==================== Test output for //tensorflow/python/distribute/failure_handling:gce_failure_handler_test (shard 3 of 8):
2023-06-03 06:27:39.498860: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Running tests under Python 3.10.11: /usr/local/bin/python3
[ RUN      ] GceFailureHandlingTest.test_basic_run_test_inputarg_checkpoint_strategyoption_MWMSmultiworker
INFO:tensorflow:Using local port 44335
I0603 06:27:45.828422 281473810723712 test_util.py:3796] Using local port 44335
INFO:tensorflow:Using local port 33331
I0603 06:27:45.829193 281473810723712 test_util.py:3796] Using local port 33331
INFO:tensorflow:Using local port 40495
I0603 06:27:45.829691 281473810723712 test_util.py:3796] Using local port 40495
INFO:tensorflow:Using local port 39071
I0603 06:27:45.830168 281473810723712 test_util.py:3796] Using local port 39071
2023-06-03 06:27:46.833670: 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`.
2023-06-03 06:27:47.143255: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
INFO:tensorflow:Cluster starting.
I0603 06:27:49.737583 281473810723712 gce_failure_handler_test.py:317] Cluster starting.
[worker-0]:    I0603 06:27:49.837769 281473589146496 multi_process_runner.py:840] Subprocess with PID 1300699 (worker, 0) is now being started.
[worker-0]:    I0603 06:27:49.838360 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44335", "localhost:33331", "localhost:40495", "localhost:39071"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}'
[worker-1]:    I0603 06:27:49.927403 281473589146496 multi_process_runner.py:840] Subprocess with PID 1300715 (worker, 1) is now being started.
[worker-1]:    I0603 06:27:49.927985 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44335", "localhost:33331", "localhost:40495", "localhost:39071"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}'
[worker-2]:    I0603 06:27:49.970327 281473589146496 multi_process_runner.py:840] Subprocess with PID 1300740 (worker, 2) is now being started.
[worker-2]:    I0603 06:27:49.970929 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44335", "localhost:33331", "localhost:40495", "localhost:39071"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}'
[worker-3]:    I0603 06:27:49.987985 281473589146496 multi_process_runner.py:840] Subprocess with PID 1300803 (worker, 3) is now being started.
[worker-3]:    I0603 06:27:49.988596 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44335", "localhost:33331", "localhost:40495", "localhost:39071"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}'
[worker-2]:    2023-06-03 06:27:50.067222: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:40495
[worker-0]:    2023-06-03 06:27:50.083413: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:44335
[worker-0]:    2023-06-03 06:27:50.118079: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 16915640134409842093
[worker-2]:    2023-06-03 06:27:50.118491: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:27:50.125009: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 7727396357482483859
[worker-0]:    2023-06-03 06:27:50.127884: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-3]:    2023-06-03 06:27:50.158153: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:39071
[worker-0]:    2023-06-03 06:27:50.166435: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 13564504376039781106
[worker-3]:    2023-06-03 06:27:50.166743: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-1]:    2023-06-03 06:27:50.169693: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:33331
[worker-0]:    2023-06-03 06:27:50.184927: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 2286946509866682239
[worker-1]:    2023-06-03 06:27:50.185395: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-1]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    I0603 06:27:50.188089 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-0]:    I0603 06:27:50.192076 281473589146496 collective_all_reduce_strategy.py:531] 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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-3]:    I0603 06:27:50.188110 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-2]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-2]:    I0603 06:27:50.197715 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    I0603 06:27:50.270373 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    INFO:tensorflow:Check health not enabled.
[worker-1]:    I0603 06:27:50.270990 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-1]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    I0603 06:27:50.271250 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    I0603 06:27:50.279712 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    INFO:tensorflow:Check health not enabled.
[worker-0]:    I0603 06:27:50.280369 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-0]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    I0603 06:27:50.280635 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-2]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-3]:    I0603 06:27:50.295434 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    INFO:tensorflow:Check health not enabled.
[worker-3]:    I0603 06:27:50.296322 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-2]:    I0603 06:27:50.296269 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-3]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    INFO:tensorflow:Check health not enabled.
[worker-3]:    I0603 06:27:50.296579 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    I0603 06:27:50.297100 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-2]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    I0603 06:27:50.297358 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-1]:    I0603 06:27:50.365455 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-1]:    INFO:tensorflow:Start polling for termination signal.
[worker-1]:    I0603 06:27:50.367627 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-1]:    I0603 06:27:50.368316 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-1]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-0]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-2]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    I0603 06:27:50.365501 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-2]:    I0603 06:27:50.375933 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-0]:    I0603 06:27:50.371026 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-0]:    INFO:tensorflow:Start polling for termination signal.
[worker-1]:    W0603 06:27:50.368679 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    INFO:tensorflow:Start polling for termination signal.
[worker-3]:    INFO:tensorflow:Start polling for termination signal.
[worker-2]:    I0603 06:27:50.386433 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:    I0603 06:27:50.372182 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-1]:    Instructions for updating:
[worker-3]:    I0603 06:27:50.366873 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-2]:    I0603 06:27:50.387171 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-3]:    I0603 06:27:50.367433 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    INFO:tensorflow:Start training at 0
[worker-1]:    I0603 06:27:50.368912 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-2]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-0]:    I0603 06:27:50.372708 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-0]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-0]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    W0603 06:27:50.367823 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-0]:    W0603 06:27:50.373068 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    Instructions for updating:
[worker-3]:    INFO:tensorflow:Start training at 0
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    I0603 06:27:50.368083 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-0]:    INFO:tensorflow:Start training at 0
[worker-0]:    I0603 06:27:50.373304 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    W0603 06:27:50.387603 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    INFO:tensorflow:Start training at 0
[worker-2]:    I0603 06:27:50.387836 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:50.491326 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:50.517146 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:50.521448 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:50.541361 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:50.634674 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:50.635700 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:50.639998 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:50.635019 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:50.726746 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:50.730771 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:50.730844 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:50.738942 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:50.810109 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:50.809542 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:50.832189 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:50.832126 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:50.950397 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:50.970771 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:50.971838 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:50.980472 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986b3910> 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.
[worker-3]:    W0603 06:27:51.159109 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986b3910> 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.
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:51.174800 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa06b3910> 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.
[worker-1]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-0]:    W0603 06:27:51.177095 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa06b3910> 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.
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    W0603 06:27:51.182604 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-0]:    I0603 06:27:51.187180 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:51.195311 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986b3910> 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.
[worker-2]:    W0603 06:27:51.198207 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986b3910> 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.
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:51.209630 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b8160> 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.
[worker-3]:    W0603 06:27:51.277393 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b8160> 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.
[worker-3]:    INFO:tensorflow:epoch 0 finished
[worker-3]:    I0603 06:27:51.278011 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:51.290562 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b4160> 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.
[worker-2]:    W0603 06:27:51.287813 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b4160> 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.
[worker-2]:    INFO:tensorflow:epoch 0 finished
[worker-2]:    I0603 06:27:51.288285 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-0]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa05b8160> 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.
[worker-0]:    W0603 06:27:51.287085 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa05b8160> 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.
[worker-0]:    INFO:tensorflow:epoch 0 finished
[worker-0]:    I0603 06:27:51.287573 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-1]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00304160> 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.
[worker-1]:    W0603 06:27:51.287512 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00304160> 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.
[worker-1]:    INFO:tensorflow:epoch 0 finished
[worker-1]:    I0603 06:27:51.287997 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:51.305508 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:51.303799 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:51.311522 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Termination notice available.
[worker-3]:    I0603 06:27:51.378633 281447428256224 gce_failure_handler_test.py:142] Termination notice available.
[worker-3]:    INFO:tensorflow:Member 3 has received termination notice.
[worker-3]:    I0603 06:27:51.386778 281447428256224 failure_handling.py:710] Member 3 has received termination notice.
[worker-3]:    INFO:tensorflow:Termination caught in main thread on preempted worker
[worker-3]:    I0603 06:27:51.388530 281473589146496 failure_handling.py:1159] Termination caught in main thread on preempted worker
[worker-3]:    INFO:tensorflow:RUN_TO_CHECKPOINT set to 8
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_2 set, preemption awareness acknowledged
[worker-2]:    I0603 06:27:51.416841 281447369601504 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_2 set, preemption awareness acknowledged
[worker-3]:    I0603 06:27:51.416193 281473589146496 failure_handling.py:1168] RUN_TO_CHECKPOINT set to 8
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 set, preemption awareness acknowledged
[worker-3]:    I0603 06:27:51.420051 281447436710368 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 set, preemption awareness acknowledged
[worker-3]:    INFO:tensorflow:Sigterm acknowledgement from replica 0 received
[worker-3]:    I0603 06:27:51.421787 281473589146496 failure_handling.py:1177] Sigterm acknowledgement from replica 0 received
[worker-3]:    INFO:tensorflow:Sigterm acknowledgement from replica 1 received
[worker-3]:    I0603 06:27:51.422739 281473589146496 failure_handling.py:1177] Sigterm acknowledgement from replica 1 received
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged
[worker-0]:    I0603 06:27:51.416140 281447084257760 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged
[worker-3]:    INFO:tensorflow:Sigterm acknowledgement from replica 2 received
[worker-3]:    I0603 06:27:51.426422 281473589146496 failure_handling.py:1177] Sigterm acknowledgement from replica 2 received
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Sigterm acknowledgement from replica 3 received
[worker-3]:    I0603 06:27:51.427844 281473589146496 failure_handling.py:1177] Sigterm acknowledgement from replica 3 received
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:51.432752 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:51.427191 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:51.438694 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:51.452584 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged
[worker-1]:    I0603 06:27:51.458892 281447722054112 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint.
[worker-0]:    I0603 06:27:51.532375 281473589146496 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint.
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint.
[worker-3]:    I0603 06:27:51.530756 281473589146496 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint.
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint.
[worker-2]:    I0603 06:27:51.536779 281473589146496 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint.
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint.
[worker-1]:    I0603 06:27:51.551114 281473589146496 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint.
[worker-3]:    INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/a13e83d3b218993e99a2d10fc69081b9s2i0ek1q/tmpa4r7u47i/fh_ckpt/workertemp_3/
[worker-3]:    I0603 06:27:51.629512 281473589146496 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/a13e83d3b218993e99a2d10fc69081b9s2i0ek1q/tmpa4r7u47i/fh_ckpt/workertemp_3/
[worker-3]:    INFO:tensorflow:Shut down watcher for one's own termination signal
[worker-3]:    I0603 06:27:51.629947 281473589146496 failure_handling.py:737] Shut down watcher for one's own termination signal
[worker-0]:    INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/a13e83d3b218993e99a2d10fc69081b9s2i0ek1q/tmpa4r7u47i/fh_ckpt/
[worker-0]:    I0603 06:27:51.635133 281473589146496 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/a13e83d3b218993e99a2d10fc69081b9s2i0ek1q/tmpa4r7u47i/fh_ckpt/
[worker-1]:    INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/a13e83d3b218993e99a2d10fc69081b9s2i0ek1q/tmpa4r7u47i/fh_ckpt/workertemp_1/
[worker-1]:    I0603 06:27:51.638922 281473589146496 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/a13e83d3b218993e99a2d10fc69081b9s2i0ek1q/tmpa4r7u47i/fh_ckpt/workertemp_1/
[worker-3]:    INFO:tensorflow:Shut down watcher for peer's termination signal.
[worker-3]:    I0603 06:27:51.637057 281473589146496 failure_handling.py:771] Shut down watcher for peer's termination signal.
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting.
[worker-3]:    I0603 06:27:51.638154 281473589146496 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting.
[worker-2]:    INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/a13e83d3b218993e99a2d10fc69081b9s2i0ek1q/tmpa4r7u47i/fh_ckpt/workertemp_2/
[worker-2]:    I0603 06:27:51.660150 281473589146496 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/a13e83d3b218993e99a2d10fc69081b9s2i0ek1q/tmpa4r7u47i/fh_ckpt/workertemp_2/
[worker-1]:    INFO:tensorflow:Shut down watcher for one's own termination signal
[worker-1]:    I0603 06:27:52.374812 281473589146496 failure_handling.py:737] Shut down watcher for one's own termination signal
[worker-1]:    INFO:tensorflow:Shut down watcher for peer's termination signal.
[worker-1]:    I0603 06:27:52.378182 281473589146496 failure_handling.py:771] Shut down watcher for peer's termination signal.
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting.
[worker-0]:    INFO:tensorflow:Shut down watcher for one's own termination signal
[worker-0]:    I0603 06:27:52.380177 281473589146496 failure_handling.py:737] Shut down watcher for one's own termination signal
[worker-1]:    I0603 06:27:52.379140 281473589146496 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting.
[worker-0]:    INFO:tensorflow:Shut down watcher for peer's termination signal.
[worker-0]:    I0603 06:27:52.386898 281473589146496 failure_handling.py:771] Shut down watcher for peer's termination signal.
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting.
[worker-0]:    I0603 06:27:52.387258 281473589146496 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting.
[worker-2]:    INFO:tensorflow:Shut down watcher for one's own termination signal
[worker-2]:    I0603 06:27:52.446562 281473589146496 failure_handling.py:737] Shut down watcher for one's own termination signal
[worker-2]:    INFO:tensorflow:Shut down watcher for peer's termination signal.
[worker-2]:    I0603 06:27:52.451830 281473589146496 failure_handling.py:771] Shut down watcher for peer's termination signal.
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting.
[worker-2]:    I0603 06:27:52.453069 281473589146496 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting.
INFO:tensorflow:restarting workers
I0603 06:27:53.928184 281473810723712 gce_failure_handler_test.py:323] restarting workers
INFO:tensorflow:workers restarted
I0603 06:27:54.026596 281473810723712 gce_failure_handler_test.py:327] workers restarted
[worker-0]:    I0603 06:27:54.078407 281473589146496 multi_process_runner.py:840] Subprocess with PID 1305684 (worker, 0) is now being started.
[worker-0]:    I0603 06:27:54.078953 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44335", "localhost:33331", "localhost:40495", "localhost:39071"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}'
[worker-1]:    I0603 06:27:54.130249 281473589146496 multi_process_runner.py:840] Subprocess with PID 1305688 (worker, 1) is now being started.
[worker-1]:    I0603 06:27:54.130750 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44335", "localhost:33331", "localhost:40495", "localhost:39071"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}'
[worker-3]:    I0603 06:27:54.156832 281473589146496 multi_process_runner.py:840] Subprocess with PID 1305698 (worker, 3) is now being started.
[worker-2]:    I0603 06:27:54.168457 281473589146496 multi_process_runner.py:840] Subprocess with PID 1305696 (worker, 2) is now being started.
[worker-3]:    I0603 06:27:54.157360 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44335", "localhost:33331", "localhost:40495", "localhost:39071"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}'
[worker-2]:    I0603 06:27:54.168930 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44335", "localhost:33331", "localhost:40495", "localhost:39071"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}'
[worker-0]:    2023-06-03 06:27:54.267493: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:44335
[worker-1]:    2023-06-03 06:27:54.285270: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:33331
[worker-2]:    2023-06-03 06:27:54.322064: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:40495
[worker-3]:    2023-06-03 06:27:54.329481: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:39071
[worker-0]:    2023-06-03 06:27:54.347600: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 11882441971101436438
[worker-1]:    2023-06-03 06:27:54.348110: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:27:54.348449: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 6687618042142978987
[worker-3]:    2023-06-03 06:27:54.349082: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:27:54.349683: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 8690336555263312335
[worker-0]:    2023-06-03 06:27:54.357887: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:27:54.360171: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 10931018358363977190
[worker-2]:    2023-06-03 06:27:54.360836: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-2]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-2]:    I0603 06:27:54.363546 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-0]:    I0603 06:27:54.364128 281473589146496 collective_all_reduce_strategy.py:531] 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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    I0603 06:27:54.377370 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-3]:    I0603 06:27:54.397140 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-2]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    I0603 06:27:54.445820 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    INFO:tensorflow:Check health not enabled.
[worker-2]:    I0603 06:27:54.446551 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-2]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    I0603 06:27:54.446782 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-1]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-0]:    I0603 06:27:54.439058 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-1]:    I0603 06:27:54.445911 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-0]:    INFO:tensorflow:Check health not enabled.
[worker-1]:    INFO:tensorflow:Check health not enabled.
[worker-0]:    I0603 06:27:54.439665 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-1]:    I0603 06:27:54.446813 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-0]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    I0603 06:27:54.447035 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    I0603 06:27:54.439913 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    I0603 06:27:54.471065 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    INFO:tensorflow:Check health not enabled.
[worker-3]:    I0603 06:27:54.471681 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-3]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    I0603 06:27:54.471919 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44335', 'localhost:33331', 'localhost:40495', 'localhost:39071']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-1]:    I0603 06:27:54.603567 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:    I0603 06:27:54.605362 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:    INFO:tensorflow:Start polling for termination signal.
[worker-3]:    I0603 06:27:54.606750 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-3]:    I0603 06:27:54.607764 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-3]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:    W0603 06:27:54.608196 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    I0603 06:27:54.608946 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:    Instructions for updating:
[worker-0]:    INFO:tensorflow:Start polling for termination signal.
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    I0603 06:27:54.610152 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-3]:    INFO:tensorflow:Start training at 8
[worker-3]:    I0603 06:27:54.608487 281473589146496 gce_failure_handler_test.py:194] Start training at 8
[worker-3]:    INFO:tensorflow:['ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint', 'workertemp_2', 'workertemp_1', 'workertemp_3']
[worker-3]:    I0603 06:27:54.613607 281473589146496 gce_failure_handler_test.py:203] ['ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint', 'workertemp_2', 'workertemp_1', 'workertemp_3']
[worker-1]:    INFO:tensorflow:Start polling for termination signal.
[worker-1]:    I0603 06:27:54.622400 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-0]:    I0603 06:27:54.626363 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-2]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-2]:    I0603 06:27:54.627002 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-2]:    INFO:tensorflow:Start polling for termination signal.
[worker-0]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    I0603 06:27:54.627860 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    W0603 06:27:54.626868 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    INFO:tensorflow:Start training at 8
[worker-0]:    I0603 06:27:54.627099 281473589146496 gce_failure_handler_test.py:194] Start training at 8
[worker-0]:    INFO:tensorflow:['ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint', 'workertemp_2', 'workertemp_1', 'workertemp_3']
[worker-0]:    I0603 06:27:54.630777 281473589146496 gce_failure_handler_test.py:203] ['ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint', 'workertemp_2', 'workertemp_1', 'workertemp_3']
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-2]:    I0603 06:27:54.646351 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-2]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    W0603 06:27:54.646790 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    INFO:tensorflow:Start training at 8
[worker-2]:    I0603 06:27:54.647017 281473589146496 gce_failure_handler_test.py:194] Start training at 8
[worker-2]:    INFO:tensorflow:['ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint', 'workertemp_2', 'workertemp_1', 'workertemp_3']
[worker-2]:    I0603 06:27:54.650098 281473589146496 gce_failure_handler_test.py:203] ['ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint', 'workertemp_2', 'workertemp_1', 'workertemp_3']
[worker-1]:    I0603 06:27:54.636345 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-1]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    W0603 06:27:54.636833 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    INFO:tensorflow:Start training at 8
[worker-1]:    I0603 06:27:54.637053 281473589146496 gce_failure_handler_test.py:194] Start training at 8
[worker-1]:    INFO:tensorflow:['ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint', 'workertemp_2', 'workertemp_1', 'workertemp_3']
[worker-1]:    I0603 06:27:54.658872 281473589146496 gce_failure_handler_test.py:203] ['ckpt-1.data-00000-of-00001', 'ckpt-1.index', 'checkpoint', 'workertemp_2', 'workertemp_1', 'workertemp_3']
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:54.735369 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:54.757468 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:54.768242 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:54.839683 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:54.960771 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:54.971029 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:54.980633 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:54.981148 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:55.081317 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:55.075162 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:55.091151 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:55.110948 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:55.197509 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:55.194226 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:55.195710 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:55.221107 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:epoch 1 finished
[worker-0]:    I0603 06:27:55.310104 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-3]:    INFO:tensorflow:epoch 1 finished
[worker-3]:    I0603 06:27:55.313386 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-2]:    INFO:tensorflow:epoch 1 finished
[worker-2]:    I0603 06:27:55.316546 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-1]:    INFO:tensorflow:epoch 1 finished
[worker-1]:    I0603 06:27:55.321829 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:55.331384 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:55.328653 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:55.340974 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:55.350903 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986cb9a0> 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.
[worker-2]:    W0603 06:27:55.550208 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986cb9a0> 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.
[worker-0]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906cb9a0> 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.
[worker-0]:    W0603 06:27:55.550020 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906cb9a0> 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.
[worker-3]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906cb9a0> 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.
[worker-3]:    W0603 06:27:55.551528 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906cb9a0> 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.
[worker-1]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986cb9a0> 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.
[worker-1]:    W0603 06:27:55.557532 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986cb9a0> 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.
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:55.583419 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:55.583241 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:55.602405 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:55.654815 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985c0160> 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.
[worker-1]:    W0603 06:27:55.718608 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985c0160> 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.
[worker-2]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985c4160> 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.
[worker-2]:    W0603 06:27:55.720688 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985c4160> 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.
[worker-3]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00314160> 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.
[worker-0]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00314160> 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.
[worker-0]:    W0603 06:27:55.720499 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00314160> 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.
[worker-3]:    W0603 06:27:55.717734 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00314160> 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.
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:55.732427 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:55.753226 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:55.760769 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:55.761168 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:55.872515 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:55.893297 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:55.882730 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:55.872858 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:56.037125 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:56.040714 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:56.053443 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:56.072510 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:56.180855 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:56.207830 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:56.210497 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:56.231192 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 2 finished
[worker-3]:    I0603 06:27:56.312998 281473589146496 gce_failure_handler_test.py:192] epoch 2 finished
[worker-0]:    INFO:tensorflow:epoch 2 finished
[worker-0]:    I0603 06:27:56.319929 281473589146496 gce_failure_handler_test.py:192] epoch 2 finished
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:56.331253 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:epoch 2 finished
[worker-1]:    I0603 06:27:56.326865 281473589146496 gce_failure_handler_test.py:192] epoch 2 finished
[worker-2]:    INFO:tensorflow:epoch 2 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:56.341793 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:56.351348 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:56.336629 281473589146496 gce_failure_handler_test.py:192] epoch 2 finished
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:56.346599 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:56.461858 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:56.481347 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:56.480984 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:56.500645 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:56.602427 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:56.602169 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:56.597506 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:56.608382 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:56.691246 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:56.694317 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:56.694751 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:56.712217 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:56.812427 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:56.813588 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:56.852941 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:56.842946 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:56.947364 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:56.957973 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:56.956094 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:56.983766 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 3 finished
[worker-3]:    I0603 06:27:57.085090 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-0]:    INFO:tensorflow:epoch 3 finished
[worker-0]:    I0603 06:27:57.087210 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-2]:    INFO:tensorflow:epoch 3 finished
[worker-2]:    I0603 06:27:57.093686 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:57.096891 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:epoch 3 finished
[worker-1]:    I0603 06:27:57.092275 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:57.109189 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:57.112461 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:57.122875 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:57.226891 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:57.234896 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:57.228029 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:57.243005 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:57.377296 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:57.388529 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:57.388415 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:57.382978 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:57.490195 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:57.502367 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:57.503225 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:57.543241 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:57.671676 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:57.674869 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:57.672624 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:57.678150 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:27:57.829203 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:27:57.829210 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:27:57.862111 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:27:57.891572 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 4 finished
[worker-3]:    I0603 06:27:57.942260 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-0]:    INFO:tensorflow:epoch 4 finished
[worker-3]:    INFO:tensorflow:Training finished.
