSplittingMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager_numreplicasinsync_2): 0.0s
[  SKIPPED ] DistributedIteratorTest.testBatchSplittingMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager_numreplicasinsync_2
[ RUN      ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_graph_numreplicasinsync_2
INFO:tensorflow:time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_graph_numreplicasinsync_2): 0.0s
I0313 03:12:44.577086 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_graph_numreplicasinsync_2): 0.0s
[  SKIPPED ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_graph_numreplicasinsync_2
[ RUN      ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager_numreplicasinsync_2
INFO:tensorflow:time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager_numreplicasinsync_2): 0.0s
I0313 03:12:44.577901 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager_numreplicasinsync_2): 0.0s
[  SKIPPED ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager_numreplicasinsync_2
[ RUN      ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_graph_numreplicasinsync_2
INFO:tensorflow:time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_graph_numreplicasinsync_2): 0.0s
I0313 03:12:44.578698 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_graph_numreplicasinsync_2): 0.0s
[  SKIPPED ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_graph_numreplicasinsync_2
[ RUN      ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager_numreplicasinsync_2
INFO:tensorflow:time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager_numreplicasinsync_2): 0.0s
I0313 03:12:44.579520 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager_numreplicasinsync_2): 0.0s
[  SKIPPED ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager_numreplicasinsync_2
[ RUN      ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_graph_numreplicasinsync_2
INFO:tensorflow:time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_graph_numreplicasinsync_2): 0.0s
I0313 03:12:44.580319 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_graph_numreplicasinsync_2): 0.0s
[  SKIPPED ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_graph_numreplicasinsync_2
[ RUN      ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager_numreplicasinsync_2
INFO:tensorflow:time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager_numreplicasinsync_2): 0.0s
I0313 03:12:44.581100 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager_numreplicasinsync_2): 0.0s
[  SKIPPED ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager_numreplicasinsync_2
[ RUN      ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_graph_numreplicasinsync_2
INFO:tensorflow:time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_graph_numreplicasinsync_2): 0.0s
I0313 03:12:44.581844 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_graph_numreplicasinsync_2): 0.0s
[  SKIPPED ] DistributedIteratorTest.testBatchSplitting_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_graph_numreplicasinsync_2
[ RUN      ] DistributedIteratorTest.testDifferentDatasetsMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_inputtype_inputfn_iterationtype_forloop_mode_eager
W0313 03:12:44.582914 281473046311776 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.
W0313 03:12:44.583205 281473046311776 collective_all_reduce_strategy.py:395] Collective ops is not configured at program startup. Some performance features may not be enabled.
INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
I0313 03:12:44.591194 281473046311776 collective_all_reduce_strategy.py:447] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
INFO:tensorflow:time(__main__.DistributedIteratorTest.testDifferentDatasetsMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.01s
I0313 03:12:44.592340 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testDifferentDatasetsMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.01s
[  FAILED  ] DistributedIteratorTest.testDifferentDatasetsMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_inputtype_inputfn_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testGetNextOptionalShapeFinite_test_distribution_CentralStorage2GPUs_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testGetNextOptionalShapeFinite_test_distribution_CentralStorage2GPUs_mode_eager): 0.0s
I0313 03:12:44.594264 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testGetNextOptionalShapeFinite_test_distribution_CentralStorage2GPUs_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testGetNextOptionalShapeFinite_test_distribution_CentralStorage2GPUs_mode_eager
[ RUN      ] DistributedIteratorTest.testGetNextOptionalShapeInfinite_test_distribution_MirroredCPUAndGPU_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testGetNextOptionalShapeInfinite_test_distribution_MirroredCPUAndGPU_mode_eager): 0.0s
I0313 03:12:44.595140 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testGetNextOptionalShapeInfinite_test_distribution_MirroredCPUAndGPU_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testGetNextOptionalShapeInfinite_test_distribution_MirroredCPUAndGPU_mode_eager
[ RUN      ] DistributedIteratorTest.testIterableIterator_test_distribution_OneDeviceCPU_mode_eager
2023-03-13 03:12:44.637000: W tensorflow/core/grappler/optimizers/data/auto_shard.cc:786] AUTO sharding policy will apply DATA sharding policy as it failed to apply FILE sharding policy because of the following reason: Found an unshardable source dataset: name: "RangeDataset/_3"
op: "RangeDataset"
input: "Const/_0"
input: "Const/_1"
input: "Const/_2"
attr {
  key: "_cardinality"
  value {
    i: 10
  }
}
attr {
  key: "metadata"
  value {
    s: "\n\017RangeDataset:31"
  }
}
attr {
  key: "output_shapes"
  value {
    list {
      shape {
      }
    }
  }
}
attr {
  key: "output_types"
  value {
    list {
      type: DT_INT64
    }
  }
}
attr {
  key: "replicate_on_split"
  value {
    b: false
  }
}
experimental_type {
  type_id: TFT_PRODUCT
  args {
    type_id: TFT_DATASET
    args {
      type_id: TFT_PRODUCT
      args {
        type_id: TFT_TENSOR
        args {
          type_id: TFT_INT64
        }
      }
    }
  }
}

2023-03-13 03:12:44.748276: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
INFO:tensorflow:time(__main__.DistributedIteratorTest.testIterableIterator_test_distribution_OneDeviceCPU_mode_eager): 0.34s
I0313 03:12:44.938532 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testIterableIterator_test_distribution_OneDeviceCPU_mode_eager): 0.34s
[       OK ] DistributedIteratorTest.testIterableIterator_test_distribution_OneDeviceCPU_mode_eager
[ RUN      ] DistributedIteratorTest.testOneDeviceCPUMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
W0313 03:12:44.941455 281473046311776 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.
W0313 03:12:44.941820 281473046311776 collective_all_reduce_strategy.py:395] Collective ops is not configured at program startup. Some performance features may not be enabled.
INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
I0313 03:12:44.948583 281473046311776 collective_all_reduce_strategy.py:447] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
INFO:tensorflow:time(__main__.DistributedIteratorTest.testOneDeviceCPUMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.01s
I0313 03:12:44.949707 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testOneDeviceCPUMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.01s
[  FAILED  ] DistributedIteratorTest.testOneDeviceCPUMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_Mirrored1CPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
WARNING:tensorflow:There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
W0313 03:12:44.952250 281473046311776 cross_device_ops.py:1387] There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
I0313 03:12:44.957582 281473046311776 mirrored_strategy.py:375] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
2023-03-13 03:12:45.055497: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
2023-03-13 03:12:45.189499: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
INFO:tensorflow:time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_Mirrored1CPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.37s
I0313 03:12:45.317762 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_Mirrored1CPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.37s
[       OK ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_Mirrored1CPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_Mirrored1CPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager
WARNING:tensorflow:There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
W0313 03:12:45.320978 281473046311776 cross_device_ops.py:1387] There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
I0313 03:12:45.325658 281473046311776 mirrored_strategy.py:375] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
2023-03-13 03:12:45.494152: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
2023-03-13 03:12:45.809268: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
2023-03-13 03:12:45.985949: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
INFO:tensorflow:time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_Mirrored1CPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager): 1.11s
I0313 03:12:46.427520 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_Mirrored1CPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager): 1.11s
[       OK ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_Mirrored1CPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_OneDeviceCPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager
2023-03-13 03:12:46.447104: W tensorflow/core/grappler/optimizers/data/auto_shard.cc:786] AUTO sharding policy will apply DATA sharding policy as it failed to apply FILE sharding policy because of the following reason: Found an unshardable source dataset: name: "RangeDataset/_3"
op: "RangeDataset"
input: "Const/_0"
input: "Const/_1"
input: "Const/_2"
attr {
  key: "_cardinality"
  value {
    i: 10
  }
}
attr {
  key: "metadata"
  value {
    s: "\n\017RangeDataset:72"
  }
}
attr {
  key: "output_shapes"
  value {
    list {
      shape {
      }
    }
  }
}
attr {
  key: "output_types"
  value {
    list {
      type: DT_INT64
    }
  }
}
attr {
  key: "replicate_on_split"
  value {
    b: false
  }
}
experimental_type {
  type_id: TFT_PRODUCT
  args {
    type_id: TFT_DATASET
    args {
      type_id: TFT_PRODUCT
      args {
        type_id: TFT_TENSOR
        args {
          type_id: TFT_INT64
        }
      }
    }
  }
}

2023-03-13 03:12:46.542366: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
2023-03-13 03:12:46.660908: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
INFO:tensorflow:time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_OneDeviceCPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.35s
I0313 03:12:46.777313 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_OneDeviceCPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.35s
[       OK ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintodataset_distribution_OneDeviceCPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_Mirrored1CPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager
WARNING:tensorflow:There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
W0313 03:12:46.781008 281473046311776 cross_device_ops.py:1387] There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
I0313 03:12:46.786349 281473046311776 mirrored_strategy.py:375] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
2023-03-13 03:12:46.803993: W tensorflow/core/grappler/optimizers/data/auto_shard.cc:786] AUTO sharding policy will apply DATA sharding policy as it failed to apply FILE sharding policy because of the following reason: Found an unshardable source dataset: name: "RangeDataset/_3"
op: "RangeDataset"
input: "Const/_0"
input: "Const/_1"
input: "Const/_2"
attr {
  key: "_cardinality"
  value {
    i: 10
  }
}
attr {
  key: "metadata"
  value {
    s: "\n\017RangeDataset:87"
  }
}
attr {
  key: "output_shapes"
  value {
    list {
      shape {
      }
    }
  }
}
attr {
  key: "output_types"
  value {
    list {
      type: DT_INT64
    }
  }
}
attr {
  key: "replicate_on_split"
  value {
    b: false
  }
}
experimental_type {
  type_id: TFT_PRODUCT
  args {
    type_id: TFT_DATASET
    args {
      type_id: TFT_PRODUCT
      args {
        type_id: TFT_TENSOR
        args {
          type_id: TFT_INT64
        }
      }
    }
  }
}

