==================== Test output for //tensorflow/python/distribute/failure_handling:gce_failure_handler_test (shard 7 of 8): Running tests under Python 3.11.3: /usr/local/bin/python3 [ RUN ] GceFailureHandlingTest.test_basic_run_test_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 23898 I0418 22:06:42.140925 281473314747264 test_util.py:3794] Using local port 23898 INFO:tensorflow:Using local port 17297 I0418 22:06:42.141568 281473314747264 test_util.py:3794] Using local port 17297 INFO:tensorflow:Using local port 24969 I0418 22:06:42.141945 281473314747264 test_util.py:3794] Using local port 24969 INFO:tensorflow:Using local port 24275 I0418 22:06:42.142304 281473314747264 test_util.py:3794] Using local port 24275 INFO:tensorflow:Cluster starting. I0418 22:06:45.385186 281473314747264 gce_failure_handler_test.py:317] Cluster starting. [worker-0]: I0418 22:06:45.427888 281473553232768 multi_process_runner.py:840] Subprocess with PID 2163342 (worker, 0) is now being started. [worker-0]: I0418 22:06:45.428251 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23898", "localhost:17297", "localhost:24969", "localhost:24275"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0418 22:06:45.454713 281473553232768 multi_process_runner.py:840] Subprocess with PID 2163365 (worker, 1) is now being started. [worker-2]: I0418 22:06:45.455202 281473553232768 multi_process_runner.py:840] Subprocess with PID 2163410 (worker, 2) is now being started. [worker-3]: I0418 22:06:45.455076 281473553232768 multi_process_runner.py:840] Subprocess with PID 2163464 (worker, 3) is now being started. [worker-1]: I0418 22:06:45.455063 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23898", "localhost:17297", "localhost:24969", "localhost:24275"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0418 22:06:45.455524 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23898", "localhost:17297", "localhost:24969", "localhost:24275"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0418 22:06:45.455390 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:23898", "localhost:17297", "localhost:24969", "localhost:24275"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-1]: 2023-04-18 22:06:45.523660: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17297 [worker-0]: 2023-04-18 22:06:45.576674: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23898 [worker-0]: 2023-04-18 22:06:45.640014: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 10256953087909196843 [worker-1]: 2023-04-18 22:06:45.640625: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:06:45.640838: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 2207044341737229810 [worker-0]: 2023-04-18 22:06:45.641030: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: 2023-04-18 22:06:45.643891: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:24969 [worker-3]: 2023-04-18 22:06:45.677039: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:24275 [worker-0]: 2023-04-18 22:06:45.686463: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 6759984025191400660 [worker-3]: 2023-04-18 22:06:45.686746: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:06:45.726497: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 848974228762875797 [worker-2]: 2023-04-18 22:06:45.727244: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [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]: I0418 22:06:45.730930 281473553232768 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-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]: I0418 22:06:45.768238 281473553232768 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]: I0418 22:06:45.748070 281473553232768 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: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]: I0418 22:06:45.796808 281473553232768 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]: I0418 22:06:45.925242 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0418 22:06:45.925682 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23898', 'localhost:17297', 'localhost:24969', 'localhost:24275']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0418 22:06:45.925883 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23898', 'localhost:17297', 'localhost:24969', 'localhost:24275']}, 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]: I0418 22:06:45.936161 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0418 22:06:45.937222 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23898', 'localhost:17297', 'localhost:24969', 'localhost:24275']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0418 22:06:45.937861 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23898', 'localhost:17297', 'localhost:24969', 'localhost:24275']}, 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]: I0418 22:06:45.957992 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0418 22:06:45.959077 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23898', 'localhost:17297', 'localhost:24969', 'localhost:24275']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0418 22:06:45.959714 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23898', 'localhost:17297', 'localhost:24969', 'localhost:24275']}, 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]: I0418 22:06:45.990826 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0418 22:06:45.991967 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23898', 'localhost:17297', 'localhost:24969', 'localhost:24275']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0418 22:06:45.992606 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:23898', 'localhost:17297', 'localhost:24969', 'localhost:24275']}, 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]: I0418 22:06:46.115839 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0418 22:06:46.133301 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0418 22:06:46.136602 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0418 22:06:46.146642 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0418 22:06:46.137173 281473553232768 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]: W0418 22:06:46.137414 281473553232768 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]: I0418 22:06:46.137563 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0418 22:06:46.166244 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-1]: I0418 22:06:46.166073 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-3]: I0418 22:06:46.167635 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0418 22:06:46.186350 281473553232768 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]: W0418 22:06:46.186689 281473553232768 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]: I0418 22:06:46.186841 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0418 22:06:46.194780 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0418 22:06:46.195287 281473553232768 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]: W0418 22:06:46.195530 281473553232768 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]: I0418 22:06:46.195675 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: I0418 22:06:46.186349 281473553232768 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]: W0418 22:06:46.186691 281473553232768 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]: I0418 22:06:46.186846 281473553232768 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]: I0418 22:06:46.236628 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.274615 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.308015 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.306419 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.465518 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.474545 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:06:46.474628 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.475872 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.524179 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.544064 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.548236 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.579952 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.643678 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:06:46.643781 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.649025 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.677323 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.739059 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.753569 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.760214 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.762794 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7326980> 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]: W0418 22:06:46.834113 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7326980> 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 .wrapped_fn at 0xffffa7325800> 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]: W0418 22:06:46.836866 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7325800> 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 .wrapped_fn at 0xffffa7326840> 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]: W0418 22:06:46.838084 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7326840> 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]: I0418 22:06:46.844994 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7322160> 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]: W0418 22:06:46.846370 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7322160> 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]: I0418 22:06:46.843530 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.847498 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.877207 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa73271a0> 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 .wrapped_fn at 0xffffa7325d00> 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 .wrapped_fn at 0xffffa7325c60> 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]: W0418 22:06:46.929709 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa73271a0> 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]: W0418 22:06:46.929303 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325d00> 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]: W0418 22:06:46.929911 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325c60> 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-3]: INFO:tensorflow:epoch 0 finished [worker-1]: INFO:tensorflow:epoch 0 finished [worker-2]: I0418 22:06:46.929997 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: I0418 22:06:46.929582 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: I0418 22:06:46.930201 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-0]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffffa73219e0> 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]: W0418 22:06:46.933980 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa73219e0> 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]: I0418 22:06:46.934261 281473553232768 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]: I0418 22:06:46.936674 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.940905 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:06:46.936398 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.936942 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.986951 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.992494 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.992862 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:46.993525 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.040905 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.043244 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.043060 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.063639 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.147617 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.154028 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.157619 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, 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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]: I0418 22:06:47.637248 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.696929 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.705880 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.712145 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.727368 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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22:06:47.939762 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:47.958379 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:48.079731 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: 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= 1 [worker-0]: I0418 22:06:48.923344 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:06:48.923422 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:48.945081 281473553232768 cross_device_ops.py:1151] 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-0]: INFO:tensorflow:epoch 3 finished [worker-0]: I0418 22:06:48.988339 281473553232768 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281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:06:48.993973 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:06:49.000825 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:49.000798 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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22:06:49.227521 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:49.362645 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:49.383185 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:49.390304 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:49.413069 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:49.477411 281473553232768 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all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:06:49.499651 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:49.565583 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:49.566465 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:49.579489 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:49.597240 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 4 finished [worker-0]: I0418 22:06:49.682904 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: INFO:tensorflow:Training finished. [worker-0]: I0418 22:06:49.683172 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-3]: INFO:tensorflow:epoch 4 finished [worker-3]: I0418 22:06:49.686463 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-3]: I0418 22:06:49.686703 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:epoch 4 finished [worker-1]: I0418 22:06:49.696830 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0418 22:06:49.697105 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-2]: INFO:tensorflow:epoch 4 finished [worker-2]: I0418 22:06:49.697103 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: INFO:tensorflow:Training finished. [worker-2]: I0418 22:06:49.697358 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-3]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-3]: I0418 22:06:49.706399 281473553232768 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]: I0418 22:06:49.720518 281473553232768 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-0]: INFO:tensorflow:Shut down watcher for one's own termination signal [worker-0]: I0418 22:06:50.194870 281473553232768 failure_handling.py:737] Shut down watcher for one's own termination signal [worker-3]: INFO:tensorflow:Shut down watcher for one's own termination signal [worker-3]: I0418 22:06:50.267280 281473553232768 failure_handling.py:737] Shut down watcher for one's own termination signal I0418 22:06:53.467336 281473314747264 multi_process_runner.py:646] worker-0 exit code: 0 I0418 22:06:53.467568 281473314747264 multi_process_runner.py:646] worker-1 exit code: 0 I0418 22:06:53.467707 281473314747264 multi_process_runner.py:646] worker-2 exit code: 0 I0418 22:06:53.467850 281473314747264 multi_process_runner.py:646] worker-3 exit code: 0 I0418 22:06:53.469566 281473314747264 multi_process_runner.py:662] Joining log reading threads. I0418 22:06:53.469743 281473314747264 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_basic_run_test_inputarg_manager_strategyoption_MWMSmultiworker): 11.51s I0418 22:06:53.631884 281473314747264 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_basic_run_test_inputarg_manager_strategyoption_MWMSmultiworker): 11.51s [ OK ] GceFailureHandlingTest.test_basic_run_test_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using MirroredStrategy with devices ('/device:CPU:0',) I0418 22:06:53.746696 281473314747264 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/device:CPU:0',) INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO I0418 22:06:53.747106 281473314747264 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. I0418 22:06:53.763106 281473314747264 failure_handling.py:683] Start polling for termination signal. INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. I0418 22:06:53.776597 281473314747264 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. W0418 