[worker-1]:    INFO:tensorflow:epoch 4 finished
[worker-0]:    I0603 06:27:57.942362 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-2]:    INFO:tensorflow:epoch 4 finished
[worker-3]:    I0603 06:27:57.942659 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-1]:    I0603 06:27:57.942688 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-0]:    INFO:tensorflow:Training finished.
[worker-2]:    I0603 06:27:57.942809 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-1]:    INFO:tensorflow:Training finished.
[worker-2]:    INFO:tensorflow:Training finished.
[worker-0]:    I0603 06:27:57.942733 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-2]:    I0603 06:27:57.943227 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-1]:    I0603 06:27:57.943103 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-3]:    INFO:tensorflow:Shut down watcher for peer's termination signal.
[worker-3]:    I0603 06:27:57.952702 281473589146496 failure_handling.py:771] Shut down watcher for peer's termination signal.
[worker-0]:    INFO:tensorflow:Shut down watcher for peer's termination signal.
[worker-0]:    I0603 06:27:57.956391 281473589146496 failure_handling.py:771] Shut down watcher for peer's termination signal.
[worker-3]:    INFO:tensorflow:Shut down watcher for one's own termination signal
[worker-3]:    I0603 06:27:58.686610 281473589146496 failure_handling.py:737] Shut down watcher for one's own termination signal
[worker-0]:    INFO:tensorflow:Shut down watcher for one's own termination signal
[worker-0]:    I0603 06:27:58.727796 281473589146496 failure_handling.py:737] Shut down watcher for one's own termination signal
I0603 06:28:00.974404 281473810723712 multi_process_runner.py:646] worker-0 exit code: 0
I0603 06:28:00.974707 281473810723712 multi_process_runner.py:646] worker-1 exit code: 0
I0603 06:28:00.974844 281473810723712 multi_process_runner.py:646] worker-2 exit code: 0
I0603 06:28:00.974968 281473810723712 multi_process_runner.py:646] worker-3 exit code: 0
I0603 06:28:00.977092 281473810723712 multi_process_runner.py:662] Joining log reading threads.
I0603 06:28:00.977339 281473810723712 multi_process_runner.py:665] Joined log reading threads.
INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_basic_run_test_inputarg_checkpoint_strategyoption_MWMSmultiworker): 15.35s
I0603 06:28:01.178152 281473810723712 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_basic_run_test_inputarg_checkpoint_strategyoption_MWMSmultiworker): 15.35s
[       OK ] GceFailureHandlingTest.test_basic_run_test_inputarg_checkpoint_strategyoption_MWMSmultiworker
[ RUN      ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker
INFO:tensorflow:Using MirroredStrategy with devices ('/device:CPU:0',)
I0603 06:28:01.274426 281473810723712 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/device:CPU:0',)
INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
I0603 06:28:01.275068 281473810723712 collective_all_reduce_strategy.py:446] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
INFO:tensorflow:Start polling for termination signal.
I0603 06:28:01.318005 281473810723712 failure_handling.py:683] Start polling for termination signal.
INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
I0603 06:28:01.336345 281473810723712 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
Instructions for updating:
Track steps using a tf.Variable saved in checkpoint instead.
W0603 06:28:01.336883 281473810723712 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
Instructions for updating:
Track steps using a tf.Variable saved in checkpoint instead.
INFO:tensorflow:Start training at 0
I0603 06:28:01.337089 281473810723712 gce_failure_handler_test.py:194] Start training at 0
WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff0de97400> 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.
W0603 06:28:01.608270 281473810723712 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff0de97400> 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 call_for_each_replica.<locals>.wrapped_fn at 0xffff0de97f40> 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.
W0603 06:28:01.831024 281473810723712 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff0de97f40> 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:epoch 0 finished
I0603 06:28:01.831563 281473810723712 gce_failure_handler_test.py:192] epoch 0 finished
INFO:tensorflow:epoch 1 finished
I0603 06:28:02.525526 281473810723712 gce_failure_handler_test.py:192] epoch 1 finished
INFO:tensorflow:epoch 2 finished
I0603 06:28:02.689666 281473810723712 gce_failure_handler_test.py:192] epoch 2 finished
INFO:tensorflow:epoch 3 finished
I0603 06:28:02.868401 281473810723712 gce_failure_handler_test.py:192] epoch 3 finished
INFO:tensorflow:epoch 4 finished
I0603 06:28:03.146582 281473810723712 gce_failure_handler_test.py:192] epoch 4 finished
INFO:tensorflow:Training finished.
I0603 06:28:03.147016 281473810723712 gce_failure_handler_test.py:244] Training finished.
INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker): 1.98s
I0603 06:28:03.158164 281473810723712 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker): 1.98s
[       OK ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_checkpoint_strategyoption_MWMSmultiworker
[ RUN      ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker
INFO:tensorflow:Using MirroredStrategy with devices ('/device:CPU:0',)
I0603 06:28:03.170773 281473810723712 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/device:CPU:0',)
INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
I0603 06:28:03.171265 281473810723712 collective_all_reduce_strategy.py:446] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO
INFO:tensorflow:Start polling for termination signal.
I0603 06:28:03.189343 281473810723712 failure_handling.py:683] Start polling for termination signal.
INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
I0603 06:28:03.189979 281473810723712 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
INFO:tensorflow:Start training at 0
I0603 06:28:03.190281 281473810723712 gce_failure_handler_test.py:194] Start training at 0
INFO:tensorflow:epoch 0 finished
I0603 06:28:03.370462 281473810723712 gce_failure_handler_test.py:192] epoch 0 finished
INFO:tensorflow:epoch 1 finished
I0603 06:28:03.541671 281473810723712 gce_failure_handler_test.py:192] epoch 1 finished
INFO:tensorflow:epoch 2 finished
I0603 06:28:03.698532 281473810723712 gce_failure_handler_test.py:192] epoch 2 finished
INFO:tensorflow:epoch 3 finished
I0603 06:28:03.887637 281473810723712 gce_failure_handler_test.py:192] epoch 3 finished
INFO:tensorflow:epoch 4 finished
I0603 06:28:04.049412 281473810723712 gce_failure_handler_test.py:192] epoch 4 finished
INFO:tensorflow:Training finished.
I0603 06:28:04.049849 281473810723712 gce_failure_handler_test.py:244] Training finished.
INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker): 0.89s
I0603 06:28:04.055120 281473810723712 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker): 0.89s
[       OK ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_checkpoint_strategyoption_MWMSmultiworker
[ RUN      ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker
INFO:tensorflow:Using local port 43233
I0603 06:28:04.059929 281473810723712 test_util.py:3796] Using local port 43233
INFO:tensorflow:Using local port 45571
I0603 06:28:04.060414 281473810723712 test_util.py:3796] Using local port 45571
INFO:tensorflow:Using local port 38491
I0603 06:28:04.060749 281473810723712 test_util.py:3796] Using local port 38491
INFO:tensorflow:Using local port 38471
I0603 06:28:04.061067 281473810723712 test_util.py:3796] Using local port 38471
INFO:tensorflow:Cluster starting.
I0603 06:28:04.080628 281473810723712 gce_failure_handler_test.py:405] Cluster starting.
[worker-0]:    I0603 06:28:04.198675 281473589146496 multi_process_runner.py:840] Subprocess with PID 1352802 (worker, 0) is now being started.
[worker-0]:    I0603 06:28:04.199087 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43233", "localhost:45571", "localhost:38491", "localhost:38471"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}'
[worker-1]:    I0603 06:28:04.208832 281473589146496 multi_process_runner.py:840] Subprocess with PID 1352877 (worker, 1) is now being started.
[worker-1]:    I0603 06:28:04.209229 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43233", "localhost:45571", "localhost:38491", "localhost:38471"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}'
[worker-2]:    I0603 06:28:04.211051 281473589146496 multi_process_runner.py:840] Subprocess with PID 1352907 (worker, 2) is now being started.
[worker-2]:    I0603 06:28:04.211397 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43233", "localhost:45571", "localhost:38491", "localhost:38471"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}'
[worker-3]:    I0603 06:28:04.229150 281473589146496 multi_process_runner.py:840] Subprocess with PID 1352913 (worker, 3) is now being started.
[worker-3]:    I0603 06:28:04.229519 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43233", "localhost:45571", "localhost:38491", "localhost:38471"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}'
[worker-1]:    2023-06-03 06:28:04.245234: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:45571
[worker-2]:    2023-06-03 06:28:04.250784: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:38491
[worker-0]:    2023-06-03 06:28:04.262189: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:43233
[worker-0]:    2023-06-03 06:28:04.267757: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 2563996665698522422
[worker-2]:    2023-06-03 06:28:04.267982: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:28:04.271895: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 12628203177141636191
[worker-0]:    2023-06-03 06:28:04.272397: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:28:04.293928: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 10383032658226058893
[worker-1]:    2023-06-03 06:28:04.295001: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-3]:    2023-06-03 06:28:04.316871: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:38471
[worker-0]:    2023-06-03 06:28:04.326677: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 11613983057452262443
[worker-3]:    2023-06-03 06:28:04.327566: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-2]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-2]:    I0603 06:28:04.329497 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-0]:    I0603 06:28:04.329488 281473589146496 collective_all_reduce_strategy.py:531] 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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    I0603 06:28:04.329546 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    I0603 06:28:04.329679 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-1]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-3]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-1]:    I0603 06:28:04.389753 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-3]:    I0603 06:28:04.389760 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    INFO:tensorflow:Check health not enabled.
[worker-1]:    INFO:tensorflow:Check health not enabled.
[worker-3]:    I0603 06:28:04.390194 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-0]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-1]:    I0603 06:28:04.390193 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-3]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    I0603 06:28:04.390368 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    I0603 06:28:04.390367 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    I0603 06:28:04.391118 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    INFO:tensorflow:Check health not enabled.
[worker-2]:    I0603 06:28:04.391567 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-2]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    I0603 06:28:04.391737 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    I0603 06:28:04.391146 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    INFO:tensorflow:Check health not enabled.
[worker-0]:    I0603 06:28:04.391552 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-0]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    I0603 06:28:04.391723 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-0]:    I0603 06:28:04.435050 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-2]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-2]:    I0603 06:28:04.442325 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:    I0603 06:28:04.442338 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-0]:    INFO:tensorflow:Start polling for termination signal.
[worker-0]:    I0603 06:28:04.443589 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-2]:    INFO:tensorflow:Start polling for termination signal.
[worker-2]:    I0603 06:28:04.456708 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-3]:    INFO:tensorflow:Start polling for termination signal.
[worker-3]:    I0603 06:28:04.499686 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-2]:    Exception in thread WorkerTerminationSignalWatcher-2:
[worker-2]:    Traceback (most recent call last):
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-2]:        self.run()
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-2]:        self._target(*self._args, **self._kwargs)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-2]:        if self._termination_watcher_fn():
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-2]:        elif frequent_send and not maintenance_event.is_set():
[worker-2]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-2]:    I0603 06:28:04.500267 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-2]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    W0603 06:28:04.500615 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    INFO:tensorflow:Start training at 0
[worker-2]:    I0603 06:28:04.500775 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-3]:    Exception in thread WorkerTerminationSignalWatcher-3:
[worker-3]:    Traceback (most recent call last):
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-3]:        self.run()
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-3]:        self._target(*self._args, **self._kwargs)
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-3]:        if self._termination_watcher_fn():
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-0]:    Exception in thread WorkerTerminationSignalWatcher-0:
[worker-0]:    Traceback (most recent call last):
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-0]:        self.run()
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-3]:        elif frequent_send and not maintenance_event.is_set():
[worker-0]:        self._target(*self._args, **self._kwargs)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-0]:        if self._termination_watcher_fn():
[worker-3]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-0]:        elif frequent_send and not maintenance_event.is_set():
[worker-3]:    I0603 06:28:04.516181 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-3]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-3]:    Instructions for updating:
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    I0603 06:28:04.540076 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-3]:    W0603 06:28:04.516499 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-0]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    INFO:tensorflow:Start training at 0
[worker-3]:    I0603 06:28:04.516659 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-0]:    W0603 06:28:04.540422 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    INFO:tensorflow:Start training at 0
[worker-0]:    I0603 06:28:04.540582 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-1]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-1]:    I0603 06:28:04.569376 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-1]:    INFO:tensorflow:Start polling for termination signal.
[worker-1]:    I0603 06:28:04.606256 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:04.622085 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    Exception in thread WorkerTerminationSignalWatcher-1:
[worker-1]:    Traceback (most recent call last):
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-1]:        self.run()
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-1]:    I0603 06:28:04.626377 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-1]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    W0603 06:28:04.627406 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    INFO:tensorflow:Start training at 0
[worker-1]:    I0603 06:28:04.627591 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-1]:        self._target(*self._args, **self._kwargs)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-1]:        if self._termination_watcher_fn():
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-1]:        elif frequent_send and not maintenance_event.is_set():
[worker-1]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:04.784327 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:04.788183 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:04.778309 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:04.920122 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:04.920445 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:04.920133 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:04.952752 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:05.036469 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:05.040302 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:05.044281 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:05.046903 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:05.110638 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:05.124065 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:05.117628 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:05.191926 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:05.308777 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:05.305868 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:05.329597 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:05.353146 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-0]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-1]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-3]:    W0603 06:28:05.399191 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-0]:    W0603 06:28:05.399271 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-1]:    W0603 06:28:05.399423 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:05.407568 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:05.407513 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-2]:    W0603 06:28:05.416345 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:05.424386 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:05.425165 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00300160> 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.
[worker-3]:    W0603 06:28:05.485594 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00300160> 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.
[worker-3]:    INFO:tensorflow:epoch 0 finished
[worker-3]:    I0603 06:28:05.485949 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-0]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00300160> 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.
[worker-0]:    W0603 06:28:05.486781 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00300160> 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.
[worker-0]:    INFO:tensorflow:epoch 0 finished
[worker-0]:    I0603 06:28:05.487126 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-2]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff0030c160> 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.
[worker-2]:    W0603 06:28:05.487375 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff0030c160> 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.
[worker-2]:    INFO:tensorflow:epoch 0 finished
[worker-2]:    I0603 06:28:05.487719 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:05.493973 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:05.495261 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:05.497493 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00304160> 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.
[worker-1]:    W0603 06:28:05.506369 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00304160> 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.
[worker-1]:    INFO:tensorflow:epoch 0 finished
[worker-1]:    I0603 06:28:05.506746 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:05.514578 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:05.573961 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:05.600921 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:05.610127 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:05.625693 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:05.678835 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:05.679302 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:05.680576 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:05.690301 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:05.753467 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-0]:    I0603 06:28:06.894247 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:06.896631 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:06.910829 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 3 finished
[worker-3]:    I0603 06:28:06.954432 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-0]:    INFO:tensorflow:epoch 3 finished
[worker-0]:    I0603 06:28:06.955081 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-1]:    INFO:tensorflow:epoch 3 finished
[worker-1]:    I0603 06:28:06.954966 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-2]:    INFO:tensorflow:epoch 3 finished
[worker-2]:    I0603 06:28:06.955119 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:06.964073 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:06.964523 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:06.965228 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:06.966474 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:07.066804 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:07.177006 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:07.212707 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:07.225556 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:07.279156 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:07.286153 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:07.297106 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:07.379914 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:07.476903 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:07.483448 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:07.490321 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:07.500704 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:07.615661 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:07.620142 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:07.633646 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:07.633205 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:07.686104 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:07.686096 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:07.687298 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:07.689102 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 4 finished
[worker-3]:    I0603 06:28:07.777731 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-3]:    INFO:tensorflow:Training finished.
[worker-3]:    I0603 06:28:07.778019 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-1]:    INFO:tensorflow:epoch 4 finished
[worker-1]:    I0603 06:28:07.779244 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-2]:    INFO:tensorflow:epoch 4 finished
[worker-1]:    INFO:tensorflow:Training finished.
[worker-1]:    I0603 06:28:07.779519 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-2]:    I0603 06:28:07.779466 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-2]:    INFO:tensorflow:Training finished.
[worker-2]:    I0603 06:28:07.779724 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-0]:    INFO:tensorflow:epoch 4 finished
[worker-0]:    I0603 06:28:07.778194 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-0]:    INFO:tensorflow:Training finished.
[worker-0]:    I0603 06:28:07.778467 281473589146496 gce_failure_handler_test.py:244] Training finished.
INFO:tensorflow:restarting workers
I0603 06:28:09.247859 281473810723712 gce_failure_handler_test.py:411] restarting workers
INFO:tensorflow:workers restarted
I0603 06:28:09.308137 281473810723712 gce_failure_handler_test.py:415] workers restarted
[worker-2]:    I0603 06:28:09.537028 281473589146496 multi_process_runner.py:840] Subprocess with PID 1381424 (worker, 2) is now being started.
[worker-2]:    I0603 06:28:09.537398 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43233", "localhost:45571", "localhost:38491", "localhost:38471"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}'
[worker-0]:    I0603 06:28:09.579276 281473589146496 multi_process_runner.py:840] Subprocess with PID 1381334 (worker, 0) is now being started.
[worker-3]:    I0603 06:28:09.579904 281473589146496 multi_process_runner.py:840] Subprocess with PID 1381545 (worker, 3) is now being started.
[worker-3]:    I0603 06:28:09.580242 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43233", "localhost:45571", "localhost:38491", "localhost:38471"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}'
[worker-0]:    I0603 06:28:09.579704 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43233", "localhost:45571", "localhost:38491", "localhost:38471"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}'
[worker-1]:    I0603 06:28:09.717442 281473589146496 multi_process_runner.py:840] Subprocess with PID 1381385 (worker, 1) is now being started.
[worker-1]:    I0603 06:28:09.717792 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:43233", "localhost:45571", "localhost:38491", "localhost:38471"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}'
[worker-3]:    2023-06-03 06:28:09.750504: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:38471
[worker-2]:    2023-06-03 06:28:09.836690: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:38491
[worker-0]:    2023-06-03 06:28:09.902574: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:43233
[worker-0]:    2023-06-03 06:28:09.910437: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 11501698039779237330
[worker-2]:    2023-06-03 06:28:09.910681: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:28:09.950705: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 12894228688807858964
[worker-0]:    2023-06-03 06:28:09.951425: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-1]:    2023-06-03 06:28:10.036601: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:45571
[worker-0]:    2023-06-03 06:28:10.041901: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 8786326089730158033
[worker-1]:    2023-06-03 06:28:10.042092: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:28:10.752921: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 12608734213572505054
[worker-3]:    2023-06-03 06:28:10.753148: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-2]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    I0603 06:28:10.755271 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    I0603 06:28:10.756595 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-0]:    I0603 06:28:10.755345 281473589146496 collective_all_reduce_strategy.py:531] 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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-2]:    I0603 06:28:10.755279 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    I0603 06:28:10.822617 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    INFO:tensorflow:Check health not enabled.
[worker-1]:    I0603 06:28:10.823107 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-1]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    I0603 06:28:10.823281 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    I0603 06:28:10.823509 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    INFO:tensorflow:Check health not enabled.
[worker-2]:    I0603 06:28:10.823976 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-2]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    I0603 06:28:10.824150 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    I0603 06:28:10.822755 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    INFO:tensorflow:Check health not enabled.
[worker-0]:    I0603 06:28:10.823294 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-0]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    I0603 06:28:10.823477 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    I0603 06:28:10.840108 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    INFO:tensorflow:Check health not enabled.
[worker-3]:    I0603 06:28:10.840571 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-3]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    I0603 06:28:10.840747 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:43233', 'localhost:45571', 'localhost:38491', 'localhost:38471']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-0]:    I0603 06:28:10.909000 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-0]:    INFO:tensorflow:Start polling for termination signal.
[worker-0]:    I0603 06:28:10.909986 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:    Exception in thread WorkerTerminationSignalWatcher-0:
[worker-0]:    Traceback (most recent call last):
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-0]:    I0603 06:28:10.910582 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-0]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    W0603 06:28:10.910915 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    INFO:tensorflow:Start training at 0
[worker-0]:    I0603 06:28:10.911407 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-0]:        self.run()
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-0]:        self._target(*self._args, **self._kwargs)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-0]:        if self._termination_watcher_fn():
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-0]:        elif frequent_send and not maintenance_event.is_set():
[worker-0]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-1]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-1]:    I0603 06:28:10.925184 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:    I0603 06:28:10.931535 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:    INFO:tensorflow:Start polling for termination signal.
[worker-3]:    I0603 06:28:10.932588 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-3]:    Exception in thread WorkerTerminationSignalWatcher-3:
[worker-3]:    Traceback (most recent call last):
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-3]:        self.run()
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-3]:        self._target(*self._args, **self._kwargs)
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-3]:        if self._termination_watcher_fn():
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-2]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:        elif frequent_send and not maintenance_event.is_set():
[worker-3]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-2]:    I0603 06:28:10.935181 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-3]:    I0603 06:28:10.934663 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-3]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    W0603 06:28:10.934994 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    INFO:tensorflow:Start training at 0
[worker-3]:    I0603 06:28:10.935163 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-1]:    INFO:tensorflow:Start polling for termination signal.
[worker-1]:    I0603 06:28:10.943394 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-2]:    INFO:tensorflow:Start polling for termination signal.
[worker-2]:    I0603 06:28:10.946465 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-2]:    Exception in thread WorkerTerminationSignalWatcher-2:
[worker-2]:    Traceback (most recent call last):
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-2]:        self.run()
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-2]:    I0603 06:28:10.947711 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-2]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    W0603 06:28:10.948063 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    INFO:tensorflow:Start training at 0
[worker-2]:    I0603 06:28:10.948235 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-2]:        self._target(*self._args, **self._kwargs)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-2]:        if self._termination_watcher_fn():
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-2]:        elif frequent_send and not maintenance_event.is_set():
[worker-2]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-1]:    Exception in thread WorkerTerminationSignalWatcher-1:
[worker-1]:    Traceback (most recent call last):
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-1]:        self.run()
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-1]:        self._target(*self._args, **self._kwargs)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-1]:        if self._termination_watcher_fn():
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-1]:        elif frequent_send and not maintenance_event.is_set():
[worker-1]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-1]:    I0603 06:28:10.958164 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-1]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    W0603 06:28:10.958527 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    INFO:tensorflow:Start training at 0
[worker-1]:    I0603 06:28:10.958696 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:11.016322 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:11.096006 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:11.128624 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:11.136368 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:11.248270 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:11.247439 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:11.261072 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:11.260349 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:11.385903 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:11.400824 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:11.425760 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:11.420084 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:11.544759 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:11.553611 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:11.544857 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:11.560536 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:11.618276 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:11.625422 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:11.625757 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:11.660580 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-3]:    W0603 06:28:11.726486 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-0]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986b3910> 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.
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:11.734715 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa06b3910> 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.
[worker-2]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa06b3910> 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.
[worker-2]:    W0603 06:28:11.736475 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa06b3910> 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.
[worker-1]:    W0603 06:28:11.731731 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa06b3910> 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.
[worker-0]:    W0603 06:28:11.726775 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986b3910> 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.
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:11.736642 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:11.739931 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:11.744899 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00304160> 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.
[worker-3]:    W0603 06:28:11.806557 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00304160> 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.
[worker-0]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b4160> 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.
[worker-3]:    INFO:tensorflow:epoch 0 finished
[worker-0]:    W0603 06:28:11.806933 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b4160> 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.
[worker-3]:    I0603 06:28:11.806936 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-0]:    INFO:tensorflow:epoch 0 finished
[worker-0]:    I0603 06:28:11.807366 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-1]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa05b4160> 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.
[worker-2]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa05b4160> 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.
[worker-1]:    W0603 06:28:11.811969 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa05b4160> 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.
[worker-2]:    W0603 06:28:11.817062 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa05b4160> 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.