2023-03-13 03:12:46.925880: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
INFO:tensorflow:time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_Mirrored1CPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager): 0.26s
I0313 03:12:47.036022 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_Mirrored1CPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager): 0.26s
[  SKIPPED ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_Mirrored1CPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_Mirrored1CPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_forloop_mode_eager
WARNING:tensorflow:There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
W0313 03:12:47.039423 281473046311776 cross_device_ops.py:1387] There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
I0313 03:12:47.044585 281473046311776 mirrored_strategy.py:375] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
INFO:tensorflow:time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_Mirrored1CPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.01s
I0313 03:12:47.045242 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_Mirrored1CPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.01s
[  SKIPPED ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_Mirrored1CPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_OneDeviceCPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_OneDeviceCPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.046714 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_OneDeviceCPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testOneDeviceCPU_test_apitype_wrapintoiterator_distribution_OneDeviceCPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testShuffleAcrossIterations_test_distribution_CentralStorage2GPUs_mode_eager_reshuffle_False
INFO:tensorflow:time(__main__.DistributedIteratorTest.testShuffleAcrossIterations_test_distribution_CentralStorage2GPUs_mode_eager_reshuffle_False): 0.0s
I0313 03:12:47.047535 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testShuffleAcrossIterations_test_distribution_CentralStorage2GPUs_mode_eager_reshuffle_False): 0.0s
[  SKIPPED ] DistributedIteratorTest.testShuffleAcrossIterations_test_distribution_CentralStorage2GPUs_mode_eager_reshuffle_False
[ RUN      ] DistributedIteratorTest.testShuffleAcrossIterations_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_reshuffle_False
INFO:tensorflow:time(__main__.DistributedIteratorTest.testShuffleAcrossIterations_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_reshuffle_False): 0.0s
I0313 03:12:47.048230 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testShuffleAcrossIterations_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_reshuffle_False): 0.0s
[  SKIPPED ] DistributedIteratorTest.testShuffleAcrossIterations_test_distribution_MultiWorkerMirrored2x2GPU_mode_eager_reshuffle_False
[ RUN      ] DistributedIteratorTest.testTPU_test_apitype_wrapintodataset_distribution_TPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTPU_test_apitype_wrapintodataset_distribution_TPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.048933 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTPU_test_apitype_wrapintodataset_distribution_TPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTPU_test_apitype_wrapintodataset_distribution_TPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testTPU_test_apitype_wrapintodataset_distribution_TPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTPU_test_apitype_wrapintodataset_distribution_TPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.049614 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTPU_test_apitype_wrapintodataset_distribution_TPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTPU_test_apitype_wrapintodataset_distribution_TPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testTPU_test_apitype_wrapintoiterator_distribution_TPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTPU_test_apitype_wrapintoiterator_distribution_TPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.050283 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTPU_test_apitype_wrapintoiterator_distribution_TPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTPU_test_apitype_wrapintoiterator_distribution_TPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testTupleDatasetMultiworker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPUNoMergeCall_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTupleDatasetMultiworker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPUNoMergeCall_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.050981 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTupleDatasetMultiworker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPUNoMergeCall_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTupleDatasetMultiworker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPUNoMergeCall_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testTupleDatasetMultiworker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTupleDatasetMultiworker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.051684 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTupleDatasetMultiworker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTupleDatasetMultiworker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.052392 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.053082 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.053774 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.054467 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.055159 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.055847 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTupleDataset_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.056653 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.057343 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.058025 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.058697 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_False_inputtype_dataset_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.059367 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_enablegetnextasoptional_True_inputtype_dataset_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.060045 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.060717 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testTwoDevicesOneGPUOneCPU_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_enablegetnextasoptional_True_inputtype_inputfn_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testUnevenDatasetBatchesMultiWorkerFourReplicas_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_dropremainder_False_inputtype_dataset_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testUnevenDatasetBatchesMultiWorkerFourReplicas_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_dropremainder_False_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.061391 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testUnevenDatasetBatchesMultiWorkerFourReplicas_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_dropremainder_False_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testUnevenDatasetBatchesMultiWorkerFourReplicas_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x2GPU_dropremainder_False_inputtype_dataset_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testUnevenDatasetBatchesMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_dropremainder_False_inputtype_inputfn_iterationtype_forloop_mode_eager
W0313 03:12:47.062356 281473046311776 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.
W0313 03:12:47.062640 281473046311776 collective_all_reduce_strategy.py:395] Collective ops is not configured at program startup. Some performance features may not be enabled.
INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
I0313 03:12:47.068856 281473046311776 collective_all_reduce_strategy.py:447] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
INFO:tensorflow:time(__main__.DistributedIteratorTest.testUnevenDatasetBatchesMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_dropremainder_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.01s
I0313 03:12:47.069948 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testUnevenDatasetBatchesMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_dropremainder_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.01s
[  FAILED  ] DistributedIteratorTest.testUnevenDatasetBatchesMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_dropremainder_False_inputtype_inputfn_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testUnevenDatasetBatchesMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1GPU_dropremainder_True_inputtype_dataset_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testUnevenDatasetBatchesMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1GPU_dropremainder_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.071686 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testUnevenDatasetBatchesMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1GPU_dropremainder_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testUnevenDatasetBatchesMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1GPU_dropremainder_True_inputtype_dataset_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.072458 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_dropremainder_False_inputtype_dataset_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_dropremainder_False_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.073149 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_dropremainder_False_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_dropremainder_False_inputtype_dataset_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_dropremainder_True_inputtype_dataset_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_dropremainder_True_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.073816 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_dropremainder_True_inputtype_dataset_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintodataset_distribution_MirroredCPUAndGPU_dropremainder_True_inputtype_dataset_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.074465 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_dropremainder_False_inputtype_inputfn_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_dropremainder_True_inputtype_inputfn_iterationtype_getnext_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_dropremainder_True_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
I0313 03:12:47.075104 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_dropremainder_True_inputtype_inputfn_iterationtype_getnext_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_CentralStorageCPUAndGPU_dropremainder_True_inputtype_inputfn_iterationtype_getnext_mode_eager
[ RUN      ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_dropremainder_True_inputtype_dataset_iterationtype_forloop_mode_eager
INFO:tensorflow:time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_dropremainder_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
I0313 03:12:47.075764 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_dropremainder_True_inputtype_dataset_iterationtype_forloop_mode_eager): 0.0s
[  SKIPPED ] DistributedIteratorTest.testUnevenDatasetBatches_test_apitype_wrapintoiterator_distribution_MirroredCPUAndGPU_dropremainder_True_inputtype_dataset_iterationtype_forloop_mode_eager
[ RUN      ] DistributedIteratorTfDataServiceTest.testDistributeDatasetFromFunctionNested_test_distribution_CentralStorage2GPUs_mode_eager
2023-03-13 03:12:47.078000: I tensorflow/core/data/service/dispatcher_impl.cc:221] Running with fault_tolerant_mode=False. The dispatcher will not be able to recover its state on restart.
2023-03-13 03:12:47.078043: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data DispatchServer running at 0.0.0.0:35827
2023-03-13 03:12:47.080804: I tensorflow/core/data/service/worker_impl.cc:181] Worker registered with dispatcher running at localhost:35827
2023-03-13 03:12:47.081065: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:42129
2023-03-13 03:12:47.083396: I tensorflow/core/data/service/worker_impl.cc:181] Worker registered with dispatcher running at localhost:35827
2023-03-13 03:12:47.083610: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:39331
2023-03-13 03:12:47.086266: I tensorflow/core/data/service/worker_impl.cc:181] Worker registered with dispatcher running at localhost:35827
2023-03-13 03:12:47.086515: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:34725
INFO:tensorflow:time(__main__.DistributedIteratorTfDataServiceTest.testDistributeDatasetFromFunctionNested_test_distribution_CentralStorage2GPUs_mode_eager): 0.01s
I0313 03:12:47.086868 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTfDataServiceTest.testDistributeDatasetFromFunctionNested_test_distribution_CentralStorage2GPUs_mode_eager): 0.01s
[  SKIPPED ] DistributedIteratorTfDataServiceTest.testDistributeDatasetFromFunctionNested_test_distribution_CentralStorage2GPUs_mode_eager
[ RUN      ] DistributedIteratorTfDataServiceTest.testDistributeDatasetFromFunction_test_distribution_Mirrored1CPU_mode_eager
2023-03-13 03:12:47.088243: I tensorflow/core/data/service/dispatcher_impl.cc:221] Running with fault_tolerant_mode=False. The dispatcher will not be able to recover its state on restart.
2023-03-13 03:12:47.088287: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data DispatchServer running at 0.0.0.0:37129
2023-03-13 03:12:47.090391: I tensorflow/core/data/service/worker_impl.cc:181] Worker registered with dispatcher running at localhost:37129
2023-03-13 03:12:47.090693: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:43699
2023-03-13 03:12:47.092562: I tensorflow/core/data/service/worker_impl.cc:181] Worker registered with dispatcher running at localhost:37129
2023-03-13 03:12:47.092800: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:43341
2023-03-13 03:12:47.094553: I tensorflow/core/data/service/worker_impl.cc:181] Worker registered with dispatcher running at localhost:37129
2023-03-13 03:12:47.094785: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:46181
WARNING:tensorflow:There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
W0313 03:12:47.095848 281473046311776 cross_device_ops.py:1387] There are non-GPU devices in `tf.distribute.Strategy`, not using nccl allreduce.
INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
I0313 03:12:47.100919 281473046311776 mirrored_strategy.py:375] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
I0313 03:12:47.236500 281458702545376 multi_process_runner.py:715] chief-0 has already exited. Not terminating.
I0313 03:12:47.237463 281458702545376 multi_process_runner.py:721] worker-0 terminated with signal <Signals.SIGKILL: 9>.
2023-03-13 03:12:47.350773: I tensorflow/core/common_runtime/executor.cc:1210] [/device:CPU:0] (DEBUG INFO) Executor start 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}}]]
INFO:tensorflow:time(__main__.DistributedIteratorTfDataServiceTest.testDistributeDatasetFromFunction_test_distribution_Mirrored1CPU_mode_eager): 2.1s
I0313 03:12:49.186511 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTfDataServiceTest.testDistributeDatasetFromFunction_test_distribution_Mirrored1CPU_mode_eager): 2.1s
[       OK ] DistributedIteratorTfDataServiceTest.testDistributeDatasetFromFunction_test_distribution_Mirrored1CPU_mode_eager
[ RUN      ] DistributedIteratorTfDataServiceTest.testTfDataService_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager
2023-03-13 03:12:49.189931: I tensorflow/core/data/service/dispatcher_impl.cc:221] Running with fault_tolerant_mode=False. The dispatcher will not be able to recover its state on restart.
2023-03-13 03:12:49.189987: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data DispatchServer running at 0.0.0.0:42157
2023-03-13 03:12:49.198445: I tensorflow/core/data/service/worker_impl.cc:181] Worker registered with dispatcher running at localhost:42157
2023-03-13 03:12:49.198749: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:35909
2023-03-13 03:12:49.219428: I tensorflow/core/data/service/worker_impl.cc:181] Worker registered with dispatcher running at localhost:42157
2023-03-13 03:12:49.219758: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:34031
2023-03-13 03:12:49.222388: I tensorflow/core/data/service/worker_impl.cc:181] Worker registered with dispatcher running at localhost:42157
2023-03-13 03:12:49.222818: I tensorflow/core/data/service/server_lib.cc:82] Started tf.data WorkerServer running at 0.0.0.0:37301
W0313 03:12:49.223510 281473046311776 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.
W0313 03:12:49.223886 281473046311776 collective_all_reduce_strategy.py:395] Collective ops is not configured at program startup. Some performance features may not be enabled.
INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
I0313 03:12:49.231190 281473046311776 collective_all_reduce_strategy.py:447] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
INFO:tensorflow:time(__main__.DistributedIteratorTfDataServiceTest.testTfDataService_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager): 0.04s
I0313 03:12:49.232326 281473046311776 test_util.py:2467] time(__main__.DistributedIteratorTfDataServiceTest.testTfDataService_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager): 0.04s
[  FAILED  ] DistributedIteratorTfDataServiceTest.testTfDataService_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager
I0313 03:12:49.233763 281473046311776 multi_process_runner.py:646] chief-0 exit code: 1
I0313 03:12:49.233940 281473046311776 multi_process_runner.py:646] worker-0 exit code: -9
E0313 03:12:49.239855 281473046311776 multi_process_runner.py:933] Ignoring exception when shutting down MultiProcessPoolRunner: Cannot start std servers.
======================================================================
ERROR: testMWMSWithDataSharding_test_apitype_wrapintodataset_autoshardpolicy_AutoShardPolicyAUTO_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_getnext_mode_eager (__main__.DistributedIteratorTensorTypeTest)
DistributedIteratorTensorTypeTest.testMWMSWithDataSharding_test_apitype_wrapintodataset_autoshardpolicy_AutoShardPolicyAUTO_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_getnext_mode_eager
testMWMSWithDataSharding_test_apitype_wrapintodataset_autoshardpolicy_AutoShardPolicyAUTO_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_getnext_mode_eager(api_type='wrap_into_dataset', auto_shard_policy=<AutoShardPolicy.AUTO: 0>, distribution=MultiWorkerMirrored2x1CPU, input_type='dataset', iteration_type='get_next', mode='eager')
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, 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/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 360, in decorated
    execute_test_method()
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 343, in execute_test_method
    test_method(**kwargs_to_pass)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/combinations.py", line 580, in decorator
    results = runner.run(_test_runner, args=(test_id, _env))
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 991, in run
    process_statuses.append(conn.recv())
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 250, in recv
    buf = self._recv_bytes()
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes
    buf = self._recv(4)
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 379, in _recv
    chunk = read(handle, remaining)
ConnectionResetError: [Errno 104] Connection reset by peer

======================================================================
ERROR: testAutoshardingOption_test_apitype_wrapintoiterator_autoshardpolicy_AutoShardPolicyOFF_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_forloop_mode_eager (__main__.DistributedIteratorTest)
DistributedIteratorTest.testAutoshardingOption_test_apitype_wrapintoiterator_autoshardpolicy_AutoShardPolicyOFF_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_forloop_mode_eager
testAutoshardingOption_test_apitype_wrapintoiterator_autoshardpolicy_AutoShardPolicyOFF_distribution_MultiWorkerMirrored2x1CPU_inputtype_dataset_iterationtype_forloop_mode_eager(api_type='wrap_into_iterator', auto_shard_policy=<AutoShardPolicy.OFF: -1>, distribution=MultiWorkerMirrored2x1CPU, input_type='dataset', iteration_type='for_loop', mode='eager')
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, 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/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 360, in decorated
    execute_test_method()
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 343, in execute_test_method
    test_method(**kwargs_to_pass)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/combinations.py", line 580, in decorator
    results = runner.run(_test_runner, args=(test_id, _env))
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 985, in run
    conn.send((fn, args or [], kwargs or {}))
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 206, in send
    self._send_bytes(_ForkingPickler.dumps(obj))
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 411, in _send_bytes
    self._send(header + buf)
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 368, in _send
    n = write(self._handle, buf)
BrokenPipeError: [Errno 32] Broken pipe

======================================================================
ERROR: testDifferentDatasetsMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_inputtype_inputfn_iterationtype_forloop_mode_eager (__main__.DistributedIteratorTest)
DistributedIteratorTest.testDifferentDatasetsMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_inputtype_inputfn_iterationtype_forloop_mode_eager
testDifferentDatasetsMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_inputtype_inputfn_iterationtype_forloop_mode_eager(api_type='wrap_into_dataset', distribution=MultiWorkerMirrored2x1CPU, input_type='input_fn', iteration_type='for_loop', mode='eager')
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, 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/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 360, in decorated
    execute_test_method()
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 343, in execute_test_method
    test_method(**kwargs_to_pass)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/combinations.py", line 580, in decorator
    results = runner.run(_test_runner, args=(test_id, _env))
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 985, in run
    conn.send((fn, args or [], kwargs or {}))
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 206, in send
    self._send_bytes(_ForkingPickler.dumps(obj))
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 411, in _send_bytes
    self._send(header + buf)
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 368, in _send
    n = write(self._handle, buf)
BrokenPipeError: [Errno 32] Broken pipe

======================================================================
ERROR: testOneDeviceCPUMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager (__main__.DistributedIteratorTest)
DistributedIteratorTest.testOneDeviceCPUMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager
testOneDeviceCPUMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_enablegetnextasoptional_False_inputtype_inputfn_iterationtype_forloop_mode_eager(api_type='wrap_into_dataset', distribution=MultiWorkerMirrored2x1CPU, enable_get_next_as_optional=False, input_type='input_fn', iteration_type='for_loop', mode='eager')
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, 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/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 360, in decorated
    execute_test_method()
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 343, in execute_test_method
    test_method(**kwargs_to_pass)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/combinations.py", line 580, in decorator
    results = runner.run(_test_runner, args=(test_id, _env))
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 985, in run
    conn.send((fn, args or [], kwargs or {}))
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 206, in send
    self._send_bytes(_ForkingPickler.dumps(obj))
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 411, in _send_bytes
    self._send(header + buf)
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 368, in _send
    n = write(self._handle, buf)
BrokenPipeError: [Errno 32] Broken pipe

======================================================================
ERROR: testUnevenDatasetBatchesMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_dropremainder_False_inputtype_inputfn_iterationtype_forloop_mode_eager (__main__.DistributedIteratorTest)
DistributedIteratorTest.testUnevenDatasetBatchesMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_dropremainder_False_inputtype_inputfn_iterationtype_forloop_mode_eager
testUnevenDatasetBatchesMultiWorker_test_apitype_wrapintodataset_distribution_MultiWorkerMirrored2x1CPU_dropremainder_False_inputtype_inputfn_iterationtype_forloop_mode_eager(api_type='wrap_into_dataset', distribution=MultiWorkerMirrored2x1CPU, drop_remainder=False, input_type='input_fn', iteration_type='for_loop', mode='eager')
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, 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/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 360, in decorated
    execute_test_method()
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 343, in execute_test_method
    test_method(**kwargs_to_pass)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/combinations.py", line 580, in decorator
    results = runner.run(_test_runner, args=(test_id, _env))
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 985, in run
    conn.send((fn, args or [], kwargs or {}))
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 206, in send
    self._send_bytes(_ForkingPickler.dumps(obj))
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 411, in _send_bytes
    self._send(header + buf)
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 368, in _send
    n = write(self._handle, buf)
BrokenPipeError: [Errno 32] Broken pipe

======================================================================
ERROR: testTfDataService_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager (__main__.DistributedIteratorTfDataServiceTest)
DistributedIteratorTfDataServiceTest.testTfDataService_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager
testTfDataService_test_distribution_MultiWorkerMirrored2x1CPU_mode_eager(distribution=MultiWorkerMirrored2x1CPU, mode='eager')
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, 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/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 360, in decorated
    execute_test_method()
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_combinations.py", line 343, in execute_test_method
    test_method(**kwargs_to_pass)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/combinations.py", line 580, in decorator
    results = runner.run(_test_runner, args=(test_id, _env))
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/input_lib_test_cpu.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 985, in run
    conn.send((fn, args or [], kwargs or {}))
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 206, in send
    self._send_bytes(_ForkingPickler.dumps(obj))
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 411, in _send_bytes
    self._send(header + buf)
  File "/usr/lib/python3.8/multiprocessing/connection.py", line 368, in _send
    n = write(self._handle, buf)
BrokenPipeError: [Errno 32] Broken pipe

----------------------------------------------------------------------
Ran 71 tests in 11.115s