22:06:53.776959 281473314747264 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 I0418 22:06:53.777122 281473314747264 gce_failure_handler_test.py:194] Start training at 0 WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xfffef2413b00> 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. W0418 22:06:54.016817 281473314747264 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xfffef2413b00> 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 .wrapped_fn at 0xfffef2413ce0> 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. W0418 22:06:54.039575 281473314747264 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xfffef2413ce0> 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 I0418 22:06:54.039891 281473314747264 gce_failure_handler_test.py:192] epoch 0 finished INFO:tensorflow:epoch 1 finished I0418 22:06:54.264199 281473314747264 gce_failure_handler_test.py:192] epoch 1 finished INFO:tensorflow:epoch 2 finished I0418 22:06:54.476541 281473314747264 gce_failure_handler_test.py:192] epoch 2 finished INFO:tensorflow:epoch 3 finished I0418 22:06:54.800157 281473314747264 gce_failure_handler_test.py:192] epoch 3 finished INFO:tensorflow:epoch 4 finished I0418 22:06:54.937033 281473314747264 gce_failure_handler_test.py:192] epoch 4 finished INFO:tensorflow:Training finished. I0418 22:06:54.937324 281473314747264 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker): 1.31s I0418 22:06:54.941820 281473314747264 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker): 1.31s [ OK ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using MirroredStrategy with devices ('/device:CPU:0',) I0418 22:06:54.950815 281473314747264 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/device:CPU:0',) INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:CPU:0',), communication = CommunicationImplementation.AUTO I0418 22:06:54.951113 281473314747264 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. I0418 22:06:54.963015 281473314747264 failure_handling.py:683] Start polling for termination signal. INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. I0418 22:06:54.963469 281473314747264 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. INFO:tensorflow:Start training at 0 I0418 22:06:54.963654 281473314747264 gce_failure_handler_test.py:194] Start training at 0 INFO:tensorflow:epoch 0 finished I0418 22:06:55.084176 281473314747264 gce_failure_handler_test.py:192] epoch 0 finished INFO:tensorflow:epoch 1 finished I0418 22:06:55.210133 281473314747264 gce_failure_handler_test.py:192] epoch 1 finished INFO:tensorflow:epoch 2 finished I0418 22:06:55.342108 281473314747264 gce_failure_handler_test.py:192] epoch 2 finished INFO:tensorflow:epoch 3 finished I0418 22:06:55.471547 281473314747264 gce_failure_handler_test.py:192] epoch 3 finished INFO:tensorflow:epoch 4 finished I0418 22:06:55.596659 281473314747264 gce_failure_handler_test.py:192] epoch 4 finished INFO:tensorflow:Training finished. I0418 22:06:55.596946 281473314747264 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker): 0.66s I0418 22:06:55.601270 281473314747264 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker): 0.66s [ OK ] GceFailureHandlingTest.test_grace_period_continue_training_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 18461 I0418 22:06:55.619825 281473314747264 test_util.py:3794] Using local port 18461 INFO:tensorflow:Using local port 15355 I0418 22:06:55.620280 281473314747264 test_util.py:3794] Using local port 15355 INFO:tensorflow:Using local port 19522 I0418 22:06:55.620635 281473314747264 test_util.py:3794] Using local port 19522 INFO:tensorflow:Using local port 18366 I0418 22:06:55.620978 281473314747264 test_util.py:3794] Using local port 18366 INFO:tensorflow:Cluster starting. I0418 22:06:55.638377 281473314747264 gce_failure_handler_test.py:405] Cluster starting. [worker-0]: I0418 22:06:55.677478 281473553232768 multi_process_runner.py:840] Subprocess with PID 2190256 (worker, 0) is now being started. [worker-0]: I0418 22:06:55.677891 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18461", "localhost:15355", "localhost:19522", "localhost:18366"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0418 22:06:55.695905 281473553232768 multi_process_runner.py:840] Subprocess with PID 2190262 (worker, 1) is now being started. [worker-1]: I0418 22:06:55.696323 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18461", "localhost:15355", "localhost:19522", "localhost:18366"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0418 22:06:55.700468 281473553232768 multi_process_runner.py:840] Subprocess with PID 2190267 (worker, 2) is now being started. [worker-2]: I0418 22:06:55.700906 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18461", "localhost:15355", "localhost:19522", "localhost:18366"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0418 22:06:55.705360 281473553232768 multi_process_runner.py:840] Subprocess with PID 2190272 (worker, 3) is now being started. [worker-3]: I0418 22:06:55.705777 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18461", "localhost:15355", "localhost:19522", "localhost:18366"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-18 22:06:55.714007: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:18461 [worker-0]: 2023-04-18 22:06:55.728290: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 12457903751116380248 [worker-0]: 2023-04-18 22:06:55.728563: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-1]: 2023-04-18 22:06:55.732877: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:15355 [worker-2]: 2023-04-18 22:06:55.738985: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:19522 [worker-0]: 2023-04-18 22:06:55.746088: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 8614363608727515547 [worker-1]: 2023-04-18 22:06:55.746380: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-18 22:06:55.750158: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:18366 [worker-0]: 2023-04-18 22:06:55.754164: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 17841956991067472111 [worker-2]: 2023-04-18 22:06:55.754435: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:06:55.757884: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 14112023084624537704 [worker-3]: 2023-04-18 22:06:55.758125: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] 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-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-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]: I0418 22:06:55.759794 281473553232768 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]: I0418 22:06:55.759874 281473553232768 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]: I0418 22:06:55.759903 281473553232768 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]: I0418 22:06:55.759929 281473553232768 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]: 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-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-3]: I0418 22:06:55.813823 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-2]: I0418 22:06:55.813743 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: I0418 22:06:55.813898 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-2]: INFO:tensorflow:Check health not enabled. [worker-1]: INFO:tensorflow:Check health not enabled. [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-3]: I0418 22:06:55.814330 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: I0418 22:06:55.814259 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: I0418 22:06:55.814441 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: I0418 22:06:55.814949 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0418 22:06:55.814465 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, 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:Check health not enabled. [worker-1]: I0418 22:06:55.814655 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0418 22:06:55.814538 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0418 22:06:55.815468 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0418 22:06:55.815681 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, 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:Start watcher for peer's signal. [worker-2]: I0418 22:06:55.922558 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0418 22:06:55.937147 281473553232768 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/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-2]: self.run() [worker-2]: File "/usr/lib/python3.11/threading.py", line 975, 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]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0418 22:06:55.938781 281473553232768 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]: W0418 22:06:55.939104 281473553232768 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]: I0418 22:06:55.939272 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: if self._termination_watcher_fn(): [worker-2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0418 22:06:55.939856 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0418 22:06:55.940710 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-1]: I0418 22:06:55.946511 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: Traceback (most recent call last): [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-0]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-1]: I0418 22:06:55.947257 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-0]: I0418 22:06:55.941156 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [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-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Traceback (most recent call last): [worker-0]: W0418 22:06:55.941553 281473553232768 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]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-1]: I0418 22:06:55.947705 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [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-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]: I0418 22:06:55.948888 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start training at 0 [worker-1]: Instructions for updating: [worker-0]: I0418 22:06:55.941846 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: self.run() [worker-0]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-1]: W0418 22:06:55.948495 281473553232768 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]: self._target(*self._args, **self._kwargs) [worker-1]: Instructions for updating: [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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: if self._termination_watcher_fn(): [worker-1]: INFO:tensorflow:Start training at 0 [worker-0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [worker-1]: I0418 22:06:55.948670 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [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]: self.run() [worker-0]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-0]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-1]: self._target(*self._args, **self._kwargs) [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-3]: I0418 22:06:55.958779 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: Traceback (most recent call last): [worker-3]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-3]: I0418 22:06:55.959404 281473553232768 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]: W0418 22:06:55.959867 281473553232768 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]: I0418 22:06:55.960095 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: self.run() [worker-3]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [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]: I0418 22:06:56.032505 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.034918 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.035564 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.047409 281473553232768 cross_device_ops.py:1151] 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-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:06:56.108482 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.108574 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:06:56.108619 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:06:56.109142 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.161726 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:06:56.161859 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.162795 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.161887 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.461309 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.446157 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.470562 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.490595 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.586997 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.596530 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.627240 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.637628 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7325a80> 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 .wrapped_fn at 0xffffa7326b60> 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]: W0418 22:06:56.679289 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7325a80> 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 .wrapped_fn at 0xffffa7326660> 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]: W0418 22:06:56.679538 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7326660> 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 .wrapped_fn at 0xffffa7326700> 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]: W0418 22:06:56.679497 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7326700> 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]: W0418 22:06:56.679491 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7326b60> 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]: I0418 22:06:56.686791 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.687325 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.690869 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.700247 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7327060> 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 .wrapped_fn at 0xffffa7325a80> 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 .wrapped_fn at 0xffffa7325da0> 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]: W0418 22:06:56.762721 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7327060> 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]: W0418 22:06:56.763032 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325a80> 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 .wrapped_fn at 0xffffa7325da0> 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-2]: W0418 22:06:56.763200 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325da0> 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]: W0418 22:06:56.763160 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325da0> 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]: I0418 22:06:56.763102 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-0]: I0418 22:06:56.763388 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: INFO:tensorflow:epoch 0 finished [worker-2]: I0418 22:06:56.763531 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: I0418 22:06:56.763545 281473553232768 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]: I0418 22:06:56.770291 281473553232768 cross_device_ops.py:1151] 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]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:06:56.771155 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:06:56.771196 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:06:56.771396 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.893711 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.894978 281473553232768 cross_device_ops.py:1151] 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 = 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= 1 [worker-0]: I0418 22:06:56.943573 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:06:56.943578 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.961973 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:56.970207 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:57.018922 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:06:57.019201 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:57.019654 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:57.020484 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:57.106415 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:57.135862 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:57.140242 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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22:06:57.203441 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:57.203933 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:57.204315 281473553232768 cross_device_ops.py:1151] 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-3]: I0418 22:06:57.245791 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: I0418 22:06:57.245880 