[worker-1]:    INFO:tensorflow:epoch 0 finished
[worker-2]:    INFO:tensorflow:epoch 0 finished
[worker-1]:    I0603 06:28:11.812333 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-2]:    I0603 06:28:11.817446 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:11.828068 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:11.842809 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:11.850697 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:11.867501 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:11.967422 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:11.980389 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:11.976654 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:11.980504 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:12.034472 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:12.041227 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:12.033761 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:12.050615 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:12.119313 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:12.119658 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:12.119873 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:12.125477 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:12.204401 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:12.204806 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:12.201730 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:12.205162 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:12.271715 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:12.272778 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:12.272813 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:12.274555 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 1 finished
[worker-1]:    INFO:tensorflow:epoch 1 finished
[worker-0]:    INFO:tensorflow:epoch 1 finished
[worker-3]:    I0603 06:28:12.329132 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-1]:    I0603 06:28:12.329202 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-0]:    I0603 06:28:12.329084 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-2]:    INFO:tensorflow:epoch 1 finished
[worker-2]:    I0603 06:28:12.329354 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:12.338516 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:12.342494 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:12.337836 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:12.337430 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
INFO:tensorflow:Termination notice available.
I0603 06:28:12.406269 281462921949664 gce_failure_handler_test.py:142] Termination notice available.
INFO:tensorflow:Member single_worker has received termination notice.
I0603 06:28:12.406673 281462921949664 failure_handling.py:701] Member single_worker has received termination notice.
Exception ignored in: <function PreemptionCheckpointHandler.__del__ at 0xffff0dfcb1c0>
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 775, in __del__
    self._stop_poll_termination_signal_thread()
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 734, in _stop_poll_termination_signal_thread
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
    self._poll_termination_signal_thread.join()
  File "/usr/lib/python3.10/threading.py", line 1093, in join
    raise RuntimeError("cannot join current thread")
RuntimeError: cannot join current thread
[worker-1]:    I0603 06:28:12.407572 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:12.407016 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:12.408585 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:12.422378 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:12.485509 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:12.490638 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:12.510662 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:12.510962 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:12.600522 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:12.600224 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:12.601125 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:12.650735 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:12.705729 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:12.707314 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:12.707471 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:12.737660 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:12.799864 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:12.800093 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:12.810409 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:12.825539 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 2 finished
[worker-1]:    INFO:tensorflow:epoch 2 finished
[worker-3]:    I0603 06:28:12.873394 281473589146496 gce_failure_handler_test.py:192] epoch 2 finished
[worker-1]:    I0603 06:28:12.873487 281473589146496 gce_failure_handler_test.py:192] epoch 2 finished
[worker-0]:    INFO:tensorflow:epoch 2 finished
[worker-0]:    I0603 06:28:12.878268 281473589146496 gce_failure_handler_test.py:192] epoch 2 finished
[worker-2]:    INFO:tensorflow:epoch 2 finished
[worker-2]:    I0603 06:28:12.886305 281473589146496 gce_failure_handler_test.py:192] epoch 2 finished
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:12.888039 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:12.900581 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:12.900623 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:12.920124 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:13.010308 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:13.060930 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:13.042517 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:13.261588 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:13.350877 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:13.366323 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:13.350324 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:13.380839 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:13.480309 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:13.498082 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:13.532335 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:13.680227 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:14.022351 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:14.042501 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:14.030656 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:14.100408 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:14.214312 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:14.214889 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:14.215229 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:14.240368 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 3 finished
[worker-3]:    I0603 06:28:14.326462 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-0]:    INFO:tensorflow:epoch 3 finished
[worker-0]:    I0603 06:28:14.327116 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-2]:    INFO:tensorflow:epoch 3 finished
[worker-1]:    INFO:tensorflow:epoch 3 finished
[worker-2]:    I0603 06:28:14.332700 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-1]:    I0603 06:28:14.332746 281473589146496 gce_failure_handler_test.py:192] epoch 3 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:14.334771 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:14.342608 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:14.337104 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:14.370467 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:14.468116 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:14.460205 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:14.504885 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:14.492721 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:14.689942 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:14.692895 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:14.701551 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:14.753605 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:14.815385 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:14.816515 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:14.817388 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:14.819046 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:14.879021 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:14.880058 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:14.880111 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:14.880063 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:14.954251 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:14.955640 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:14.981093 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:14.990134 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 4 finished
[worker-3]:    I0603 06:28:15.041429 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-3]:    INFO:tensorflow:Training finished.
[worker-3]:    I0603 06:28:15.041728 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-1]:    INFO:tensorflow:epoch 4 finished
[worker-1]:    I0603 06:28:15.048581 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-1]:    INFO:tensorflow:Training finished.
[worker-2]:    INFO:tensorflow:epoch 4 finished
[worker-0]:    INFO:tensorflow:epoch 4 finished
[worker-1]:    I0603 06:28:15.048869 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-2]:    I0603 06:28:15.048855 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-0]:    I0603 06:28:15.049414 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-2]:    INFO:tensorflow:Training finished.
[worker-0]:    INFO:tensorflow:Training finished.
[worker-2]:    I0603 06:28:15.049229 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-0]:    I0603 06:28:15.049751 281473589146496 gce_failure_handler_test.py:244] Training finished.
I0603 06:28:15.264045 281473810723712 multi_process_runner.py:646] worker-0 exit code: 0
I0603 06:28:15.264381 281473810723712 multi_process_runner.py:646] worker-1 exit code: 0
I0603 06:28:15.264517 281473810723712 multi_process_runner.py:646] worker-2 exit code: 0
I0603 06:28:15.264642 281473810723712 multi_process_runner.py:646] worker-3 exit code: 0
I0603 06:28:15.267362 281473810723712 multi_process_runner.py:662] Joining log reading threads.
I0603 06:28:15.267603 281473810723712 multi_process_runner.py:665] Joined log reading threads.
INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker): 11.54s
I0603 06:28:15.603340 281473810723712 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker): 11.54s
[       OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker
[ RUN      ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker
INFO:tensorflow:Using local port 44079
I0603 06:28:15.605559 281473810723712 test_util.py:3796] Using local port 44079
INFO:tensorflow:Using local port 40767
I0603 06:28:15.605943 281473810723712 test_util.py:3796] Using local port 40767
INFO:tensorflow:Using local port 33341
I0603 06:28:15.606288 281473810723712 test_util.py:3796] Using local port 33341
INFO:tensorflow:Using local port 39427
I0603 06:28:15.606619 281473810723712 test_util.py:3796] Using local port 39427
INFO:tensorflow:Cluster starting.
I0603 06:28:15.646960 281473810723712 gce_failure_handler_test.py:405] Cluster starting.
[worker-0]:    I0603 06:28:15.881666 281473589146496 multi_process_runner.py:840] Subprocess with PID 1412121 (worker, 0) is now being started.
[worker-0]:    I0603 06:28:15.882124 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44079", "localhost:40767", "localhost:33341", "localhost:39427"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}'
[worker-0]:    2023-06-03 06:28:15.945997: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:44079
[worker-1]:    I0603 06:28:15.964378 281473589146496 multi_process_runner.py:840] Subprocess with PID 1412175 (worker, 1) is now being started.
[worker-1]:    I0603 06:28:15.964819 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44079", "localhost:40767", "localhost:33341", "localhost:39427"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}'
[worker-3]:    I0603 06:28:15.975062 281473589146496 multi_process_runner.py:840] Subprocess with PID 1412195 (worker, 3) is now being started.
[worker-2]:    I0603 06:28:15.974448 281473589146496 multi_process_runner.py:840] Subprocess with PID 1412191 (worker, 2) is now being started.
[worker-3]:    I0603 06:28:15.975431 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44079", "localhost:40767", "localhost:33341", "localhost:39427"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}'
[worker-2]:    I0603 06:28:15.974885 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44079", "localhost:40767", "localhost:33341", "localhost:39427"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}'
[worker-0]:    2023-06-03 06:28:15.987399: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 3604369930247503158
[worker-0]:    2023-06-03 06:28:15.987957: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-1]:    2023-06-03 06:28:16.084328: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:40767
[worker-0]:    2023-06-03 06:28:16.097563: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 118567009842845371
[worker-1]:    2023-06-03 06:28:16.097803: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-2]:    2023-06-03 06:28:16.171811: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:33341
[worker-0]:    2023-06-03 06:28:16.251504: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 14225979020658968598
[worker-2]:    2023-06-03 06:28:16.251842: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-3]:    2023-06-03 06:28:16.325304: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:39427
[worker-0]:    2023-06-03 06:28:16.370270: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 7089973790949331942
[worker-2]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-2]:    I0603 06:28:16.394945 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    2023-06-03 06:28:16.376977: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-0]:    I0603 06:28:16.395023 281473589146496 collective_all_reduce_strategy.py:531] 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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    I0603 06:28:16.397681 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-3]:    I0603 06:28:16.418894 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-0]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    I0603 06:28:16.509771 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    INFO:tensorflow:Check health not enabled.
[worker-0]:    I0603 06:28:16.510338 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-0]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    I0603 06:28:16.510516 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    I0603 06:28:16.513736 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    INFO:tensorflow:Check health not enabled.
[worker-1]:    I0603 06:28:16.514289 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-1]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    I0603 06:28:16.514461 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    I0603 06:28:16.580190 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    INFO:tensorflow:Check health not enabled.
[worker-3]:    I0603 06:28:16.580692 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-3]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    I0603 06:28:16.580869 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    I0603 06:28:16.622099 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    INFO:tensorflow:Check health not enabled.
[worker-2]:    I0603 06:28:16.622653 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-2]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    I0603 06:28:16.622835 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-2]:    I0603 06:28:16.707298 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-2]:    INFO:tensorflow:Start polling for termination signal.
[worker-2]:    I0603 06:28:16.708150 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-2]:    Exception in thread WorkerTerminationSignalWatcher-2:
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-2]:    I0603 06:28:16.708592 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-2]:    Traceback (most recent call last):
[worker-2]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    W0603 06:28:16.708951 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-2]:    INFO:tensorflow:Start training at 0
[worker-2]:    I0603 06:28:16.709180 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-2]:        self.run()
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-2]:        self._target(*self._args, **self._kwargs)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-2]:        if self._termination_watcher_fn():
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-2]:        elif frequent_send and not maintenance_event.is_set():
[worker-2]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-0]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-0]:    I0603 06:28:16.716524 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-0]:    INFO:tensorflow:Start polling for termination signal.
[worker-0]:    I0603 06:28:16.717340 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:    Exception in thread WorkerTerminationSignalWatcher-0:
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-0]:    Traceback (most recent call last):
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-0]:    I0603 06:28:16.717850 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-0]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    W0603 06:28:16.718403 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-3]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    INFO:tensorflow:Start training at 0
[worker-1]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-0]:    I0603 06:28:16.718649 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-1]:    I0603 06:28:16.719899 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-1]:    INFO:tensorflow:Start polling for termination signal.
[worker-1]:    I0603 06:28:16.721132 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-1]:    Exception in thread WorkerTerminationSignalWatcher-1:
[worker-1]:    Traceback (most recent call last):
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-1]:        self.run()
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-0]:        self.run()
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-1]:        self._target(*self._args, **self._kwargs)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-0]:        self._target(*self._args, **self._kwargs)
[worker-1]:        if self._termination_watcher_fn():
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-0]:        if self._termination_watcher_fn():
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-1]:        elif frequent_send and not maintenance_event.is_set():
[worker-0]:        elif frequent_send and not maintenance_event.is_set():
[worker-1]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-0]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-1]:    I0603 06:28:16.723007 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-1]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    W0603 06:28:16.723340 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    INFO:tensorflow:Start training at 0
[worker-1]:    I0603 06:28:16.723509 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-3]:    I0603 06:28:16.719843 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:    INFO:tensorflow:Start polling for termination signal.
[worker-3]:    I0603 06:28:16.720654 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-3]:    Exception in thread WorkerTerminationSignalWatcher-3:
[worker-3]:    Traceback (most recent call last):
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-3]:        self.run()
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-3]:        self._target(*self._args, **self._kwargs)
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-3]:        if self._termination_watcher_fn():
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-3]:        elif frequent_send and not maintenance_event.is_set():
[worker-3]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-3]:    I0603 06:28:16.722597 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-3]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    W0603 06:28:16.722891 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    INFO:tensorflow:Start training at 0
[worker-3]:    I0603 06:28:16.723058 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:16.819295 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:16.823617 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:16.820452 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:16.847744 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:16.918930 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:16.935439 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:16.935487 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:16.919908 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:16.998211 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:17.006067 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:17.010623 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:17.047869 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:17.133255 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:17.133606 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:17.139434 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:17.168001 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:17.283648 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:17.283128 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:17.284398 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:17.300934 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff9c633910> 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.
[worker-0]:    W0603 06:28:17.378794 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff9c633910> 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.
[worker-3]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa06b3910> 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.
[worker-3]:    W0603 06:28:17.390007 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa06b3910> 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.
[worker-1]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-2]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff90cc3910> 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.
[worker-1]:    W0603 06:28:17.389850 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-2]:    W0603 06:28:17.390046 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff90cc3910> 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.
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:17.388024 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:17.401012 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:17.411433 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:17.421057 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff9c538160> 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.
[worker-1]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00308160> 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.
[worker-2]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff90bc4160> 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.
[worker-0]:    W0603 06:28:17.500891 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff9c538160> 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.
[worker-1]:    W0603 06:28:17.501029 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00308160> 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.
[worker-2]:    W0603 06:28:17.501246 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff90bc4160> 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.
[worker-0]:    INFO:tensorflow:epoch 0 finished
[worker-1]:    INFO:tensorflow:epoch 0 finished
[worker-2]:    INFO:tensorflow:epoch 0 finished
[worker-0]:    I0603 06:28:17.501284 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-1]:    I0603 06:28:17.501442 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-2]:    I0603 06:28:17.501627 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:17.510105 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:17.510226 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:17.510028 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa05b8160> 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.
[worker-3]:    W0603 06:28:17.515616 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa05b8160> 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.
[worker-3]:    INFO:tensorflow:epoch 0 finished
[worker-3]:    I0603 06:28:17.516042 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:17.529651 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:17.597974 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:17.615231 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:17.611495 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:17.640825 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:17.736639 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:17.736837 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:17.761634 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:17.761030 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:18.145188 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:18.165490 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:18.160658 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:18.195103 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:18.253712 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:18.248415 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:18.248414 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:18.290562 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:18.386079 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:18.402272 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:18.401198 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:18.398285 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:epoch 1 finished
[worker-3]:    INFO:tensorflow:epoch 1 finished
[worker-3]:    I0603 06:28:18.494028 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-0]:    I0603 06:28:18.493992 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-2]:    INFO:tensorflow:epoch 1 finished
[worker-2]:    I0603 06:28:18.500222 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:18.503362 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:epoch 1 finished
[worker-1]:    I0603 06:28:18.504920 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:18.513889 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:18.502761 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:18.514531 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:18.578286 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:18.584084 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:18.597849 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:18.612666 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:18.701440 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:18.710827 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:18.721043 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-0]:    I0603 06:28:19.480749 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-3]:    I0603 06:28:20.517782 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-1]:    I0603 06:28:20.524101 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:epoch 3 finished
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[worker-0]:    INFO:tensorflow:epoch 3 finished
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[worker-0]:    I0603 06:28:21.620709 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:22.002624 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:22.021040 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:22.011844 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:22.059720 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 4 finished
[worker-3]:    I0603 06:28:22.127478 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-3]:    INFO:tensorflow:Training finished.
[worker-3]:    I0603 06:28:22.127841 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-0]:    INFO:tensorflow:epoch 4 finished
[worker-0]:    I0603 06:28:22.129957 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-0]:    INFO:tensorflow:Training finished.
[worker-0]:    I0603 06:28:22.130235 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-1]:    INFO:tensorflow:epoch 4 finished
[worker-1]:    I0603 06:28:22.134015 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-1]:    INFO:tensorflow:Training finished.
[worker-1]:    I0603 06:28:22.134315 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-2]:    INFO:tensorflow:epoch 4 finished
[worker-2]:    I0603 06:28:22.134947 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-2]:    INFO:tensorflow:Training finished.
[worker-2]:    I0603 06:28:22.135234 281473589146496 gce_failure_handler_test.py:244] Training finished.
INFO:tensorflow:restarting workers
I0603 06:28:24.746329 281473810723712 gce_failure_handler_test.py:411] restarting workers
INFO:tensorflow:workers restarted
I0603 06:28:24.784498 281473810723712 gce_failure_handler_test.py:415] workers restarted
[worker-1]:    I0603 06:28:24.859245 281473589146496 multi_process_runner.py:840] Subprocess with PID 1455090 (worker, 1) is now being started.
[worker-1]:    I0603 06:28:24.859615 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44079", "localhost:40767", "localhost:33341", "localhost:39427"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}'
[worker-3]:    I0603 06:28:24.871074 281473589146496 multi_process_runner.py:840] Subprocess with PID 1455491 (worker, 3) is now being started.
[worker-3]:    I0603 06:28:24.871452 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44079", "localhost:40767", "localhost:33341", "localhost:39427"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}'
[worker-2]:    I0603 06:28:24.904053 281473589146496 multi_process_runner.py:840] Subprocess with PID 1455275 (worker, 2) is now being started.
[worker-2]:    I0603 06:28:24.904424 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44079", "localhost:40767", "localhost:33341", "localhost:39427"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}'
[worker-0]:    I0603 06:28:24.905857 281473589146496 multi_process_runner.py:840] Subprocess with PID 1454789 (worker, 0) is now being started.
[worker-0]:    I0603 06:28:24.906250 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:44079", "localhost:40767", "localhost:33341", "localhost:39427"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}'
[worker-3]:    2023-06-03 06:28:24.948348: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:39427
[worker-2]:    2023-06-03 06:28:24.974405: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:33341
[worker-1]:    2023-06-03 06:28:24.993864: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:40767
[worker-0]:    2023-06-03 06:28:25.076819: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:44079
[worker-0]:    2023-06-03 06:28:25.137824: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 7567162714760137717
[worker-0]:    2023-06-03 06:28:25.137909: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 16831602700400780941
[worker-1]:    2023-06-03 06:28:25.145463: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-2]:    2023-06-03 06:28:25.145462: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:28:25.152025: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 8314445614892004317
[worker-3]:    2023-06-03 06:28:25.152579: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:28:25.162314: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 3066532438859121544
[worker-0]:    2023-06-03 06:28:25.163088: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-2]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-2]:    I0603 06:28:25.165549 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    I0603 06:28:25.165462 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-1]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-0]:    I0603 06:28:25.165581 281473589146496 collective_all_reduce_strategy.py:531] 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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    I0603 06:28:25.182507 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    I0603 06:28:25.230169 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    INFO:tensorflow:Check health not enabled.
[worker-3]:    I0603 06:28:25.230611 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-3]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    I0603 06:28:25.230796 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    I0603 06:28:25.247775 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    INFO:tensorflow:Check health not enabled.
[worker-1]:    I0603 06:28:25.249026 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-1]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    I0603 06:28:25.249710 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    I0603 06:28:25.247533 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    INFO:tensorflow:Check health not enabled.
[worker-2]:    I0603 06:28:25.247970 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-2]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    I0603 06:28:25.248140 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    I0603 06:28:25.271961 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    INFO:tensorflow:Check health not enabled.
[worker-0]:    I0603 06:28:25.272587 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-0]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    I0603 06:28:25.272776 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:44079', 'localhost:40767', 'localhost:33341', 'localhost:39427']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:    I0603 06:28:25.450615 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:    INFO:tensorflow:Start polling for termination signal.
[worker-3]:    I0603 06:28:25.451278 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:    Exception in thread WorkerTerminationSignalWatcher-3:
[worker-3]:    Traceback (most recent call last):
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-3]:        self.run()
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-0]:    I0603 06:28:25.462023 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:        self._target(*self._args, **self._kwargs)
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-3]:        if self._termination_watcher_fn():
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-3]:        elif frequent_send and not maintenance_event.is_set():
[worker-3]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-3]:    I0603 06:28:25.468142 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-3]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    W0603 06:28:25.468509 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    INFO:tensorflow:Start training at 0
[worker-3]:    I0603 06:28:25.468672 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-0]:    INFO:tensorflow:Start polling for termination signal.
[worker-0]:    I0603 06:28:25.472380 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:    Exception in thread WorkerTerminationSignalWatcher-0:
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-0]:    Traceback (most recent call last):
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-0]:        self.run()
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-0]:        self._target(*self._args, **self._kwargs)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-1]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-0]:        if self._termination_watcher_fn():
[worker-1]:    I0603 06:28:25.476293 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-1]:    INFO:tensorflow:Start polling for termination signal.
[worker-1]:    I0603 06:28:25.477074 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-0]:        elif frequent_send and not maintenance_event.is_set():
[worker-0]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-0]:    I0603 06:28:25.473028 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-0]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    W0603 06:28:25.475155 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    INFO:tensorflow:Start training at 0
[worker-0]:    I0603 06:28:25.475348 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-2]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-2]:    I0603 06:28:25.501390 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-1]:    Exception in thread WorkerTerminationSignalWatcher-1:
[worker-1]:    Traceback (most recent call last):
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-1]:        self.run()
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-1]:        self._target(*self._args, **self._kwargs)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-1]:        if self._termination_watcher_fn():
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-1]:        elif frequent_send and not maintenance_event.is_set():
[worker-1]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-1]:    I0603 06:28:25.498904 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-1]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    W0603 06:28:25.499273 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    INFO:tensorflow:Start training at 0
[worker-1]:    I0603 06:28:25.499439 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-2]:    INFO:tensorflow:Start polling for termination signal.
[worker-2]:    I0603 06:28:25.537560 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-2]:    Exception in thread WorkerTerminationSignalWatcher-2:
[worker-2]:    Traceback (most recent call last):
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-2]:        self.run()
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-2]:        self._target(*self._args, **self._kwargs)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-2]:        if self._termination_watcher_fn():
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-2]:        elif frequent_send and not maintenance_event.is_set():
[worker-2]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-2]:    I0603 06:28:25.555100 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-2]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    W0603 06:28:25.555498 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    INFO:tensorflow:Start training at 0
[worker-2]:    I0603 06:28:25.555660 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:25.596286 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:25.594618 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:25.613988 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:25.665883 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:25.758957 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:25.754448 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:25.770047 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:25.770044 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:25.822008 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:25.822566 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:25.822541 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:25.822081 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:25.920835 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:25.941431 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:25.935332 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:25.952308 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:26.115923 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:26.142216 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:26.150597 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:26.164428 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986b3910> 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.
[worker-0]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00303910> 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.
[worker-0]:    W0603 06:28:26.254700 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00303910> 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.
[worker-3]:    W0603 06:28:26.248486 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986b3910> 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.
[worker-2]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986af910> 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.
[worker-2]:    W0603 06:28:26.265817 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986af910> 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.
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:26.270827 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906af910> 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.
[worker-1]:    W0603 06:28:26.260460 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906af910> 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.
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:26.450669 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:26.470858 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:26.490937 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b4160> 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.
[worker-3]:    W0603 06:28:26.619536 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b4160> 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.
[worker-3]:    INFO:tensorflow:epoch 0 finished
[worker-3]:    I0603 06:28:26.619895 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-0]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00200160> 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.
[worker-0]:    W0603 06:28:26.627025 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00200160> 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.
[worker-1]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00308160> 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.
[worker-0]:    INFO:tensorflow:epoch 0 finished
[worker-1]:    W0603 06:28:26.628188 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00308160> 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.
[worker-0]:    I0603 06:28:26.627400 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-1]:    INFO:tensorflow:epoch 0 finished
[worker-1]:    I0603 06:28:26.628539 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b8160> 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.
[worker-0]:    I0603 06:28:26.650566 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    W0603 06:28:26.646913 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b8160> 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.