FAILED (errors=6, skipped=57)
2023-03-13 03:12:49.559799: I tensorflow/core/data/service/server_lib.cc:94] Shut down DispatchServer server running at port 42157
2023-03-13 03:12:49.560132: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 35909
2023-03-13 03:12:49.560372: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 34031
2023-03-13 03:12:49.560638: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 37301
2023-03-13 03:12:49.561660: I tensorflow/core/data/service/server_lib.cc:94] Shut down DispatchServer server running at port 35827
2023-03-13 03:12:49.561914: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 42129
2023-03-13 03:12:49.562147: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 39331
2023-03-13 03:12:49.562367: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 34725
2023-03-13 03:12:49.571018: I tensorflow/core/data/service/server_lib.cc:94] Shut down DispatchServer server running at port 37129
2023-03-13 03:12:49.571805: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 43699
2023-03-13 03:12:49.572346: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 43341
2023-03-13 03:12:49.572827: I tensorflow/core/data/service/server_lib.cc:94] Shut down WorkerServer server running at port 46181
================================================================================
==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10):
2023-03-13 03:23:32.841313: 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 3.8.10: /usr/local/bin/python3
[ RUN      ] PoolingTest.testAvgPoolEmpty5 (pool_func=<function avg_pool at 0xffff84cee670>, 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.
W0313 03:23:37.440710 281473085043552 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=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s
I0313 03:23:37.446328 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s
[  SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [0, 8, 8, 8] 0 <function avg_pool at 0xffff84cee670> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:37.447369 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 <function avg_pool at 0xffff84cee670> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
2023-03-13 03:23:37.505674: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:353] MLIR V1 optimization pass is not enabled
2023-03-13 03:23:37.518342: 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=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.08s
I0313 03:23:37.525858 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.08s
[       OK ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.1s
I0313 03:23:37.628388 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.1s
[  FAILED  ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds
[ RUN      ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.630950 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.631818 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 2, 2, 1] 4 <function avg_pool at 0xffff84cee670> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'bfloat16'>
I0313 03:23:37.632433 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 2, 1] 4 <function avg_pool at 0xffff84cee670> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:37.644825 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.646213 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [2, 2, 2, 2] 16 <function avg_pool at 0xffff84cee670> [1, 2, 1, 1] [1, 1, 1, 1] <dtype: 'float16'>
I0313 03:23:37.646861 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [2, 2, 2, 2] 16 <function avg_pool at 0xffff84cee670> [1, 2, 1, 1] [1, 1, 1, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s
I0313 03:23:37.663434 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.02s
[       OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.664838 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.665569 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.666257 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 8, 8, 8] 512 <function avg_pool at 0xffff84cee670> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:37.666826 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 8, 8, 8] 512 <function avg_pool at 0xffff84cee670> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:37.680031 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.681288 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 <function avg_pool at 0xffff84cee670> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:37.681887 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 <function avg_pool at 0xffff84cee670> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:37.692322 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.693485 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.694201 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.694864 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 1, 1, 10] 10 <function max_pool at 0xffff84ceeee0> [1, 1, 1, 2] [1, 1, 1, 2] <dtype: 'float16'>
I0313 03:23:37.695412 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 1, 1, 10] 10 <function max_pool at 0xffff84ceeee0> [1, 1, 1, 2] [1, 1, 1, 2] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:37.708717 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [1, 2, 2, 6] 24 <function max_pool_v2 at 0xffff84e0c160> [1, 1, 1, 3] [1, 1, 1, 3] <dtype: 'bfloat16'>
I0313 03:23:37.709756 281473085043552 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 6] 24 <function max_pool_v2 at 0xffff84e0c160> [1, 1, 1, 3] [1, 1, 1, 3] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s
I0313 03:23:37.725538 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s
[       OK ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testDepthwiseMaxPoolingWithArgmax
INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s
I0313 03:23:37.743987 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s
[       OK ] PoolingTest.testDepthwiseMaxPoolingWithArgmax
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:37.745091 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:37.745814 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
I0313 03:23:37.746574 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function avg_pool at 0xffff84cee670> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:37.747115 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function avg_pool at 0xffff84cee670> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:37.760274 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.761436 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.762147 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.762794 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.763426 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 <function avg_pool at 0xffff84cee670> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:37.763956 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 <function avg_pool at 0xffff84cee670> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:37.774123 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff84cee670>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff84e0c160> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:37.775103 281473085043552 pooling_ops_test.py:247] Running NHWC test. True [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff84e0c160> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s
I0313 03:23:37.797191 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s
[       OK ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.798362 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.799083 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.799730 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [0, 8, 8, 8] 0 <function max_pool_v2 at 0xffff84e0c160> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:37.800271 281473085043552 pooling_ops_test.py:247] Running NHWC test. True [0, 8, 8, 8] 0 <function max_pool_v2 at 0xffff84e0c160> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s
I0313 03:23:37.817185 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s
[       OK ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.818362 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.819041 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff84ceed30> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:37.819600 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff84ceed30> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.05s
I0313 03:23:37.867586 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.05s
[       OK ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
I0313 03:23:37.868689 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:37.869373 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:37.870012 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
I0313 03:23:37.870645 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff84ceed30> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:37.871179 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff84ceed30> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:37.881265 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.882102 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.882754 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.883389 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s
I0313 03:23:37.883969 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.884593 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.885215 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.885835 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, 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
I0313 03:23:37.886428 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolFwd_maxpool4): 0.0s
[       OK ] PoolingTest.testMaxPoolFwd_maxpool4
[ RUN      ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.05s
I0313 03:23:37.943126 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.05s
[       OK ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.947889 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.951177 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.954396 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.02s
I0313 03:23:37.975406 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.02s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 7, 7, 1] 49 <function max_pool_v2 at 0xffff84e0c160> [1, 2, 2, 1] [1, 3, 3, 1] <dtype: 'float16'>
I0313 03:23:37.976320 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 7, 7, 1] 49 <function max_pool_v2 at 0xffff84e0c160> [1, 2, 2, 1] [1, 3, 3, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:37.990988 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.992116 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.992810 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.993461 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s
I0313 03:23:37.994047 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.994682 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.995321 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:37.995957 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 6, 6, 1] 36 <function max_pool at 0xffff84ceeee0> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:37.996614 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 6, 6, 1] 36 <function max_pool at 0xffff84ceeee0> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:38.007381 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:38.008509 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:38.009213 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
I0313 03:23:38.009863 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 2, 3, 3] 18 <function max_pool_v2 at 0xffff84e0c160> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:38.010396 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 3, 3] 18 <function max_pool_v2 at 0xffff84e0c160> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:38.023845 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.024964 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.025654 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.026348 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [1, 2, 2, 1] 4 <function max_pool_v2 at 0xffff84e0c160> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'float64'>
I0313 03:23:38.026904 281473085043552 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 1] 4 <function max_pool_v2 at 0xffff84e0c160> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s
I0313 03:23:38.040620 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s
[       OK ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.041824 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.042521 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.043161 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 4] 64 <function max_pool at 0xffff84ceeee0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:38.043698 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 4] 64 <function max_pool at 0xffff84ceeee0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:38.056811 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:38.057951 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:38.058648 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:38.059294 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 <function max_pool at 0xffff84ceeee0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float32'>
I0313 03:23:38.059832 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 <function max_pool at 0xffff84ceeee0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float32'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
I0313 03:23:38.078582 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
[       OK ] PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.079801 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.080479 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.081114 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff84e0c160> [1, 2, 2, 1] [1, 1, 2, 1] <dtype: 'float32'>
I0313 03:23:38.081657 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff84e0c160> [1, 2, 2, 1] [1, 1, 2, 1] <dtype: 'float32'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
I0313 03:23:38.098097 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
[       OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.099314 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.100018 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.100666 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.101305 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:38.101931 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool at 0xffff84ceeee0> [1, 2, 2, 1] [1, 2, 1, 1] <dtype: 'bfloat16'>
I0313 03:23:38.102467 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool at 0xffff84ceeee0> [1, 2, 2, 1] [1, 2, 1, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:38.112910 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff84ceeee0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:38.114041 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff84e0c160>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff84ceed30> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:38.114647 281473085043552 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff84ceed30> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:38.125184 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
I0313 03:23:38.126253 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:38.126973 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:38.127630 281473085043552 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff84ceed30>, 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
I0313 03:23:38.155926 281473085043552 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 2348, in testAvgPoolGradOutputMemoryOutOfBounds
    self.evaluate(
AssertionError: InvalidArgumentError not raised

----------------------------------------------------------------------
Ran 96 tests in 0.717s

FAILED (failures=1, skipped=65)
================================================================================
==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10):
2023-03-13 03:23:39.597332: 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 3.8.10: /usr/local/bin/python3
[ RUN      ] PoolingTest.testAvgPoolEmpty5 (pool_func=<function avg_pool at 0xffff6ed2b160>, 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.
W0313 03:23:41.630811 281473706455904 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=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s
I0313 03:23:41.637015 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.01s
[  SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [0, 8, 8, 8] 0 <function avg_pool at 0xffff6ed2b160> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:41.637858 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 <function avg_pool at 0xffff6ed2b160> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
2023-03-13 03:23:41.695362: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:353] MLIR V1 optimization pass is not enabled
2023-03-13 03:23:41.706204: 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=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.13s
I0313 03:23:41.768069 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.13s
[       OK ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.11s
I0313 03:23:41.877660 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.11s
[  FAILED  ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds
[ RUN      ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:41.879758 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:41.880533 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 2, 2, 1] 4 <function avg_pool at 0xffff6ed2b160> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'bfloat16'>
I0313 03:23:41.881094 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 2, 1] 4 <function avg_pool at 0xffff6ed2b160> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:41.891079 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:41.892076 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [2, 2, 2, 2] 16 <function avg_pool at 0xffff6ed2b160> [1, 2, 1, 1] [1, 1, 1, 1] <dtype: 'float16'>
I0313 03:23:41.892642 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [2, 2, 2, 2] 16 <function avg_pool at 0xffff6ed2b160> [1, 2, 1, 1] [1, 1, 1, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.05s
I0313 03:23:41.942032 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.05s
[       OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:41.943154 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:41.943863 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:41.944510 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 8, 8, 8] 512 <function avg_pool at 0xffff6ed2b160> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:41.945053 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 8, 8, 8] 512 <function avg_pool at 0xffff6ed2b160> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.04s
I0313 03:23:41.987595 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.04s
[       OK ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:41.988748 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 <function avg_pool at 0xffff6ed2b160> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:41.989367 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 <function avg_pool at 0xffff6ed2b160> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.000134 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.001191 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.001875 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.002518 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 1, 1, 10] 10 <function max_pool at 0xffff6ed2b9d0> [1, 1, 1, 2] [1, 1, 1, 2] <dtype: 'float16'>
I0313 03:23:42.003064 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 1, 1, 10] 10 <function max_pool at 0xffff6ed2b9d0> [1, 1, 1, 2] [1, 1, 1, 2] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.014986 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [1, 2, 2, 6] 24 <function max_pool_v2 at 0xffff6fa9be50> [1, 1, 1, 3] [1, 1, 1, 3] <dtype: 'bfloat16'>
I0313 03:23:42.015985 281473706455904 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 6] 24 <function max_pool_v2 at 0xffff6fa9be50> [1, 1, 1, 3] [1, 1, 1, 3] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s
I0313 03:23:42.031162 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s
[       OK ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testDepthwiseMaxPoolingWithArgmax
INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s
I0313 03:23:42.049104 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.02s
[       OK ] PoolingTest.testDepthwiseMaxPoolingWithArgmax
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.050211 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.050937 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.051595 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function avg_pool at 0xffff6ed2b160> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:42.052139 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function avg_pool at 0xffff6ed2b160> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.064960 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.066094 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.066821 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.067461 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.068102 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 <function avg_pool at 0xffff6ed2b160> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:42.068634 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 <function avg_pool at 0xffff6ed2b160> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.078701 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff6ed2b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff6fa9be50> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:42.079668 281473706455904 pooling_ops_test.py:247] Running NHWC test. True [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff6fa9be50> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s
I0313 03:23:42.094636 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s
[       OK ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.095772 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.096494 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.097198 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [0, 8, 8, 8] 0 <function max_pool_v2 at 0xffff6fa9be50> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:42.097801 281473706455904 pooling_ops_test.py:247] Running NHWC test. True [0, 8, 8, 8] 0 <function max_pool_v2 at 0xffff6fa9be50> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s
I0313 03:23:42.111425 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.01s
[       OK ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.112589 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.113322 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff6ed2b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:42.113895 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff6ed2b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.124251 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
I0313 03:23:42.125326 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.126042 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.126751 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.127390 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff6ed2b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:42.127944 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff6ed2b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.139929 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.141134 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.141877 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.142534 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s
I0313 03:23:42.143126 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.143753 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.144381 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.145006 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, 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
I0313 03:23:42.145577 281473706455904 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
I0313 03:23:42.169137 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s
[       OK ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.173256 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.176613 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.179897 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s
I0313 03:23:42.183118 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 7, 7, 1] 49 <function max_pool_v2 at 0xffff6fa9be50> [1, 2, 2, 1] [1, 3, 3, 1] <dtype: 'float16'>
I0313 03:23:42.183872 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 7, 7, 1] 49 <function max_pool_v2 at 0xffff6fa9be50> [1, 2, 2, 1] [1, 3, 3, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.198483 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.199632 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.200319 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.200980 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s
I0313 03:23:42.201560 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.202189 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.202821 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.203447 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 6, 6, 1] 36 <function max_pool at 0xffff6ed2b9d0> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:42.203978 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 6, 6, 1] 36 <function max_pool at 0xffff6ed2b9d0> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.214895 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.215973 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.216708 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.217375 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 2, 3, 3] 18 <function max_pool_v2 at 0xffff6fa9be50> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:42.217908 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 3, 3] 18 <function max_pool_v2 at 0xffff6fa9be50> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.232043 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.233184 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.233861 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.234504 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [1, 2, 2, 1] 4 <function max_pool_v2 at 0xffff6fa9be50> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'float64'>
I0313 03:23:42.235053 281473706455904 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 1] 4 <function max_pool_v2 at 0xffff6fa9be50> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s
I0313 03:23:42.248823 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s
[       OK ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.249921 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.250599 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.251241 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 4] 64 <function max_pool at 0xffff6ed2b9d0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:42.251778 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 4] 64 <function max_pool at 0xffff6ed2b9d0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.263807 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.264944 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.265648 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.266319 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 <function max_pool at 0xffff6ed2b9d0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float32'>
I0313 03:23:42.266876 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 <function max_pool at 0xffff6ed2b9d0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float32'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
I0313 03:23:42.285632 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
[       OK ] PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.286873 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.287582 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.288235 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff6fa9be50> [1, 2, 2, 1] [1, 1, 2, 1] <dtype: 'float32'>
I0313 03:23:42.288775 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff6fa9be50> [1, 2, 2, 1] [1, 1, 2, 1] <dtype: 'float32'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
I0313 03:23:42.305283 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
[       OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.306450 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.307193 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.307849 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.308488 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:42.309114 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool at 0xffff6ed2b9d0> [1, 2, 2, 1] [1, 2, 1, 1] <dtype: 'bfloat16'>
I0313 03:23:42.309644 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool at 0xffff6ed2b9d0> [1, 2, 2, 1] [1, 2, 1, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.320701 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff6ed2b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.321784 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff6fa9be50>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff6ed2b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:42.322358 281473706455904 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff6ed2b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:42.334047 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
I0313 03:23:42.335117 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.335850 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:42.336541 281473706455904 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff6ed2b820>, 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
I0313 03:23:42.364824 281473706455904 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 2348, in testAvgPoolGradOutputMemoryOutOfBounds
    self.evaluate(
AssertionError: InvalidArgumentError not raised

----------------------------------------------------------------------
Ran 96 tests in 0.736s