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-2]: I0418 22:06:57.246103 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-1]: I0418 22:06:57.246079 281473553232768 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]: I0418 22:06:57.253021 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective 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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]: I0418 22:06:57.392201 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:57.431885 281473553232768 cross_device_ops.py:1151] 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 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I0418 22:06:59.282854 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:59.298860 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:59.305639 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 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281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:59.377758 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:06:59.465254 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: 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cross_device_ops.py:1151] 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-3]: I0418 22:06:59.557591 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: I0418 22:06:59.557764 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-3]: I0418 22:06:59.557881 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-0]: I0418 22:06:59.558035 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-2]: I0418 22:06:59.576740 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: I0418 22:06:59.576627 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: INFO:tensorflow:Training finished. [worker-2]: I0418 22:06:59.577002 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0418 22:06:59.576950 281473553232768 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0418 22:07:00.697759 281473314747264 gce_failure_handler_test.py:411] restarting workers [worker-0]: I0418 22:07:00.743926 281473553232768 multi_process_runner.py:840] Subprocess with PID 2196312 (worker, 0) is now being started. [worker-0]: I0418 22:07:00.744316 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18461", "localhost:15355", "localhost:19522", "localhost:18366"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' INFO:tensorflow:workers restarted I0418 22:07:00.776518 281473314747264 gce_failure_handler_test.py:415] workers restarted [worker-1]: I0418 22:07:00.847640 281473553232768 multi_process_runner.py:840] Subprocess with PID 2196319 (worker, 1) is now being started. [worker-1]: I0418 22:07:00.848074 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18461", "localhost:15355", "localhost:19522", "localhost:18366"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0418 22:07:00.929496 281473553232768 multi_process_runner.py:840] Subprocess with PID 2196361 (worker, 2) is now being started. [worker-3]: I0418 22:07:00.929753 281473553232768 multi_process_runner.py:840] Subprocess with PID 2196417 (worker, 3) is now being started. [worker-2]: I0418 22:07:00.929891 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18461", "localhost:15355", "localhost:19522", "localhost:18366"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0418 22:07:00.930155 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18461", "localhost:15355", "localhost:19522", "localhost:18366"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-2]: 2023-04-18 22:07:00.964046: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:19522 [worker-3]: 2023-04-18 22:07:00.964817: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:18366 [worker-0]: 2023-04-18 22:07:01.018900: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:18461 [worker-0]: 2023-04-18 22:07:01.022609: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 3789380676766058275 [worker-0]: 2023-04-18 22:07:01.022835: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-1]: 2023-04-18 22:07:01.061520: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:15355 [worker-0]: 2023-04-18 22:07:01.074214: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 16413343969370843135 [worker-1]: 2023-04-18 22:07:01.074515: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:07:01.987730: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 18421623741075614983 [worker-3]: 2023-04-18 22:07:01.988555: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:07:02.026334: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 15751049569301865097 [worker-2]: 2023-04-18 22:07:02.027271: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] 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]: I0418 22:07:02.048988 281473553232768 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: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-1]: I0418 22:07:02.076934 281473553232768 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-2]: I0418 22:07:02.057825 281473553232768 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]: I0418 22:07:02.077038 281473553232768 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-1]: I0418 22:07:02.134592 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0418 22:07:02.135561 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0418 22:07:02.135783 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, 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]: I0418 22:07:02.158063 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0418 22:07:02.158997 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0418 22:07:02.159233 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, 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]: I0418 22:07:02.162045 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0418 22:07:02.162685 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0418 22:07:02.162908 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, 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]: I0418 22:07:02.333926 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0418 22:07:02.334499 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0418 22:07:02.334713 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18461', 'localhost:15355', 'localhost:19522', 'localhost:18366']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0418 22:07:02.497528 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0418 22:07:02.505765 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0418 22:07:02.514729 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0418 22:07:02.515757 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0418 22:07:02.526536 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-3]: I0418 22:07:02.536350 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-1]: I0418 22:07:02.536584 281473553232768 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/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-0]: self.run() [worker-0]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0418 22:07:02.548932 281473553232768 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]: W0418 22:07:02.549355 281473553232768 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]: I0418 22:07:02.549518 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0418 22:07:02.556393 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-1]: Traceback (most recent call last): [worker-1]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-1]: self.run() [worker-1]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0418 22:07:02.557187 281473553232768 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]: W0418 22:07:02.557570 281473553232768 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]: I0418 22:07:02.557727 281473553232768 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/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-3]: self.run() [worker-3]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0418 22:07:02.586202 281473553232768 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]: W0418 22:07:02.586664 281473553232768 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]: I0418 22:07:02.586829 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-2]: Traceback (most recent call last): [worker-2]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-2]: self.run() [worker-2]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0418 22:07:02.588166 281473553232768 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]: W0418 22:07:02.588520 281473553232768 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]: I0418 22:07:02.588676 281473553232768 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-1]: 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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:02.717952 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:02.688282 281473553232768 cross_device_ops.py:1151] 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-3]: I0418 22:07:02.784305 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:02.745461 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:02.847842 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:02.851672 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:02.853741 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:02.846695 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:02.925436 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:02.924055 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:02.924070 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:02.949374 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.055472 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.061151 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.094376 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.095137 281473553232768 cross_device_ops.py:1151] 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-2]: I0418 22:07:03.161621 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.161633 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:03.161645 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:03.162227 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa73267a0> 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]: W0418 22:07:03.207740 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa73267a0> 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 .wrapped_fn at 0xffffa73254e0> 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]: W0418 22:07:03.212735 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa73254e0> 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 .wrapped_fn at 0xffffa73253a0> 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]: W0418 22:07:03.213410 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa73253a0> 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 .wrapped_fn at 0xffffa7326520> 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]: W0418 22:07:03.218187 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7326520> 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]: I0418 22:07:03.218708 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.220942 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:03.220667 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.240323 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7326c00> 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 .wrapped_fn at 0xffffa7325d00> 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 .wrapped_fn at 0xffffa7326b60> 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 .wrapped_fn at 0xffffa7326c00> 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]: W0418 22:07:03.288553 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325d00> 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]: W0418 22:07:03.288695 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7326b60> 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]: W0418 22:07:03.288285 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7326c00> 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]: W0418 22:07:03.288727 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7326c00> 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-3]: INFO:tensorflow:epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-0]: I0418 22:07:03.288947 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: I0418 22:07:03.289057 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: I0418 22:07:03.288681 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: I0418 22:07:03.289070 281473553232768 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-0]: I0418 22:07:03.296928 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.298205 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.296375 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.296090 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.384855 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.394594 281473553232768 cross_device_ops.py:1151] 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-3]: I0418 22:07:03.398085 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:03.400636 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.472550 281473553232768 cross_device_ops.py:1151] 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implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-0]: I0418 22:07:03.907491 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: I0418 22:07:03.907740 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-3]: INFO:tensorflow:epoch 1 finished [worker-3]: I0418 22:07:03.907279 281473553232768 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-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:03.915045 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:03.915276 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.915426 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.916547 281473553232768 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]: I0418 22:07:03.924045 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.979363 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:03.979881 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs 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Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:04.047033 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:04.110262 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:04.109965 281473553232768 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= 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]: I0418 22:07:04.597301 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:04.597370 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:04.597665 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:04.597611 281473553232768 cross_device_ops.py:1151] 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-1]: INFO:tensorflow:epoch 3 finished [worker-0]: INFO:tensorflow:epoch 3 finished [worker-3]: I0418 22:07:04.638485 281473553232768 gce_failure_handler_test.py:192] epoch 3 finished [worker-0]: I0418 22:07:04.638629 281473553232768 gce_failure_handler_test.py:192] epoch 3 finished [worker-2]: INFO:tensorflow:epoch 3 finished [worker-2]: I0418 22:07:04.638780 281473553232768 gce_failure_handler_test.py:192] epoch 3 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-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:04.645504 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:04.645678 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:04.646011 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:04.638737 281473553232768 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]: I0418 22:07:04.645601 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:04.693294 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:04.695668 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:04.693671 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:04.712260 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:04.780715 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:04.794898 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 INFO:tensorflow:Termination notice available. I0418 22:07:04.796215 281464004145632 gce_failure_handler_test.py:142] Termination notice available. --- Logging error --- Traceback (most recent call last): File "/usr/lib/python3.11/logging/__init__.py", line 1110, in emit msg = self.format(record) ^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 953, in format return fmt.format(record) ^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 687, in format record.message = record.getMessage() ^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 377, in getMessage msg = msg % self.args ~~~~^~~~~~~~~~~ TypeError: not all arguments converted during string formatting Call stack: File "/usr/lib/python3.11/threading.py", line 995, in _bootstrap self._bootstrap_inner() File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner self.run() File "/usr/lib/python3.11/threading.py", line 975, in run self._target(*self._args, **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/failure_handling.py", line 696, in _poll_termination_signal self._maybe_set_received_own_sigterm() 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 701, in _maybe_set_received_own_sigterm logging.info('Received