[worker-2]:    INFO:tensorflow:epoch 0 finished
[worker-2]:    I0603 06:28:26.647270 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:26.654920 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:26.650295 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:26.674240 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:27.008358 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-0]:    I0603 06:28:27.030701 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-3]:    I0603 06:28:27.031888 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-2]:    I0603 06:28:27.060158 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-2]:    I0603 06:28:27.123314 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:27.125386 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:27.191015 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:27.380146 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:27.467082 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:27.472283 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:27.468019 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:27.520220 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:27.613542 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:27.630772 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:27.620481 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:27.657087 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:27.731144 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:27.744208 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:27.743733 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:27.752820 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 1 finished
[worker-3]:    I0603 06:28:27.808719 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:27.816619 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:epoch 1 finished
[worker-1]:    INFO:tensorflow:epoch 1 finished
[worker-1]:    I0603 06:28:27.831887 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-0]:    I0603 06:28:27.826560 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-2]:    INFO:tensorflow:epoch 1 finished
[worker-2]:    I0603 06:28:27.836822 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:27.846208 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:28.020345 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:28.157056 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:28.277770 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:28.274755 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:28:28.267072 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:28.287016 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:28.417072 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-1]:    I0603 06:28:28.425113 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-0]:    I0603 06:28:28.431284 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-2]:    I0603 06:28:28.450277 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-2]:    I0603 06:28:28.542107 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:28:28.538764 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-0]:    I0603 06:28:28.564622 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-1]:    I0603 06:28:28.578893 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-2]:    I0603 06:28:28.656658 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-0]:    I0603 06:28:28.659295 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-1]:    I0603 06:28:28.659859 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-3]:    I0603 06:28:28.656208 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-3]:    I0603 06:28:28.726897 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-0]:    I0603 06:28:28.727619 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:28:28.732645 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-1]:    I0603 06:28:28.760380 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:epoch 2 finished
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[worker-3]:    INFO:tensorflow:epoch 2 finished
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[worker-2]:    I0603 06:28:28.846091 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:28:28.846564 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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I0603 06:28:30.778137 281473810723712 multi_process_runner.py:646] worker-0 exit code: 0
I0603 06:28:30.778458 281473810723712 multi_process_runner.py:646] worker-1 exit code: 0
I0603 06:28:30.778599 281473810723712 multi_process_runner.py:646] worker-2 exit code: 0
I0603 06:28:30.778721 281473810723712 multi_process_runner.py:646] worker-3 exit code: 0
I0603 06:28:30.781724 281473810723712 multi_process_runner.py:662] Joining log reading threads.
I0603 06:28:30.782030 281473810723712 multi_process_runner.py:665] Joined log reading threads.
INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker): 15.34s
I0603 06:28:30.939753 281473810723712 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker): 15.34s
[       OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker
[ RUN      ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker
INFO:tensorflow:Using local port 41357
I0603 06:28:30.941744 281473810723712 test_util.py:3796] Using local port 41357
INFO:tensorflow:Using local port 44785
I0603 06:28:30.942188 281473810723712 test_util.py:3796] Using local port 44785
INFO:tensorflow:Using local port 40583
I0603 06:28:30.942524 281473810723712 test_util.py:3796] Using local port 40583
INFO:tensorflow:Using local port 40303
I0603 06:28:30.942838 281473810723712 test_util.py:3796] Using local port 40303
INFO:tensorflow:Cluster starting.
I0603 06:28:30.999265 281473810723712 gce_failure_handler_test.py:405] Cluster starting.
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[worker-0]:    I0603 06:28:31.678434 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41357", "localhost:44785", "localhost:40583", "localhost:40303"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}'
[worker-1]:    I0603 06:28:31.711569 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41357", "localhost:44785", "localhost:40583", "localhost:40303"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}'
[worker-2]:    I0603 06:28:31.742446 281473589146496 multi_process_runner.py:840] Subprocess with PID 1510426 (worker, 2) is now being started.
[worker-3]:    I0603 06:28:31.742702 281473589146496 multi_process_runner.py:840] Subprocess with PID 1510448 (worker, 3) is now being started.
[worker-1]:    E0603 06:28:31.745835009 1510418 server_chttp2.cc:40]        {"created":"@1685773711.745712096","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":"@1685773711.745704980","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":"@1685773711.745676957","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":"@1685773711.745662156","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":"@1685773711.745704080","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":"@1685773711.745697074","description":"Address already in use","errno":98,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":189,"os_error":"Address already in use","syscall":"bind"}]}]}]}
[worker-2]:    I0603 06:28:31.742919 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41357", "localhost:44785", "localhost:40583", "localhost:40303"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}'
[worker-1]:    2023-06-03 06:28:31.745974: E tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:608] UNKNOWN: Could not start gRPC server
[worker-3]:    I0603 06:28:31.743143 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41357", "localhost:44785", "localhost:40583", "localhost:40303"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}'
[worker-1]:    2023-06-03 06:28:31.756584: E tensorflow/core/common_runtime/eager/context_distributed_manager.cc:699] Could not start gRPC server
[worker-1]:    Process _Process-27:
[worker-1]:    Traceback (most recent call last):
[worker-1]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
[worker-1]:        self.run()
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755, in _run_with_setenv
[worker-1]:        return self._actual_run()
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in _run_with_absl
[worker-1]:        app.run(lambda _: self._run_impl())
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 312, in run
[worker-1]:        _run_main(main, args)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 258, in _run_main
[worker-1]:        sys.exit(main(argv))
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in <lambda>
[worker-1]:        app.run(lambda _: self._run_impl())
[worker-1]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
[worker-1]:        self._target(*self._args, **self._kwargs)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 866, in __call__
[worker-1]:        six.reraise(*info.exc_info)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/six_archive/six.py", line 719, in reraise
[worker-1]:        raise value
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained
[worker-1]:        return_value = fn(*args, **kwargs)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 134, in worker_fn
[worker-1]:        strategy = collective_all_reduce_strategy.CollectiveAllReduceStrategy()
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 186, in __init__
[worker-1]:        CollectiveAllReduceExtended(
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 339, in __init__
[worker-1]:        self._initialize_strategy(self._cluster_resolver, devices=devices)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 358, in _initialize_strategy
[worker-1]:        self._initialize_multi_worker(cluster_resolver)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 530, in _initialize_multi_worker
[worker-1]:        context.context().ensure_initialized()
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/context.py", line 610, in ensure_initialized
[worker-1]:        pywrap_tfe.TFE_EnableCollectiveOps(context_handle, server_def_str)
[worker-1]:    tensorflow.python.framework.errors_impl.UnknownError: Could not start gRPC server
[worker-3]:    2023-06-03 06:28:31.833705: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:40303
[worker-0]:    2023-06-03 06:28:31.847397: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:41357
[worker-0]:    2023-06-03 06:28:31.895198: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 3203110862917870292
[worker-3]:    2023-06-03 06:28:31.895481: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:28:31.900459: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 1062261252021001249
[worker-0]:    2023-06-03 06:28:31.900772: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-2]:    2023-06-03 06:28:31.909964: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:40583
[worker-0]:    2023-06-03 06:28:31.916300: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 3642129307036508739
[worker-2]:    2023-06-03 06:28:31.916575: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
INFO:tensorflow:Termination notice available.
I0603 06:28:50.487291 281462913495520 gce_failure_handler_test.py:142] Termination notice available.
INFO:tensorflow:Member single_worker has received termination notice.
I0603 06:28:50.487698 281462913495520 failure_handling.py:701] Member single_worker has received termination notice.
Exception ignored in: <function PreemptionCheckpointHandler.__del__ at 0xffff0dfcb1c0>
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 775, in __del__
    self._stop_poll_termination_signal_thread()
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 734, in _stop_poll_termination_signal_thread
    self._poll_termination_signal_thread.join()
  File "/usr/lib/python3.10/threading.py", line 1093, in join
    raise RuntimeError("cannot join current thread")
RuntimeError: cannot join current thread
INFO:tensorflow:restarting workers
I0603 06:29:01.399334 281473810723712 gce_failure_handler_test.py:411] restarting workers
INFO:tensorflow:workers restarted
I0603 06:29:01.458638 281473810723712 gce_failure_handler_test.py:415] workers restarted
[worker-0]:    I0603 06:29:01.544097 281473589146496 multi_process_runner.py:840] Subprocess with PID 1541251 (worker, 0) is now being started.
[worker-0]:    I0603 06:29:01.544532 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41357", "localhost:44785", "localhost:40583", "localhost:40303"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}'
[worker-0]:    E0603 06:29:01.568134049 1541251 server_chttp2.cc:40]        {"created":"@1685773741.568008656","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":"@1685773741.568002755","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":"@1685773741.567973542","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":"@1685773741.567957560","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":"@1685773741.568001730","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":"@1685773741.567995064","description":"Address already in use","errno":98,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":189,"os_error":"Address already in use","syscall":"bind"}]}]}]}
[worker-0]:    2023-06-03 06:29:01.568276: E tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:608] UNKNOWN: Could not start gRPC server
[worker-0]:    2023-06-03 06:29:01.568583: E tensorflow/core/common_runtime/eager/context_distributed_manager.cc:699] Could not start gRPC server
[worker-3]:    I0603 06:29:01.628812 281473589146496 multi_process_runner.py:840] Subprocess with PID 1541262 (worker, 3) is now being started.
[worker-1]:    I0603 06:29:01.629129 281473589146496 multi_process_runner.py:840] Subprocess with PID 1541253 (worker, 1) is now being started.
[worker-2]:    I0603 06:29:01.632165 281473589146496 multi_process_runner.py:840] Subprocess with PID 1541255 (worker, 2) is now being started.
[worker-3]:    I0603 06:29:01.629238 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41357", "localhost:44785", "localhost:40583", "localhost:40303"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}'
[worker-1]:    I0603 06:29:01.629496 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41357", "localhost:44785", "localhost:40583", "localhost:40303"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}'
[worker-2]:    I0603 06:29:01.632542 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:41357", "localhost:44785", "localhost:40583", "localhost:40303"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}'
[worker-0]:    Process _Process-30:
[worker-0]:    Traceback (most recent call last):
[worker-0]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
[worker-0]:        self.run()
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755, in _run_with_setenv
[worker-0]:        return self._actual_run()
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in _run_with_absl
[worker-0]:        app.run(lambda _: self._run_impl())
[worker-2]:    E0603 06:29:01.663196826 1541255 server_chttp2.cc:40]        {"created":"@1685773741.663074248","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":"@1685773741.663069482","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":"@1685773741.663039594","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":"@1685773741.663023893","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":"@1685773741.663068502","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":"@1685773741.663061137","description":"Address already in use","errno":98,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":189,"os_error":"Address already in use","syscall":"bind"}]}]}]}
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 312, in run
[worker-2]:    2023-06-03 06:29:01.663331: E tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:608] UNKNOWN: Could not start gRPC server
[worker-0]:        _run_main(main, args)
[worker-2]:    2023-06-03 06:29:01.663620: E tensorflow/core/common_runtime/eager/context_distributed_manager.cc:699] Could not start gRPC server
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 258, in _run_main
[worker-0]:        sys.exit(main(argv))
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in <lambda>
[worker-0]:        app.run(lambda _: self._run_impl())
[worker-0]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
[worker-0]:        self._target(*self._args, **self._kwargs)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 866, in __call__
[worker-0]:        six.reraise(*info.exc_info)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/six_archive/six.py", line 719, in reraise
[worker-0]:        raise value
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained
[worker-0]:        return_value = fn(*args, **kwargs)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 134, in worker_fn
[worker-0]:        strategy = collective_all_reduce_strategy.CollectiveAllReduceStrategy()
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 186, in __init__
[worker-0]:        CollectiveAllReduceExtended(
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 339, in __init__
[worker-0]:        self._initialize_strategy(self._cluster_resolver, devices=devices)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 358, in _initialize_strategy
[worker-0]:        self._initialize_multi_worker(cluster_resolver)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 530, in _initialize_multi_worker
[worker-0]:        context.context().ensure_initialized()
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/context.py", line 610, in ensure_initialized
[worker-0]:        pywrap_tfe.TFE_EnableCollectiveOps(context_handle, server_def_str)
[worker-0]:    tensorflow.python.framework.errors_impl.UnknownError: Could not start gRPC server
[worker-3]:    E0603 06:29:01.686218970 1541262 server_chttp2.cc:40]        {"created":"@1685773741.686077120","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":"@1685773741.686072075","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":"@1685773741.686042497","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":"@1685773741.686027030","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":"@1685773741.686071035","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":"@1685773741.686064059","description":"Address already in use","errno":98,"file":"external/com_github_grpc_grpc/src/core/lib/iomgr/tcp_server_utils_posix_common.cc","file_line":189,"os_error":"Address already in use","syscall":"bind"}]}]}]}
[worker-3]:    2023-06-03 06:29:01.686360: E tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:608] UNKNOWN: Could not start gRPC server
[worker-3]:    2023-06-03 06:29:01.686689: E tensorflow/core/common_runtime/eager/context_distributed_manager.cc:699] Could not start gRPC server
[worker-3]:    Process _Process-33:
[worker-2]:    Process _Process-32:
[worker-3]:    Traceback (most recent call last):
[worker-3]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
[worker-3]:        self.run()
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755, in _run_with_setenv
[worker-3]:        return self._actual_run()
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in _run_with_absl
[worker-2]:    Traceback (most recent call last):
[worker-3]:        app.run(lambda _: self._run_impl())
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 312, in run
[worker-3]:        _run_main(main, args)
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 258, in _run_main
[worker-3]:        sys.exit(main(argv))
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in <lambda>
[worker-2]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
[worker-3]:        app.run(lambda _: self._run_impl())
[worker-3]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
[worker-2]:        self.run()
[worker-3]:        self._target(*self._args, **self._kwargs)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755, in _run_with_setenv
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 866, in __call__
[worker-2]:        return self._actual_run()
[worker-3]:        six.reraise(*info.exc_info)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in _run_with_absl
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/six_archive/six.py", line 719, in reraise
[worker-2]:        app.run(lambda _: self._run_impl())
[worker-3]:        raise value
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 312, in run
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained
[worker-2]:        _run_main(main, args)
[worker-3]:        return_value = fn(*args, **kwargs)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 258, in _run_main
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 134, in worker_fn
[worker-2]:        sys.exit(main(argv))
[worker-3]:        strategy = collective_all_reduce_strategy.CollectiveAllReduceStrategy()
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in <lambda>
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 186, in __init__
[worker-2]:        app.run(lambda _: self._run_impl())
[worker-3]:        CollectiveAllReduceExtended(
[worker-2]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 339, in __init__
[worker-2]:        self._target(*self._args, **self._kwargs)
[worker-3]:        self._initialize_strategy(self._cluster_resolver, devices=devices)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 866, in __call__
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 358, in _initialize_strategy
[worker-2]:        six.reraise(*info.exc_info)
[worker-3]:        self._initialize_multi_worker(cluster_resolver)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/six_archive/six.py", line 719, in reraise
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 530, in _initialize_multi_worker
[worker-2]:        raise value
[worker-3]:        context.context().ensure_initialized()
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/context.py", line 610, in ensure_initialized
[worker-2]:        return_value = fn(*args, **kwargs)
[worker-3]:        pywrap_tfe.TFE_EnableCollectiveOps(context_handle, server_def_str)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 134, in worker_fn
[worker-3]:    tensorflow.python.framework.errors_impl.UnknownError: Could not start gRPC server
[worker-2]:        strategy = collective_all_reduce_strategy.CollectiveAllReduceStrategy()
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 186, in __init__
[worker-2]:        CollectiveAllReduceExtended(
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 339, in __init__
[worker-2]:        self._initialize_strategy(self._cluster_resolver, devices=devices)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 358, in _initialize_strategy
[worker-2]:        self._initialize_multi_worker(cluster_resolver)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/collective_all_reduce_strategy.py", line 530, in _initialize_multi_worker
[worker-2]:        context.context().ensure_initialized()
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/eager/context.py", line 610, in ensure_initialized
[worker-2]:        pywrap_tfe.TFE_EnableCollectiveOps(context_handle, server_def_str)
[worker-2]:    tensorflow.python.framework.errors_impl.UnknownError: Could not start gRPC server
[worker-1]:    2023-06-03 06:29:01.849780: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:44785
[worker-0]:    2023-06-03 06:29:01.883712: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 11972766891241524203
[worker-1]:    2023-06-03 06:29:01.883947: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-2]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    I0603 06:29:01.886620 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-1]:    I0603 06:29:01.886408 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-2]:    I0603 06:29:01.886617 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-0]:    I0603 06:29:01.886658 281473589146496 collective_all_reduce_strategy.py:531] 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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-2]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-3]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-2]:    I0603 06:29:01.949733 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    INFO:tensorflow:Check health not enabled.
[worker-2]:    I0603 06:29:01.950179 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-3]:    I0603 06:29:01.949732 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-2]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41357', 'localhost:44785', 'localhost:40583', 'localhost:40303']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    INFO:tensorflow:Check health not enabled.
[worker-2]:    I0603 06:29:01.950356 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41357', 'localhost:44785', 'localhost:40583', 'localhost:40303']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    I0603 06:29:01.950181 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-3]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41357', 'localhost:44785', 'localhost:40583', 'localhost:40303']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    I0603 06:29:01.950357 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41357', 'localhost:44785', 'localhost:40583', 'localhost:40303']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    I0603 06:29:01.952050 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    INFO:tensorflow:Check health not enabled.
[worker-0]:    I0603 06:29:01.952682 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-0]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41357', 'localhost:44785', 'localhost:40583', 'localhost:40303']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    I0603 06:29:01.952879 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41357', 'localhost:44785', 'localhost:40583', 'localhost:40303']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    I0603 06:29:01.958039 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    INFO:tensorflow:Check health not enabled.
[worker-1]:    I0603 06:29:01.958483 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-1]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41357', 'localhost:44785', 'localhost:40583', 'localhost:40303']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    I0603 06:29:01.958667 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:41357', 'localhost:44785', 'localhost:40583', 'localhost:40303']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-2]:    I0603 06:29:02.042018 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-2]:    INFO:tensorflow:Start polling for termination signal.
[worker-2]:    I0603 06:29:02.043390 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-3]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:    I0603 06:29:02.052209 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-1]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-1]:    I0603 06:29:02.052954 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:    INFO:tensorflow:Start polling for termination signal.
[worker-3]:    I0603 06:29:02.053421 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-1]:    INFO:tensorflow:Start polling for termination signal.
[worker-1]:    I0603 06:29:02.054102 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-1]:    Exception in thread WorkerTerminationSignalWatcher-1:
[worker-2]:    Exception in thread WorkerTerminationSignalWatcher-2:
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-1]:    Traceback (most recent call last):
[worker-2]:    I0603 06:29:02.056373 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-2]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-2]:    Instructions for updating:
[worker-1]:    I0603 06:29:02.054565 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    W0603 06:29:02.056876 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    INFO:tensorflow:Start training at 0
[worker-2]:    I0603 06:29:02.057057 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    Traceback (most recent call last):
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-2]:        self.run()
[worker-1]:    W0603 06:29:02.057217 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-1]:    INFO:tensorflow:Start training at 0
[worker-2]:        self._target(*self._args, **self._kwargs)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-1]:    I0603 06:29:02.057423 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-1]:        self.run()
[worker-3]:    Exception in thread WorkerTerminationSignalWatcher-3:
[worker-2]:        if self._termination_watcher_fn():
[worker-3]:    Traceback (most recent call last):
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-3]:        self.run()
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-3]:        self._target(*self._args, **self._kwargs)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-2]:        elif frequent_send and not maintenance_event.is_set():
[worker-2]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-3]:        if self._termination_watcher_fn():
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-3]:        elif frequent_send and not maintenance_event.is_set():
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-3]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-1]:        self._target(*self._args, **self._kwargs)
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-3]:    I0603 06:29:02.068344 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-2]:    INFO:tensorflow:['workertemp_2', 'workertemp_3', 'workertemp_1']
[worker-3]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    I0603 06:29:02.073431 281473589146496 gce_failure_handler_test.py:203] ['workertemp_2', 'workertemp_3', 'workertemp_1']
[worker-3]:    Instructions for updating:
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    W0603 06:29:02.068715 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:        if self._termination_watcher_fn():
[worker-3]:    INFO:tensorflow:Start training at 0
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-1]:        elif frequent_send and not maintenance_event.is_set():
[worker-3]:    I0603 06:29:02.068893 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-1]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-3]:    INFO:tensorflow:['workertemp_2', 'workertemp_3', 'workertemp_1']
[worker-1]:    INFO:tensorflow:['workertemp_2', 'workertemp_3', 'workertemp_1']
[worker-3]:    I0603 06:29:02.081315 281473589146496 gce_failure_handler_test.py:203] ['workertemp_2', 'workertemp_3', 'workertemp_1']
[worker-1]:    I0603 06:29:02.072450 281473589146496 gce_failure_handler_test.py:203] ['workertemp_2', 'workertemp_3', 'workertemp_1']
[worker-0]:    I0603 06:29:02.066790 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-0]:    INFO:tensorflow:Start polling for termination signal.
[worker-0]:    I0603 06:29:02.068203 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:    Exception in thread WorkerTerminationSignalWatcher-0:
[worker-0]:    Traceback (most recent call last):
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-0]:        self.run()
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-0]:        self._target(*self._args, **self._kwargs)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-0]:        if self._termination_watcher_fn():
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-0]:        elif frequent_send and not maintenance_event.is_set():
[worker-0]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-0]:    I0603 06:29:02.088089 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-0]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    W0603 06:29:02.088622 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    INFO:tensorflow:Start training at 0
[worker-0]:    I0603 06:29:02.088824 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-0]:    INFO:tensorflow:['workertemp_2', 'workertemp_3', 'workertemp_1']
[worker-0]:    I0603 06:29:02.108812 281473589146496 gce_failure_handler_test.py:203] ['workertemp_2', 'workertemp_3', 'workertemp_1']
[worker-1]:    Process _Process-31:
[worker-1]:    Traceback (most recent call last):
[worker-1]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
[worker-1]:        self.run()
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755, in _run_with_setenv
[worker-1]:        return self._actual_run()
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in _run_with_absl
[worker-1]:        app.run(lambda _: self._run_impl())
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 312, in run
[worker-1]:        _run_main(main, args)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 258, in _run_main
[worker-1]:        sys.exit(main(argv))
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in <lambda>
[worker-1]:        app.run(lambda _: self._run_impl())
[worker-1]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
[worker-1]:        self._target(*self._args, **self._kwargs)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 866, in __call__
[worker-1]:        six.reraise(*info.exc_info)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/six_archive/six.py", line 719, in reraise
[worker-1]:        raise value
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained
[worker-1]:        return_value = fn(*args, **kwargs)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 211, in worker_fn
[worker-1]:        self.assertNotEmpty(checkpoint_index)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 972, in assertNotEmpty
[worker-1]:        self.fail('{!r} has length of 0.'.format(container), msg)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 1814, in fail
[worker-1]:        return super(TestCase, self).fail(self._formatMessage(prefix, msg))
[worker-1]:      File "/usr/lib/python3.10/unittest/case.py", line 675, in fail
[worker-1]:        raise self.failureException(msg)
[worker-1]:    AssertionError: [] has length of 0.