FAILED (failures=1, skipped=65)
================================================================================
==================== Test output for //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu (shard 8 of 10):
2023-03-13 03:23:43.961941: 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 3.8.10: /usr/local/bin/python3
[ RUN      ] PoolingTest.testAvgPoolEmpty5 (pool_func=<function avg_pool at 0xffff7793b160>, 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.
W0313 03:23:45.802699 281472930902880 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=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.12s
I0313 03:23:45.926530 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmpty5 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.12s
[  SKIPPED ] PoolingTest.testAvgPoolEmpty5 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [0, 8, 8, 8] 0 <function avg_pool at 0xffff7793b160> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:45.927376 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [0, 8, 8, 8] 0 <function avg_pool at 0xffff7793b160> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
2023-03-13 03:23:45.965158: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:353] MLIR V1 optimization pass is not enabled
2023-03-13 03:23:45.976682: 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=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.05s
I0313 03:23:45.981547 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolEmptyInput3 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.05s
[       OK ] PoolingTest.testAvgPoolEmptyInput3 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.05s
I0313 03:23:46.032633 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds): 0.05s
[  FAILED  ] PoolingTest.testAvgPoolGradOutputMemoryOutOfBounds
[ RUN      ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.034836 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolKernelSmallerThanStride7 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.035613 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePadding5 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 2, 2, 1] 4 <function avg_pool at 0xffff7793b160> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'bfloat16'>
I0313 03:23:46.036201 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 2, 1] 4 <function avg_pool at 0xffff7793b160> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.047456 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow3 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.048568 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch11 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [2, 2, 2, 2] 16 <function avg_pool at 0xffff7793b160> [1, 2, 1, 1] [1, 1, 1, 1] <dtype: 'float16'>
I0313 03:23:46.049147 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [2, 2, 2, 2] 16 <function avg_pool at 0xffff7793b160> [1, 2, 1, 1] [1, 1, 1, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.063413 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_21 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.064580 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindowMultiBatch_29 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.065270 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingNonSquareWindow_27 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.065911 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePaddingPacket_45 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 8, 8, 8] 512 <function avg_pool at 0xffff7793b160> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:46.066646 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 8, 8, 8] 512 <function avg_pool at 0xffff7793b160> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.078577 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testAvgPoolSamePaddingPacket_83 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.079705 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolSamePadding_211 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 <function avg_pool at 0xffff7793b160> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:46.080294 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 <function avg_pool at 0xffff7793b160> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.090782 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testAvgPoolValidPadding1 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.091933 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolValidPadding9 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.092661 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride7 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.093317 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testAvgPoolValidPaddingUnevenStride_25 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 1, 1, 10] 10 <function max_pool at 0xffff7793b9d0> [1, 1, 1, 2] [1, 1, 1, 2] <dtype: 'float16'>
I0313 03:23:46.093865 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 1, 1, 10] 10 <function max_pool at 0xffff7793b9d0> [1, 1, 1, 2] [1, 1, 1, 2] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.04s
I0313 03:23:46.137464 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.04s
[       OK ] PoolingTest.testDepthwiseMaxPool1x1DepthWindow3 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [1, 2, 2, 6] 24 <function max_pool_v2 at 0xffff7868ce50> [1, 1, 1, 3] [1, 1, 1, 3] <dtype: 'bfloat16'>
I0313 03:23:46.138487 281472930902880 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 6] 24 <function max_pool_v2 at 0xffff7868ce50> [1, 1, 1, 3] [1, 1, 1, 3] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s
I0313 03:23:46.153676 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)): 0.02s
[       OK ] PoolingTest.testDepthwiseMaxPool2x2DepthWindow11 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testDepthwiseMaxPoolingWithArgmax
INFO:tensorflow:time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.03s
I0313 03:23:46.186808 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testDepthwiseMaxPoolingWithArgmax): 0.03s
[       OK ] PoolingTest.testDepthwiseMaxPoolingWithArgmax
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.187910 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_14 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.188627 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_23 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.189275 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_32 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function avg_pool at 0xffff7793b160> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:46.189810 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function avg_pool at 0xffff7793b160> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.203152 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testKernelSmallerThanStrideSame1_41 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.204311 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame1_50 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.205003 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_13 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.205641 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_22 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.206300 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testKernelSmallerThanStrideSame2_31 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 <function avg_pool at 0xffff7793b160> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:46.206847 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 <function avg_pool at 0xffff7793b160> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.217803 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testKernelSmallerThanStrideSame2_40 (pool_func=<function avg_pool at 0xffff7793b160>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff7868ce50> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:46.218806 281472930902880 pooling_ops_test.py:247] Running NHWC test. True [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff7868ce50> [1, 1, 1, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s
I0313 03:23:46.234715 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.02s
[       OK ] PoolingTest.testKernelSmallerThanStrideSame2_5 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.235900 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolEmptyInput12 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.236630 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolEmptyInput21 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.237268 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolEmptyInput30 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [0, 8, 8, 8] 0 <function max_pool_v2 at 0xffff7868ce50> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float16'>
I0313 03:23:46.237802 281472930902880 pooling_ops_test.py:247] Running NHWC test. True [0, 8, 8, 8] 0 <function max_pool_v2 at 0xffff7868ce50> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.05s
I0313 03:23:46.292738 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.05s
[       OK ] PoolingTest.testMaxPoolEmptyInput5 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.293910 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding13 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.294619 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding22 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff7793b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:46.295177 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff7793b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.306983 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolExplicitPadding2_10 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
I0313 03:23:46.308026 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_2 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.308764 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_29 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.309416 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding2_38 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.310050 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding32 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff7793b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:46.310596 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff7793b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.322540 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolExplicitPadding7 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.323686 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced15 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.324394 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced24 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.325038 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced33 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s
I0313 03:23:46.325616 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPaddingAdvanced8 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.326276 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D16 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.326908 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D25 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.327530 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolExplicitPadding_1D34 (pool_func=<function max_pool_v2 at 0xffff7793b820>, 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
I0313 03:23:46.328094 281472930902880 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
I0313 03:23:46.351735 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors): 0.02s
[       OK ] PoolingTest.testMaxPoolGradWithArgmaxEagerShapeErrors
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.355996 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize13 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.365535 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize22 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.369193 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize31 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s
I0313 03:23:46.372781 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.0s
[       OK ] PoolingTest.testMaxPoolInvalidFilterSize6 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 7, 7, 1] 49 <function max_pool_v2 at 0xffff7868ce50> [1, 2, 2, 1] [1, 3, 3, 1] <dtype: 'float16'>
I0313 03:23:46.373590 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 7, 7, 1] 49 <function max_pool_v2 at 0xffff7868ce50> [1, 2, 2, 1] [1, 3, 3, 1] <dtype: 'float16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.04s
I0313 03:23:46.410471 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)): 0.04s
[       OK ] PoolingTest.testMaxPoolKernelSmallerThanStrideValid4 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.411628 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding12 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.412355 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding21 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.413004 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding30 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s
I0313 03:23:46.413604 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPadding5 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float16, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.414229 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv13 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.414857 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv22 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.415482 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv31 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 6, 6, 1] 36 <function max_pool at 0xffff7793b9d0> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:46.416007 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 6, 6, 1] 36 <function max_pool at 0xffff7793b9d0> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.427181 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolNegativeInputExpPaddingAdv6 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.428275 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePadding14 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.428954 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePadding23 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.429589 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePadding32 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float64, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 2, 3, 3] 18 <function max_pool_v2 at 0xffff7868ce50> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float64'>
I0313 03:23:46.430118 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 2, 3, 3] 18 <function max_pool_v2 at 0xffff7868ce50> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.444298 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolSamePadding7 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.445395 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow15 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.446089 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow24 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.446800 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow33 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
INFO:tensorflow:Running NHWC test. True [1, 2, 2, 1] 4 <function max_pool_v2 at 0xffff7868ce50> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'float64'>
I0313 03:23:46.447345 281472930902880 pooling_ops_test.py:247] Running NHWC test. True [1, 2, 2, 1] 4 <function max_pool_v2 at 0xffff7868ce50> [1, 1, 2, 1] [1, 1, 1, 1] <dtype: 'float64'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s
I0313 03:23:46.461312 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)): 0.01s
[       OK ] PoolingTest.testMaxPoolSamePaddingNonSquareWindow8 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.462424 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_16 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.463098 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_25 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.463725 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket4_34 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 4] 64 <function max_pool at 0xffff7793b9d0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:46.464253 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 4] 64 <function max_pool at 0xffff7793b9d0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.476650 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolSamePaddingPacket4_9 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.477809 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_17 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.478526 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_26 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.479178 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolSamePaddingPacket8_35 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 3] 27 <function max_pool at 0xffff7793b9d0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float32'>
I0313 03:23:46.479717 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 3] 27 <function max_pool at 0xffff7793b9d0> [1, 2, 2, 1] [1, 2, 2, 1] <dtype: 'float32'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
I0313 03:23:46.499263 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
[       OK ] PoolingTest.testMaxPoolValidPadding0 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.500443 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPadding18 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.501147 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPadding27 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.501785 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPadding36 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff7868ce50> [1, 2, 2, 1] [1, 1, 2, 1] <dtype: 'float32'>
I0313 03:23:46.502322 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool_v2 at 0xffff7868ce50> [1, 2, 2, 1] [1, 1, 2, 1] <dtype: 'float32'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
I0313 03:23:46.518799 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)): 0.02s
[       OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride1 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.519953 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride19 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float64, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.520653 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride28 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.521298 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_16 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NHWC', data_type=tf.float16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.521928 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_25 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.float32, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
I0313 03:23:46.522551 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_34 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW', data_type=tf.bfloat16, use_gpu=True, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool at 0xffff7793b9d0> [1, 2, 2, 1] [1, 2, 1, 1] <dtype: 'bfloat16'>
I0313 03:23:46.523081 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 4, 4, 1] 16 <function max_pool at 0xffff7793b9d0> [1, 2, 2, 1] [1, 2, 1, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.534419 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolValidPaddingUnevenStride2_9 (pool_func=<function max_pool at 0xffff7793b9d0>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.535621 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolValidPaddingUnevenStride38 (pool_func=<function max_pool_v2 at 0xffff7868ce50>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
INFO:tensorflow:Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff7793b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
I0313 03:23:46.536303 281472930902880 pooling_ops_test.py:247] Running NHWC test. False [1, 3, 3, 1] 9 <function max_pool_v2 at 0xffff7793b820> [1, 3, 3, 1] [1, 2, 2, 1] <dtype: 'bfloat16'>
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
I0313 03:23:46.548952 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)): 0.01s
[       OK ] PoolingTest.testMaxPoolZeroExplicitPadding10 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.bfloat16, use_gpu=False, v2=False)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
I0313 03:23:46.550035 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding2 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NHWC', data_type=tf.float32, use_gpu=False, v2=True)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.550771 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding29 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW', data_type=tf.float16, use_gpu=True, v2=True)
[ RUN      ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)
INFO:tensorflow:time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
I0313 03:23:46.551426 281472930902880 test_util.py:2467] time(__main__.PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff7793b820>, data_format='NCHW_VECT_C', data_type=tf.float32, use_gpu=True, v2=True)): 0.0s
[  SKIPPED ] PoolingTest.testMaxPoolZeroExplicitPadding38 (pool_func=<function max_pool_v2 at 0xffff7793b820>, 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
I0313 03:23:46.581442 281472930902880 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 2348, in testAvgPoolGradOutputMemoryOutOfBounds
    self.evaluate(
AssertionError: InvalidArgumentError not raised

----------------------------------------------------------------------
Ran 96 tests in 0.780s

FAILED (failures=1, skipped=65)
================================================================================
==================== Test output for //tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu (shard 9 of 16):
2023-03-13 03:24:05.750245: 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 3.8.10: /usr/local/bin/python3
[ RUN      ] CompositeTensorTest.test_vectorized_map_gathers_composite_tensors
INFO:tensorflow:time(__main__.CompositeTensorTest.test_vectorized_map_gathers_composite_tensors): 0.38s
I0313 03:24:13.228361 281473788703584 test_util.py:2467] time(__main__.CompositeTensorTest.test_vectorized_map_gathers_composite_tensors): 0.38s
[       OK ] CompositeTensorTest.test_vectorized_map_gathers_composite_tensors
[ RUN      ] NNTest.test_avg_pool3d
INFO:tensorflow:Running test_avg_pool3d in GRAPH mode.
I0313 03:24:13.229707 281473788703584 test_util.py:1497] Running test_avg_pool3d in GRAPH mode.
WARNING:tensorflow:From /usr/lib/python3.8/contextlib.py:83: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use `self.session()` or `self.cached_session()` instead.
W0313 03:24:13.230138 281473788703584 deprecation.py:364] From /usr/lib/python3.8/contextlib.py:83: TensorFlowTestCase.test_session (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use `self.session()` or `self.cached_session()` instead.
2023-03-13 03:24:13.831931: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:353] MLIR V1 optimization pass is not enabled
INFO:tensorflow:time(__main__.NNTest.test_avg_pool3d): 0.74s
I0313 03:24:13.969168 281473788703584 test_util.py:2467] time(__main__.NNTest.test_avg_pool3d): 0.74s
INFO:tensorflow:Running test_avg_pool3d in EAGER mode.
I0313 03:24:13.971864 281473788703584 test_util.py:1506] Running test_avg_pool3d in EAGER mode.
INFO:tensorflow:time(__main__.NNTest.test_avg_pool3d): 0.3s
I0313 03:24:14.275835 281473788703584 test_util.py:2467] time(__main__.NNTest.test_avg_pool3d): 0.3s
[       OK ] NNTest.test_avg_pool3d
[ RUN      ] NNTest.test_max_pool3d
INFO:tensorflow:Running test_max_pool3d in GRAPH mode.
I0313 03:24:14.277984 281473788703584 test_util.py:1497] Running test_max_pool3d in GRAPH mode.
WARNING:tensorflow:Calling GradientTape.gradient on a persistent tape inside its context is significantly less efficient than calling it outside the context (it causes the gradient ops to be recorded on the tape, leading to increased CPU and memory usage). Only call GradientTape.gradient inside the context if you actually want to trace the gradient in order to compute higher order derivatives.
W0313 03:24:14.420395 281473788703584 backprop.py:1009] Calling GradientTape.gradient on a persistent tape inside its context is significantly less efficient than calling it outside the context (it causes the gradient ops to be recorded on the tape, leading to increased CPU and memory usage). Only call GradientTape.gradient inside the context if you actually want to trace the gradient in order to compute higher order derivatives.
INFO:tensorflow:time(__main__.NNTest.test_max_pool3d): 0.67s
I0313 03:24:14.943189 281473788703584 test_util.py:2467] time(__main__.NNTest.test_max_pool3d): 0.67s
[  FAILED  ] NNTest.test_max_pool3d
[ RUN      ] PForTest.test_parallel_iterations
INFO:tensorflow:Running test_parallel_iterations in GRAPH mode.
I0313 03:24:14.949891 281473788703584 test_util.py:1497] Running test_parallel_iterations in GRAPH mode.
INFO:tensorflow:time(__main__.PForTest.test_parallel_iterations): 2.86s
I0313 03:24:17.808049 281473788703584 test_util.py:2467] time(__main__.PForTest.test_parallel_iterations): 2.86s
INFO:tensorflow:Running test_parallel_iterations in EAGER mode.
I0313 03:24:17.836991 281473788703584 test_util.py:1506] Running test_parallel_iterations in EAGER mode.
WARNING:tensorflow:5 out of the last 5 calls to <function pfor.<locals>.f at 0xfffd24589d30> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
W0313 03:24:18.645680 281473788703584 polymorphic_function.py:157] 5 out of the last 5 calls to <function pfor.<locals>.f at 0xfffd24589d30> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
WARNING:tensorflow:6 out of the last 6 calls to <function pfor.<locals>.f at 0xfffd24589d30> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
W0313 03:24:18.902939 281473788703584 polymorphic_function.py:157] 6 out of the last 6 calls to <function pfor.<locals>.f at 0xfffd24589d30> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
INFO:tensorflow:time(__main__.PForTest.test_parallel_iterations): 1.68s
I0313 03:24:19.516617 281473788703584 test_util.py:2467] time(__main__.PForTest.test_parallel_iterations): 1.68s
[       OK ] PForTest.test_parallel_iterations
[ RUN      ] PartitionedCallTest.test_gradients
INFO:tensorflow:time(__main__.PartitionedCallTest.test_gradients): 0.64s
I0313 03:24:20.162814 281473788703584 test_util.py:2467] time(__main__.PartitionedCallTest.test_gradients): 0.64s
[       OK ] PartitionedCallTest.test_gradients
[ RUN      ] RandomTest.test_random_standard_normal
INFO:tensorflow:time(__main__.RandomTest.test_random_standard_normal): 0.2s
I0313 03:24:20.369567 281473788703584 test_util.py:2467] time(__main__.RandomTest.test_random_standard_normal): 0.2s
[       OK ] RandomTest.test_random_standard_normal
[ RUN      ] SparseTest.test_sparse_result_indices_stacked
INFO:tensorflow:time(__main__.SparseTest.test_sparse_result_indices_stacked): 0.0s
I0313 03:24:20.371462 281473788703584 test_util.py:2467] time(__main__.SparseTest.test_sparse_result_indices_stacked): 0.0s
[  SKIPPED ] SparseTest.test_sparse_result_indices_stacked
[ RUN      ] SpectralTest.test_rfft1 (<function _rfft_wrapper.<locals>._rfft at 0xffff030ecb80>)
INFO:tensorflow:time(__main__.SpectralTest.test_rfft1 (<function _rfft_wrapper.<locals>._rfft at 0xffff030ecb80>)): 0.21s
I0313 03:24:20.586390 281473788703584 test_util.py:2467] time(__main__.SpectralTest.test_rfft1 (<function _rfft_wrapper.<locals>._rfft at 0xffff030ecb80>)): 0.21s
[       OK ] SpectralTest.test_rfft1 (<function _rfft_wrapper.<locals>._rfft at 0xffff030ecb80>)
[ RUN      ] TensorArrayTest.test_create_inside_and_scatter
INFO:tensorflow:time(__main__.TensorArrayTest.test_create_inside_and_scatter): 0.0s
I0313 03:24:20.588022 281473788703584 test_util.py:2467] time(__main__.TensorArrayTest.test_create_inside_and_scatter): 0.0s
[  SKIPPED ] TensorArrayTest.test_create_inside_and_scatter
[ RUN      ] TensorListTest.test_create_outside_and_read
INFO:tensorflow:Running test_create_outside_and_read in GRAPH mode.
I0313 03:24:20.588871 281473788703584 test_util.py:1497] Running test_create_outside_and_read in GRAPH mode.
INFO:tensorflow:time(__main__.TensorListTest.test_create_outside_and_read): 0.31s
I0313 03:24:20.897678 281473788703584 test_util.py:2467] time(__main__.TensorListTest.test_create_outside_and_read): 0.31s
INFO:tensorflow:Running test_create_outside_and_read in EAGER mode.
I0313 03:24:20.900348 281473788703584 test_util.py:1506] Running test_create_outside_and_read in EAGER mode.
INFO:tensorflow:time(__main__.TensorListTest.test_create_outside_and_read): 0.29s
I0313 03:24:21.192729 281473788703584 test_util.py:2467] time(__main__.TensorListTest.test_create_outside_and_read): 0.29s
[       OK ] TensorListTest.test_create_outside_and_read
[ RUN      ] TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape
INFO:tensorflow:Running wrapper in GRAPH mode.
I0313 03:24:21.194102 281473788703584 test_util.py:1497] Running wrapper in GRAPH mode.
INFO:tensorflow:time(__main__.TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape): 2.38s
I0313 03:24:23.574317 281473788703584 test_util.py:2467] time(__main__.TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape): 2.38s
INFO:tensorflow:Running wrapper in EAGER mode.
I0313 03:24:23.581987 281473788703584 test_util.py:1506] Running wrapper in EAGER mode.
INFO:tensorflow:time(__main__.TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape): 1.25s
I0313 03:24:24.833877 281473788703584 test_util.py:2467] time(__main__.TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape): 1.25s
[       OK ] TensorListTest.test_tensor_list_while_loop_stacked_cond_stacked_list_unknown_shape
[ RUN      ] WhileV1Test.test_invariant_while
INFO:tensorflow:time(__main__.WhileV1Test.test_invariant_while): 0.0s
I0313 03:24:24.835503 281473788703584 test_util.py:2467] time(__main__.WhileV1Test.test_invariant_while): 0.0s
[  SKIPPED ] WhileV1Test.test_invariant_while
[ RUN      ] WhileV2Test.test_while
INFO:tensorflow:Running test_while in GRAPH mode.
I0313 03:24:24.836547 281473788703584 test_util.py:1497] Running test_while in GRAPH mode.
INFO:tensorflow:time(__main__.WhileV2Test.test_while): 1.35s
I0313 03:24:26.181712 281473788703584 test_util.py:2467] time(__main__.WhileV2Test.test_while): 1.35s
INFO:tensorflow:Running test_while in EAGER mode.
I0313 03:24:26.186302 281473788703584 test_util.py:1506] Running test_while in EAGER mode.
INFO:tensorflow:time(__main__.WhileV2Test.test_while): 1.14s
I0313 03:24:27.325351 281473788703584 test_util.py:2467] time(__main__.WhileV2Test.test_while): 1.14s
[       OK ] WhileV2Test.test_while
======================================================================
FAIL: test_max_pool3d (__main__.NNTest)
NNTest.test_max_pool3d
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1501, in decorated
    f(self, *args, **kwargs)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 2338, in decorated
    f(self, *args, **kwargs)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/parallel_for/control_flow_ops_test.py", line 720, in test_max_pool3d
    self._test_loop_fn(loop_fn, 3)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/parallel_for/test_util.py", line 76, in _test_loop_fn
    self.run_and_assert_equal(t1, t2, rtol=rtol, atol=atol)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/parallel_for/test_util.py", line 44, in run_and_assert_equal
    self.assertAllClose(outputs[i + n], outputs[i], rtol=rtol, atol=atol)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 1542, in decorated
    return f(*args, **kwds)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3173, in assertAllClose
    self._assertAllCloseRecursive(a, b, rtol=rtol, atol=atol, msg=msg)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3129, in _assertAllCloseRecursive
    self._assertArrayLikeAllClose(
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/test_util.py", line 3066, in _assertArrayLikeAllClose
    np.testing.assert_allclose(
  File "/usr/local/lib/python3.8/dist-packages/numpy/testing/_private/utils.py", line 1527, in assert_allclose
    assert_array_compare(compare, actual, desired, err_msg=str(err_msg),
  File "/usr/local/lib/python3.8/dist-packages/numpy/testing/_private/utils.py", line 844, in assert_array_compare
    raise AssertionError(msg)
AssertionError: 
Not equal to tolerance rtol=0.0001, atol=1e-05
Mismatched value: a is different from b. 
not close where = (array([0]), array([2]), array([1]), array([6]), array([1]), array([1]))
not close lhs = [0.80731833]
not close rhs = [1.6146421]
not close dif = [0.8073238]
not close tol = [0.00017146]
dtype = float32, shape = (3, 3, 2, 12, 12, 3)
Mismatched elements: 1 / 7776 (0.0129%)
Max absolute difference: 0.8073238
Max relative difference: 0.50000167
 x: array([[[[[[0.      , 0.      , 0.      ],
           [0.      , 0.      , 0.      ],
           [0.      , 0.      , 0.      ],...
 y: array([[[[[[0.      , 0.      , 0.      ],
           [0.      , 0.      , 0.      ],
           [0.      , 0.      , 0.      ],...