termination notice.', 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/platform/tf_logging.py", line 204, in info get_logger().info(msg, *args, **kwargs) Message: 'Received termination notice.' Arguments: ('single_worker',) --- Logging error --- Traceback (most recent call last): File "/usr/lib/python3.11/logging/__init__.py", line 1110, in emit msg = self.format(record) ^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 953, in format return fmt.format(record) ^^^^^^^^^^^^^^^^^^ 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/logging/__init__.py", line 1025, in format return prefix + super(PythonFormatter, self).format(record) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 687, in format record.message = record.getMessage() ^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 377, in getMessage msg = msg % self.args ~~~~^~~~~~~~~~~ TypeError: not all arguments converted during string formatting Call stack: File "/usr/lib/python3.11/threading.py", line 995, in _bootstrap self._bootstrap_inner() File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner self.run() File "/usr/lib/python3.11/threading.py", line 975, in run self._target(*self._args, **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/failure_handling.py", line 696, in _poll_termination_signal self._maybe_set_received_own_sigterm() 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 701, in _maybe_set_received_own_sigterm logging.info('Received termination notice.', 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/platform/tf_logging.py", line 204, in info get_logger().info(msg, *args, **kwargs) File "/usr/lib/python3.11/logging/__init__.py", line 1489, in info self._log(INFO, msg, args, **kwargs) File "/usr/lib/python3.11/logging/__init__.py", line 1634, in _log self.handle(record) File "/usr/lib/python3.11/logging/__init__.py", line 1644, in handle self.callHandlers(record) File "/usr/lib/python3.11/logging/__init__.py", line 1706, in callHandlers hdlr.handle(record) 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/logging/__init__.py", line 988, in handle return self._current_handler.handle(record) File "/usr/lib/python3.11/logging/__init__.py", line 978, in handle self.emit(record) 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/logging/__init__.py", line 925, in emit super(PythonHandler, self).emit(record) Message: 'Received termination notice.' Arguments: ('single_worker',) Exception ignored in: 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/python3.11/threading.py", line 1109, in join raise RuntimeError("cannot join current thread") RuntimeError: cannot join current thread [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]: I0418 22:07:04.777288 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:04.811022 281473553232768 cross_device_ops.py:1151] 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 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Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:04.964480 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:05.034624 281473553232768 cross_device_ops.py:1151] 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 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[worker-0]: INFO:tensorflow:Training finished. [worker-3]: I0418 22:07:05.247827 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-0]: I0418 22:07:05.248153 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-2]: I0418 22:07:05.257131 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: INFO:tensorflow:Training finished. [worker-2]: I0418 22:07:05.257379 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-1]: I0418 22:07:05.256986 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0418 22:07:05.257297 281473553232768 gce_failure_handler_test.py:244] Training finished. I0418 22:07:05.726230 281473314747264 multi_process_runner.py:646] worker-0 exit code: 0 I0418 22:07:05.726452 281473314747264 multi_process_runner.py:646] worker-1 exit code: 0 I0418 22:07:05.726565 281473314747264 multi_process_runner.py:646] worker-2 exit code: 0 I0418 22:07:05.726668 281473314747264 multi_process_runner.py:646] worker-3 exit code: 0 I0418 22:07:05.729156 281473314747264 multi_process_runner.py:662] Joining log reading threads. I0418 22:07:05.729338 281473314747264 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_manager_strategyoption_MWMSmultiworker): 10.28s I0418 22:07:05.889027 281473314747264 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker): 10.28s [ OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 17930 I0418 22:07:05.890751 281473314747264 test_util.py:3794] Using local port 17930 INFO:tensorflow:Using local port 23526 I0418 22:07:05.891162 281473314747264 test_util.py:3794] Using local port 23526 INFO:tensorflow:Using local port 21138 I0418 22:07:05.891505 281473314747264 test_util.py:3794] Using local port 21138 INFO:tensorflow:Using local port 23544 I0418 22:07:05.891840 281473314747264 test_util.py:3794] Using local port 23544 INFO:tensorflow:Cluster starting. I0418 22:07:05.967933 281473314747264 gce_failure_handler_test.py:405] Cluster starting. [worker-0]: I0418 22:07:06.030827 281473553232768 multi_process_runner.py:840] Subprocess with PID 2214338 (worker, 0) is now being started. [worker-0]: I0418 22:07:06.031246 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17930", "localhost:23526", "localhost:21138", "localhost:23544"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0418 22:07:06.055890 281473553232768 multi_process_runner.py:840] Subprocess with PID 2214742 (worker, 1) is now being started. [worker-0]: 2023-04-18 22:07:06.065675: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17930 [worker-1]: I0418 22:07:06.056313 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17930", "localhost:23526", "localhost:21138", "localhost:23544"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-18 22:07:06.089433: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 5927375412139518307 [worker-0]: 2023-04-18 22:07:06.089675: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: I0418 22:07:06.197713 281473553232768 multi_process_runner.py:840] Subprocess with PID 2215031 (worker, 2) is now being started. [worker-3]: I0418 22:07:06.217741 281473553232768 multi_process_runner.py:840] Subprocess with PID 2215206 (worker, 3) is now being started. [worker-0]: 2023-04-18 22:07:06.233112: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 11008334129293721095 [worker-1]: 2023-04-18 22:07:06.229229: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23526 [worker-1]: 2023-04-18 22:07:06.233690: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: I0418 22:07:06.198106 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17930", "localhost:23526", "localhost:21138", "localhost:23544"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0418 22:07:06.218118 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17930", "localhost:23526", "localhost:21138", "localhost:23544"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-2]: 2023-04-18 22:07:06.420609: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:21138 [worker-0]: 2023-04-18 22:07:06.426355: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 8928228492675173198 [worker-2]: 2023-04-18 22:07:06.426803: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-18 22:07:06.477214: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23544 [worker-0]: 2023-04-18 22:07:06.516422: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 9531391277896072787 [worker-3]: 2023-04-18 22:07:06.553835: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] 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]: I0418 22:07:06.589375 281473553232768 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]: I0418 22:07:06.589263 281473553232768 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]: I0418 22:07:06.597361 281473553232768 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]: 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]: I0418 22:07:06.607586 281473553232768 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-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: I0418 22:07:06.794519 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0418 22:07:06.795753 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0418 22:07:06.795969 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, 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]: I0418 22:07:06.820351 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0418 22:07:06.820786 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0418 22:07:06.820986 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, 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]: I0418 22:07:07.169858 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0418 22:07:07.171133 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0418 22:07:07.171803 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, 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]: I0418 22:07:07.247157 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0418 22:07:07.247653 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0418 22:07:07.247862 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, 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]: I0418 22:07:07.591377 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0418 22:07:07.592086 281473553232768 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/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-0]: I0418 22:07:07.592499 281473553232768 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]: W0418 22:07:07.592881 281473553232768 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]: I0418 22:07:07.593094 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: self.run() [worker-0]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0418 22:07:07.601517 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0418 22:07:07.602197 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-0]: elif frequent_send and not maintenance_event.is_set(): [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-0]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0418 22:07:07.613415 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: Traceback (most recent call last): [worker-1]: I0418 22:07:07.613565 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0418 22:07:07.602616 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: I0418 22:07:07.614388 281473553232768 failure_handling.py:683] Start polling for termination signal. [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]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-2]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: W0418 22:07:07.602992 281473553232768 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]: Traceback (most recent call last): [worker-2]: Instructions for updating: [worker-3]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: I0418 22:07:07.614836 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: INFO:tensorflow:Start training at 0 [worker-2]: I0418 22:07:07.603150 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [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]: self.run() [worker-2]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: Instructions for updating: [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: W0418 22:07:07.615241 281473553232768 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]: I0418 22:07:07.615447 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: self.run() [worker-3]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0418 22:07:07.656321 281473553232768 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/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-1]: self.run() [worker-1]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0418 22:07:07.686285 281473553232768 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]: W0418 22:07:07.686728 281473553232768 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]: I0418 22:07:07.686890 281473553232768 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]: I0418 22:07:07.887761 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:07.907339 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:07.917845 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:07.937902 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.054723 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.057101 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.078373 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.079897 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.274667 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.290191 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.290069 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.310317 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.615910 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.633988 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:08.630144 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.630063 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.748013 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.764060 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:08.760170 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:08.801413 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa732a7a0> 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 .wrapped_fn at 0xffffa732a5c0> 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 .wrapped_fn at 0xffffa7328fe0> 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]: W0418 22:07:08.986597 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7328fe0> 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 .wrapped_fn at 0xffffa73298a0> 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]: W0418 22:07:08.986943 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa73298a0> 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]: W0418 22:07:08.982014 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa732a5c0> 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]: W0418 22:07:08.976992 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa732a7a0> 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]: I0418 22:07:08.999884 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.019906 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.019416 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.037475 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa732ae80> 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]: W0418 22:07:09.249388 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa732ae80> 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]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffffa732b1a0> 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]: W0418 22:07:09.255465 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa732b1a0> 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]: I0418 22:07:09.255792 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: I0418 22:07:09.249706 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffffa7329800> 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]: W0418 22:07:09.261996 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7329800> 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]: I0418 22:07:09.262300 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffffa732ac00> 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]: W0418 22:07:09.268382 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa732ac00> 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]: I0418 22:07:09.268718 281473553232768 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]: I0418 22:07:09.272456 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.289952 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.293437 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.280217 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.409354 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.423284 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.420206 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.428188 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.565680 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.570939 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.590331 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.612537 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.700238 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:09.700183 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.715674 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.728749 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.811361 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.815639 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:09.816783 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.857560 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:09.981799 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.011263 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.010511 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.020426 281473553232768 cross_device_ops.py:1151] 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-3]: INFO:tensorflow:epoch 1 finished [worker-3]: I0418 22:07:10.222444 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: INFO:tensorflow:epoch 1 finished [worker-0]: I0418 22:07:10.227345 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-2]: I0418 22:07:10.231528 281473553232768 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-1]: I0418 22:07:10.222016 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-0]: I0418 22:07:10.234614 281473553232768 cross_device_ops.py:1151] 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-3]: I0418 22:07:10.247719 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:10.239593 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.250796 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.333156 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.383069 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.383835 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.402998 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.526232 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.550727 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.560694 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.571556 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.628617 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.630620 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.658699 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.671066 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:10.741050 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective 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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]: I0418 22:07:11.036242 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:11.054449 281473553232768 cross_device_ops.py:1151] 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 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[worker-2]: INFO:tensorflow:Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-2]: I0418 22:07:12.548606 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-3]: I0418 22:07:12.548097 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-0]: I0418 22:07:12.548270 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-1]: I0418 22:07:12.556569 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0418 22:07:12.556872 281473553232768 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0418 22:07:14.087707 281473314747264 gce_failure_handler_test.py:411] restarting workers [worker-0]: I0418 22:07:14.122936 281473553232768 multi_process_runner.py:840] Subprocess with PID 2261634 (worker, 0) is now being started. INFO:tensorflow:workers restarted I0418 22:07:14.126386 281473314747264 gce_failure_handler_test.py:415] workers restarted [worker-0]: I0418 22:07:14.123297 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17930", "localhost:23526", "localhost:21138", "localhost:23544"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0418 22:07:14.147310 281473553232768 multi_process_runner.py:840] Subprocess with PID 2261737 (worker, 1) is now being started. [worker-1]: I0418 22:07:14.147658 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17930", "localhost:23526", "localhost:21138", "localhost:23544"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-18 22:07:14.194269: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17930 [worker-0]: 2023-04-18 22:07:14.216534: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 6870592627052238254 [worker-0]: 2023-04-18 22:07:14.217376: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: I0418 22:07:14.255563 281473553232768 multi_process_runner.py:840] Subprocess with PID 2261742 (worker, 2) is now being started. [worker-2]: I0418 22:07:14.256014 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17930", "localhost:23526", "localhost:21138", "localhost:23544"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0418 22:07:14.287429 281473553232768 multi_process_runner.py:840] Subprocess with PID 2261861 (worker, 3) is now being started. [worker-3]: I0418 22:07:14.287744 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:17930", "localhost:23526", "localhost:21138", "localhost:23544"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-1]: 2023-04-18 22:07:14.310151: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23526 [worker-2]: 2023-04-18 22:07:14.311316: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:21138 [worker-0]: 2023-04-18 22:07:14.322940: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 16414347381550842732 [worker-1]: 2023-04-18 22:07:14.323172: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:07:14.341499: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 11773979459523701402 [worker-2]: 2023-04-18 22:07:14.348850: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-18 22:07:14.352421: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23544 [worker-0]: 2023-04-18 22:07:14.378392: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 17516608955740573542 [worker-3]: 2023-04-18 22:07:14.378658: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [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]: 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]: I0418 22:07:14.419085 281473553232768 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]: I0418 22:07:14.419322 281473553232768 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]: I0418 22:07:14.423424 281473553232768 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]: I0418 22:07:14.418241 281473553232768 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-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-3]: I0418 22:07:14.472024 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-2]: I0418 22:07:14.472047 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-2]: INFO:tensorflow:Check health not enabled. [worker-3]: I0418 22:07:14.472480 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: I0418 22:07:14.472483 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0418 22:07:14.472689 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0418 22:07:14.472690 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, 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]: I0418 22:07:14.475555 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0418 22:07:14.476054 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0418 22:07:14.476294 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, 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]: I0418 22:07:14.478647 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0418 22:07:14.479119 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0418 22:07:14.479326 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:17930', 'localhost:23526', 'localhost:21138', 'localhost:23544']}, 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:Start watcher for peer's signal. [worker-0]: I0418 22:07:14.505474 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0418 22:07:14.506397 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0418 22:07:14.506272 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-3]: I0418 22:07:14.506498 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: I0418 22:07:14.506397 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0418 22:07:14.507028 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-3]: I0418 22:07:14.507372 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-1]: Traceback (most recent call last): [worker-3]: Traceback (most recent call last): [worker-1]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-3]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-1]: I0418 22:07:14.507438 281473553232768 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]: I0418 22:07:14.507858 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: Instructions for updating: [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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: Instructions for updating: [worker-1]: W0418 22:07:14.507852 281473553232768 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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: W0418 22:07:14.508140 281473553232768 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]: INFO:tensorflow:Start training at 0 [worker-3]: Instructions for updating: [worker-1]: I0418 22:07:14.508022 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: self.run() [worker-3]: INFO:tensorflow:Start training at 0 [worker-1]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-3]: I0418 22:07:14.508290 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: self._target(*self._args, **self._kwargs) [worker-3]: 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/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-3]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-1]: if self._termination_watcher_fn(): [worker-3]: self._target(*self._args, **self._kwargs) [worker-1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [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]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: if self._termination_watcher_fn(): [worker-3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [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/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-0]: I0418 22:07:14.526415 281473553232768 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]: W0418 22:07:14.526973 281473553232768 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]: I0418 22:07:14.527574 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: self.run() [worker-0]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0418 22:07:14.526581 281473553232768 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/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0418 22:07:14.527347 281473553232768 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]: W0418 22:07:14.527625 281473553232768 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]: I0418 22:07:14.527790 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: self.run() [worker-2]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-2]: 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-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:14.589595 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:14.589581 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.636961 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:14.637047 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.695278 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.714282 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.716788 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.727042 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.825525 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.828654 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.823824 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:14.852420 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.933879 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.953758 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.939040 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:14.957335 281473553232768 cross_device_ops.py:1151] 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-2]: I0418 22:07:15.004737 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:15.004230 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:15.004651 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:15.030237 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7324c20> 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 .wrapped_fn at 0xffffa7324d60> 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]: W0418 22:07:15.077107 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7324d60> 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]: I0418 22:07:15.084700 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7326660> 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]: W0418 22:07:15.086795 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7326660> 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]: W0418 22:07:15.078107 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7324c20> 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]: I0418 22:07:15.085150 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:15.094347 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7324d60> 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]: W0418 22:07:15.098447 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7324d60> 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]: I0418 22:07:15.105829 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7327ce0> 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]: W0418 22:07:15.164984 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7327ce0> 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]: I0418 22:07:15.165280 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffffa7327ce0> 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 .wrapped_fn at 0xffffa7327ce0> 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 .wrapped_fn at 0xffffa7325b20> 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]: W0418 22:07:15.164553 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7327ce0> 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]: W0418 22:07:15.164286 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7327ce0> 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-3]: INFO:tensorflow:epoch 0 finished [worker-1]: W0418 22:07:15.164757 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325b20> 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]: I0418 22:07:15.165049 281473553232768 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]: I0418 22:07:15.171731 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:15.164876 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: I0418 22:07:15.164596 281473553232768 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]: I0418 22:07:15.172500 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:15.174851 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:15.186593 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:15.254797 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:15.263301 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:15.263473 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 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= 1 [worker-1]: I0418 22:07:15.589237 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:15.589627 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:15.590805 281473553232768 cross_device_ops.py:1151] 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, 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= 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]: I0418 22:07:15.734403 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:15.734484 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:15.724976 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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[worker-2]: I0418 22:07:17.268049 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: I0418 22:07:17.267707 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-0]: INFO:tensorflow:epoch 4 finished [worker-2]: INFO:tensorflow:Training finished. [worker-0]: I0418 22:07:17.268742 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: I0418 22:07:17.268280 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-0]: I0418 22:07:17.269001 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:epoch 4 finished [worker-1]: I0418 22:07:17.276555 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0418 22:07:17.276809 281473553232768 gce_failure_handler_test.py:244] Training finished. I0418 22:07:18.095844 281473314747264 multi_process_runner.py:646] worker-0 exit code: 0 I0418 22:07:18.096087 281473314747264 multi_process_runner.py:646] worker-1 exit code: 0 I0418 22:07:18.096261 281473314747264 multi_process_runner.py:646] worker-2 exit code: 0 I0418 22:07:18.096370 281473314747264 multi_process_runner.py:646] worker-3 exit code: 0 I0418 22:07:18.098710 281473314747264 multi_process_runner.py:662] Joining log reading threads. I0418 22:07:18.098907 281473314747264 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_manager_strategyoption_MWMSmultiworker): 12.37s I0418 22:07:18.262094 281473314747264 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker): 12.37s [ OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_False_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 18076 I0418 22:07:18.263607 281473314747264 test_util.py:3794] Using local port 18076 INFO:tensorflow:Using local port 23672 I0418 22:07:18.264001 281473314747264 test_util.py:3794] Using local port 23672 INFO:tensorflow:Using local port 17795 I0418 22:07:18.264344 281473314747264 test_util.py:3794] Using local port 17795 INFO:tensorflow:Using local port 20631 I0418 22:07:18.264677 281473314747264 test_util.py:3794] Using local port 20631 INFO:tensorflow:Cluster starting. I0418 22:07:18.281508 281473314747264 gce_failure_handler_test.py:405] Cluster starting. [worker-1]: I0418 22:07:18.395230 281473553232768 multi_process_runner.py:840] Subprocess with PID 2293371 (worker, 1) is now being started. [worker-1]: I0418 22:07:18.395589 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18076", "localhost:23672", "localhost:17795", "localhost:20631"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0418 22:07:18.429363 281473553232768 multi_process_runner.py:840] Subprocess with PID 2293445 (worker, 2) is now being started. [worker-0]: I0418 22:07:18.391860 281473553232768 multi_process_runner.py:840] Subprocess with PID 2293302 (worker, 0) is now being started. [worker-2]: I0418 22:07:18.429706 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18076", "localhost:23672", "localhost:17795", "localhost:20631"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-0]: I0418 22:07:18.392235 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18076", "localhost:23672", "localhost:17795", "localhost:20631"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-18 22:07:18.464459: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:18076 [worker-3]: I0418 22:07:18.468067 281473553232768 multi_process_runner.py:840] Subprocess with PID 2293453 (worker, 3) is now being started. [worker-2]: 2023-04-18 22:07:18.468960: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17795 [worker-3]: I0418 22:07:18.468428 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18076", "localhost:23672", "localhost:17795", "localhost:20631"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-1]: 2023-04-18 22:07:18.480948: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23672 [worker-0]: 2023-04-18 22:07:18.497303: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 4248058708911120892 [worker-2]: 2023-04-18 22:07:18.497909: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:07:18.502596: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 7210399302839094015 [worker-1]: 2023-04-18 22:07:18.503189: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:07:18.504555: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 17241279407263315320 [worker-0]: 2023-04-18 22:07:18.504958: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-3]: 2023-04-18 22:07:18.545627: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:20631 [worker-0]: 2023-04-18 22:07:18.559516: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 7954041468877036480 [worker-3]: 2023-04-18 22:07:18.559763: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] 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]: I0418 22:07:18.561798 281473553232768 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-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]: I0418 22:07:18.577503 281473553232768 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]: I0418 22:07:18.562011 281473553232768 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]: I0418 22:07:18.596036 281473553232768 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]: I0418 22:07:18.619172 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0418 22:07:18.619742 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18076', 'localhost:23672', 'localhost:17795', 'localhost:20631']}, 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]: I0418 22:07:18.638233 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0418 22:07:18.638719 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: I0418 22:07:18.638747 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18076', 'localhost:23672', 'localhost:17795', 'localhost:20631']}, 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:Check health not enabled. [worker-1]: I0418 22:07:18.638926 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18076', 'localhost:23672', 'localhost:17795', 'localhost:20631']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0418 22:07:18.639488 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18076', 'localhost:23672', 'localhost:17795', 'localhost:20631']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0418 22:07:18.639698 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18076', 'localhost:23672', 'localhost:17795', 'localhost:20631']}, 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]: I0418 22:07:18.649600 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0418 22:07:18.650019 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18076', 'localhost:23672', 'localhost:17795', 'localhost:20631']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0418 22:07:18.650224 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18076', 'localhost:23672', 'localhost:17795', 'localhost:20631']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0418 22:07:18.619955 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:18076', 'localhost:23672', 'localhost:17795', 'localhost:20631']}, 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-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0418 22:07:18.678275 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: I0418 22:07:18.678280 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0418 22:07:18.678294 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0418 22:07:18.679005 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-1]: Traceback (most recent call last): [worker-3]: I0418 22:07:18.679744 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-2]: I0418 22:07:18.679858 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-1]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-3]: Traceback (most recent call last): [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-2]: Traceback (most recent call last): [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: self.run() [worker-1]: I0418 22:07:18.679486 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: I0418 22:07:18.682086 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-2]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-3]: self._target(*self._args, **self._kwargs) [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-0]: INFO:tensorflow:Start polling for termination signal. [worker-2]: 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/failure_handling/failure_handling.py", line 692, in _poll_termination_signal [worker-0]: I0418 22:07:18.682801 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-1]: Instructions for updating: [worker-2]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-2]: self._target(*self._args, **self._kwargs) [worker-3]: if self._termination_watcher_fn(): [worker-1]: W0418 22:07:18.679728 281473553232768 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]: 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]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [worker-1]: Instructions for updating: [worker-2]: if self._termination_watcher_fn(): [worker-0]: I0418 22:07:18.683264 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [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-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Traceback (most recent call last): [worker-2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [worker-1]: INFO:tensorflow:Start training at 0 [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]: elif frequent_send and not maintenance_event.is_set(): [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-1]: I0418 22:07:18.679887 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-2]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: self.run() [worker-0]: Instructions for updating: [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-2]: ^^^^^^^^^^^^^^^^^^^^^^^^ [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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: if self._termination_watcher_fn(): [worker-0]: W0418 22:07:18.683708 281473553232768 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]: I0418 22:07:18.682142 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: Instructions for updating: [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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-0]: INFO:tensorflow:Start training at 0 [worker-1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [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/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-0]: I0418 22:07:18.683931 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: I0418 22:07:18.682605 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-1]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: W0418 22:07:18.682410 281473553232768 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]: 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]: self.run() [worker-1]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-3]: Instructions for updating: [worker-2]: Instructions for updating: [worker-0]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: self._target(*self._args, **self._kwargs) [worker-3]: INFO:tensorflow:Start training at 0 [worker-2]: W0418 22:07:18.682881 281473553232768 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]: 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]: I0418 22:07:18.682569 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: Instructions for updating: [worker-0]: if self._termination_watcher_fn(): [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [worker-2]: INFO:tensorflow:Start training at 0 [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-2]: I0418 22:07:18.683033 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-0]: elif frequent_send and not maintenance_event.is_set(): [worker-0]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-0]: 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]: I0418 22:07:18.764258 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:18.765515 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:18.767212 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:18.811168 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:18.875252 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:18.876085 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:18.884932 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:18.899943 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:18.948768 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:18.949411 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:18.952852 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:18.980273 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.028570 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.035828 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.043451 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.036442 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.092948 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:19.093116 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.095659 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.100258 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7324cc0> 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]: W0418 22:07:19.157312 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7324cc0> 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 .wrapped_fn at 0xffffa7324e00> 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]: W0418 22:07:19.158303 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7324e00> 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]: I0418 22:07:19.164267 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7324cc0> 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]: W0418 22:07:19.162915 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7324cc0> 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 .wrapped_fn at 0xffffa7324cc0> 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]: W0418 22:07:19.166428 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7324cc0> 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:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:19.175148 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.171500 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.187836 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7326b60> 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 .wrapped_fn at 0xffffa7325bc0> 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]: W0418 22:07:19.235409 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7326b60> 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]: I0418 22:07:19.235709 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-0]: W0418 22:07:19.235514 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325bc0> 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]: I0418 22:07:19.235855 281473553232768 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]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffffa7325a80> 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]: I0418 22:07:19.243568 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: W0418 22:07:19.245926 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325a80> 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]: I0418 22:07:19.246268 281473553232768 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]: I0418 22:07:19.253447 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7325a80> 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]: W0418 22:07:19.256851 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325a80> 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]: I0418 22:07:19.257157 281473553232768 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]: I0418 22:07:19.270023 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.264757 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.319420 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:19.319477 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.327097 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:19.327363 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.375784 281473553232768 cross_device_ops.py:1151] 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, 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= 1 [worker-3]: I0418 22:07:19.473957 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:19.474382 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.474878 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.475347 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.521667 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.521934 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:19.521893 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.539353 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.600773 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-3]: INFO:tensorflow:epoch 1 finished [worker-3]: I0418 22:07:19.600626 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-1]: I0418 22:07:19.605010 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: I0418 22:07:19.605111 281473553232768 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]: I0418 22:07:19.607475 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:19.607651 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.611813 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:19.611998 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.662361 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:19.662864 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:19.663476 281473553232768 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INFO:tensorflow:epoch 2 finished [worker-3]: I0418 22:07:19.942473 281473553232768 gce_failure_handler_test.py:192] epoch 2 finished [worker-0]: I0418 22:07:19.942643 281473553232768 gce_failure_handler_test.py:192] epoch 2 finished [worker-1]: I0418 22:07:19.942753 281473553232768 gce_failure_handler_test.py:192] epoch 2 finished [worker-2]: INFO:tensorflow:epoch 2 finished [worker-2]: I0418 22:07:19.942847 281473553232768 gce_failure_handler_test.py:192] 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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:19.948806 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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= 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-0]: I0418 22:07:20.079977 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:20.080380 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:20.079949 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:07:20.080301 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.133847 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.136595 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:07:20.137044 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.133506 281473553232768 cross_device_ops.py:1151] 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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:20.213403 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:20.213906 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.213780 281473553232768 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finished [worker-0]: INFO:tensorflow:epoch 3 finished [worker-1]: INFO:tensorflow:epoch 3 finished [worker-2]: INFO:tensorflow:epoch 3 finished [worker-2]: I0418 22:07:20.364520 281473553232768 gce_failure_handler_test.py:192] epoch 3 finished [worker-1]: I0418 22:07:20.364487 281473553232768 gce_failure_handler_test.py:192] epoch 3 finished [worker-0]: I0418 22:07:20.364426 281473553232768 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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:07:20.364172 