[worker-2]:    Process _Process-28:
[worker-3]:    Process _Process-29:
[worker-2]:    Traceback (most recent call last):
[worker-3]:    Traceback (most recent call last):
[worker-2]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
[worker-2]:        self.run()
[worker-3]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755, in _run_with_setenv
[worker-3]:        self.run()
[worker-2]:        return self._actual_run()
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755, in _run_with_setenv
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in _run_with_absl
[worker-3]:        return self._actual_run()
[worker-2]:        app.run(lambda _: self._run_impl())
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in _run_with_absl
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 312, in run
[worker-3]:        app.run(lambda _: self._run_impl())
[worker-2]:        _run_main(main, args)
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 312, in run
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 258, in _run_main
[worker-3]:        _run_main(main, args)
[worker-2]:        sys.exit(main(argv))
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 258, in _run_main
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in <lambda>
[worker-3]:        sys.exit(main(argv))
[worker-2]:        app.run(lambda _: self._run_impl())
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in <lambda>
[worker-2]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
[worker-3]:        app.run(lambda _: self._run_impl())
[worker-2]:        self._target(*self._args, **self._kwargs)
[worker-3]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 866, in __call__
[worker-3]:        self._target(*self._args, **self._kwargs)
[worker-2]:        six.reraise(*info.exc_info)
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 866, in __call__
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/six_archive/six.py", line 719, in reraise
[worker-3]:        six.reraise(*info.exc_info)
[worker-2]:        raise value
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/six_archive/six.py", line 719, in reraise
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained
[worker-3]:        raise value
[worker-2]:        return_value = fn(*args, **kwargs)
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 211, in worker_fn
[worker-3]:        return_value = fn(*args, **kwargs)
[worker-2]:        self.assertNotEmpty(checkpoint_index)
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 211, in worker_fn
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 972, in assertNotEmpty
[worker-3]:        self.assertNotEmpty(checkpoint_index)
[worker-2]:        self.fail('{!r} has length of 0.'.format(container), msg)
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 972, in assertNotEmpty
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 1814, in fail
[worker-3]:        self.fail('{!r} has length of 0.'.format(container), msg)
[worker-2]:        return super(TestCase, self).fail(self._formatMessage(prefix, msg))
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 1814, in fail
[worker-2]:      File "/usr/lib/python3.10/unittest/case.py", line 675, in fail
[worker-3]:        return super(TestCase, self).fail(self._formatMessage(prefix, msg))
[worker-2]:        raise self.failureException(msg)
[worker-3]:      File "/usr/lib/python3.10/unittest/case.py", line 675, in fail
[worker-2]:    AssertionError: [] has length of 0.
[worker-3]:        raise self.failureException(msg)
[worker-3]:    AssertionError: [] has length of 0.
[worker-0]:    Process _Process-26:
[worker-0]:    Traceback (most recent call last):
[worker-0]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
[worker-0]:        self.run()
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 755, in _run_with_setenv
[worker-0]:        return self._actual_run()
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in _run_with_absl
[worker-0]:        app.run(lambda _: self._run_impl())
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 312, in run
[worker-0]:        _run_main(main, args)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/app.py", line 258, in _run_main
[worker-0]:        sys.exit(main(argv))
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_lib.py", line 54, in <lambda>
[worker-0]:        app.run(lambda _: self._run_impl())
[worker-0]:      File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
[worker-0]:        self._target(*self._args, **self._kwargs)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 866, in __call__
[worker-0]:        six.reraise(*info.exc_info)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/six_archive/six.py", line 719, in reraise
[worker-0]:        raise value
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained
[worker-0]:        return_value = fn(*args, **kwargs)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 211, in worker_fn
[worker-0]:        self.assertNotEmpty(checkpoint_index)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 972, in assertNotEmpty
[worker-0]:        self.fail('{!r} has length of 0.'.format(container), msg)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 1814, in fail
[worker-0]:        return super(TestCase, self).fail(self._formatMessage(prefix, msg))
[worker-0]:      File "/usr/lib/python3.10/unittest/case.py", line 675, in fail
[worker-0]:        raise self.failureException(msg)
[worker-0]:    AssertionError: [] has length of 0.
I0603 06:29:02.466669 281473810723712 multi_process_runner.py:646] worker-0 exit code: 1
I0603 06:29:02.466924 281473810723712 multi_process_runner.py:646] worker-1 exit code: 1
I0603 06:29:02.467066 281473810723712 multi_process_runner.py:646] worker-2 exit code: 1
I0603 06:29:02.467196 281473810723712 multi_process_runner.py:646] worker-3 exit code: 1
INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker): 31.63s
I0603 06:29:02.572385 281473810723712 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker): 31.63s
[  FAILED  ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker
[ RUN      ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker
INFO:tensorflow:Using local port 32901
I0603 06:29:02.577497 281473810723712 test_util.py:3796] Using local port 32901
INFO:tensorflow:Using local port 39907
I0603 06:29:02.577928 281473810723712 test_util.py:3796] Using local port 39907
INFO:tensorflow:Using local port 46741
I0603 06:29:02.578272 281473810723712 test_util.py:3796] Using local port 46741
INFO:tensorflow:Using local port 34933
I0603 06:29:02.578600 281473810723712 test_util.py:3796] Using local port 34933
INFO:tensorflow:Cluster starting.
I0603 06:29:02.644220 281473810723712 gce_failure_handler_test.py:405] Cluster starting.
[worker-0]:    I0603 06:29:02.701290 281473589146496 multi_process_runner.py:840] Subprocess with PID 1542944 (worker, 0) is now being started.
[worker-1]:    I0603 06:29:02.702210 281473589146496 multi_process_runner.py:840] Subprocess with PID 1542948 (worker, 1) is now being started.
[worker-0]:    I0603 06:29:02.701713 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:32901", "localhost:39907", "localhost:46741", "localhost:34933"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}'
[worker-1]:    I0603 06:29:02.702563 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:32901", "localhost:39907", "localhost:46741", "localhost:34933"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}'
[worker-1]:    2023-06-03 06:29:02.763560: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:39907
[worker-2]:    I0603 06:29:02.828101 281473589146496 multi_process_runner.py:840] Subprocess with PID 1542953 (worker, 2) is now being started.
[worker-0]:    2023-06-03 06:29:02.846700: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:32901
[worker-3]:    I0603 06:29:02.847485 281473589146496 multi_process_runner.py:840] Subprocess with PID 1542960 (worker, 3) is now being started.
[worker-2]:    I0603 06:29:02.828508 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:32901", "localhost:39907", "localhost:46741", "localhost:34933"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}'
[worker-3]:    I0603 06:29:02.847874 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:32901", "localhost:39907", "localhost:46741", "localhost:34933"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}'
[worker-0]:    2023-06-03 06:29:02.871792: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 8197643400877204426
[worker-1]:    2023-06-03 06:29:02.872663: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:29:02.877431: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 16757630802209729221
[worker-0]:    2023-06-03 06:29:02.889217: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-3]:    2023-06-03 06:29:02.964862: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:34933
[worker-0]:    2023-06-03 06:29:02.986176: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 15674954830784405816
[worker-3]:    2023-06-03 06:29:02.986678: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-2]:    2023-06-03 06:29:03.036731: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:46741
[worker-0]:    2023-06-03 06:29:03.056805: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 15129645293963323264
[worker-2]:    2023-06-03 06:29:03.061847: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-1]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    I0603 06:29:03.068796 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-3]:    I0603 06:29:03.069962 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-0]:    I0603 06:29:03.072907 281473589146496 collective_all_reduce_strategy.py:531] 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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    I0603 06:29:03.141680 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    INFO:tensorflow:Check health not enabled.
[worker-1]:    I0603 06:29:03.142180 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-1]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    I0603 06:29:03.142364 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-2]:    I0603 06:29:03.176508 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    I0603 06:29:03.198093 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    INFO:tensorflow:Check health not enabled.
[worker-3]:    I0603 06:29:03.199607 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-3]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    I0603 06:29:03.200340 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    I0603 06:29:03.220872 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    INFO:tensorflow:Check health not enabled.
[worker-0]:    I0603 06:29:03.221370 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-0]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    I0603 06:29:03.221549 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    I0603 06:29:03.253335 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    INFO:tensorflow:Check health not enabled.
[worker-2]:    I0603 06:29:03.253828 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-2]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    I0603 06:29:03.254021 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-0]:    I0603 06:29:03.312034 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-2]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-1]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-3]:    I0603 06:29:03.314480 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-1]:    I0603 06:29:03.314504 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-1]:    INFO:tensorflow:Start polling for termination signal.
[worker-3]:    INFO:tensorflow:Start polling for termination signal.
[worker-1]:    I0603 06:29:03.315295 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-3]:    I0603 06:29:03.315409 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-1]:    Exception in thread WorkerTerminationSignalWatcher-1:
[worker-3]:    Exception in thread WorkerTerminationSignalWatcher-3:
[worker-1]:    Traceback (most recent call last):
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-3]:    Traceback (most recent call last):
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-1]:    I0603 06:29:03.315908 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-1]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    I0603 06:29:03.315844 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-3]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-3]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    W0603 06:29:03.316235 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    W0603 06:29:03.316317 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-3]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    INFO:tensorflow:Start training at 0
[worker-3]:    INFO:tensorflow:Start training at 0
[worker-1]:    I0603 06:29:03.316405 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-3]:    I0603 06:29:03.316498 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-1]:        self.run()
[worker-3]:        self.run()
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-1]:        self._target(*self._args, **self._kwargs)
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-3]:        self._target(*self._args, **self._kwargs)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-1]:        if self._termination_watcher_fn():
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-1]:        elif frequent_send and not maintenance_event.is_set():
[worker-3]:        if self._termination_watcher_fn():
[worker-1]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-3]:        elif frequent_send and not maintenance_event.is_set():
[worker-3]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-0]:    INFO:tensorflow:Start polling for termination signal.
[worker-0]:    I0603 06:29:03.326802 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:    Exception in thread WorkerTerminationSignalWatcher-0:
[worker-0]:    Traceback (most recent call last):
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-0]:        self.run()
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-0]:        self._target(*self._args, **self._kwargs)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-0]:        if self._termination_watcher_fn():
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-0]:        elif frequent_send and not maintenance_event.is_set():
[worker-0]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-0]:    I0603 06:29:03.347898 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-0]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    W0603 06:29:03.348274 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    INFO:tensorflow:Start training at 0
[worker-0]:    I0603 06:29:03.348449 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-2]:    I0603 06:29:03.314486 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-2]:    INFO:tensorflow:Start polling for termination signal.
[worker-2]:    I0603 06:29:03.376791 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-2]:    Exception in thread WorkerTerminationSignalWatcher-2:
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-2]:    Traceback (most recent call last):
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-2]:    I0603 06:29:03.377363 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-2]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    W0603 06:29:03.377825 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    INFO:tensorflow:Start training at 0
[worker-2]:    I0603 06:29:03.378018 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-2]:        self.run()
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-2]:        self._target(*self._args, **self._kwargs)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-2]:        if self._termination_watcher_fn():
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-2]:        elif frequent_send and not maintenance_event.is_set():
[worker-2]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:03.462765 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:03.474783 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:03.453618 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:03.494719 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:03.614550 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:03.619751 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:03.620098 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:03.620122 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:03.714141 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:03.712234 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:03.715986 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:03.750553 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:03.812634 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:03.812777 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:03.813108 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:03.840665 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:03.900273 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:03.899831 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:03.900269 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:03.900384 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa06b3910> 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.
[worker-0]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-3]:    W0603 06:29:03.944613 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa06b3910> 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.
[worker-0]:    W0603 06:29:03.944617 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-1]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986b3910> 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.
[worker-1]:    W0603 06:29:03.944827 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986b3910> 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.
[worker-2]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-2]:    W0603 06:29:03.949192 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:03.953059 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:03.952944 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:03.952991 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:03.970463 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00304160> 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.
[worker-2]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00304160> 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.
[worker-0]:    W0603 06:29:04.018419 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00304160> 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.
[worker-2]:    W0603 06:29:04.018684 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00304160> 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.
[worker-2]:    INFO:tensorflow:epoch 0 finished
[worker-0]:    INFO:tensorflow:epoch 0 finished
[worker-2]:    I0603 06:29:04.019035 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-0]:    I0603 06:29:04.018784 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-3]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa05b4160> 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.
[worker-1]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b4160> 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.
[worker-3]:    W0603 06:29:04.018152 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffffa05b4160> 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.
[worker-1]:    W0603 06:29:04.018581 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b4160> 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.
[worker-3]:    INFO:tensorflow:epoch 0 finished
[worker-1]:    INFO:tensorflow:epoch 0 finished
[worker-3]:    I0603 06:29:04.018561 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-1]:    I0603 06:29:04.018951 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:04.027108 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:04.037150 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:04.040229 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:04.060277 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:04.128371 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:04.136787 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:04.144795 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:04.140716 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:04.199751 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:04.201461 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:04.201673 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:04.201802 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:04.258798 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:04.265832 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:04.267820 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:04.267757 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:04.321584 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:04.321577 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:04.323310 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:04.323324 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:04.378214 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:04.378214 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:04.378242 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:04.380151 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 1 finished
[worker-0]:    INFO:tensorflow:epoch 1 finished
[worker-1]:    INFO:tensorflow:epoch 1 finished
[worker-3]:    I0603 06:29:04.425708 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-0]:    I0603 06:29:04.425950 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-2]:    INFO:tensorflow:epoch 1 finished
[worker-1]:    I0603 06:29:04.426220 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-2]:    I0603 06:29:04.426431 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:04.433896 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:04.433894 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:04.435545 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:05.520808 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:05.570904 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:05.570903 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:05.570940 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:05.570965 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:05.619587 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:05.620790 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:05.620896 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:05.620950 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:05.671540 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:05.672607 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:05.672746 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:05.673403 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 4 finished
[worker-0]:    INFO:tensorflow:epoch 4 finished
[worker-2]:    INFO:tensorflow:epoch 4 finished
[worker-1]:    INFO:tensorflow:epoch 4 finished
[worker-3]:    I0603 06:29:05.716033 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-1]:    I0603 06:29:05.716362 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-3]:    INFO:tensorflow:Training finished.
[worker-2]:    I0603 06:29:05.716317 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-0]:    I0603 06:29:05.716174 281473589146496 gce_failure_handler_test.py:192] epoch 4 finished
[worker-1]:    INFO:tensorflow:Training finished.
[worker-2]:    INFO:tensorflow:Training finished.
[worker-3]:    I0603 06:29:05.716472 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-0]:    INFO:tensorflow:Training finished.
[worker-1]:    I0603 06:29:05.716750 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-2]:    I0603 06:29:05.716608 281473589146496 gce_failure_handler_test.py:244] Training finished.
[worker-0]:    I0603 06:29:05.716503 281473589146496 gce_failure_handler_test.py:244] Training finished.
INFO:tensorflow:restarting workers
I0603 06:29:07.718035 281473810723712 gce_failure_handler_test.py:411] restarting workers
INFO:tensorflow:workers restarted
I0603 06:29:07.840561 281473810723712 gce_failure_handler_test.py:415] workers restarted
[worker-0]:    I0603 06:29:07.844660 281473589146496 multi_process_runner.py:840] Subprocess with PID 1548459 (worker, 0) is now being started.
[worker-0]:    I0603 06:29:07.845036 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:32901", "localhost:39907", "localhost:46741", "localhost:34933"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}'
[worker-2]:    I0603 06:29:08.004879 281473589146496 multi_process_runner.py:840] Subprocess with PID 1548539 (worker, 2) is now being started.
[worker-3]:    I0603 06:29:08.005496 281473589146496 multi_process_runner.py:840] Subprocess with PID 1548569 (worker, 3) is now being started.
[worker-1]:    I0603 06:29:08.004449 281473589146496 multi_process_runner.py:840] Subprocess with PID 1548534 (worker, 1) is now being started.
[worker-1]:    I0603 06:29:08.004834 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:32901", "localhost:39907", "localhost:46741", "localhost:34933"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}'
[worker-2]:    I0603 06:29:08.005205 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:32901", "localhost:39907", "localhost:46741", "localhost:34933"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}'
[worker-3]:    I0603 06:29:08.005819 281473589146496 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:32901", "localhost:39907", "localhost:46741", "localhost:34933"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}'
[worker-1]:    2023-06-03 06:29:08.081305: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:39907
[worker-2]:    2023-06-03 06:29:08.152884: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:46741
[worker-3]:    2023-06-03 06:29:08.206062: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:34933
[worker-0]:    2023-06-03 06:29:08.227572: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:32901
[worker-0]:    2023-06-03 06:29:08.296637: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 14403431660215920428
[worker-1]:    2023-06-03 06:29:08.297448: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:29:08.359453: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 6977779424289286398
[worker-2]:    2023-06-03 06:29:08.360269: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:29:08.365783: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 5200845529356839486
[worker-3]:    2023-06-03 06:29:08.376147: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-0]:    2023-06-03 06:29:08.374715: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 5389431012052518947
[worker-0]:    2023-06-03 06:29:08.375022: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:299] Coordination agent has successfully connected.
[worker-2]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-2]:    I0603 06:29:08.380703 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-3]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-3]:    I0603 06:29:08.385196 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1']
[worker-1]:    INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-1]:    I0603 06:29:08.385316 281473589146496 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-0]:    I0603 06:29:08.386327 281473589146496 collective_all_reduce_strategy.py:531] 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', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1']
[worker-0]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    I0603 06:29:08.450977 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',)
[worker-0]:    INFO:tensorflow:Check health not enabled.
[worker-0]:    I0603 06:29:08.451421 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-0]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    I0603 06:29:08.451591 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    I0603 06:29:08.466140 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',)
[worker-1]:    INFO:tensorflow:Check health not enabled.
[worker-1]:    I0603 06:29:08.466581 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-1]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-1]:    I0603 06:29:08.466750 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    I0603 06:29:08.598000 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',)
[worker-2]:    INFO:tensorflow:Check health not enabled.
[worker-2]:    I0603 06:29:08.598487 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-2]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-2]:    I0603 06:29:08.598658 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    I0603 06:29:08.627862 281473589146496 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',)
[worker-3]:    INFO:tensorflow:Check health not enabled.
[worker-3]:    I0603 06:29:08.628457 281473589146496 collective_all_reduce_strategy.py:574] Check health not enabled.
[worker-3]:    INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-3]:    I0603 06:29:08.628644 281473589146496 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:32901', 'localhost:39907', 'localhost:46741', 'localhost:34933']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO
[worker-0]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-0]:    I0603 06:29:08.717083 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-1]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-1]:    I0603 06:29:08.726920 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-1]:    INFO:tensorflow:Start polling for termination signal.
[worker-1]:    I0603 06:29:08.732075 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-1]:    Exception in thread WorkerTerminationSignalWatcher-1:
[worker-1]:    Traceback (most recent call last):
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-1]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-1]:    I0603 06:29:08.732787 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-1]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    W0603 06:29:08.733075 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-1]:    Instructions for updating:
[worker-1]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-1]:    INFO:tensorflow:Start training at 0
[worker-1]:    I0603 06:29:08.733235 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-1]:        self.run()
[worker-1]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-1]:        self._target(*self._args, **self._kwargs)
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-1]:        if self._termination_watcher_fn():
[worker-1]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-1]:        elif frequent_send and not maintenance_event.is_set():
[worker-1]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-0]:    INFO:tensorflow:Start polling for termination signal.
[worker-0]:    I0603 06:29:08.742630 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-0]:    Exception in thread WorkerTerminationSignalWatcher-0:
[worker-0]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-0]:    Traceback (most recent call last):
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-0]:    I0603 06:29:08.743213 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-0]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    W0603 06:29:08.743629 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-0]:    Instructions for updating:
[worker-0]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-0]:    INFO:tensorflow:Start training at 0
[worker-0]:    I0603 06:29:08.743855 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-0]:        self.run()
[worker-0]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-0]:        self._target(*self._args, **self._kwargs)
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-0]:        if self._termination_watcher_fn():
[worker-0]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-0]:        elif frequent_send and not maintenance_event.is_set():
[worker-0]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-3]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-2]:    INFO:tensorflow:Start watcher for peer's signal.
[worker-2]:    I0603 06:29:08.760493 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-3]:    I0603 06:29:08.753878 281473589146496 failure_handling.py:634] Start watcher for peer's signal.
[worker-2]:    INFO:tensorflow:Start polling for termination signal.
[worker-3]:    INFO:tensorflow:Start polling for termination signal.
[worker-3]:    I0603 06:29:08.776835 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-3]:    Exception in thread WorkerTerminationSignalWatcher-3:
[worker-3]:    Traceback (most recent call last):
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-3]:        self.run()
[worker-3]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-3]:        self._target(*self._args, **self._kwargs)
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-3]:        if self._termination_watcher_fn():
[worker-3]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-3]:        elif frequent_send and not maintenance_event.is_set():
[worker-3]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-3]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-3]:    I0603 06:29:08.784575 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-3]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    W0603 06:29:08.785129 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-3]:    Instructions for updating:
[worker-3]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-3]:    INFO:tensorflow:Start training at 0
[worker-3]:    I0603 06:29:08.785314 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-2]:    I0603 06:29:08.776836 281473589146496 failure_handling.py:683] Start polling for termination signal.
[worker-2]:    Exception in thread WorkerTerminationSignalWatcher-2:
[worker-2]:    Traceback (most recent call last):
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
[worker-2]:    INFO:tensorflow:PreemptionCheckpointHandler initialized or restored.
[worker-2]:    I0603 06:29:08.777920 281473589146496 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored.
[worker-2]:    WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    W0603 06:29:08.778318 281473589146496 deprecation.py:364] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py:195: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version.
[worker-2]:    Instructions for updating:
[worker-2]:    Track steps using a tf.Variable saved in checkpoint instead.
[worker-2]:    INFO:tensorflow:Start training at 0
[worker-2]:    I0603 06:29:08.778496 281473589146496 gce_failure_handler_test.py:194] Start training at 0
[worker-2]:        self.run()
[worker-2]:      File "/usr/lib/python3.10/threading.py", line 953, in run
[worker-2]:        self._target(*self._args, **self._kwargs)
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handling.py", line 692, in _poll_termination_signal
[worker-2]:        if self._termination_watcher_fn():
[worker-2]:      File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce
[worker-2]:        elif frequent_send and not maintenance_event.is_set():
[worker-2]:    AttributeError: 'str' object has no attribute 'is_set'
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:08.838652 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:08.828945 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:08.914149 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:09.025556 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:09.132779 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:09.135142 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:09.154531 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:09.421093 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:09.529953 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:09.531357 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:09.531333 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:09.552786 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:09.679093 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:09.700720 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:09.696392 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:09.706231 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:09.840859 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:09.862025 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:09.851260 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:09.901320 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-0]:    W0603 06:29:10.091342 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-2]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-3]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986af910> 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.
[worker-3]:    W0603 06:29:10.098052 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff986af910> 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.
[worker-1]:    WARNING:tensorflow:5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-2]:    W0603 06:29:10.092887 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-1]:    W0603 06:29:10.098030 281473589146496 polymorphic_function.py:154] 5 out of the last 5 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff906b3910> 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.
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:10.108222 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:10.101073 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:10.108164 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:10.132420 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00308160> 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.
[worker-2]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00308160> 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.
[worker-0]:    W0603 06:29:10.354831 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00308160> 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.
[worker-2]:    W0603 06:29:10.355101 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00308160> 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.
[worker-0]:    INFO:tensorflow:epoch 0 finished
[worker-2]:    INFO:tensorflow:epoch 0 finished
[worker-0]:    I0603 06:29:10.355330 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-2]:    I0603 06:29:10.355582 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-1]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00308160> 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.
[worker-1]:    W0603 06:29:10.355197 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff00308160> 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.
[worker-1]:    INFO:tensorflow:epoch 0 finished
[worker-1]:    I0603 06:29:10.355683 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:10.369033 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    WARNING:tensorflow:6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b8160> 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.
[worker-1]:    I0603 06:29:10.365154 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    W0603 06:29:10.365318 281473589146496 polymorphic_function.py:154] 6 out of the last 6 calls to <function call_for_each_replica.<locals>.wrapped_fn at 0xffff985b8160> 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.