----------------------------------------------------------------------
Ran 13 tests in 14.480s

FAILED (failures=1, skipped=3)
================================================================================
//tensorflow/c:c_api_experimental_test                                   PASSED in 28.0s
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//tensorflow/python/util:decorator_utils_test                            PASSED in 5.9s
//tensorflow/python/util:deprecation_test                                PASSED in 6.4s
//tensorflow/python/util:dispatch_test                                   PASSED in 9.5s
//tensorflow/python/util:example_parser_configuration_test               PASSED in 6.4s
//tensorflow/python/util:fast_module_type_test                           PASSED in 6.5s
//tensorflow/python/util:function_parameter_canonicalizer_test           PASSED in 6.5s
//tensorflow/python/util:function_utils_test                             PASSED in 6.4s
//tensorflow/python/util:keyword_args_test                               PASSED in 6.5s
//tensorflow/python/util:lock_util_test                                  PASSED in 7.8s
//tensorflow/python/util:module_wrapper_test                             PASSED in 7.0s
//tensorflow/python/util:nest_test                                       PASSED in 11.2s
//tensorflow/python/util:object_identity_test                            PASSED in 7.0s
//tensorflow/python/util:serialization_test                              PASSED in 6.4s
//tensorflow/python/util:tf_contextlib_test                              PASSED in 6.5s
//tensorflow/python/util:tf_decorator_test                               PASSED in 6.8s
//tensorflow/python/util:tf_export_test                                  PASSED in 11.5s
//tensorflow/python/util:tf_inspect_test                                 PASSED in 9.9s
//tensorflow/python/util:tf_should_use_test                              PASSED in 7.8s
//tensorflow/python/util:tf_stack_test                                   PASSED in 9.3s
//tensorflow/python/util:traceback_utils_test                            PASSED in 7.0s
//tensorflow/python/util:type_annotations_test                           PASSED in 6.2s
//tensorflow/python/util:variable_utils_test                             PASSED in 7.6s
//tensorflow/python/util:vlog_test                                       PASSED in 22.6s
//tensorflow/tools/api/tests:module_test                                 PASSED in 15.2s
//tensorflow/tools/benchmark:benchmark_model_test                        PASSED in 2.9s
//tensorflow/tools/common:public_api_test                                PASSED in 2.0s
//tensorflow/tools/common:traverse_test                                  PASSED in 2.2s
//tensorflow/tools/compatibility:all_renames_v2_test                     PASSED in 6.0s
//tensorflow/tools/compatibility:ast_edits_test                          PASSED in 6.1s
//tensorflow/tools/compatibility:test_file_v1_0                          PASSED in 13.2s
//tensorflow/tools/compatibility:test_file_v2_0                          PASSED in 15.2s
//tensorflow/tools/compatibility:tf_upgrade_test                         PASSED in 6.2s
//tensorflow/tools/compatibility:tf_upgrade_v2_safety_test               PASSED in 5.3s
//tensorflow/tools/docs:tf_doctest_test                                  PASSED in 0.7s
//tensorflow/tools/graph_transforms:file_utils_test                      PASSED in 0.6s
//tensorflow/tools/graph_transforms:transform_graph_test                 PASSED in 2.1s
//tensorflow/tools/graph_transforms:transform_utils_test                 PASSED in 2.2s
//tensorflow/tools/graph_transforms:transforms_test                      PASSED in 3.9s
//tensorflow/tools/proto_text:gen_proto_text_functions_lib_test          PASSED in 0.1s
//tensorflow/tools/tensorflow_builder/compat_checker:compat_checker_test PASSED in 0.4s
//tensorflow/tsl/c:tsl_status_helper_test                                PASSED in 0.1s
//tensorflow/tsl/c:tsl_status_test                                       PASSED in 0.1s
//tensorflow/tsl/concurrency:async_value_ref_test                        PASSED in 0.1s
//tensorflow/tsl/concurrency:async_value_test                            PASSED in 0.1s
//tensorflow/tsl/concurrency:concurrent_vector_test                      PASSED in 0.1s
//tensorflow/tsl/cuda:cudnn_version_test                                 PASSED in 0.1s
//tensorflow/tsl/distributed_runtime/coordination:coordination_service_agent_test PASSED in 12.8s
//tensorflow/tsl/distributed_runtime/coordination:coordination_service_error_util_test PASSED in 0.1s
//tensorflow/tsl/distributed_runtime/coordination:coordination_service_recoverable_job_test PASSED in 0.5s
//tensorflow/tsl/distributed_runtime/preemption:preemption_notifier_test PASSED in 6.2s
//tensorflow/tsl/distributed_runtime/preemption:preemption_sync_manager_test PASSED in 5.5s
//tensorflow/tsl/distributed_runtime/rpc:grpc_channel_test               PASSED in 0.2s
//tensorflow/tsl/distributed_runtime/rpc:grpc_util_test                  PASSED in 0.2s
//tensorflow/tsl/framework:cancellation_test                             PASSED in 1.1s
//tensorflow/tsl/framework/convolution:spatial_convolutions_test         PASSED in 0.1s
//tensorflow/tsl/lib/gtl:tsl_lib_gtl_tests                               PASSED in 0.1s
//tensorflow/tsl/lib/hash:crc32c_test                                    PASSED in 0.1s
//tensorflow/tsl/lib/histogram:histogram_test                            PASSED in 0.1s
//tensorflow/tsl/lib/io:buffered_inputstream_test                        PASSED in 0.3s
//tensorflow/tsl/lib/io:cache_test                                       PASSED in 0.1s
//tensorflow/tsl/lib/io:inputbuffer_test                                 PASSED in 1.3s
//tensorflow/tsl/lib/io:inputstream_interface_test                       PASSED in 0.1s
//tensorflow/tsl/lib/io:random_inputstream_test                          PASSED in 0.2s
//tensorflow/tsl/lib/io:record_reader_writer_test                        PASSED in 0.2s
//tensorflow/tsl/lib/io:recordio_test                                    PASSED in 0.3s
//tensorflow/tsl/lib/io:table_test                                       PASSED in 3.8s
//tensorflow/tsl/lib/io:zlib_buffers_test                                PASSED in 1.8s
//tensorflow/tsl/lib/io/snappy:snappy_test                               PASSED in 1.0s
//tensorflow/tsl/lib/math:math_util_test                                 PASSED in 0.2s
//tensorflow/tsl/lib/random:distribution_sampler_test                    PASSED in 0.1s
//tensorflow/tsl/lib/random:philox_random_test                           PASSED in 0.1s
//tensorflow/tsl/lib/random:random_distributions_test                    PASSED in 18.0s
//tensorflow/tsl/lib/random:simple_philox_test                           PASSED in 0.2s
//tensorflow/tsl/lib/random:weighted_picker_test                         PASSED in 10.3s
//tensorflow/tsl/platform:ctstring_test                                  PASSED in 0.3s
//tensorflow/tsl/platform:denormal_test                                  PASSED in 0.3s
//tensorflow/tsl/platform:errors_test                                    PASSED in 0.1s
//tensorflow/tsl/platform:fingerprint_test                               PASSED in 0.1s
//tensorflow/tsl/platform:float8_test                                    PASSED in 0.6s
//tensorflow/tsl/platform:hash_test                                      PASSED in 0.1s
//tensorflow/tsl/platform:integral_types_test                            PASSED in 0.2s
//tensorflow/tsl/platform:intrusive_ptr_test                             PASSED in 0.1s
//tensorflow/tsl/platform:logging_test                                   PASSED in 26.6s
//tensorflow/tsl/platform:mutex_test                                     PASSED in 0.2s
//tensorflow/tsl/platform:net_test                                       PASSED in 0.1s
//tensorflow/tsl/platform:numbers_test                                   PASSED in 0.1s
//tensorflow/tsl/platform:path_test                                      PASSED in 0.1s
//tensorflow/tsl/platform:port_test                                      PASSED in 8.3s
//tensorflow/tsl/platform:random_test                                    PASSED in 1.7s
//tensorflow/tsl/platform:refcount_test                                  PASSED in 0.3s
//tensorflow/tsl/platform:retrying_file_system_test                      PASSED in 0.1s
//tensorflow/tsl/platform:retrying_utils_test                            PASSED in 0.2s
//tensorflow/tsl/platform:scanner_test                                   PASSED in 0.1s
//tensorflow/tsl/platform:setround_test                                  PASSED in 0.2s
//tensorflow/tsl/platform:stacktrace_handler_test                        PASSED in 2.5s
//tensorflow/tsl/platform:stacktrace_test                                PASSED in 0.1s
//tensorflow/tsl/platform:status_matchers_test                           PASSED in 0.3s
//tensorflow/tsl/platform:status_test                                    PASSED in 0.1s
//tensorflow/tsl/platform:statusor_test                                  PASSED in 20.6s
//tensorflow/tsl/platform:str_util_test                                  PASSED in 0.1s
//tensorflow/tsl/platform:strcat_test                                    PASSED in 0.2s
//tensorflow/tsl/platform:stringpiece_test                               PASSED in 0.2s
//tensorflow/tsl/platform:stringprintf_test                              PASSED in 0.1s
//tensorflow/tsl/platform:subprocess_test                                PASSED in 0.2s
//tensorflow/tsl/platform:tstring_test                                   PASSED in 0.1s
//tensorflow/tsl/platform:unbounded_work_queue_test                      PASSED in 2.4s
//tensorflow/tsl/platform/cloud:compute_engine_metadata_client_test      PASSED in 0.2s
//tensorflow/tsl/platform/cloud:compute_engine_zone_provider_test        PASSED in 0.2s
//tensorflow/tsl/platform/cloud:curl_http_request_test                   PASSED in 9.9s
//tensorflow/tsl/platform/cloud:expiring_lru_cache_test                  PASSED in 0.3s
//tensorflow/tsl/platform/cloud:gcs_dns_cache_test                       PASSED in 0.1s
//tensorflow/tsl/platform/cloud:gcs_file_system_test                     PASSED in 5.1s
//tensorflow/tsl/platform/cloud:gcs_throttle_test                        PASSED in 0.1s
//tensorflow/tsl/platform/cloud:google_auth_provider_test                PASSED in 0.2s
//tensorflow/tsl/platform/cloud:oauth_client_test                        PASSED in 0.3s
//tensorflow/tsl/platform/cloud:ram_file_block_cache_test                PASSED in 2.2s
//tensorflow/tsl/platform/cloud:time_util_test                           PASSED in 0.2s
//tensorflow/tsl/profiler/backends/cpu:traceme_recorder_test             PASSED in 0.2s
//tensorflow/tsl/profiler/convert:trace_container_test                   PASSED in 0.2s
//tensorflow/tsl/profiler/convert:trace_events_to_json_test              PASSED in 0.3s
//tensorflow/tsl/profiler/convert:xla_op_utils_test                      PASSED in 0.1s
//tensorflow/tsl/profiler/convert:xplane_to_trace_events_test            PASSED in 0.3s
//tensorflow/tsl/profiler/lib:profiler_factory_test                      PASSED in 0.1s
//tensorflow/tsl/profiler/lib:profiler_lock_test                         PASSED in 0.1s
//tensorflow/tsl/profiler/lib:scoped_annotation_test                     PASSED in 0.1s
//tensorflow/tsl/profiler/lib:traceme_encode_test                        PASSED in 0.1s
//tensorflow/tsl/profiler/rpc/client:profiler_client_test                PASSED in 3.5s
//tensorflow/tsl/profiler/rpc/client:remote_profiler_session_manager_test PASSED in 3.2s
//tensorflow/tsl/profiler/utils:buffer_pool_test                         PASSED in 0.2s
//tensorflow/tsl/profiler/utils:group_events_test                        PASSED in 0.2s
//tensorflow/tsl/profiler/utils:parse_annotation_test                    PASSED in 0.1s
//tensorflow/tsl/profiler/utils:tf_op_utils_test                         PASSED in 0.2s
//tensorflow/tsl/profiler/utils:timespan_test                            PASSED in 0.2s
//tensorflow/tsl/profiler/utils:tpu_xplane_utils_test                    PASSED in 0.1s
//tensorflow/tsl/profiler/utils:xplane_builder_test                      PASSED in 0.1s
//tensorflow/tsl/profiler/utils:xplane_utils_test                        PASSED in 0.3s
//tensorflow/tsl/util:device_name_utils_test                             PASSED in 0.5s
//tensorflow/tsl/util:stats_calculator_test                              PASSED in 0.1s
//tensorflow/compiler/tests:complex_div_test_cpu                         PASSED in 6.4s
  Stats over 2 runs: max = 6.4s, min = 6.0s, avg = 6.2s, dev = 0.2s
//tensorflow/compiler/tests:complex_div_test_cpu_mlir_bridge_test        PASSED in 7.0s
  Stats over 2 runs: max = 7.0s, min = 6.2s, avg = 6.6s, dev = 0.4s
//tensorflow/compiler/xla/tests:conditional_test_cpu                     PASSED in 8.7s