281473553232768 gce_failure_handler_test.py:192] epoch 3 finished [worker-2]: I0418 22:07:20.371044 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 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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]: I0418 22:07:20.426676 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.429020 281473553232768 cross_device_ops.py:1151] 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, 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CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:20.491974 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.576809 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.577825 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.583364 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.589781 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.644207 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.645445 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:07:20.645469 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.646380 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.705033 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.706545 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.707147 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.711624 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:07:20.776792 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-0]: I0418 22:07:20.777218 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: I0418 22:07:20.777842 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: I0418 22:07:20.777787 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: I0418 22:07:20.777070 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-1]: I0418 22:07:20.778185 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-0]: I0418 22:07:20.777537 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0418 22:07:20.778038 281473553232768 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0418 22:07:22.324285 281473314747264 gce_failure_handler_test.py:411] restarting workers [worker-0]: I0418 22:07:22.366988 281473553232768 multi_process_runner.py:840] Subprocess with PID 2315121 (worker, 0) is now being started. [worker-0]: I0418 22:07:22.367352 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18076", "localhost:23672", "localhost:17795", "localhost:20631"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' INFO:tensorflow:workers restarted I0418 22:07:22.392989 281473314747264 gce_failure_handler_test.py:415] workers restarted [worker-1]: I0418 22:07:22.393524 281473553232768 multi_process_runner.py:840] Subprocess with PID 2315412 (worker, 1) is now being started. [worker-0]: E0418 22:07:22.394059447 2315121 server_chttp2.cc:40] {"created":"@1681855642.393904156","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":"@1681855642.393898640","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":"@1681855642.393870282","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":"@1681855642.393858006","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":"@1681855642.393897275","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":"@1681855642.393889840","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]: 2023-04-18 22:07:22.394192: E tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:601] UNKNOWN: Could not start gRPC server [worker-0]: 2023-04-18 22:07:22.394956: E tensorflow/core/common_runtime/eager/context_distributed_manager.cc:699] Could not start gRPC server [worker-1]: I0418 22:07:22.393888 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18076", "localhost:23672", "localhost:17795", "localhost:20631"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0418 22:07:22.400546 281473553232768 multi_process_runner.py:840] Subprocess with PID 2315591 (worker, 2) is now being started. [worker-2]: I0418 22:07:22.400904 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18076", "localhost:23672", "localhost:17795", "localhost:20631"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-1]: 2023-04-18 22:07:22.525565: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:23672 [worker-0]: Process _Process-26: [worker-0]: Traceback (most recent call last): [worker-3]: I0418 22:07:22.539055 281473553232768 multi_process_runner.py:840] Subprocess with PID 2315822 (worker, 3) is now being started. [worker-0]: File "/usr/lib/python3.11/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]: ^^^^^^^^^^^^^^^^^^ [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-3]: I0418 22:07:22.539377 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:18076", "localhost:23672", "localhost:17795", "localhost:20631"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [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]: ^^^^^^^^^^ [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 [worker-0]: app.run(lambda _: self._run_impl()) [worker-0]: ^^^^^^^^^^^^^^^^ [worker-0]: File "/usr/lib/python3.11/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]: ^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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 187, 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 608, 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]: 2023-04-18 22:07:22.687470: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:20631 [worker-2]: 2023-04-18 22:07:23.098322: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:17795 INFO:tensorflow:Termination notice available. I0418 22:07:38.096636 281463995691488 gce_failure_handler_test.py:142] Termination notice available. --- Logging error --- Traceback (most recent call last): File "/usr/lib/python3.11/logging/__init__.py", line 1110, in emit msg = self.format(record) ^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 953, in format return fmt.format(record) ^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 687, in format record.message = record.getMessage() ^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 377, in getMessage msg = msg % self.args ~~~~^~~~~~~~~~~ TypeError: not all arguments converted during string formatting Call stack: File "/usr/lib/python3.11/threading.py", line 995, in _bootstrap self._bootstrap_inner() File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner self.run() File "/usr/lib/python3.11/threading.py", line 975, in run self._target(*self._args, **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/failure_handling.py", line 696, in _poll_termination_signal self._maybe_set_received_own_sigterm() 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 701, in _maybe_set_received_own_sigterm logging.info('Received termination notice.', 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/platform/tf_logging.py", line 204, in info get_logger().info(msg, *args, **kwargs) Message: 'Received termination notice.' Arguments: ('single_worker',) --- Logging error --- Traceback (most recent call last): File "/usr/lib/python3.11/logging/__init__.py", line 1110, in emit msg = self.format(record) ^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 953, in format return fmt.format(record) ^^^^^^^^^^^^^^^^^^ 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/logging/__init__.py", line 1025, in format return prefix + super(PythonFormatter, self).format(record) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 687, in format record.message = record.getMessage() ^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/logging/__init__.py", line 377, in getMessage msg = msg % self.args ~~~~^~~~~~~~~~~ TypeError: not all arguments converted during string formatting Call stack: File "/usr/lib/python3.11/threading.py", line 995, in _bootstrap self._bootstrap_inner() File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner self.run() File "/usr/lib/python3.11/threading.py", line 975, in run self._target(*self._args, **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/failure_handling.py", line 696, in _poll_termination_signal self._maybe_set_received_own_sigterm() 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 701, in _maybe_set_received_own_sigterm logging.info('Received termination notice.', 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/platform/tf_logging.py", line 204, in info get_logger().info(msg, *args, **kwargs) File "/usr/lib/python3.11/logging/__init__.py", line 1489, in info self._log(INFO, msg, args, **kwargs) File "/usr/lib/python3.11/logging/__init__.py", line 1634, in _log self.handle(record) File "/usr/lib/python3.11/logging/__init__.py", line 1644, in handle self.callHandlers(record) File "/usr/lib/python3.11/logging/__init__.py", line 1706, in callHandlers hdlr.handle(record) 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/logging/__init__.py", line 988, in handle return self._current_handler.handle(record) File "/usr/lib/python3.11/logging/__init__.py", line 978, in handle self.emit(record) 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/logging/__init__.py", line 925, in emit super(PythonHandler, self).emit(record) Message: 'Received termination notice.' Arguments: ('single_worker',) Exception ignored in: 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/python3.11/threading.py", line 1109, in join raise RuntimeError("cannot join current thread") RuntimeError: cannot join current thread E0418 22:11:32.396279 281473314747264 multi_process_runner.py:626] Timeout when joining for child processes. Terminating... I0418 22:11:32.396604 281473314747264 multi_process_runner.py:715] worker-0 has already exited. Not terminating. I0418 22:11:32.396846 281473314747264 multi_process_runner.py:721] worker-1 terminated with signal . I0418 22:11:32.397035 281473314747264 multi_process_runner.py:721] worker-2 terminated with signal . I0418 22:11:32.397195 281473314747264 multi_process_runner.py:721] worker-3 terminated with signal . [worker-1]: 2023-04-18 22:11:32.753400: W tensorflow/tsl/distributed_runtime/preemption/preemption_notifier.cc:89] SIGTERM caught at 2023-04-18T22:11:32.753251214+00:00 [worker-1]: 2023-04-18 22:11:32.896442: I tensorflow/core/common_runtime/eager/context_distributed_manager.cc:740] Preemption not exported to coordination service: UNAVAILABLE: failed to connect to all addresses [worker-1]: Additional GRPC error information from remote target /job:worker/replica:0/task:0: [worker-1]: :{"created":"@1681855892.896266743","description":"Failed to pick subchannel","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/client_channel.cc","file_line":3940,"referenced_errors":[{"created":"@1681855892.896259182","description":"failed to connect to all addresses","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/lb_policy/pick_first/pick_first.cc","file_line":392,"grpc_status":14}]} [worker-3]: 2023-04-18 22:11:33.046215: W tensorflow/tsl/distributed_runtime/preemption/preemption_notifier.cc:89] SIGTERM caught at 2023-04-18T22:11:33.046129391+00:00 [worker-3]: 2023-04-18 22:11:33.243701: I tensorflow/core/common_runtime/eager/context_distributed_manager.cc:740] Preemption not exported to coordination service: UNAVAILABLE: failed to connect to all addresses [worker-3]: Additional GRPC error information from remote target /job:worker/replica:0/task:0: [worker-3]: :{"created":"@1681855893.243490777","description":"Failed to pick subchannel","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/client_channel.cc","file_line":3940,"referenced_errors":[{"created":"@1681855893.243486586","description":"failed to connect to all addresses","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/lb_policy/pick_first/pick_first.cc","file_line":392,"grpc_status":14}]} [worker-2]: 2023-04-18 22:11:33.406191: W tensorflow/tsl/distributed_runtime/preemption/preemption_notifier.cc:89] SIGTERM caught at 2023-04-18T22:11:33.406123709+00:00 [worker-2]: 2023-04-18 22:11:34.046173: I tensorflow/core/common_runtime/eager/context_distributed_manager.cc:740] Preemption not exported to coordination service: UNAVAILABLE: failed to connect to all addresses [worker-2]: Additional GRPC error information from remote target /job:worker/replica:0/task:0: [worker-2]: :{"created":"@1681855894.037677804","description":"Failed to pick subchannel","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/client_channel.cc","file_line":3940,"referenced_errors":[{"created":"@1681855894.037673549","description":"failed to connect to all addresses","file":"external/com_github_grpc_grpc/src/core/ext/filters/client_channel/lb_policy/pick_first/pick_first.cc","file_line":392,"grpc_status":14}]} E0418 22:12:02.397486 281473314747264 multi_process_runner.py:632] Timeout when waiting for child processes to print stacktrace. Sending SIGKILL... I0418 22:12:02.397793 281473314747264 multi_process_runner.py:715] worker-0 has already exited. Not terminating. I0418 22:12:02.398700 281473314747264 multi_process_runner.py:721] worker-1 terminated with signal . I0418 22:12:02.399459 281473314747264 multi_process_runner.py:721] worker-2 terminated with signal . I0418 22:12:02.400165 281473314747264 multi_process_runner.py:721] worker-3 terminated with signal . [ FAILED ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker): 284.82s I0418 22:12:03.080117 281473314747264 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker): 284.82s [ RUN ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 20445 I0418 22:12:03.081691 281473314747264 test_util.py:3794] Using local port 20445 INFO:tensorflow:Using local port 21913 I0418 22:12:03.082113 281473314747264 test_util.py:3794] Using local port 21913 INFO:tensorflow:Using local port 16618 I0418 22:12:03.082457 281473314747264 test_util.py:3794] Using local port 16618 INFO:tensorflow:Using local port 19587 I0418 22:12:03.082785 281473314747264 test_util.py:3794] Using local port 19587 INFO:tensorflow:Cluster starting. I0418 22:12:03.150317 281473314747264 gce_failure_handler_test.py:405] Cluster starting. [worker-0]: I0418 22:12:03.183838 281473553232768 multi_process_runner.py:840] Subprocess with PID 3033276 (worker, 0) is now being started. [worker-0]: I0418 22:12:03.184178 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20445", "localhost:21913", "localhost:16618", "localhost:19587"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0418 22:12:03.194076 281473553232768 multi_process_runner.py:840] Subprocess with PID 3033280 (worker, 1) is now being started. [worker-1]: I0418 22:12:03.194421 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20445", "localhost:21913", "localhost:16618", "localhost:19587"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0418 22:12:03.198023 281473553232768 multi_process_runner.py:840] Subprocess with PID 3033283 (worker, 2) is now being started. [worker-2]: I0418 22:12:03.198355 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20445", "localhost:21913", "localhost:16618", "localhost:19587"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0418 22:12:03.208249 281473553232768 multi_process_runner.py:840] Subprocess with PID 3033290 (worker, 3) is now being started. [worker-3]: I0418 22:12:03.208585 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20445", "localhost:21913", "localhost:16618", "localhost:19587"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-2]: 2023-04-18 22:12:03.230430: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:16618 [worker-3]: 2023-04-18 22:12:03.240776: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:19587 [worker-1]: 2023-04-18 22:12:03.243563: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:21913 [worker-0]: 2023-04-18 22:12:03.280910: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:20445 [worker-2]: 2023-04-18 22:12:03.286351: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:12:03.285691: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 2030857913790386761 [worker-0]: 2023-04-18 22:12:03.311354: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 3363546774337413972 [worker-3]: 2023-04-18 22:12:03.311608: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:12:03.392473: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 15931440667090469297 [worker-1]: 2023-04-18 22:12:03.392758: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:12:03.393549: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 8033497823182965172 [worker-0]: 2023-04-18 22:12:03.393731: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [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]: I0418 22:12:03.395673 281473553232768 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-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]: I0418 22:12:03.395681 281473553232768 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]: I0418 22:12:03.395750 281473553232768 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]: I0418 22:12:03.395709 281473553232768 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]: I0418 22:12:03.447234 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0418 22:12:03.447690 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0418 22:12:03.447898 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, 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]: I0418 22:12:03.448729 