[worker-0]:    I0603 06:29:10.364966 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 0 finished
[worker-3]:    I0603 06:29:10.365799 281473589146496 gce_failure_handler_test.py:192] epoch 0 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:10.382984 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:10.444636 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:10.445541 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:10.461611 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:10.481240 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:10.568993 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:10.601116 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:10.611349 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:10.546029 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:10.757733 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:10.749320 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:10.766349 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:10.747123 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:10.837658 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:10.837245 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:10.852205 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:10.852558 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:10.954028 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:10.952482 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:10.988774 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:10.990098 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 1 finished
[worker-3]:    I0603 06:29:11.059431 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-0]:    INFO:tensorflow:epoch 1 finished
[worker-0]:    I0603 06:29:11.060655 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:11.071679 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:epoch 1 finished
[worker-1]:    I0603 06:29:11.077446 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:11.079002 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:epoch 1 finished
[worker-2]:    I0603 06:29:11.094626 281473589146496 gce_failure_handler_test.py:192] epoch 1 finished
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:11.106414 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:11.103777 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:11.216710 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:11.211168 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:11.223351 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:11.248443 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:11.381685 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:11.389479 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:11.388554 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:11.408645 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:11.471603 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:11.473380 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:11.481450 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:11.475761 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    I0603 06:29:11.584615 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-2]:    I0603 06:29:11.585249 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-1]:    I0603 06:29:11.586245 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-0]:    I0603 06:29:11.598887 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-1]:    I0603 06:29:13.625391 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-2]:    I0603 06:29:13.625651 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
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[worker-0]:    I0603 06:29:13.640382 281473589146496 cross_device_ops.py:1152] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1
[worker-3]:    INFO:tensorflow:epoch 4 finished
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I0603 06:29:14.784498 281473810723712 multi_process_runner.py:646] worker-0 exit code: 0
I0603 06:29:14.784767 281473810723712 multi_process_runner.py:646] worker-1 exit code: 0
I0603 06:29:14.784905 281473810723712 multi_process_runner.py:646] worker-2 exit code: 0
I0603 06:29:14.785032 281473810723712 multi_process_runner.py:646] worker-3 exit code: 0
I0603 06:29:14.787887 281473810723712 multi_process_runner.py:662] Joining log reading threads.
I0603 06:29:14.788136 281473810723712 multi_process_runner.py:665] Joined log reading threads.
INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker): 12.45s
I0603 06:29:15.023234 281473810723712 test_util.py:2464] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker): 12.45s
[       OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_checkpoint_strategyoption_MWMSmultiworker
======================================================================
FAIL: test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker (__main__.GceFailureHandlingTest)
GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker
test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_checkpoint_strategyoption_MWMSmultiworker(api_wrapping_train=True, grace_period=0, input_arg='checkpoint', strategy_option='MWMS_multi_worker')
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.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/failure_handling/gce_failure_handler_test.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/failure_handling/gce_failure_handler_test.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/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/combinations.py", line 559, in decorator
    test_method(self, **kwargs)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 417, in test_multiple_workers_preempted_consecutively
    mpr.join(timeout=250)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 649, in join
    self._reraise_if_subprocess_error(process_statuses)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 565, in _reraise_if_subprocess_error
    six.reraise(*process_status.exc_info)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/six_archive/six.py", line 719, in reraise
    raise value
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/multi_process_runner.py", line 1060, in _run_contained
    return_value = fn(*args, **kwargs)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.py", line 211, in worker_fn
    self.assertNotEmpty(checkpoint_index)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 972, in assertNotEmpty
    self.fail('{!r} has length of 0.'.format(container), msg)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/gce_failure_handler_test.runfiles/absl_py/absl/testing/absltest.py", line 1814, in fail
    return super(TestCase, self).fail(self._formatMessage(prefix, msg))
  File "/usr/lib/python3.10/unittest/case.py", line 675, in fail
    raise self.failureException(msg)
AssertionError: [] has length of 0.

----------------------------------------------------------------------
Ran 7 tests in 89.199s

FAILED (failures=1)
================================================================================
==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 1 of 8):
2023-06-03 06:31:50.946010: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Running tests under Python 3.10.11: /usr/local/bin/python3
[ RUN      ] DTensorDatasetTest.testForInIterationEager
I0603 06:31:56.182903 281473219523456 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:31:56.183140 281473219523456 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:31:56.183343 281473219523456 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:31:56.183919 281473219523456 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:31:56.184134 281473219523456 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
/usr/local/lib/python3.10/dist-packages/google/protobuf/message_factory.py:166: UserWarning: MessageFactory class is deprecated. Please use GetMessageClass() instead of MessageFactory.GetPrototype. MessageFactory class will be removed after 2024.
  warnings.warn('MessageFactory class is deprecated. Please use '
2023-06-03 06:31:56.679694: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:31:56.748112: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:31:56.806999: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:31:56.867753: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:31:58.591461: E tensorflow/dtensor/cc/dtensor_device.cc:2211] Encountered error while executing function: CopyToMesh__func_13547857954245000088_5950845106898307211_6858324592425701659_1 for mesh : |batch=4,height=2,width=2|0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15|0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15|/job:localhost/replica:0/task:0/device:CPU:0,/job:localhost/replica:0/task:0/device:CPU:1,/job:localhost/replica:0/task:0/device:CPU:2,/job:localhost/replica:0/task:0/device:CPU:3,/job:localhost/replica:0/task:0/device:CPU:4,/job:localhost/replica:0/task:0/device:CPU:5,/job:localhost/replica:0/task:0/device:CPU:6,/job:localhost/replica:0/task:0/device:CPU:7,/job:localhost/replica:0/task:0/device:CPU:8,/job:localhost/replica:0/task:0/device:CPU:9,/job:localhost/replica:0/task:0/device:CPU:10,/job:localhost/replica:0/task:0/device:CPU:11,/job:localhost/replica:0/task:0/device:CPU:12,/job:localhost/replica:0/task:0/device:CPU:13,/job:localhost/replica:0/task:0/device:CPU:14,/job:localhost/replica:0/task:0/device:CPU:15 / error : {{function_node IteratorGetNext__func_7180022922622666474_12989052755378955192_1628789561242421788_0}} End of sequence
	 [[{{node tf.StatefulPartitionedCall/eager_operation}}]]
	Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors.
2023-06-03 06:31:58.621229: E tensorflow/dtensor/cc/dtensor_device.cc:2245] Error executing CopyToMesh {{function_node IteratorGetNext__func_7180022922622666474_12989052755378955192_1628789561242421788_0}} End of sequence
	 [[{{node tf.StatefulPartitionedCall/eager_operation}}]]
	Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors.
INFO:tensorflow:time(__main__.DTensorDatasetTest.testForInIterationEager): 2.71s
I0603 06:31:58.886862 281473219523456 test_util.py:2464] time(__main__.DTensorDatasetTest.testForInIterationEager): 2.71s
[  FAILED  ] DTensorDatasetTest.testForInIterationEager
[ RUN      ] DTensorDatasetTest.testIterOnBatchedDatasetGraph
I0603 06:31:58.893327 281473219523456 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:31:58.893528 281473219523456 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:31:58.893694 281473219523456 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:31:58.894169 281473219523456 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:31:58.894318 281473219523456 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
2023-06-03 06:31:59.167636: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:31:59.236067: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:31:59.302528: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:31:59.369910: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:01.149153: I tensorflow/dtensor/cc/dtensor_device.cc:1574] DTensor cache key lookup missed for __inference_train_619. DTensor is (re-)computing its SPMD transformation.
2023-06-03 06:32:01.157010: I tensorflow/dtensor/cc/dtensor_device.cc:1643] DTensor cache key lookup missed for __inference_train_619. DTensor is (re-)computing its ExecutionFunctions.
INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 2.74s
I0603 06:32:01.631022 281473219523456 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 2.74s
[       OK ] DTensorDatasetTest.testIterOnBatchedDatasetGraph
[ RUN      ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)
I0603 06:32:01.632899 281473219523456 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:01.633107 281473219523456 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:32:01.633272 281473219523456 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:32:01.633781 281473219523456 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:32:01.633933 281473219523456 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
2023-06-03 06:32:01.957559: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)): 2.96s
I0603 06:32:04.589448 281473219523456 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)): 2.96s
[       OK ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)
[ RUN      ] DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)
I0603 06:32:04.590922 281473219523456 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:04.591087 281473219523456 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:32:04.591240 281473219523456 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:32:04.591686 281473219523456 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:32:04.591830 281473219523456 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
2023-06-03 06:32:04.867420: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:04.953955: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:05.088221: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:05.157478: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)): 3.01s
I0603 06:32:07.600933 281473219523456 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)): 3.01s
[       OK ] DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)
[ RUN      ] DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)
I0603 06:32:07.602666 281473219523456 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:07.602843 281473219523456 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:32:07.602995 281473219523456 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:32:07.603451 281473219523456 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:32:07.603599 281473219523456 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
2023-06-03 06:32:07.858714: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:09.877901: I tensorflow/dtensor/cc/dtensor_device.cc:1574] DTensor cache key lookup missed for __inference_train_1463. DTensor is (re-)computing its SPMD transformation.
2023-06-03 06:32:09.885657: I tensorflow/dtensor/cc/dtensor_device.cc:1643] DTensor cache key lookup missed for __inference_train_1463. DTensor is (re-)computing its ExecutionFunctions.
INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)): 3.11s
I0603 06:32:10.715993 281473219523456 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)): 3.11s
[       OK ] DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)
[ RUN      ] DTensorDatasetTest.testMixedLayoutsFails
I0603 06:32:10.717744 281473219523456 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:10.717931 281473219523456 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:32:10.718092 281473219523456 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:32:10.718588 281473219523456 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:32:10.718738 281473219523456 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
INFO:tensorflow:time(__main__.DTensorDatasetTest.testMixedLayoutsFails): 0.38s
I0603 06:32:11.094922 281473219523456 test_util.py:2464] time(__main__.DTensorDatasetTest.testMixedLayoutsFails): 0.38s
[       OK ] DTensorDatasetTest.testMixedLayoutsFails
[ RUN      ] InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])
I0603 06:32:11.097180 281473219523456 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:11.097440 281473219523456 mesh_util.py:36] Number of global CPU devices: 8
I0603 06:32:11.097609 281473219523456 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7]
I0603 06:32:11.098011 281473219523456 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7]
I0603 06:32:11.098155 281473219523456 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7']
INFO:tensorflow:time(__main__.InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])): 0.0s
I0603 06:32:11.098749 281473219523456 test_util.py:2464] time(__main__.InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])): 0.0s
[       OK ] InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])
======================================================================
ERROR: testForInIterationEager (__main__.DTensorDatasetTest)
DTensorDatasetTest.testForInIterationEager
testForInIterationEager(False)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/absl_py/absl/testing/parameterized.py", line 316, in bound_param_test
    return test_method(self, *testcase_params)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/input_util_test.py", line 188, in testForInIteration
    self.assertDTensorEqual(output, images_layout, d_output)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/test_util.py", line 303, in assertDTensorEqual
    unpacked = [t.numpy() for t in api.unpack(result_dtensor)]
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/api.py", line 372, in unpack
    return _dtensor_device().unpack(tensor)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/dtensor_device.py", line 246, in unpack
    raise core._status_to_exception(e) from None  # pylint: disable=protected-access
tensorflow.python.framework.errors_impl.CancelledError: {{function_node AddV2__func_2528264543976721284_13230101824050524202_2386512056599665587_2}} Function was cancelled before it was started

----------------------------------------------------------------------
Ran 7 tests in 14.918s

FAILED (errors=1)
================================================================================
==================== Test output for //tensorflow/dtensor/python/tests:input_util_test (shard 1 of 8):
2023-06-03 06:32:19.668153: I tensorflow/core/util/port.cc:116] Experimental oneDNN custom operations are on. If you experience issues, please turn them off by setting the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Running tests under Python 3.10.11: /usr/local/bin/python3
[ RUN      ] DTensorDatasetTest.testForInIterationEager
I0603 06:32:21.205013 281473280209792 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:21.205266 281473280209792 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:32:21.205444 281473280209792 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:32:21.205983 281473280209792 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:32:21.206238 281473280209792 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
/usr/local/lib/python3.10/dist-packages/google/protobuf/message_factory.py:166: UserWarning: MessageFactory class is deprecated. Please use GetMessageClass() instead of MessageFactory.GetPrototype. MessageFactory class will be removed after 2024.
  warnings.warn('MessageFactory class is deprecated. Please use '
2023-06-03 06:32:21.733158: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:21.841837: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:21.894178: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:21.945976: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:23.479874: E tensorflow/dtensor/cc/dtensor_device.cc:2245] Error executing IteratorGetNext {{function_node IteratorGetNext__func_7117014479607279009_12989052755378955192_1628789561242421788_0}} End of sequence
	 [[{{node tf.StatefulPartitionedCall/eager_operation}}]]
	Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors.
INFO:tensorflow:time(__main__.DTensorDatasetTest.testForInIterationEager): 2.37s
I0603 06:32:23.572899 281473280209792 test_util.py:2464] time(__main__.DTensorDatasetTest.testForInIterationEager): 2.37s
[  FAILED  ] DTensorDatasetTest.testForInIterationEager
[ RUN      ] DTensorDatasetTest.testIterOnBatchedDatasetGraph
I0603 06:32:23.578495 281473280209792 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:23.578712 281473280209792 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:32:23.578878 281473280209792 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:32:23.579352 281473280209792 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:32:23.579502 281473280209792 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
2023-06-03 06:32:23.781847: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:23.850967: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:23.917670: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:23.984107: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:25.967656: I tensorflow/dtensor/cc/dtensor_device.cc:1574] DTensor cache key lookup missed for __inference_train_618. DTensor is (re-)computing its SPMD transformation.
2023-06-03 06:32:25.975042: I tensorflow/dtensor/cc/dtensor_device.cc:1643] DTensor cache key lookup missed for __inference_train_618. DTensor is (re-)computing its ExecutionFunctions.
INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 3.07s
I0603 06:32:26.643113 281473280209792 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterOnBatchedDatasetGraph): 3.07s
[       OK ] DTensorDatasetTest.testIterOnBatchedDatasetGraph
[ RUN      ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)
I0603 06:32:26.644536 281473280209792 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:26.644695 281473280209792 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:32:26.644850 281473280209792 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:32:26.645296 281473280209792 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:32:26.645440 281473280209792 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
2023-06-03 06:32:26.869964: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)): 2.42s
I0603 06:32:29.067304 281473280209792 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)): 2.42s
[       OK ] DTensorDatasetTest.testIterWithLayouts1 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=False, through_dtensor=True)
[ RUN      ] DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)
I0603 06:32:29.068788 281473280209792 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:29.068960 281473280209792 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:32:29.069115 281473280209792 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:32:29.069562 281473280209792 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:32:29.069706 281473280209792 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
2023-06-03 06:32:29.288097: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:29.358056: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:29.418042: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:29.488050: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)): 2.69s
I0603 06:32:31.760009 281473280209792 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)): 2.69s
[       OK ] DTensorDatasetTest.testIterWithLayouts17 (images_sharding=['batch', 'height', 'width', 'unsharded'], labels_sharding=['batch', 'unsharded'], is_graph=False, through_dtensor=True)
[ RUN      ] DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)
I0603 06:32:31.761400 281473280209792 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:31.761552 281473280209792 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:32:31.761706 281473280209792 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:32:31.762149 281473280209792 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:32:31.762295 281473280209792 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
2023-06-03 06:32:31.968879: I tensorflow/core/grappler/optimizers/data/replicate_on_split.cc:32] Running replicate on split optimization
2023-06-03 06:32:33.424498: I tensorflow/dtensor/cc/dtensor_device.cc:1574] DTensor cache key lookup missed for __inference_train_1462. DTensor is (re-)computing its SPMD transformation.
2023-06-03 06:32:33.431766: I tensorflow/dtensor/cc/dtensor_device.cc:1643] DTensor cache key lookup missed for __inference_train_1462. DTensor is (re-)computing its ExecutionFunctions.
INFO:tensorflow:time(__main__.DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)): 2.43s
I0603 06:32:34.190512 281473280209792 test_util.py:2464] time(__main__.DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)): 2.43s
[       OK ] DTensorDatasetTest.testIterWithLayouts3 (images_sharding=['unsharded', 'unsharded', 'unsharded', 'unsharded'], labels_sharding=['unsharded', 'unsharded'], is_graph=True, through_dtensor=True)
[ RUN      ] DTensorDatasetTest.testMixedLayoutsFails
I0603 06:32:34.192053 281473280209792 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:34.192220 281473280209792 mesh_util.py:36] Number of global CPU devices: 16
I0603 06:32:34.192378 281473280209792 mesh_util.py:39] Global device IDs: [[[ 0  1]
  [ 2  3]]

 [[ 4  5]
  [ 6  7]]

 [[ 8  9]
  [10 11]]

 [[12 13]
  [14 15]]]
I0603 06:32:34.192834 281473280209792 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