  Stats over 2 runs: max = 8.7s, min = 8.5s, avg = 8.6s, dev = 0.1s
//tensorflow/python:control_flow_ops_test_cpu                            PASSED in 24.4s
  Stats over 2 runs: max = 24.4s, min = 19.5s, avg = 22.0s, dev = 2.5s
//tensorflow/python/data/experimental/kernel_tests/optimization:optimization_test PASSED in 16.3s
  Stats over 2 runs: max = 16.3s, min = 10.8s, avg = 13.5s, dev = 2.7s
//tensorflow/python/data/experimental/kernel_tests/service:metadata_test PASSED in 19.4s
  Stats over 2 runs: max = 19.4s, min = 18.2s, avg = 18.8s, dev = 0.6s
//tensorflow/python/data/kernel_tests:padded_batch_test                  PASSED in 25.9s
  Stats over 2 runs: max = 25.9s, min = 25.0s, avg = 25.5s, dev = 0.4s
//tensorflow/python/data/kernel_tests:repeat_test                        PASSED in 34.9s
  Stats over 2 runs: max = 34.9s, min = 34.5s, avg = 34.7s, dev = 0.2s
//tensorflow/python/data/kernel_tests:window_test                        PASSED in 42.6s
  Stats over 2 runs: max = 42.6s, min = 29.2s, avg = 35.9s, dev = 6.7s
//tensorflow/python/distribute:strategy_common_test_2gpu                 PASSED in 24.3s
  Stats over 2 runs: max = 24.3s, min = 20.1s, avg = 22.2s, dev = 2.1s
//tensorflow/python/distribute:strategy_common_test_cpu                  PASSED in 29.5s
  Stats over 2 runs: max = 29.5s, min = 24.0s, avg = 26.7s, dev = 2.7s
//tensorflow/python/distribute:strategy_common_test_xla_2gpu             PASSED in 14.2s
  Stats over 2 runs: max = 14.2s, min = 13.0s, avg = 13.6s, dev = 0.6s
//tensorflow/python/kernel_tests/array_ops:scatter_nd_ops_test_cpu       PASSED in 12.7s
  Stats over 2 runs: max = 12.7s, min = 12.6s, avg = 12.6s, dev = 0.0s
//tensorflow/python/kernel_tests/array_ops:scatter_ops_test_cpu          PASSED in 18.0s
  Stats over 2 runs: max = 18.0s, min = 17.6s, avg = 17.8s, dev = 0.2s
//tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu    PASSED in 13.5s
  Stats over 2 runs: max = 13.5s, min = 12.5s, avg = 13.0s, dev = 0.5s
//tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu            PASSED in 13.3s
  Stats over 2 runs: max = 13.3s, min = 12.6s, avg = 13.0s, dev = 0.4s
//tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu             PASSED in 97.1s
  Stats over 2 runs: max = 97.1s, min = 39.2s, avg = 68.2s, dev = 28.9s
//tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 137.4s
  Stats over 2 runs: max = 137.4s, min = 6.8s, avg = 72.1s, dev = 65.3s
//tensorflow/compiler/tests:spacetobatch_op_test_cpu                     PASSED in 9.8s
  Stats over 3 runs: max = 9.8s, min = 9.4s, avg = 9.7s, dev = 0.2s
//tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test    PASSED in 9.2s
  Stats over 3 runs: max = 9.2s, min = 8.5s, avg = 9.0s, dev = 0.3s
//tensorflow/compiler/xla/tests:triangular_solve_test_cpu                PASSED in 57.8s
  Stats over 3 runs: max = 57.8s, min = 55.3s, avg = 56.7s, dev = 1.1s
//tensorflow/core/data/service:thread_safe_buffer_test                   PASSED in 0.3s
  Stats over 3 runs: max = 0.3s, min = 0.2s, avg = 0.2s, dev = 0.1s
//tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test PASSED in 15.3s
  Stats over 3 runs: max = 15.3s, min = 11.5s, avg = 13.9s, dev = 1.7s
//tensorflow/python/data/kernel_tests:unique_test                        PASSED in 14.7s
  Stats over 3 runs: max = 14.7s, min = 11.7s, avg = 12.7s, dev = 1.4s
//tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu            PASSED in 39.6s
  Stats over 3 runs: max = 39.6s, min = 22.9s, avg = 29.2s, dev = 7.4s
//tensorflow/python/kernel_tests/array_ops:weights_broadcast_test        PASSED in 10.9s
  Stats over 3 runs: max = 10.9s, min = 10.3s, avg = 10.6s, dev = 0.2s
//tensorflow/python/kernel_tests/distributions:util_test_cpu             PASSED in 20.7s
  Stats over 3 runs: max = 20.7s, min = 19.6s, avg = 20.1s, dev = 0.5s
//tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 100.8s
  Stats over 3 runs: max = 100.8s, min = 9.3s, avg = 39.9s, dev = 43.1s
//tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu      PASSED in 13.0s
  Stats over 3 runs: max = 13.0s, min = 10.3s, avg = 11.3s, dev = 1.2s
//tensorflow/compiler/tests:ternary_ops_test_cpu                         PASSED in 14.3s
  Stats over 4 runs: max = 14.3s, min = 11.0s, avg = 12.9s, dev = 1.3s
//tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test        PASSED in 15.9s
  Stats over 4 runs: max = 15.9s, min = 11.9s, avg = 13.3s, dev = 1.6s
//tensorflow/compiler/tests:unary_ops_test_cpu                           PASSED in 28.3s
  Stats over 4 runs: max = 28.3s, min = 6.9s, avg = 19.0s, dev = 9.1s
//tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test          PASSED in 44.9s
  Stats over 4 runs: max = 44.9s, min = 6.9s, avg = 28.5s, dev = 16.8s
//tensorflow/compiler/xla/tests:dynamic_ops_test_cpu                     PASSED in 8.4s
  Stats over 4 runs: max = 8.4s, min = 7.7s, avg = 8.0s, dev = 0.3s
//tensorflow/core/kernels:example_parsing_ops_test                       PASSED in 0.6s
  Stats over 4 runs: max = 0.6s, min = 0.5s, avg = 0.5s, dev = 0.0s
//tensorflow/python:nn_batchnorm_test_cpu                                PASSED in 25.0s
  Stats over 4 runs: max = 25.0s, min = 10.1s, avg = 18.5s, dev = 5.8s
//tensorflow/python:nn_fused_batchnorm_d9m_test_cpu                      PASSED in 18.8s
  Stats over 4 runs: max = 18.8s, min = 17.1s, avg = 18.2s, dev = 0.7s
//tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 33.6s
  Stats over 4 runs: max = 33.6s, min = 16.1s, avg = 25.3s, dev = 6.9s
//tensorflow/python/data/experimental/kernel_tests:map_and_batch_test    PASSED in 37.0s
  Stats over 4 runs: max = 37.0s, min = 24.2s, avg = 28.1s, dev = 5.2s
//tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 26.8s
  Stats over 4 runs: max = 26.8s, min = 12.8s, avg = 19.9s, dev = 6.5s
//tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test  PASSED in 32.4s
  Stats over 4 runs: max = 32.4s, min = 8.4s, avg = 18.2s, dev = 9.1s
//tensorflow/python/data/experimental/kernel_tests:sql_dataset_test      PASSED in 27.9s
  Stats over 4 runs: max = 27.9s, min = 14.6s, avg = 21.0s, dev = 5.8s
//tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 7.7s
  Stats over 4 runs: max = 7.7s, min = 6.6s, avg = 7.1s, dev = 0.4s
//tensorflow/python/data/kernel_tests:batch_test                         PASSED in 54.0s
  Stats over 4 runs: max = 54.0s, min = 41.4s, avg = 46.8s, dev = 4.6s
//tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test   PASSED in 13.7s
  Stats over 4 runs: max = 13.7s, min = 8.3s, avg = 11.0s, dev = 2.6s
//tensorflow/python/data/kernel_tests:from_generator_test                PASSED in 30.1s
  Stats over 4 runs: max = 30.1s, min = 20.5s, avg = 24.8s, dev = 3.6s
//tensorflow/python/data/kernel_tests:group_by_window_test               PASSED in 19.0s
  Stats over 4 runs: max = 19.0s, min = 5.7s, avg = 11.2s, dev = 5.5s
//tensorflow/python/data/kernel_tests:ragged_batch_test                  PASSED in 21.7s
  Stats over 4 runs: max = 21.7s, min = 18.3s, avg = 19.9s, dev = 1.4s
//tensorflow/python/data/kernel_tests:shuffle_test                       PASSED in 123.0s
  Stats over 4 runs: max = 123.0s, min = 109.3s, avg = 113.7s, dev = 5.6s
//tensorflow/python/data/kernel_tests:skip_test                          PASSED in 24.8s
  Stats over 4 runs: max = 24.8s, min = 17.3s, avg = 20.7s, dev = 3.3s
//tensorflow/python/data/kernel_tests:take_test                          PASSED in 23.4s
  Stats over 4 runs: max = 23.4s, min = 19.7s, avg = 21.8s, dev = 1.3s
//tensorflow/python/data/kernel_tests:take_while_test                    PASSED in 31.1s
  Stats over 4 runs: max = 31.1s, min = 28.8s, avg = 30.1s, dev = 0.9s
//tensorflow/python/data/kernel_tests:text_line_dataset_test             PASSED in 20.9s
  Stats over 4 runs: max = 20.9s, min = 14.7s, avg = 18.0s, dev = 2.8s
//tensorflow/python/data/kernel_tests:zip_test                           PASSED in 15.7s
  Stats over 4 runs: max = 15.7s, min = 14.4s, avg = 14.8s, dev = 0.5s
//tensorflow/python/debug/lib:dumping_callback_test_cpu                  PASSED in 14.6s
  Stats over 4 runs: max = 14.6s, min = 13.9s, avg = 14.2s, dev = 0.3s
//tensorflow/python/distribute:cross_device_ops_test_2gpu                PASSED in 29.3s
  Stats over 4 runs: max = 29.3s, min = 20.5s, avg = 24.6s, dev = 3.5s
//tensorflow/python/distribute:cross_device_ops_test_cpu                 PASSED in 28.8s
  Stats over 4 runs: max = 28.8s, min = 19.6s, avg = 23.8s, dev = 3.5s
//tensorflow/python/distribute:strategy_gather_test_2gpu                 PASSED in 25.1s
  Stats over 4 runs: max = 25.1s, min = 14.6s, avg = 19.7s, dev = 5.1s
//tensorflow/python/distribute:strategy_gather_test_cpu                  PASSED in 24.3s
  Stats over 4 runs: max = 24.3s, min = 13.4s, avg = 18.4s, dev = 4.9s
//tensorflow/python/distribute:strategy_gather_test_xla_2gpu             PASSED in 18.1s
  Stats over 4 runs: max = 18.1s, min = 10.7s, avg = 14.4s, dev = 3.6s
//tensorflow/python/framework:convert_to_constants_test                  PASSED in 21.5s
  Stats over 4 runs: max = 21.5s, min = 15.4s, avg = 17.8s, dev = 2.4s
//tensorflow/python/kernel_tests:collective_ops_test_2gpu                PASSED in 34.3s
  Stats over 4 runs: max = 34.3s, min = 31.6s, avg = 32.8s, dev = 1.1s
//tensorflow/python/kernel_tests:collective_ops_test_cpu                 PASSED in 32.7s
  Stats over 4 runs: max = 32.7s, min = 31.1s, avg = 31.8s, dev = 0.6s
//tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu            PASSED in 13.6s
  Stats over 4 runs: max = 13.6s, min = 11.5s, avg = 12.6s, dev = 0.8s
//tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu             PASSED in 60.3s
  Stats over 4 runs: max = 60.3s, min = 21.3s, avg = 39.8s, dev = 16.8s
//tensorflow/python/kernel_tests/array_ops:split_op_test_cpu             PASSED in 28.4s
  Stats over 4 runs: max = 28.4s, min = 10.6s, avg = 17.2s, dev = 7.3s
//tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu               PASSED in 91.5s
  Stats over 4 runs: max = 91.5s, min = 13.9s, avg = 44.1s, dev = 31.5s
//tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 24.1s
  Stats over 4 runs: max = 24.1s, min = 23.3s, avg = 23.7s, dev = 0.3s
//tensorflow/python/kernel_tests/random:random_gamma_test_cpu            PASSED in 78.2s
  Stats over 4 runs: max = 78.2s, min = 8.2s, avg = 38.4s, dev = 30.8s
//tensorflow/python/kernel_tests/signal:window_ops_test_cpu              PASSED in 15.5s
  Stats over 4 runs: max = 15.5s, min = 14.0s, avg = 14.8s, dev = 0.6s
//tensorflow/python/ops/ragged:ragged_gather_op_test                     PASSED in 63.7s
  Stats over 4 runs: max = 63.7s, min = 16.6s, avg = 37.5s, dev = 17.0s
//tensorflow/python/ops/ragged:ragged_getitem_test                       PASSED in 42.0s
  Stats over 4 runs: max = 42.0s, min = 36.4s, avg = 40.0s, dev = 2.2s
//tensorflow/tools/docs:tf_doctest                                       PASSED in 54.8s
  Stats over 4 runs: max = 54.8s, min = 35.5s, avg = 41.6s, dev = 7.8s
//tensorflow/compiler/tests:async_comp_test_cpu                          PASSED in 6.2s
  Stats over 5 runs: max = 6.2s, min = 5.5s, avg = 5.9s, dev = 0.2s
//tensorflow/compiler/tests:conv3d_test_cpu                              PASSED in 14.7s
  Stats over 5 runs: max = 14.7s, min = 6.8s, avg = 10.1s, dev = 3.4s
//tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test             PASSED in 15.4s
  Stats over 5 runs: max = 15.4s, min = 7.4s, avg = 10.6s, dev = 3.4s
//tensorflow/compiler/tests:depthwise_conv_op_test_cpu                   PASSED in 13.6s
  Stats over 5 runs: max = 13.6s, min = 8.0s, avg = 10.4s, dev = 2.3s
//tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test  PASSED in 13.3s
  Stats over 5 runs: max = 13.3s, min = 7.3s, avg = 10.1s, dev = 2.3s
//tensorflow/compiler/tests:fused_batchnorm_test_cpu                     PASSED in 7.0s
  Stats over 5 runs: max = 7.0s, min = 5.0s, avg = 6.3s, dev = 0.7s
//tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test    PASSED in 6.5s
  Stats over 5 runs: max = 6.5s, min = 3.8s, avg = 5.0s, dev = 1.0s
//tensorflow/compiler/tests:image_ops_jit_compile_test_cpu               PASSED in 7.1s
  Stats over 5 runs: max = 7.1s, min = 6.4s, avg = 6.6s, dev = 0.3s
//tensorflow/compiler/tests:reduce_ops_test_cpu                          PASSED in 9.3s
  Stats over 5 runs: max = 9.3s, min = 7.5s, avg = 8.1s, dev = 0.7s
//tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test         PASSED in 11.0s
  Stats over 5 runs: max = 11.0s, min = 9.5s, avg = 10.1s, dev = 0.6s
//tensorflow/compiler/tests:repeat_op_test_cpu                           PASSED in 8.3s
  Stats over 5 runs: max = 8.3s, min = 4.8s, avg = 6.6s, dev = 1.2s
//tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test          PASSED in 8.2s
  Stats over 5 runs: max = 8.2s, min = 6.8s, avg = 7.3s, dev = 0.5s
//tensorflow/compiler/tests:special_math_test_cpu                        PASSED in 97.4s
  Stats over 5 runs: max = 97.4s, min = 13.5s, avg = 44.8s, dev = 28.8s
//tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test       PASSED in 99.9s
  Stats over 5 runs: max = 99.9s, min = 13.7s, avg = 45.8s, dev = 29.5s
//tensorflow/compiler/xla/client/lib:self_adjoint_eig_test_cpu           PASSED in 25.0s
  Stats over 5 runs: max = 25.0s, min = 10.8s, avg = 18.7s, dev = 5.8s
//tensorflow/core/grappler/optimizers:constant_folding_test              PASSED in 3.3s
  Stats over 5 runs: max = 3.3s, min = 2.2s, avg = 2.6s, dev = 0.4s
//tensorflow/python/distribute:mirrored_strategy_test_2gpu               PASSED in 12.5s
  Stats over 5 runs: max = 12.5s, min = 10.8s, avg = 11.6s, dev = 0.6s
//tensorflow/python/distribute:mirrored_strategy_test_cpu                PASSED in 12.3s
  Stats over 5 runs: max = 12.3s, min = 11.5s, avg = 12.0s, dev = 0.3s
//tensorflow/python/distribute:moving_averages_test_2gpu                 PASSED in 16.2s
  Stats over 5 runs: max = 16.2s, min = 13.2s, avg = 14.8s, dev = 1.1s
//tensorflow/python/distribute:moving_averages_test_cpu                  PASSED in 17.7s
  Stats over 5 runs: max = 17.7s, min = 13.4s, avg = 15.6s, dev = 1.5s
//tensorflow/python/distribute:vars_test_2gpu                            PASSED in 17.0s
  Stats over 5 runs: max = 17.0s, min = 12.9s, avg = 14.8s, dev = 1.3s
//tensorflow/python/distribute:vars_test_cpu                             PASSED in 13.6s
  Stats over 5 runs: max = 13.6s, min = 12.8s, avg = 13.2s, dev = 0.3s
//tensorflow/python/eager:device_placement_test_cpu                      PASSED in 9.1s
  Stats over 5 runs: max = 9.1s, min = 7.8s, avg = 8.5s, dev = 0.4s
//tensorflow/python/eager:forwardprop_test_cpu                           PASSED in 105.4s
  Stats over 5 runs: max = 105.4s, min = 14.9s, avg = 46.1s, dev = 31.0s
//tensorflow/python/eager/polymorphic_function:gradients_test_cpu        PASSED in 16.1s
  Stats over 5 runs: max = 16.1s, min = 10.2s, avg = 12.9s, dev = 2.3s
//tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu             PASSED in 73.3s
  Stats over 5 runs: max = 73.3s, min = 32.8s, avg = 44.7s, dev = 14.8s
//tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 47.8s
  Stats over 5 runs: max = 47.8s, min = 44.9s, avg = 46.0s, dev = 1.0s
//tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 34.0s
  Stats over 5 runs: max = 34.0s, min = 32.7s, avg = 33.4s, dev = 0.5s
//tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu    PASSED in 22.7s
  Stats over 5 runs: max = 22.7s, min = 18.1s, avg = 20.7s, dev = 1.7s
//tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 23.0s
  Stats over 5 runs: max = 23.0s, min = 20.9s, avg = 22.0s, dev = 0.8s
//tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 22.8s
  Stats over 5 runs: max = 22.8s, min = 21.9s, avg = 22.3s, dev = 0.3s
//tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 33.8s
  Stats over 5 runs: max = 33.8s, min = 30.7s, avg = 32.6s, dev = 1.1s
//tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 23.2s
  Stats over 5 runs: max = 23.2s, min = 22.0s, avg = 22.7s, dev = 0.4s
//tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 17.7s
  Stats over 5 runs: max = 17.7s, min = 15.7s, avg = 16.6s, dev = 0.7s
//tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 16.5s
  Stats over 5 runs: max = 16.5s, min = 13.6s, avg = 15.2s, dev = 0.9s
//tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 66.9s
  Stats over 5 runs: max = 66.9s, min = 63.3s, avg = 65.8s, dev = 1.3s
//tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu    PASSED in 6.8s
  Stats over 5 runs: max = 6.8s, min = 3.9s, avg = 5.8s, dev = 1.1s
//tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu   PASSED in 12.8s
  Stats over 5 runs: max = 12.8s, min = 12.1s, avg = 12.4s, dev = 0.3s
//tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test      PASSED in 14.7s
  Stats over 5 runs: max = 14.7s, min = 4.6s, avg = 8.2s, dev = 3.5s
//tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test      PASSED in 15.8s
  Stats over 5 runs: max = 15.8s, min = 7.5s, avg = 9.7s, dev = 3.1s
//tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu          PASSED in 27.4s
  Stats over 5 runs: max = 27.4s, min = 6.3s, avg = 11.1s, dev = 8.2s
//tensorflow/python/ops/parallel_for:math_test_cpu                       PASSED in 66.5s
  Stats over 5 runs: max = 66.5s, min = 20.8s, avg = 39.3s, dev = 16.2s
//tensorflow/compiler/tests:scan_ops_test_cpu                            PASSED in 14.0s
  Stats over 6 runs: max = 14.0s, min = 9.1s, avg = 11.4s, dev = 1.5s
//tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test           PASSED in 15.5s
  Stats over 6 runs: max = 15.5s, min = 10.0s, avg = 13.2s, dev = 1.6s
//tensorflow/compiler/xla/tests:prng_test_cpu                            PASSED in 8.5s
  Stats over 6 runs: max = 8.5s, min = 7.1s, avg = 7.7s, dev = 0.5s
//tensorflow/python:accumulate_n_benchmark_cpu                           PASSED in 6.8s
  Stats over 6 runs: max = 6.8s, min = 5.1s, avg = 5.7s, dev = 0.6s
//tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 22.6s
  Stats over 6 runs: max = 22.6s, min = 6.1s, avg = 13.3s, dev = 7.1s
//tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu              PASSED in 64.9s
  Stats over 6 runs: max = 64.9s, min = 6.1s, avg = 18.3s, dev = 20.9s
//tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu         PASSED in 38.2s
  Stats over 6 runs: max = 38.2s, min = 21.6s, avg = 31.7s, dev = 5.2s
//tensorflow/python/distribute/experimental/rpc:rpc_ops_test             PASSED in 10.9s
  Stats over 7 runs: max = 10.9s, min = 4.0s, avg = 7.0s, dev = 2.5s
//tensorflow/compiler/tests:matrix_diag_ops_test_cpu                     PASSED in 50.5s
  Stats over 8 runs: max = 50.5s, min = 4.8s, avg = 20.0s, dev = 15.5s
//tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test    PASSED in 70.6s
  Stats over 8 runs: max = 70.6s, min = 4.7s, avg = 26.9s, dev = 23.3s
//tensorflow/dtensor/python/tests:input_util_test                        PASSED in 22.7s
  Stats over 8 runs: max = 22.7s, min = 8.4s, avg = 16.3s, dev = 5.3s
//tensorflow/python/data/experimental/kernel_tests:csv_dataset_test      PASSED in 27.9s
  Stats over 8 runs: max = 27.9s, min = 7.9s, avg = 15.2s, dev = 7.5s
//tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 29.3s
  Stats over 8 runs: max = 29.3s, min = 14.1s, avg = 21.6s, dev = 5.4s
//tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 55.9s
  Stats over 8 runs: max = 55.9s, min = 13.3s, avg = 31.7s, dev = 15.6s
//tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 40.5s
  Stats over 8 runs: max = 40.5s, min = 10.0s, avg = 19.5s, dev = 10.1s
//tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 37.9s
  Stats over 8 runs: max = 37.9s, min = 4.8s, avg = 17.7s, dev = 12.2s
//tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 47.9s
  Stats over 8 runs: max = 47.9s, min = 5.0s, avg = 12.2s, dev = 13.9s
//tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 25.0s
  Stats over 8 runs: max = 25.0s, min = 12.0s, avg = 16.9s, dev = 4.5s
//tensorflow/python/data/kernel_tests:filter_test                        PASSED in 15.2s
  Stats over 8 runs: max = 15.2s, min = 11.6s, avg = 13.1s, dev = 1.2s
//tensorflow/python/data/kernel_tests:flat_map_test                      PASSED in 19.8s
  Stats over 8 runs: max = 19.8s, min = 11.6s, avg = 15.5s, dev = 2.9s
//tensorflow/python/data/kernel_tests:shard_test                         PASSED in 24.2s
  Stats over 8 runs: max = 24.2s, min = 18.4s, avg = 21.8s, dev = 2.2s
//tensorflow/python/data/kernel_tests:tf_record_dataset_test             PASSED in 20.3s
  Stats over 8 runs: max = 20.3s, min = 12.0s, avg = 16.2s, dev = 2.2s
//tensorflow/python/distribute/failure_handling:failure_handler_test     PASSED in 60.3s
  Stats over 8 runs: max = 60.3s, min = 23.7s, avg = 40.1s, dev = 11.5s
//tensorflow/python/distribute/failure_handling:gce_failure_handler_test PASSED in 76.0s
  Stats over 8 runs: max = 76.0s, min = 12.6s, avg = 31.8s, dev = 24.5s
//tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu              PASSED in 48.7s
  Stats over 8 runs: max = 48.7s, min = 30.8s, avg = 40.8s, dev = 6.5s
//tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 49.5s
  Stats over 8 runs: max = 49.5s, min = 37.2s, avg = 44.3s, dev = 4.4s
//tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 48.6s
  Stats over 8 runs: max = 48.6s, min = 33.8s, avg = 40.9s, dev = 5.5s
//tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu   PASSED in 53.5s
  Stats over 8 runs: max = 53.5s, min = 3.0s, avg = 11.8s, dev = 16.4s
//tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu       PASSED in 6.7s
  Stats over 8 runs: max = 6.7s, min = 4.7s, avg = 5.6s, dev = 0.7s
//tensorflow/python/kernel_tests/signal:fft_ops_test_cpu                 PASSED in 21.0s
  Stats over 8 runs: max = 21.0s, min = 5.7s, avg = 11.3s, dev = 4.9s
//tensorflow/python/ops/ragged:dynamic_ragged_shape_test                 PASSED in 37.5s
  Stats over 8 runs: max = 37.5s, min = 24.5s, avg = 30.2s, dev = 4.4s
//tensorflow/python/ops/ragged:ragged_tensor_test                        PASSED in 23.0s
  Stats over 8 runs: max = 23.0s, min = 11.7s, avg = 15.2s, dev = 3.2s
//tensorflow/compiler/tests:bincount_op_test_cpu                         PASSED in 9.1s
  Stats over 10 runs: max = 9.1s, min = 3.0s, avg = 5.5s, dev = 1.9s
//tensorflow/compiler/tests:conv2d_test_cpu                              PASSED in 6.5s
  Stats over 10 runs: max = 6.5s, min = 5.2s, avg = 5.8s, dev = 0.4s
//tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test             PASSED in 6.3s
  Stats over 10 runs: max = 6.3s, min = 3.7s, avg = 5.0s, dev = 0.8s
//tensorflow/compiler/tests:image_ops_test_cpu                           PASSED in 15.9s
  Stats over 10 runs: max = 15.9s, min = 11.4s, avg = 13.6s, dev = 1.6s
//tensorflow/compiler/tests:random_ops_test_cpu                          PASSED in 19.2s
  Stats over 10 runs: max = 19.2s, min = 14.5s, avg = 16.8s, dev = 1.6s
//tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test         PASSED in 20.8s
  Stats over 10 runs: max = 20.8s, min = 14.6s, avg = 17.7s, dev = 1.8s
//tensorflow/compiler/tests:stateless_random_ops_test_cpu                PASSED in 109.4s
  Stats over 10 runs: max = 109.4s, min = 45.3s, avg = 75.8s, dev = 20.1s
//tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 67.9s
  Stats over 10 runs: max = 67.9s, min = 33.0s, avg = 50.5s, dev = 11.8s
//tensorflow/compiler/xla/client/lib:svd_test_cpu                        PASSED in 71.6s
  Stats over 10 runs: max = 71.6s, min = 7.2s, avg = 25.1s, dev = 24.6s
//tensorflow/compiler/xla/client/lib:tridiagonal_test_cpu                PASSED in 6.8s
  Stats over 10 runs: max = 6.8s, min = 6.4s, avg = 6.7s, dev = 0.1s
//tensorflow/compiler/xla/service/cpu:cpu_runtime_test                   PASSED in 2.7s
  Stats over 10 runs: max = 2.7s, min = 0.8s, avg = 2.2s, dev = 0.7s
//tensorflow/python:special_math_ops_test_cpu                            PASSED in 44.1s
  Stats over 10 runs: max = 44.1s, min = 8.1s, avg = 14.2s, dev = 10.3s
//tensorflow/python/data/kernel_tests:rejection_resample_test            PASSED in 14.1s
  Stats over 10 runs: max = 14.1s, min = 4.2s, avg = 9.5s, dev = 3.3s
//tensorflow/python/distribute:input_lib_test_2gpu                       PASSED in 27.9s
  Stats over 10 runs: max = 27.9s, min = 19.1s, avg = 23.0s, dev = 2.8s
//tensorflow/python/distribute:input_lib_type_spec_test_2gpu             PASSED in 16.6s
  Stats over 10 runs: max = 16.6s, min = 6.7s, avg = 11.3s, dev = 3.4s
//tensorflow/python/distribute:input_lib_type_spec_test_cpu              PASSED in 17.9s
  Stats over 10 runs: max = 17.9s, min = 9.3s, avg = 13.0s, dev = 2.9s
//tensorflow/python/framework:config_vgpu_test_2gpu                      PASSED in 5.8s
  Stats over 10 runs: max = 5.8s, min = 2.8s, avg = 3.2s, dev = 0.9s
//tensorflow/python/framework:config_vgpu_test_cpu                       PASSED in 6.0s
  Stats over 10 runs: max = 6.0s, min = 4.2s, avg = 5.1s, dev = 0.7s
//tensorflow/python/framework:function_test_cpu                          PASSED in 52.0s
  Stats over 10 runs: max = 52.0s, min = 3.6s, avg = 11.1s, dev = 13.9s
//tensorflow/python/grappler:cluster_test_cpu                            PASSED in 7.6s
  Stats over 10 runs: max = 7.6s, min = 3.2s, avg = 5.7s, dev = 1.6s
//tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu            PASSED in 12.5s
  Stats over 10 runs: max = 12.5s, min = 8.4s, avg = 10.8s, dev = 1.1s
//tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu          PASSED in 61.7s
  Stats over 10 runs: max = 61.7s, min = 60.1s, avg = 61.0s, dev = 0.5s
//tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 11.2s
  Stats over 10 runs: max = 11.2s, min = 7.7s, avg = 9.1s, dev = 1.1s
//tensorflow/python/kernel_tests/linalg:linear_operator_kronecker_test_cpu PASSED in 28.2s
  Stats over 10 runs: max = 28.2s, min = 23.5s, avg = 25.3s, dev = 1.4s
//tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 64.6s