I0603 06:32:34.192980 281473280209792 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7', '/job:localhost/replica:0/task:0/device:CPU:8', '/job:localhost/replica:0/task:0/device:CPU:9', '/job:localhost/replica:0/task:0/device:CPU:10', '/job:localhost/replica:0/task:0/device:CPU:11', '/job:localhost/replica:0/task:0/device:CPU:12', '/job:localhost/replica:0/task:0/device:CPU:13', '/job:localhost/replica:0/task:0/device:CPU:14', '/job:localhost/replica:0/task:0/device:CPU:15']
INFO:tensorflow:time(__main__.DTensorDatasetTest.testMixedLayoutsFails): 0.24s
I0603 06:32:34.433465 281473280209792 test_util.py:2464] time(__main__.DTensorDatasetTest.testMixedLayoutsFails): 0.24s
[       OK ] DTensorDatasetTest.testMixedLayoutsFails
[ RUN      ] InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])
I0603 06:32:34.434827 281473280209792 mesh_util.py:35] This is client 0 of 1 clients
I0603 06:32:34.434989 281473280209792 mesh_util.py:36] Number of global CPU devices: 8
I0603 06:32:34.435140 281473280209792 mesh_util.py:39] Global device IDs: [0 1 2 3 4 5 6 7]
I0603 06:32:34.435485 281473280209792 mesh_util.py:40] Local device IDs: [0, 1, 2, 3, 4, 5, 6, 7]
I0603 06:32:34.435628 281473280209792 mesh_util.py:41] Local devices: ['/job:localhost/replica:0/task:0/device:CPU:0', '/job:localhost/replica:0/task:0/device:CPU:1', '/job:localhost/replica:0/task:0/device:CPU:2', '/job:localhost/replica:0/task:0/device:CPU:3', '/job:localhost/replica:0/task:0/device:CPU:4', '/job:localhost/replica:0/task:0/device:CPU:5', '/job:localhost/replica:0/task:0/device:CPU:6', '/job:localhost/replica:0/task:0/device:CPU:7']
INFO:tensorflow:time(__main__.InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])): 0.0s
I0603 06:32:34.436094 281473280209792 test_util.py:2464] time(__main__.InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])): 0.0s
[       OK ] InputUtilHelpersTest.testShardCounts1 (mesh_dims=[('batch', 8)], layout_specs=['batch'], batch_dim=None, counts=[8])
======================================================================
ERROR: testForInIterationEager (__main__.DTensorDatasetTest)
DTensorDatasetTest.testForInIterationEager
testForInIterationEager(False)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/absl_py/absl/testing/parameterized.py", line 316, in bound_param_test
    return test_method(self, *testcase_params)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/input_util_test.py", line 185, in testForInIteration
    d_output, d_iters = train_fn(d_iterator)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/tests/input_util_test.py", line 174, in train
    for img in iterator:
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/dtensor/python/input_util.py", line 147, in __next__
    host_elem = self._next_internal()
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/python/data/ops/iterator_ops.py", line 772, in _next_internal
    ret = gen_dataset_ops.iterator_get_next(
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/python/ops/gen_dataset_ops.py", line 3028, in iterator_get_next
    _ops.raise_from_not_ok_status(e, name)
  File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/dtensor/python/tests/input_util_test.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5880, in raise_from_not_ok_status
    raise core._status_to_exception(e) from None  # pylint: disable=protected-access
tensorflow.python.framework.errors_impl.CancelledError: {{function_node AddV2__func_15668075804795185613_13230101824050524202_2386512056599665587_2}} Function was cancelled before it was started
	Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors. [Op:IteratorGetNext] name: 

----------------------------------------------------------------------
Ran 7 tests in 13.233s

FAILED (errors=1)
================================================================================
//tensorflow/c:c_api_experimental_test                                   PASSED in 42.1s
//tensorflow/c:c_api_function_test                                       PASSED in 41.5s
//tensorflow/c:c_api_test_cpu                                            PASSED in 45.3s
//tensorflow/c:c_test                                                    PASSED in 35.3s
//tensorflow/c:env_test_cpu                                              PASSED in 33.6s
//tensorflow/c:kernels_test_cpu                                          PASSED in 36.8s
//tensorflow/c:ops_test                                                  PASSED in 27.4s
//tensorflow/c:while_loop_test                                           PASSED in 35.6s
//tensorflow/c/eager:c_api_cluster_test_cpu                              PASSED in 44.6s
//tensorflow/c/eager:c_api_remote_function_test_cpu                      PASSED in 54.0s
//tensorflow/c/eager:c_api_remote_test_cpu                               PASSED in 42.3s
//tensorflow/c/eager:c_api_test_cpu                                      PASSED in 45.1s
//tensorflow/c/eager:custom_device_test                                  PASSED in 43.1s
//tensorflow/c/eager/parallel_device:parallel_device_lib_test            PASSED in 44.0s
//tensorflow/c/eager/parallel_device:parallel_device_remote_test         PASSED in 39.2s
//tensorflow/c/eager/parallel_device:parallel_device_test                PASSED in 41.4s
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//tensorflow/c/experimental/grappler:grappler_test                       PASSED in 36.7s
//tensorflow/c/experimental/ops/gen/common:case_format_test              PASSED in 1.0s
//tensorflow/c/experimental/ops/gen/cpp:cpp_generator_test               PASSED in 1.1s
//tensorflow/c/experimental/ops/gen/cpp/renderers:renderer_test          PASSED in 0.9s
//tensorflow/c/experimental/saved_model/core:constant_loading_test       PASSED in 14.8s
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//tensorflow/c/experimental/saved_model/core/ops:restore_ops_test        PASSED in 16.3s
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//tensorflow/c/experimental/saved_model/internal:saved_model_api_test    PASSED in 48.1s
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//tensorflow/cc:coordinator_test                                         PASSED in 4.4s
//tensorflow/cc:framework_cc_ops_test                                    PASSED in 2.9s
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//tensorflow/cc:gradients_array_grad_test                                PASSED in 13.1s
//tensorflow/cc:gradients_data_flow_grad_test                            PASSED in 3.5s
//tensorflow/cc:gradients_functional_grad_test                           PASSED in 4.1s
//tensorflow/cc:gradients_image_grad_test                                PASSED in 7.4s
//tensorflow/cc:gradients_linalg_grad_test                               PASSED in 3.2s
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//tensorflow/cc:gradients_math_grad_test                                 PASSED in 7.6s
//tensorflow/cc:gradients_nn_grad_test                                   PASSED in 14.9s
//tensorflow/cc:gradients_resource_variable_grad_test                    PASSED in 2.6s
//tensorflow/cc:ops_const_op_test                                        PASSED in 2.0s
//tensorflow/cc:ops_while_loop_test                                      PASSED in 3.8s
//tensorflow/cc:queue_runner_test                                        PASSED in 13.0s
//tensorflow/cc/experimental/base/tests:tensor_test                      PASSED in 0.1s
//tensorflow/cc/experimental/base/tests:tensorhandle_test                PASSED in 41.7s
//tensorflow/cc/experimental/libexport:load_test                         PASSED in 0.2s
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//tensorflow/cc/experimental/libtf:libtf_module_test                     PASSED in 46.6s
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//tensorflow/cc/experimental/libtf:libtf_value_test                      PASSED in 0.7s
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//tensorflow/cc/saved_model:bundle_v2_test                               PASSED in 0.2s
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//tensorflow/cc/saved_model:saved_model_bundle_test                      PASSED in 7.0s
//tensorflow/cc/saved_model:util_test                                    PASSED in 0.5s
//tensorflow/cc/saved_model/experimental/tests:saved_model_api_test      PASSED in 48.2s
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//tensorflow/compiler/jit:xla_cluster_util_test                          PASSED in 10.3s
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//tensorflow/tsl/platform/cloud:compute_engine_metadata_client_test      PASSED in 0.2s
//tensorflow/tsl/platform/cloud:compute_engine_zone_provider_test        PASSED in 0.1s
//tensorflow/tsl/platform/cloud:curl_http_request_test                   PASSED in 7.1s
//tensorflow/tsl/platform/cloud:expiring_lru_cache_test                  PASSED in 0.4s
//tensorflow/tsl/platform/cloud:gcs_dns_cache_test                       PASSED in 0.1s
//tensorflow/tsl/platform/cloud:gcs_file_system_test                     PASSED in 5.4s
//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 2.5s
//tensorflow/tsl/platform/cloud:time_util_test                           PASSED in 0.1s
//tensorflow/tsl/profiler/backends/cpu:traceme_recorder_test             PASSED in 0.2s
//tensorflow/tsl/profiler/convert:trace_container_test                   PASSED in 0.4s
//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 0.4s
//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 0.8s
//tensorflow/tsl/profiler/rpc/client:profiler_client_test                PASSED in 3.2s
//tensorflow/tsl/profiler/rpc/client:remote_profiler_session_manager_test PASSED in 3.3s
//tensorflow/tsl/profiler/utils:buffer_pool_test                         PASSED in 0.1s
//tensorflow/tsl/profiler/utils:group_events_test                        PASSED in 0.1s
//tensorflow/tsl/profiler/utils:parse_annotation_test                    PASSED in 0.1s
//tensorflow/tsl/profiler/utils:preprocess_xplane_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 0.1s
//tensorflow/tsl/profiler/utils:tpu_xplane_utils_test                    PASSED in 0.3s
//tensorflow/tsl/profiler/utils:xplane_builder_test                      PASSED in 0.3s
//tensorflow/tsl/profiler/utils:xplane_utils_test                        PASSED in 0.1s
//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 7.3s
  Stats over 2 runs: max = 7.3s, min = 6.5s, avg = 6.9s, dev = 0.4s
//tensorflow/compiler/tests:complex_div_test_cpu_mlir_bridge_test        PASSED in 11.3s
  Stats over 2 runs: max = 11.3s, min = 10.8s, avg = 11.0s, dev = 0.3s
//tensorflow/compiler/xla/tests:conditional_test_cpu                     PASSED in 13.5s
  Stats over 2 runs: max = 13.5s, min = 12.9s, avg = 13.2s, dev = 0.3s
//tensorflow/python/data/experimental/kernel_tests/optimization:optimization_test PASSED in 17.6s
  Stats over 2 runs: max = 17.6s, min = 11.0s, avg = 14.3s, dev = 3.3s
//tensorflow/python/data/experimental/kernel_tests/service:metadata_test PASSED in 19.9s
  Stats over 2 runs: max = 19.9s, min = 14.8s, avg = 17.4s, dev = 2.6s
//tensorflow/python/data/kernel_tests:padded_batch_test                  PASSED in 26.1s
  Stats over 2 runs: max = 26.1s, min = 24.2s, avg = 25.2s, dev = 1.0s
//tensorflow/python/data/kernel_tests:repeat_test                        PASSED in 37.9s
  Stats over 2 runs: max = 37.9s, min = 37.8s, avg = 37.8s, dev = 0.1s
//tensorflow/python/data/kernel_tests:window_test                        PASSED in 25.3s
  Stats over 2 runs: max = 25.3s, min = 19.8s, avg = 22.5s, dev = 2.7s
//tensorflow/python/kernel_tests/array_ops:scatter_nd_ops_test_cpu       PASSED in 32.9s
  Stats over 2 runs: max = 32.9s, min = 32.6s, avg = 32.8s, dev = 0.2s
//tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu    PASSED in 20.7s
  Stats over 2 runs: max = 20.7s, min = 19.1s, avg = 19.9s, dev = 0.8s
//tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu            PASSED in 9.9s
  Stats over 2 runs: max = 9.9s, min = 8.9s, avg = 9.4s, dev = 0.5s
//tensorflow/python/kernel_tests/nn_ops:atrous_conv2d_test_cpu           PASSED in 31.2s
  Stats over 2 runs: max = 31.2s, min = 22.6s, avg = 26.9s, dev = 4.3s
//tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu             PASSED in 103.3s
  Stats over 2 runs: max = 103.3s, min = 35.7s, avg = 69.5s, dev = 33.8s
//tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 113.7s
  Stats over 2 runs: max = 113.7s, min = 6.5s, avg = 60.1s, dev = 53.6s
//tensorflow/python/ops:control_flow_ops_test_cpu                        PASSED in 28.4s
  Stats over 2 runs: max = 28.4s, min = 21.7s, avg = 25.0s, dev = 3.3s
//tensorflow/compiler/tests:spacetobatch_op_test_cpu                     PASSED in 8.3s
  Stats over 3 runs: max = 8.3s, min = 7.9s, avg = 8.1s, dev = 0.1s
//tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test    PASSED in 10.8s
  Stats over 3 runs: max = 10.8s, min = 9.6s, avg = 10.4s, dev = 0.6s
//tensorflow/compiler/xla/tests:triangular_solve_test_cpu                PASSED in 64.3s
  Stats over 3 runs: max = 64.3s, min = 60.1s, avg = 62.5s, dev = 1.8s
//tensorflow/core/data/service:thread_safe_buffer_test                   PASSED in 0.4s
  Stats over 3 runs: max = 0.4s, min = 0.3s, avg = 0.4s, dev = 0.0s
//tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test PASSED in 15.9s
  Stats over 3 runs: max = 15.9s, min = 11.0s, avg = 14.2s, dev = 2.3s
//tensorflow/python/data/kernel_tests:unique_test                        PASSED in 17.5s
  Stats over 3 runs: max = 17.5s, min = 12.5s, avg = 14.7s, dev = 2.1s
//tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu            PASSED in 49.3s
  Stats over 3 runs: max = 49.3s, min = 30.9s, avg = 37.2s, dev = 8.6s
//tensorflow/python/kernel_tests/array_ops:weights_broadcast_test        PASSED in 8.8s
  Stats over 3 runs: max = 8.8s, min = 8.2s, avg = 8.4s, dev = 0.2s
//tensorflow/python/kernel_tests/distributions:util_test_cpu             PASSED in 14.4s
  Stats over 3 runs: max = 14.4s, min = 10.9s, avg = 12.9s, dev = 1.5s
//tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 233.1s
  Stats over 3 runs: max = 233.1s, min = 11.2s, avg = 85.5s, dev = 104.4s
//tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu      PASSED in 16.8s
  Stats over 3 runs: max = 16.8s, min = 9.7s, avg = 12.4s, dev = 3.1s
//tensorflow/compiler/xla/tests:dynamic_ops_test_cpu                     PASSED in 12.5s
  Stats over 4 runs: max = 12.5s, min = 11.6s, avg = 12.0s, dev = 0.3s
//tensorflow/core/kernels:example_parsing_ops_test                       PASSED in 0.7s
  Stats over 4 runs: max = 0.7s, min = 0.5s, avg = 0.6s, dev = 0.1s
//tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 37.9s
  Stats over 4 runs: max = 37.9s, min = 21.0s, avg = 30.7s, dev = 7.2s
//tensorflow/python/data/experimental/kernel_tests:map_and_batch_test    PASSED in 42.0s
  Stats over 4 runs: max = 42.0s, min = 25.8s, avg = 31.4s, dev = 6.3s
//tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 23.3s
  Stats over 4 runs: max = 23.3s, min = 12.3s, avg = 18.0s, dev = 5.3s
//tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test  PASSED in 48.1s
  Stats over 4 runs: max = 48.1s, min = 34.3s, avg = 40.7s, dev = 5.1s
//tensorflow/python/data/experimental/kernel_tests:sql_dataset_test      PASSED in 33.5s
  Stats over 4 runs: max = 33.5s, min = 25.3s, avg = 28.7s, dev = 3.3s
//tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 7.5s
  Stats over 4 runs: max = 7.5s, min = 6.6s, avg = 7.0s, dev = 0.4s
//tensorflow/python/data/experimental/kernel_tests/service:distributed_save_test PASSED in 40.4s
  Stats over 4 runs: max = 40.4s, min = 23.0s, avg = 31.1s, dev = 7.7s
//tensorflow/python/data/kernel_tests:batch_test                         PASSED in 36.3s
  Stats over 4 runs: max = 36.3s, min = 27.1s, avg = 29.9s, dev = 3.7s
//tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test   PASSED in 16.0s
  Stats over 4 runs: max = 16.0s, min = 8.3s, avg = 12.3s, dev = 3.5s
//tensorflow/python/data/kernel_tests:from_generator_test                PASSED in 26.3s
  Stats over 4 runs: max = 26.3s, min = 16.5s, avg = 21.0s, dev = 3.9s
//tensorflow/python/data/kernel_tests:group_by_window_test               PASSED in 62.8s
  Stats over 4 runs: max = 62.8s, min = 38.5s, avg = 48.5s, dev = 10.1s
//tensorflow/python/data/kernel_tests:ragged_batch_test                  PASSED in 24.2s
  Stats over 4 runs: max = 24.2s, min = 19.6s, avg = 21.8s, dev = 1.9s
//tensorflow/python/data/kernel_tests:skip_test                          PASSED in 26.9s
  Stats over 4 runs: max = 26.9s, min = 17.9s, avg = 22.0s, dev = 3.6s
//tensorflow/python/data/kernel_tests:take_test                          PASSED in 23.0s
  Stats over 4 runs: max = 23.0s, min = 20.2s, avg = 21.6s, dev = 1.2s
//tensorflow/python/data/kernel_tests:take_while_test                    PASSED in 28.1s
  Stats over 4 runs: max = 28.1s, min = 25.9s, avg = 27.2s, dev = 0.8s
//tensorflow/python/data/kernel_tests:text_line_dataset_test             PASSED in 54.5s
  Stats over 4 runs: max = 54.5s, min = 50.6s, avg = 52.8s, dev = 1.8s
//tensorflow/python/data/kernel_tests:zip_test                           PASSED in 13.0s
  Stats over 4 runs: max = 13.0s, min = 11.8s, avg = 12.3s, dev = 0.5s
//tensorflow/python/debug/lib:dumping_callback_test_cpu                  PASSED in 17.0s
  Stats over 4 runs: max = 17.0s, min = 13.0s, avg = 14.5s, dev = 1.5s
//tensorflow/python/distribute:cross_device_ops_test_2gpu                PASSED in 28.2s
  Stats over 4 runs: max = 28.2s, min = 20.1s, avg = 24.2s, dev = 3.2s
//tensorflow/python/distribute:cross_device_ops_test_cpu                 PASSED in 34.4s
  Stats over 4 runs: max = 34.4s, min = 27.8s, avg = 31.1s, dev = 2.8s
//tensorflow/python/framework:convert_to_constants_test                  PASSED in 18.6s
  Stats over 4 runs: max = 18.6s, min = 13.2s, avg = 15.4s, dev = 2.0s
//tensorflow/python/kernel_tests:collective_ops_test_2gpu                PASSED in 63.8s
  Stats over 4 runs: max = 63.8s, min = 62.6s, avg = 63.0s, dev = 0.5s
//tensorflow/python/kernel_tests:collective_ops_test_cpu                 PASSED in 33.5s
  Stats over 4 runs: max = 33.5s, min = 31.4s, avg = 32.5s, dev = 0.8s
//tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu            PASSED in 11.9s
  Stats over 4 runs: max = 11.9s, min = 9.5s, avg = 11.0s, dev = 0.9s
//tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu             PASSED in 71.8s
  Stats over 4 runs: max = 71.8s, min = 23.2s, avg = 45.8s, dev = 20.4s
//tensorflow/python/kernel_tests/array_ops:split_op_test_cpu             PASSED in 27.9s
  Stats over 4 runs: max = 27.9s, min = 7.3s, avg = 15.0s, dev = 8.3s
//tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu               PASSED in 81.9s
  Stats over 4 runs: max = 81.9s, min = 17.0s, avg = 43.8s, dev = 26.7s
//tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 28.9s
  Stats over 4 runs: max = 28.9s, min = 27.3s, avg = 27.9s, dev = 0.6s
//tensorflow/python/kernel_tests/random:random_gamma_test_cpu            PASSED in 82.3s
  Stats over 4 runs: max = 82.3s, min = 8.5s, avg = 40.1s, dev = 32.1s
//tensorflow/python/kernel_tests/signal:window_ops_test_cpu              PASSED in 24.0s
  Stats over 4 runs: max = 24.0s, min = 22.0s, avg = 22.7s, dev = 0.8s
//tensorflow/python/ops:nn_batchnorm_test_cpu                            PASSED in 21.5s
  Stats over 4 runs: max = 21.5s, min = 16.9s, avg = 18.4s, dev = 1.8s
//tensorflow/python/ops:nn_fused_batchnorm_d9m_test_cpu                  PASSED in 16.5s
  Stats over 4 runs: max = 16.5s, min = 16.5s, avg = 16.5s, dev = 0.0s
//tensorflow/python/ops/ragged:ragged_gather_op_test                     PASSED in 64.0s
  Stats over 4 runs: max = 64.0s, min = 17.8s, avg = 38.9s, dev = 16.6s
//tensorflow/python/ops/ragged:ragged_getitem_test                       PASSED in 54.6s
  Stats over 4 runs: max = 54.6s, min = 46.7s, avg = 49.6s, dev = 3.2s
//tensorflow/compiler/tests:async_comp_test_cpu                          PASSED in 6.1s
  Stats over 5 runs: max = 6.1s, min = 2.5s, avg = 3.3s, dev = 1.4s
//tensorflow/compiler/tests:conv3d_test_cpu                              PASSED in 11.8s
  Stats over 5 runs: max = 11.8s, min = 4.5s, avg = 7.9s, dev = 3.1s
//tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test             PASSED in 11.0s
  Stats over 5 runs: max = 11.0s, min = 6.1s, avg = 8.4s, dev = 2.1s
//tensorflow/compiler/tests:depthwise_conv_op_test_cpu                   PASSED in 14.8s
  Stats over 5 runs: max = 14.8s, min = 8.8s, avg = 11.1s, dev = 2.2s
//tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test  PASSED in 16.0s
  Stats over 5 runs: max = 16.0s, min = 9.3s, avg = 12.2s, dev = 2.6s
//tensorflow/compiler/tests:fused_batchnorm_test_cpu                     PASSED in 6.2s
  Stats over 5 runs: max = 6.2s, min = 5.2s, avg = 5.7s, dev = 0.3s
//tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test    PASSED in 8.9s
  Stats over 5 runs: max = 8.9s, min = 7.9s, avg = 8.5s, dev = 0.3s
//tensorflow/compiler/tests:image_ops_jit_compile_test_cpu               PASSED in 7.5s
  Stats over 5 runs: max = 7.5s, min = 5.8s, avg = 6.5s, dev = 0.6s
//tensorflow/compiler/tests:reduce_ops_test_cpu                          PASSED in 37.9s
  Stats over 5 runs: max = 37.9s, min = 34.6s, avg = 36.6s, dev = 1.1s
//tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test         PASSED in 14.1s
  Stats over 5 runs: max = 14.1s, min = 11.3s, avg = 12.8s, dev = 0.9s
//tensorflow/compiler/tests:repeat_op_test_cpu                           PASSED in 7.3s
  Stats over 5 runs: max = 7.3s, min = 5.9s, avg = 6.5s, dev = 0.5s
//tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test          PASSED in 6.9s
  Stats over 5 runs: max = 6.9s, min = 5.6s, avg = 6.1s, dev = 0.5s
//tensorflow/compiler/tests:special_math_test_cpu                        PASSED in 108.7s
  Stats over 5 runs: max = 108.7s, min = 13.6s, avg = 49.4s, dev = 32.8s
//tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test       PASSED in 82.7s
  Stats over 5 runs: max = 82.7s, min = 12.7s, avg = 38.9s, dev = 23.9s
//tensorflow/compiler/xla/client/lib:self_adjoint_eig_test_cpu           PASSED in 32.1s
  Stats over 5 runs: max = 32.1s, min = 16.7s, avg = 25.5s, dev = 6.8s
//tensorflow/core/grappler/optimizers:constant_folding_test              PASSED in 5.3s
  Stats over 5 runs: max = 5.3s, min = 2.9s, avg = 4.1s, dev = 1.0s
//tensorflow/dtensor/python/tests:layout_propagation_test_cpu            PASSED in 10.4s
  Stats over 5 runs: max = 10.4s, min = 8.0s, avg = 8.8s, dev = 0.9s
//tensorflow/dtensor/python/tests:multi_mesh_test_cpu                    PASSED in 8.7s
  Stats over 5 runs: max = 8.7s, min = 7.5s, avg = 8.0s, dev = 0.5s
//tensorflow/python/distribute:mirrored_strategy_test_2gpu               PASSED in 11.8s
  Stats over 5 runs: max = 11.8s, min = 10.9s, avg = 11.5s, dev = 0.3s
//tensorflow/python/distribute:mirrored_strategy_test_cpu                PASSED in 12.2s
  Stats over 5 runs: max = 12.2s, min = 10.2s, avg = 11.6s, dev = 0.7s
//tensorflow/python/distribute:moving_averages_test_2gpu                 PASSED in 17.9s
  Stats over 5 runs: max = 17.9s, min = 14.2s, avg = 16.0s, dev = 1.3s
//tensorflow/python/distribute:moving_averages_test_cpu                  PASSED in 15.8s
  Stats over 5 runs: max = 15.8s, min = 12.4s, avg = 14.1s, dev = 1.2s
//tensorflow/python/distribute:vars_test_2gpu                            PASSED in 17.0s
  Stats over 5 runs: max = 17.0s, min = 14.4s, avg = 15.6s, dev = 0.8s
//tensorflow/python/distribute:vars_test_cpu                             PASSED in 70.7s
  Stats over 5 runs: max = 70.7s, min = 67.7s, avg = 69.1s, dev = 1.0s
//tensorflow/python/eager:device_placement_test_cpu                      PASSED in 10.1s
  Stats over 5 runs: max = 10.1s, min = 7.0s, avg = 8.5s, dev = 1.2s
//tensorflow/python/eager:forwardprop_test_cpu                           PASSED in 136.5s
  Stats over 5 runs: max = 136.5s, min = 20.3s, avg = 56.4s, dev = 40.9s
//tensorflow/python/eager/polymorphic_function:gradients_test_cpu        PASSED in 17.1s
  Stats over 5 runs: max = 17.1s, min = 10.8s, avg = 13.3s, dev = 2.3s
//tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu             PASSED in 90.0s
  Stats over 5 runs: max = 90.0s, min = 35.3s, avg = 51.2s, dev = 20.1s
//tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 23.3s
  Stats over 5 runs: max = 23.3s, min = 22.0s, avg = 22.8s, dev = 0.5s
//tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 76.8s
  Stats over 5 runs: max = 76.8s, min = 73.8s, avg = 75.0s, dev = 1.0s
//tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu    PASSED in 23.2s
  Stats over 5 runs: max = 23.2s, min = 20.0s, avg = 21.8s, dev = 1.0s
//tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 27.1s
  Stats over 5 runs: max = 27.1s, min = 25.5s, avg = 26.2s, dev = 0.6s
//tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 24.3s
  Stats over 5 runs: max = 24.3s, min = 23.3s, avg = 24.0s, dev = 0.4s
//tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 34.5s
  Stats over 5 runs: max = 34.5s, min = 32.0s, avg = 33.0s, dev = 1.0s
//tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 28.3s
  Stats over 5 runs: max = 28.3s, min = 26.8s, avg = 27.6s, dev = 0.6s
//tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 19.3s
  Stats over 5 runs: max = 19.3s, min = 18.1s, avg = 18.9s, dev = 0.4s
//tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 16.7s
  Stats over 5 runs: max = 16.7s, min = 11.3s, avg = 13.1s, dev = 1.9s
//tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 63.2s
  Stats over 5 runs: max = 63.2s, min = 61.1s, avg = 61.9s, dev = 0.7s
//tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu    PASSED in 7.4s
  Stats over 5 runs: max = 7.4s, min = 6.5s, avg = 6.9s, dev = 0.3s
//tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu   PASSED in 12.3s
  Stats over 5 runs: max = 12.3s, min = 10.2s, avg = 10.9s, dev = 0.7s
//tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test      PASSED in 14.2s
  Stats over 5 runs: max = 14.2s, min = 6.1s, avg = 8.4s, dev = 3.1s
//tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test      PASSED in 14.7s
  Stats over 5 runs: max = 14.7s, min = 6.0s, avg = 8.4s, dev = 3.3s
//tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu          PASSED in 28.2s
  Stats over 5 runs: max = 28.2s, min = 9.2s, avg = 13.4s, dev = 7.4s
//tensorflow/python/ops/parallel_for:math_test_cpu                       PASSED in 62.4s
  Stats over 5 runs: max = 62.4s, min = 24.9s, avg = 41.0s, dev = 13.2s
//tensorflow/compiler/tests:scan_ops_test_cpu                            PASSED in 15.8s
  Stats over 6 runs: max = 15.8s, min = 11.3s, avg = 13.3s, dev = 1.4s
//tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test           PASSED in 17.9s
  Stats over 6 runs: max = 17.9s, min = 11.4s, avg = 15.3s, dev = 2.0s
//tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 24.5s
  Stats over 6 runs: max = 24.5s, min = 6.5s, avg = 14.5s, dev = 7.8s
//tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu              PASSED in 56.8s
  Stats over 6 runs: max = 56.8s, min = 9.2s, avg = 19.9s, dev = 16.7s
//tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu         PASSED in 48.4s
  Stats over 6 runs: max = 48.4s, min = 23.4s, avg = 34.9s, dev = 7.8s
//tensorflow/python/ops:accumulate_n_benchmark_cpu                       PASSED in 9.5s
  Stats over 6 runs: max = 9.5s, min = 7.0s, avg = 8.0s, dev = 0.8s
//tensorflow/python/distribute/experimental/rpc:rpc_ops_test             PASSED in 11.0s
  Stats over 7 runs: max = 11.0s, min = 8.0s, avg = 9.1s, dev = 1.1s
//tensorflow/compiler/tests:matrix_diag_ops_test_cpu                     PASSED in 55.7s
  Stats over 8 runs: max = 55.7s, min = 4.3s, avg = 22.0s, dev = 17.5s
//tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test    PASSED in 69.6s
  Stats over 8 runs: max = 69.6s, min = 5.4s, avg = 25.2s, dev = 21.6s
//tensorflow/python/data/experimental/kernel_tests:csv_dataset_test      PASSED in 24.4s
  Stats over 8 runs: max = 24.4s, min = 4.3s, avg = 11.7s, dev = 6.1s
//tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 97.4s
  Stats over 8 runs: max = 97.4s, min = 74.9s, avg = 86.2s, dev = 7.6s
//tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 56.0s
  Stats over 8 runs: max = 56.0s, min = 22.7s, avg = 38.9s, dev = 14.0s
//tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 35.2s
  Stats over 8 runs: max = 35.2s, min = 8.1s, avg = 16.2s, dev = 10.5s
//tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 30.4s
  Stats over 8 runs: max = 30.4s, min = 8.8s, avg = 16.5s, dev = 7.9s
//tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 33.6s
  Stats over 8 runs: max = 33.6s, min = 13.3s, avg = 17.9s, dev = 6.3s
//tensorflow/python/data/kernel_tests:filter_test                        PASSED in 16.1s
  Stats over 8 runs: max = 16.1s, min = 12.1s, avg = 14.1s, dev = 1.2s
//tensorflow/python/data/kernel_tests:flat_map_test                      PASSED in 22.6s
  Stats over 8 runs: max = 22.6s, min = 13.3s, avg = 16.8s, dev = 3.4s
//tensorflow/python/data/kernel_tests:shard_test                         PASSED in 79.0s
  Stats over 8 runs: max = 79.0s, min = 60.2s, avg = 65.7s, dev = 5.4s
//tensorflow/python/data/kernel_tests:shuffle_test                       PASSED in 60.8s
  Stats over 8 runs: max = 60.8s, min = 21.5s, avg = 30.7s, dev = 11.6s
//tensorflow/python/data/kernel_tests:tf_record_dataset_test             PASSED in 23.3s
  Stats over 8 runs: max = 23.3s, min = 13.5s, avg = 18.6s, dev = 2.9s
//tensorflow/python/distribute/failure_handling:failure_handler_test     PASSED in 75.4s
  Stats over 8 runs: max = 75.4s, min = 23.8s, avg = 46.7s, dev = 16.4s
//tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu              PASSED in 55.8s
  Stats over 8 runs: max = 55.8s, min = 30.6s, avg = 45.4s, dev = 7.9s
//tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 61.6s
  Stats over 8 runs: max = 61.6s, min = 44.4s, avg = 54.0s, dev = 6.3s
//tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 50.4s
  Stats over 8 runs: max = 50.4s, min = 29.9s, avg = 39.2s, dev = 6.8s
//tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu   PASSED in 58.6s
  Stats over 8 runs: max = 58.6s, min = 4.1s, avg = 14.5s, dev = 17.3s
//tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu       PASSED in 7.2s
  Stats over 8 runs: max = 7.2s, min = 6.6s, avg = 6.8s, dev = 0.2s
//tensorflow/python/kernel_tests/signal:fft_ops_test_cpu                 PASSED in 26.0s
  Stats over 8 runs: max = 26.0s, min = 8.4s, avg = 14.2s, dev = 6.2s
//tensorflow/python/ops/ragged:dynamic_ragged_shape_test                 PASSED in 45.6s
  Stats over 8 runs: max = 45.6s, min = 28.2s, avg = 35.5s, dev = 5.6s
//tensorflow/python/ops/ragged:ragged_tensor_test                        PASSED in 23.4s
  Stats over 8 runs: max = 23.4s, min = 11.5s, avg = 15.6s, dev = 3.3s
//tensorflow/python/distribute/failure_handling:gce_failure_handler_test  FLAKY, failed in 1 out of 9 in 97.6s
  Stats over 9 runs: max = 97.6s, min = 11.1s, avg = 40.3s, dev = 33.5s
  /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/distribute/failure_handling/gce_failure_handler_test/shard_3_of_8/test_attempts/attempt_1.log
//tensorflow/compiler/tests:bincount_op_test_cpu                         PASSED in 7.5s
  Stats over 10 runs: max = 7.5s, min = 4.5s, avg = 5.6s, dev = 0.8s
//tensorflow/compiler/tests:conv2d_test_cpu                              PASSED in 8.2s
  Stats over 10 runs: max = 8.2s, min = 7.3s, avg = 7.7s, dev = 0.3s
//tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test             PASSED in 7.0s
  Stats over 10 runs: max = 7.0s, min = 3.4s, avg = 5.0s, dev = 1.3s
//tensorflow/compiler/tests:random_ops_test_cpu                          PASSED in 14.5s
  Stats over 10 runs: max = 14.5s, min = 6.6s, avg = 10.0s, dev = 2.2s
//tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test         PASSED in 16.2s
  Stats over 10 runs: max = 16.2s, min = 8.5s, avg = 12.0s, dev = 2.4s
//tensorflow/compiler/tests:stateless_random_ops_test_cpu                PASSED in 64.9s
  Stats over 10 runs: max = 64.9s, min = 36.5s, avg = 50.2s, dev = 9.8s
//tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 65.8s
  Stats over 10 runs: max = 65.8s, min = 43.7s, avg = 52.9s, dev = 7.6s
//tensorflow/compiler/xla/client/lib:svd_test_cpu                        PASSED in 67.1s
  Stats over 10 runs: max = 67.1s, min = 10.0s, avg = 27.1s, dev = 20.9s
//tensorflow/compiler/xla/client/lib:tridiagonal_test_cpu                PASSED in 11.9s
  Stats over 10 runs: max = 11.9s, min = 9.7s, avg = 10.4s, dev = 0.8s
//tensorflow/compiler/xla/service/cpu:cpu_runtime_test                   PASSED in 12.5s
  Stats over 10 runs: max = 12.5s, min = 0.9s, avg = 9.3s, dev = 4.2s
//tensorflow/python/data/kernel_tests:rejection_resample_test            PASSED in 18.9s
  Stats over 10 runs: max = 18.9s, min = 5.3s, avg = 10.8s, dev = 4.0s
//tensorflow/python/distribute:input_lib_type_spec_test_2gpu             PASSED in 13.6s
  Stats over 10 runs: max = 13.6s, min = 3.9s, avg = 9.1s, dev = 2.6s
//tensorflow/python/distribute:input_lib_type_spec_test_cpu              PASSED in 48.1s
  Stats over 10 runs: max = 48.1s, min = 34.8s, avg = 41.3s, dev = 4.5s
//tensorflow/python/framework:config_vgpu_test_2gpu                      PASSED in 25.3s
  Stats over 10 runs: max = 25.3s, min = 20.1s, avg = 22.6s, dev = 1.8s
//tensorflow/python/framework:config_vgpu_test_cpu                       PASSED in 7.4s
  Stats over 10 runs: max = 7.4s, min = 6.3s, avg = 6.7s, dev = 0.4s
//tensorflow/python/framework:function_test_cpu                          PASSED in 60.8s
  Stats over 10 runs: max = 60.8s, min = 5.5s, avg = 13.3s, dev = 16.0s
//tensorflow/python/grappler:cluster_test_cpu                            PASSED in 8.2s
  Stats over 10 runs: max = 8.2s, min = 4.1s, avg = 6.8s, dev = 1.4s
//tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu            PASSED in 12.6s
  Stats over 10 runs: max = 12.6s, min = 8.4s, avg = 10.4s, dev = 1.3s
//tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu          PASSED in 7.4s
  Stats over 10 runs: max = 7.4s, min = 6.7s, avg = 7.1s, dev = 0.2s
//tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 45.2s
  Stats over 10 runs: max = 45.2s, min = 34.6s, avg = 39.1s, dev = 3.6s
//tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 72.2s
  Stats over 10 runs: max = 72.2s, min = 66.3s, avg = 69.1s, dev = 1.9s
//tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu   PASSED in 127.4s
  Stats over 10 runs: max = 127.4s, min = 3.2s, avg = 18.3s, dev = 36.4s
//tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 37.3s
  Stats over 10 runs: max = 37.3s, min = 10.1s, avg = 23.3s, dev = 8.4s
//tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 27.2s
  Stats over 10 runs: max = 27.2s, min = 8.6s, avg = 16.3s, dev = 7.2s
//tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu             PASSED in 23.1s
  Stats over 10 runs: max = 23.1s, min = 6.2s, avg = 10.7s, dev = 5.7s
//tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu                     PASSED in 16.0s
  Stats over 10 runs: max = 16.0s, min = 12.5s, avg = 13.8s, dev = 1.0s
//tensorflow/python/kernel_tests/random:random_index_shuffle_test        PASSED in 9.0s
  Stats over 10 runs: max = 9.0s, min = 5.5s, avg = 7.3s, dev = 1.0s
//tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu    PASSED in 103.6s
  Stats over 10 runs: max = 103.6s, min = 20.6s, avg = 61.7s, dev = 39.7s
//tensorflow/python/ops:special_math_ops_test_cpu                        PASSED in 42.6s
  Stats over 10 runs: max = 42.6s, min = 8.2s, avg = 13.4s, dev = 9.9s
//tensorflow/python/ops/numpy_ops/tests:np_indexing_test                 PASSED in 80.6s
  Stats over 10 runs: max = 80.6s, min = 70.8s, avg = 76.1s, dev = 2.9s
//tensorflow/python/ops/ragged:ragged_tensor_supported_values_test       PASSED in 16.4s
  Stats over 10 runs: max = 16.4s, min = 13.1s, avg = 14.9s, dev = 0.9s
//tensorflow/python/saved_model:load_test_cpu                            PASSED in 53.0s
  Stats over 10 runs: max = 53.0s, min = 32.7s, avg = 37.0s, dev = 5.6s
//tensorflow/dtensor/python/tests:input_util_test                         FLAKY, failed in 2 out of 10 in 30.2s
  Stats over 10 runs: max = 30.2s, min = 16.6s, avg = 23.1s, dev = 4.5s
  /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/dtensor/python/tests/input_util_test/shard_1_of_8/test_attempts/attempt_1.log
  /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/dtensor/python/tests/input_util_test/shard_1_of_8/test_attempts/attempt_2.log
//tensorflow/compiler/tests:fft_test_cpu                                 PASSED in 23.2s
  Stats over 12 runs: max = 23.2s, min = 7.6s, avg = 13.8s, dev = 5.4s
//tensorflow/compiler/xla/service:triangular_solve_expander_test         PASSED in 5.5s
  Stats over 12 runs: max = 5.5s, min = 2.5s, avg = 4.0s, dev = 0.9s
//tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 16.7s
  Stats over 12 runs: max = 16.7s, min = 5.2s, avg = 9.8s, dev = 3.9s
//tensorflow/python/data/kernel_tests:choose_from_datasets_test          PASSED in 15.0s
  Stats over 12 runs: max = 15.0s, min = 11.1s, avg = 12.9s, dev = 1.0s
//tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu            PASSED in 9.1s
  Stats over 12 runs: max = 9.1s, min = 3.2s, avg = 5.9s, dev = 2.0s
//tensorflow/python/distribute:multi_process_runner_test_2gpu            PASSED in 221.5s
  Stats over 12 runs: max = 221.5s, min = 12.3s, avg = 48.6s, dev = 57.9s
//tensorflow/python/distribute:multi_process_runner_test_cpu             PASSED in 276.7s
  Stats over 12 runs: max = 276.7s, min = 64.1s, avg = 101.4s, dev = 58.7s
//tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 18.4s
  Stats over 15 runs: max = 18.4s, min = 12.2s, avg = 14.9s, dev = 1.5s
//tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 69.8s
  Stats over 15 runs: max = 69.8s, min = 60.1s, avg = 65.1s, dev = 3.1s
//tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu                PASSED in 41.3s
  Stats over 15 runs: max = 41.3s, min = 9.2s, avg = 14.6s, dev = 8.4s
//tensorflow/compiler/tests:ftrl_test_cpu                                PASSED in 8.4s
  Stats over 16 runs: max = 8.4s, min = 3.9s, avg = 6.3s, dev = 1.4s
//tensorflow/compiler/tests:ternary_ops_test_cpu                         PASSED in 9.0s
  Stats over 16 runs: max = 9.0s, min = 3.6s, avg = 6.8s, dev = 1.7s
//tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test        PASSED in 13.1s
  Stats over 16 runs: max = 13.1s, min = 6.0s, avg = 8.1s, dev = 1.8s
//tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 13.6s
  Stats over 16 runs: max = 13.6s, min = 6.0s, avg = 9.6s, dev = 2.4s
//tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 25.0s
  Stats over 16 runs: max = 25.0s, min = 3.7s, avg = 11.3s, dev = 5.2s
//tensorflow/python/data/kernel_tests:snapshot_test                      PASSED in 29.0s
  Stats over 16 runs: max = 29.0s, min = 9.8s, avg = 17.5s, dev = 4.9s
//tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 22.6s
  Stats over 16 runs: max = 22.6s, min = 3.8s, avg = 7.4s, dev = 4.2s
//tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test       PASSED in 10.1s
  Stats over 16 runs: max = 10.1s, min = 4.1s, avg = 6.9s, dev = 1.7s
//tensorflow/python/kernel_tests/signal:dct_ops_test_cpu                 PASSED in 16.5s
  Stats over 16 runs: max = 16.5s, min = 10.6s, avg = 13.1s, dev = 1.7s
//tensorflow/python/ops:image_ops_test_cpu                               PASSED in 23.5s
  Stats over 16 runs: max = 23.5s, min = 10.4s, avg = 15.1s, dev = 3.6s
//tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu           PASSED in 59.3s
  Stats over 16 runs: max = 59.3s, min = 10.5s, avg = 20.1s, dev = 10.9s
//tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 11.7s
  Stats over 17 runs: max = 11.7s, min = 5.1s, avg = 8.4s, dev = 2.0s
//tensorflow/python/data/kernel_tests:map_test                           PASSED in 48.3s
  Stats over 19 runs: max = 48.3s, min = 22.8s, avg = 30.9s, dev = 6.1s
//tensorflow/compiler/tests:pooling_ops_3d_test_cpu                      PASSED in 7.3s
  Stats over 20 runs: max = 7.3s, min = 3.5s, avg = 4.8s, dev = 1.1s
//tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test     PASSED in 7.0s
  Stats over 20 runs: max = 7.0s, min = 3.1s, avg = 4.7s, dev = 1.3s
//tensorflow/compiler/tests:pooling_ops_test_cpu                         PASSED in 8.5s
  Stats over 20 runs: max = 8.5s, min = 3.6s, avg = 5.8s, dev = 1.2s
//tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test        PASSED in 13.0s
  Stats over 20 runs: max = 13.0s, min = 2.9s, avg = 5.2s, dev = 2.5s
//tensorflow/compiler/xla/tests:convolution_dimension_numbers_test_cpu   PASSED in 19.2s
  Stats over 20 runs: max = 19.2s, min = 12.7s, avg = 14.6s, dev = 1.8s
//tensorflow/compiler/xla/tests:dot_operation_single_threaded_runtime_test_cpu PASSED in 24.6s
  Stats over 20 runs: max = 24.6s, min = 18.2s, avg = 21.1s, dev = 1.7s
//tensorflow/compiler/xla/tests:dot_operation_test_cpu                   PASSED in 23.1s
  Stats over 20 runs: max = 23.1s, min = 16.8s, avg = 18.6s, dev = 1.4s
//tensorflow/compiler/xla/tests:prng_test_cpu                            PASSED in 14.8s
  Stats over 20 runs: max = 14.8s, min = 8.9s, avg = 11.4s, dev = 1.9s
//tensorflow/compiler/xla/tests:reduce_window_test_cpu                   PASSED in 42.4s
  Stats over 20 runs: max = 42.4s, min = 8.8s, avg = 18.2s, dev = 10.5s
//tensorflow/python/autograph/tests:loop_control_flow_test               PASSED in 20.7s
  Stats over 20 runs: max = 20.7s, min = 15.3s, avg = 17.7s, dev = 1.4s
//tensorflow/python/kernel_tests:metrics_test                            PASSED in 39.7s
  Stats over 20 runs: max = 39.7s, min = 7.5s, avg = 18.6s, dev = 9.2s
//tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu  PASSED in 8.4s
  Stats over 20 runs: max = 8.4s, min = 3.8s, avg = 6.9s, dev = 1.2s
//tensorflow/python/kernel_tests/data_structures:barrier_ops_test        PASSED in 13.7s
  Stats over 20 runs: max = 13.7s, min = 3.1s, avg = 6.5s, dev = 2.6s
//tensorflow/python/kernel_tests/linalg:eig_op_test                      PASSED in 38.4s
  Stats over 20 runs: max = 38.4s, min = 3.7s, avg = 12.5s, dev = 11.3s
//tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu             PASSED in 108.3s
  Stats over 20 runs: max = 108.3s, min = 33.4s, avg = 65.2s, dev = 23.3s
//tensorflow/python/kernel_tests/linalg:norm_op_test_cpu                 PASSED in 8.2s
  Stats over 20 runs: max = 8.2s, min = 4.1s, avg = 6.5s, dev = 1.4s
//tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu            PASSED in 12.0s
  Stats over 20 runs: max = 12.0s, min = 4.9s, avg = 8.4s, dev = 2.2s
//tensorflow/python/kernel_tests/linalg:qr_op_test_cpu                   PASSED in 158.5s
  Stats over 20 runs: max = 158.5s, min = 31.2s, avg = 88.4s, dev = 34.4s
//tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu     PASSED in 19.4s
  Stats over 20 runs: max = 19.4s, min = 3.5s, avg = 9.7s, dev = 5.0s
//tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu       PASSED in 24.8s
  Stats over 20 runs: max = 24.8s, min = 5.5s, avg = 14.9s, dev = 6.9s
//tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu             PASSED in 18.1s
  Stats over 20 runs: max = 18.1s, min = 13.7s, avg = 16.4s, dev = 1.1s
//tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu          PASSED in 79.3s
  Stats over 20 runs: max = 79.3s, min = 6.1s, avg = 30.5s, dev = 22.1s
//tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu           PASSED in 17.0s
  Stats over 20 runs: max = 17.0s, min = 9.5s, avg = 12.5s, dev = 2.1s
//tensorflow/python/data/experimental/kernel_tests/service:local_workers_test PASSED in 23.3s
  Stats over 24 runs: max = 23.3s, min = 8.9s, avg = 16.6s, dev = 3.9s
//tensorflow/python/data/kernel_tests:interleave_test                    PASSED in 24.1s
  Stats over 24 runs: max = 24.1s, min = 8.8s, avg = 14.9s, dev = 4.3s
//tensorflow/python/data/kernel_tests:sample_from_datasets_test          PASSED in 16.0s
  Stats over 24 runs: max = 16.0s, min = 3.5s, avg = 10.3s, dev = 3.6s
//tensorflow/compiler/xla/tests:array_elementwise_ops_test_cpu           PASSED in 14.1s
  Stats over 25 runs: max = 14.1s, min = 9.9s, avg = 11.2s, dev = 1.0s
//tensorflow/compiler/xla/tests:select_and_scatter_test_cpu              PASSED in 41.3s
  Stats over 25 runs: max = 41.3s, min = 11.1s, avg = 16.6s, dev = 7.2s
//tensorflow/compiler/xla/tests:convolution_variants_test_cpu            PASSED in 17.0s
  Stats over 30 runs: max = 17.0s, min = 9.9s, avg = 12.0s, dev = 1.7s
//tensorflow/compiler/xla/tests:iota_test_cpu                            PASSED in 15.6s
  Stats over 30 runs: max = 15.6s, min = 13.8s, avg = 14.7s, dev = 0.6s
//tensorflow/compiler/xla/tests:params_test_cpu                          PASSED in 12.8s
  Stats over 30 runs: max = 12.8s, min = 10.7s, avg = 11.8s, dev = 0.6s
//tensorflow/compiler/xla/tests:reshape_test_cpu                         PASSED in 11.8s
  Stats over 30 runs: max = 11.8s, min = 9.5s, avg = 10.5s, dev = 0.6s
//tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu             PASSED in 24.1s
  Stats over 30 runs: max = 24.1s, min = 3.3s, avg = 9.8s, dev = 6.0s
//tensorflow/compiler/xla/tests:reduce_test_cpu                          PASSED in 15.6s
  Stats over 31 runs: max = 15.6s, min = 13.0s, avg = 14.4s, dev = 0.8s
//tensorflow/compiler/xla/tests:scalar_computations_test_cpu             PASSED in 15.0s
  Stats over 32 runs: max = 15.0s, min = 11.8s, avg = 12.9s, dev = 0.7s
//tensorflow/python/data/experimental/kernel_tests/service:auto_shard_test PASSED in 17.0s
  Stats over 32 runs: max = 17.0s, min = 4.2s, avg = 12.1s, dev = 3.6s
//tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 22.4s
  Stats over 32 runs: max = 22.4s, min = 4.0s, avg = 9.1s, dev = 4.3s
//tensorflow/compiler/xla/tests:batch_normalization_test_cpu             PASSED in 20.3s
  Stats over 40 runs: max = 20.3s, min = 11.9s, avg = 14.4s, dev = 1.5s
//tensorflow/compiler/xla/tests:bfloat16_test_cpu                        PASSED in 17.0s
  Stats over 40 runs: max = 17.0s, min = 10.0s, avg = 12.6s, dev = 1.7s
//tensorflow/compiler/xla/tests:conv_depthwise_backprop_filter_test_cpu  PASSED in 15.2s
  Stats over 40 runs: max = 15.2s, min = 11.0s, avg = 12.6s, dev = 0.9s
//tensorflow/compiler/xla/tests:slice_test_cpu                           PASSED in 19.2s
  Stats over 40 runs: max = 19.2s, min = 10.8s, avg = 13.9s, dev = 1.7s
//tensorflow/core/kernels:stochastic_cast_op_test                        PASSED in 1.9s
  Stats over 48 runs: max = 1.9s, min = 0.4s, avg = 0.7s, dev = 0.3s
//tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 79.0s
  Stats over 50 runs: max = 79.0s, min = 18.0s, avg = 36.4s, dev = 14.3s
//tensorflow/compiler/tests:sort_ops_test_cpu                            PASSED in 42.0s
  Stats over 50 runs: max = 42.0s, min = 3.0s, avg = 10.2s, dev = 8.1s
//tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test           PASSED in 48.9s
  Stats over 50 runs: max = 48.9s, min = 3.1s, avg = 14.1s, dev = 10.2s
//tensorflow/compiler/tests:unary_ops_test_cpu                           PASSED in 24.0s
  Stats over 50 runs: max = 24.0s, min = 3.0s, avg = 6.0s, dev = 4.2s
//tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test          PASSED in 26.9s
  Stats over 50 runs: max = 26.9s, min = 2.9s, avg = 5.5s, dev = 4.6s
//tensorflow/compiler/xla/tests:conv_depthwise_test_cpu                  PASSED in 15.4s
  Stats over 50 runs: max = 15.4s, min = 10.0s, avg = 12.9s, dev = 1.1s
//tensorflow/compiler/xla/tests:convolution_test_1d_no_vmodule_cpu       PASSED in 20.3s
  Stats over 50 runs: max = 20.3s, min = 15.2s, avg = 18.5s, dev = 1.2s
//tensorflow/compiler/xla/tests:convolution_test_cpu                     PASSED in 24.9s
  Stats over 50 runs: max = 24.9s, min = 14.8s, avg = 20.2s, dev = 2.3s
//tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 16.0s
  Stats over 50 runs: max = 16.0s, min = 3.8s, avg = 9.2s, dev = 3.7s
//tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 6.9s
  Stats over 50 runs: max = 6.9s, min = 3.2s, avg = 4.0s, dev = 0.8s
//tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 6.8s
  Stats over 50 runs: max = 6.8s, min = 3.2s, avg = 4.1s, dev = 1.0s
//tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu      PASSED in 46.6s
  Stats over 50 runs: max = 46.6s, min = 7.8s, avg = 21.3s, dev = 10.1s
//tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu             PASSED in 14.0s
  Stats over 50 runs: max = 14.0s, min = 3.3s, avg = 4.9s, dev = 1.8s
//tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu       PASSED in 12.9s
  Stats over 50 runs: max = 12.9s, min = 3.0s, avg = 4.7s, dev = 2.2s

Executed 3754 out of 3754 tests: 3754 tests pass.
There were tests whose specified size is too big. Use the --test_verbose_timeout_warnings command line option to see which ones these are.