  Stats over 10 runs: max = 64.6s, min = 59.7s, avg = 61.8s, dev = 1.5s
//tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu   PASSED in 109.4s
  Stats over 10 runs: max = 109.4s, min = 3.4s, avg = 16.2s, dev = 31.1s
//tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 35.4s
  Stats over 10 runs: max = 35.4s, min = 8.1s, avg = 21.4s, dev = 9.0s
//tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 25.1s
  Stats over 10 runs: max = 25.1s, min = 4.5s, avg = 12.4s, dev = 7.6s
//tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu                     PASSED in 12.8s
  Stats over 10 runs: max = 12.8s, min = 11.2s, avg = 12.0s, dev = 0.5s
//tensorflow/python/kernel_tests/random:random_index_shuffle_test        PASSED in 8.1s
  Stats over 10 runs: max = 8.1s, min = 4.1s, avg = 5.8s, dev = 1.3s
//tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu    PASSED in 92.6s
  Stats over 10 runs: max = 92.6s, min = 16.1s, avg = 54.2s, dev = 36.0s
//tensorflow/python/ops/ragged:ragged_tensor_supported_values_test       PASSED in 16.0s
  Stats over 10 runs: max = 16.0s, min = 13.7s, avg = 14.5s, dev = 0.6s
//tensorflow/python/saved_model:load_test_cpu                            PASSED in 42.2s
  Stats over 10 runs: max = 42.2s, min = 22.3s, avg = 27.6s, dev = 5.2s
//tensorflow/python/distribute:input_lib_test_cpu                         FLAKY, failed in 1 out of 11 in 30.2s
  Stats over 11 runs: max = 30.2s, min = 20.5s, avg = 25.3s, dev = 3.2s
  /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/distribute/input_lib_test_cpu/shard_7_of_10/test_attempts/attempt_1.log
//tensorflow/compiler/tests:fft_test_cpu                                 PASSED in 20.7s
  Stats over 12 runs: max = 20.7s, min = 7.3s, avg = 13.0s, dev = 5.0s
//tensorflow/compiler/xla/service:triangular_solve_expander_test         PASSED in 6.2s
  Stats over 12 runs: max = 6.2s, min = 3.1s, avg = 4.4s, dev = 0.8s
//tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 17.7s
  Stats over 12 runs: max = 17.7s, min = 4.6s, avg = 9.6s, dev = 3.8s
//tensorflow/python/data/kernel_tests:choose_from_datasets_test          PASSED in 15.9s
  Stats over 12 runs: max = 15.9s, min = 4.8s, avg = 10.0s, dev = 3.4s
//tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu            PASSED in 9.4s
  Stats over 12 runs: max = 9.4s, min = 2.8s, avg = 5.7s, dev = 1.8s
//tensorflow/python/distribute:multi_process_runner_test_2gpu            PASSED in 220.3s
  Stats over 12 runs: max = 220.3s, min = 8.4s, avg = 47.4s, dev = 58.2s
//tensorflow/python/distribute:multi_process_runner_test_cpu             PASSED in 221.1s
  Stats over 12 runs: max = 221.1s, min = 11.3s, avg = 48.6s, dev = 57.9s
//tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu             FAILED in 3 out of 12 in 26.5s
  Stats over 12 runs: max = 26.5s, min = 4.1s, avg = 10.4s, dev = 6.9s
  /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 31.1s
  Stats over 15 runs: max = 31.1s, min = 23.9s, avg = 28.5s, dev = 1.7s
//tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 58.7s
  Stats over 15 runs: max = 58.7s, min = 49.4s, avg = 53.4s, dev = 3.0s
//tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu                PASSED in 52.1s
  Stats over 15 runs: max = 52.1s, min = 12.3s, avg = 20.2s, dev = 9.3s
//tensorflow/python:image_ops_test_cpu                                   PASSED in 15.9s
  Stats over 16 runs: max = 15.9s, min = 6.3s, avg = 10.9s, dev = 2.7s
//tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 22.5s
  Stats over 16 runs: max = 22.5s, min = 11.5s, avg = 16.6s, dev = 3.0s
//tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 19.0s
  Stats over 16 runs: max = 19.0s, min = 6.0s, avg = 11.8s, dev = 3.9s
//tensorflow/python/data/kernel_tests:snapshot_test                      PASSED in 23.0s
  Stats over 16 runs: max = 23.0s, min = 10.9s, avg = 16.7s, dev = 3.6s
//tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 24.7s
  Stats over 16 runs: max = 24.7s, min = 4.9s, avg = 9.5s, dev = 4.3s
//tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test       PASSED in 10.4s
  Stats over 16 runs: max = 10.4s, min = 4.6s, avg = 6.5s, dev = 1.6s
//tensorflow/python/kernel_tests/signal:dct_ops_test_cpu                 PASSED in 12.3s
  Stats over 16 runs: max = 12.3s, min = 6.5s, avg = 8.8s, dev = 1.9s
//tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu            FLAKY, failed in 1 out of 17 in 50.4s
  Stats over 17 runs: max = 50.4s, min = 11.5s, avg = 19.1s, dev = 8.6s
  /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/ops/parallel_for/control_flow_ops_test_cpu/shard_9_of_16/test_attempts/attempt_1.log
//tensorflow/python/data/kernel_tests:map_test                           PASSED in 37.9s
  Stats over 19 runs: max = 37.9s, min = 11.7s, avg = 19.2s, dev = 5.9s
//tensorflow/compiler/tests:pooling_ops_3d_test_cpu                      PASSED in 6.5s
  Stats over 20 runs: max = 6.5s, min = 3.3s, avg = 5.0s, dev = 1.0s
//tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test     PASSED in 6.1s
  Stats over 20 runs: max = 6.1s, min = 3.1s, avg = 4.2s, dev = 1.0s
//tensorflow/compiler/tests:pooling_ops_test_cpu                         PASSED in 10.1s
  Stats over 20 runs: max = 10.1s, min = 3.0s, avg = 4.2s, dev = 1.8s
//tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test        PASSED in 11.4s
  Stats over 20 runs: max = 11.4s, min = 3.1s, avg = 4.6s, dev = 2.0s
//tensorflow/compiler/xla/tests:convolution_dimension_numbers_test_cpu   PASSED in 8.2s
  Stats over 20 runs: max = 8.2s, min = 6.5s, avg = 7.0s, dev = 0.4s
//tensorflow/compiler/xla/tests:dot_operation_single_threaded_runtime_test_cpu PASSED in 11.7s
  Stats over 20 runs: max = 11.7s, min = 9.7s, avg = 10.7s, dev = 0.6s
//tensorflow/compiler/xla/tests:dot_operation_test_cpu                   PASSED in 11.3s
  Stats over 20 runs: max = 11.3s, min = 9.7s, avg = 10.3s, dev = 0.4s
//tensorflow/compiler/xla/tests:reduce_window_test_cpu                   PASSED in 40.2s
  Stats over 20 runs: max = 40.2s, min = 6.4s, avg = 14.7s, dev = 10.3s
//tensorflow/python/autograph/tests:loop_control_flow_test               PASSED in 20.1s
  Stats over 20 runs: max = 20.1s, min = 12.3s, avg = 17.3s, dev = 2.3s
//tensorflow/python/kernel_tests:metrics_test                            PASSED in 34.7s
  Stats over 20 runs: max = 34.7s, min = 6.3s, avg = 17.1s, dev = 8.4s
//tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu  PASSED in 57.5s
  Stats over 20 runs: max = 57.5s, min = 40.1s, avg = 51.4s, dev = 4.6s
//tensorflow/python/kernel_tests/data_structures:barrier_ops_test        PASSED in 10.9s
  Stats over 20 runs: max = 10.9s, min = 3.1s, avg = 5.3s, dev = 2.4s
//tensorflow/python/kernel_tests/linalg:eig_op_test                      PASSED in 37.2s
  Stats over 20 runs: max = 37.2s, min = 3.4s, avg = 12.4s, dev = 10.4s
//tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu             PASSED in 98.7s
  Stats over 20 runs: max = 98.7s, min = 27.9s, avg = 55.8s, dev = 21.4s
//tensorflow/python/kernel_tests/linalg:norm_op_test_cpu                 PASSED in 7.2s
  Stats over 20 runs: max = 7.2s, min = 3.5s, avg = 5.6s, dev = 1.1s
//tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu            PASSED in 12.5s
  Stats over 20 runs: max = 12.5s, min = 4.7s, avg = 8.0s, dev = 2.2s
//tensorflow/python/kernel_tests/linalg:qr_op_test_cpu                   PASSED in 228.8s
  Stats over 20 runs: max = 228.8s, min = 44.3s, avg = 116.6s, dev = 55.3s
//tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu     PASSED in 19.7s
  Stats over 20 runs: max = 19.7s, min = 4.5s, avg = 9.6s, dev = 5.1s
//tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu       PASSED in 18.0s
  Stats over 20 runs: max = 18.0s, min = 5.2s, avg = 11.1s, dev = 3.7s
//tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu             PASSED in 16.1s
  Stats over 20 runs: max = 16.1s, min = 11.8s, avg = 13.7s, dev = 1.2s
//tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu          PASSED in 68.7s
  Stats over 20 runs: max = 68.7s, min = 6.6s, avg = 29.1s, dev = 20.7s
//tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu           PASSED in 17.7s
  Stats over 20 runs: max = 17.7s, min = 9.2s, avg = 11.1s, dev = 1.9s
//tensorflow/python/data/experimental/kernel_tests/service:local_workers_test PASSED in 19.5s
  Stats over 24 runs: max = 19.5s, min = 5.3s, avg = 11.8s, dev = 3.3s
//tensorflow/python/data/kernel_tests:interleave_test                    PASSED in 19.4s
  Stats over 24 runs: max = 19.4s, min = 6.6s, avg = 11.6s, dev = 3.5s
//tensorflow/python/data/kernel_tests:sample_from_datasets_test          PASSED in 18.6s
  Stats over 24 runs: max = 18.6s, min = 3.6s, avg = 9.1s, dev = 4.0s
//tensorflow/compiler/xla/tests:array_elementwise_ops_test_cpu           PASSED in 8.3s
  Stats over 25 runs: max = 8.3s, min = 6.2s, avg = 7.2s, dev = 0.6s
//tensorflow/compiler/xla/tests:select_and_scatter_test_cpu              PASSED in 32.1s
  Stats over 25 runs: max = 32.1s, min = 6.4s, avg = 10.4s, dev = 6.6s
//tensorflow/compiler/xla/tests:convolution_variants_test_cpu            PASSED in 7.5s
  Stats over 30 runs: max = 7.5s, min = 6.3s, avg = 7.0s, dev = 0.3s
//tensorflow/compiler/xla/tests:iota_test_cpu                            PASSED in 12.0s
  Stats over 30 runs: max = 12.0s, min = 10.5s, avg = 11.0s, dev = 0.3s
//tensorflow/compiler/xla/tests:params_test_cpu                          PASSED in 9.9s
  Stats over 30 runs: max = 9.9s, min = 6.1s, avg = 7.7s, dev = 1.0s
//tensorflow/compiler/xla/tests:reshape_test_cpu                         PASSED in 8.1s
  Stats over 30 runs: max = 8.1s, min = 5.8s, avg = 6.4s, dev = 0.5s
//tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu             PASSED in 21.0s
  Stats over 30 runs: max = 21.0s, min = 3.0s, avg = 9.3s, dev = 5.2s
//tensorflow/compiler/xla/tests:reduce_test_cpu                          PASSED in 8.5s
  Stats over 31 runs: max = 8.5s, min = 6.7s, avg = 7.6s, dev = 0.5s
//tensorflow/compiler/xla/tests:scalar_computations_test_cpu             PASSED in 9.8s
  Stats over 32 runs: max = 9.8s, min = 6.8s, avg = 7.6s, dev = 0.6s
//tensorflow/python/data/experimental/kernel_tests/service:auto_shard_test PASSED in 18.2s
  Stats over 32 runs: max = 18.2s, min = 4.6s, avg = 11.5s, dev = 3.1s
//tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 26.1s
  Stats over 32 runs: max = 26.1s, min = 6.1s, avg = 13.8s, dev = 5.3s
//tensorflow/compiler/xla/tests:batch_normalization_test_cpu             PASSED in 8.1s
  Stats over 40 runs: max = 8.1s, min = 6.9s, avg = 7.4s, dev = 0.3s
//tensorflow/compiler/xla/tests:bfloat16_test_cpu                        PASSED in 8.6s
  Stats over 40 runs: max = 8.6s, min = 6.5s, avg = 7.7s, dev = 0.6s
//tensorflow/compiler/xla/tests:conv_depthwise_backprop_filter_test_cpu  PASSED in 8.5s
  Stats over 40 runs: max = 8.5s, min = 6.6s, avg = 7.5s, dev = 0.4s
//tensorflow/compiler/xla/tests:slice_test_cpu                           PASSED in 9.8s
  Stats over 40 runs: max = 9.8s, min = 6.6s, avg = 7.8s, dev = 0.7s
//tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 90.4s
  Stats over 50 runs: max = 90.4s, min = 17.2s, avg = 39.9s, dev = 25.7s
//tensorflow/compiler/tests:sort_ops_test_cpu                            PASSED in 36.2s
  Stats over 50 runs: max = 36.2s, min = 2.8s, avg = 9.8s, dev = 7.1s
//tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test           PASSED in 40.5s
  Stats over 50 runs: max = 40.5s, min = 2.6s, avg = 9.0s, dev = 7.6s
//tensorflow/compiler/xla/tests:conv_depthwise_test_cpu                  PASSED in 9.0s
  Stats over 50 runs: max = 9.0s, min = 6.8s, avg = 8.1s, dev = 0.6s
//tensorflow/compiler/xla/tests:convolution_test_1d_no_vmodule_cpu       PASSED in 10.2s
  Stats over 50 runs: max = 10.2s, min = 7.7s, avg = 9.2s, dev = 0.6s
//tensorflow/compiler/xla/tests:convolution_test_cpu                     PASSED in 11.9s
  Stats over 50 runs: max = 11.9s, min = 8.8s, avg = 9.9s, dev = 0.7s
//tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 13.2s
  Stats over 50 runs: max = 13.2s, min = 4.8s, avg = 7.5s, dev = 2.1s
//tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 7.2s
  Stats over 50 runs: max = 7.2s, min = 3.1s, avg = 3.7s, dev = 0.8s
//tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 6.7s
  Stats over 50 runs: max = 6.7s, min = 2.9s, avg = 4.3s, dev = 1.1s
//tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu      PASSED in 27.7s
  Stats over 50 runs: max = 27.7s, min = 6.8s, avg = 14.6s, dev = 5.1s
//tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu             PASSED in 9.2s
  Stats over 50 runs: max = 9.2s, min = 2.9s, avg = 4.0s, dev = 1.2s
//tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu       PASSED in 12.0s
  Stats over 50 runs: max = 12.0s, min = 3.0s, avg = 4.3s, dev = 1.8s

Executed 3634 out of 3634 tests: 3633 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.