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0418 22:12:03.449148 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0418 22:12:03.449353 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, 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]: I0418 22:12:03.456477 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0418 22:12:03.456963 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0418 22:12:03.457174 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, 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]: I0418 22:12:03.460419 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0418 22:12:03.460906 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0418 22:12:03.461111 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, 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:Start watcher for peer's signal. [worker-2]: I0418 22:12:03.515657 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0418 22:12:03.515551 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0418 22:12:03.516288 281473553232768 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/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-1]: self.run() [worker-1]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0418 22:12:03.518368 281473553232768 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]: W0418 22:12:03.518618 281473553232768 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]: I0418 22:12:03.518770 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0418 22:12:03.524245 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0418 22:12:03.514914 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-0]: I0418 22:12:03.525747 281473553232768 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/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-0]: self.run() [worker-0]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0418 22:12:03.526731 281473553232768 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]: W0418 22:12:03.528759 281473553232768 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]: I0418 22:12:03.528925 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0418 22:12:03.536893 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-3]: I0418 22:12:03.538435 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-3]: Traceback (most recent call last): [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-3]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-2]: Traceback (most recent call last): [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0418 22:12:03.556382 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-2]: self.run() [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]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-3]: Instructions for updating: [worker-2]: self._target(*self._args, **self._kwargs) [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [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-3]: W0418 22:12:03.557406 281473553232768 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]: if self._termination_watcher_fn(): [worker-3]: Instructions for updating: [worker-2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [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-3]: INFO:tensorflow:Start training at 0 [worker-3]: I0418 22:12:03.557566 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: elif frequent_send and not maintenance_event.is_set(): [worker-3]: self.run() [worker-2]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-3]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-2]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: self._target(*self._args, **self._kwargs) [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [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-2]: I0418 22:12:03.556365 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: if self._termination_watcher_fn(): [worker-3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: 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]: Instructions for updating: [worker-3]: elif frequent_send and not maintenance_event.is_set(): [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-2]: W0418 22:12:03.556702 281473553232768 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]: AttributeError: 'str' object has no attribute 'is_set' [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]: I0418 22:12:03.556854 281473553232768 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]: I0418 22:12:03.609179 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:03.610698 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:03.675184 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:03.694226 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:03.801606 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:03.811064 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:03.839792 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:03.860157 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:03.975096 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.003427 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.009779 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.049945 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.111454 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.114201 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.129886 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:12:04.129819 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.181363 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.186882 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.206315 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.222653 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa73260c0> 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]: W0418 22:12:04.296600 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa73260c0> 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]: I0418 22:12:04.303575 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa73260c0> 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 .wrapped_fn at 0xffffa73263e0> 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]: W0418 22:12:04.316552 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa73260c0> 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]: I0418 22:12:04.323790 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: W0418 22:12:04.320835 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa73263e0> 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:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:12:04.328438 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7326520> 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]: W0418 22:12:04.336499 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7326520> 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]: I0418 22:12:04.360035 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7325940> 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 .wrapped_fn at 0xffffa7327380> 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]: W0418 22:12:04.442629 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7327380> 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]: I0418 22:12:04.442930 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffffa7326980> 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]: W0418 22:12:04.442896 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7326980> 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]: W0418 22:12:04.442302 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325940> 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-3]: INFO:tensorflow:epoch 0 finished [worker-2]: I0418 22:12:04.443187 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-3]: I0418 22:12:04.442622 281473553232768 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-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:12:04.449473 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:12:04.449654 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.450263 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7325800> 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]: W0418 22:12:04.455693 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7325800> 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]: I0418 22:12:04.455984 281473553232768 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-0]: I0418 22:12:04.462814 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.539235 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.541465 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.538359 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:12:04.539314 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.629363 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.633835 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.647801 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:04.648345 281473553232768 cross_device_ops.py:1151] 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 = 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= 1 [worker-0]: I0418 22:12:05.029119 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:05.079080 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:05.082741 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:12:05.083164 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:05.099789 281473553232768 cross_device_ops.py:1151] 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]: I0418 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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]: I0418 22:12:05.821544 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 2 finished [worker-0]: I0418 22:12:05.897753 281473553232768 gce_failure_handler_test.py:192] epoch 2 finished [worker-3]: INFO:tensorflow:epoch 2 finished [worker-3]: I0418 22:12:05.899717 281473553232768 gce_failure_handler_test.py:192] epoch 2 finished [worker-1]: INFO:tensorflow:epoch 2 finished [worker-1]: I0418 22:12:05.902458 281473553232768 gce_failure_handler_test.py:192] epoch 2 finished [worker-2]: 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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]: I0418 22:12:06.394709 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:06.399254 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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= 1 [worker-3]: I0418 22:12:06.711575 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:06.705015 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:06.711398 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:12:06.786692 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:12:06.786403 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:06.793366 281473553232768 cross_device_ops.py:1151] 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]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:12:06.838862 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:12:06.839042 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:12:06.839184 281473553232768 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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]: I0418 22:12:06.992897 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:06.994090 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:07.019815 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:07.039673 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:07.088033 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-3]: I0418 22:12:07.088307 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-2]: INFO:tensorflow:epoch 4 finished [worker-0]: INFO:tensorflow:epoch 4 finished [worker-1]: INFO:tensorflow:epoch 4 finished [worker-1]: I0418 22:12:07.090267 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: I0418 22:12:07.089362 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: INFO:tensorflow:Training finished. [worker-0]: I0418 22:12:07.089592 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0418 22:12:07.090500 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-0]: I0418 22:12:07.089847 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0418 22:12:07.089607 281473553232768 gce_failure_handler_test.py:244] Training finished. INFO:tensorflow:restarting workers I0418 22:12:09.216681 281473314747264 gce_failure_handler_test.py:411] restarting workers [worker-0]: I0418 22:12:09.251922 281473553232768 multi_process_runner.py:840] Subprocess with PID 3069716 (worker, 0) is now being started. [worker-0]: I0418 22:12:09.252267 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20445", "localhost:21913", "localhost:16618", "localhost:19587"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' INFO:tensorflow:workers restarted I0418 22:12:09.273487 281473314747264 gce_failure_handler_test.py:415] workers restarted [worker-0]: 2023-04-18 22:12:09.287984: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:20445 [worker-0]: 2023-04-18 22:12:09.306493: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 8237728525448247585 [worker-1]: I0418 22:12:09.311283 281473553232768 multi_process_runner.py:840] Subprocess with PID 3069727 (worker, 1) is now being started. [worker-1]: I0418 22:12:09.311653 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20445", "localhost:21913", "localhost:16618", "localhost:19587"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-3]: I0418 22:12:09.323484 281473553232768 multi_process_runner.py:840] Subprocess with PID 3070014 (worker, 3) is now being started. [worker-2]: I0418 22:12:09.323806 281473553232768 multi_process_runner.py:840] Subprocess with PID 3069788 (worker, 2) is now being started. [worker-3]: I0418 22:12:09.323844 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20445", "localhost:21913", "localhost:16618", "localhost:19587"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2023-04-18 22:12:09.307164: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-2]: I0418 22:12:09.324144 281473553232768 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:20445", "localhost:21913", "localhost:16618", "localhost:19587"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-1]: 2023-04-18 22:12:09.366834: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:21913 [worker-3]: 2023-04-18 22:12:09.377173: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:19587 [worker-2]: 2023-04-18 22:12:09.394554: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:450] Started server with target: grpc://localhost:16618 [worker-0]: 2023-04-18 22:12:09.397878: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 6375289575859828353 [worker-2]: 2023-04-18 22:12:09.398098: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:12:09.407916: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 5451328004725624022 [worker-3]: 2023-04-18 22:12:09.408158: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] Coordination agent has successfully connected. [worker-0]: 2023-04-18 22:12:09.418719: I tensorflow/tsl/distributed_runtime/coordination/coordination_service.cc:535] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 6332440496278714762 [worker-1]: 2023-04-18 22:12:09.418935: I tensorflow/tsl/distributed_runtime/coordination/coordination_service_agent.cc:298] 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]: I0418 22:12:09.421423 281473553232768 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]: I0418 22:12:09.422753 281473553232768 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]: I0418 22:12:09.424229 281473553232768 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: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]: I0418 22:12:09.425413 281473553232768 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:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: I0418 22:12:09.474868 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0418 22:12:09.475351 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0418 22:12:09.475557 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, 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]: I0418 22:12:09.489341 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0418 22:12:09.489820 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0418 22:12:09.490041 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, 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:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: I0418 22:12:09.493804 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0418 22:12:09.494248 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0418 22:12:09.494454 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, 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]: I0418 22:12:09.500975 281473553232768 mirrored_strategy.py:419] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0418 22:12:09.501420 281473553232768 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0418 22:12:09.501625 281473553232768 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:20445', 'localhost:21913', 'localhost:16618', 'localhost:19587']}, 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]: I0418 22:12:09.539798 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0418 22:12:09.540300 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start polling for termination signal. [worker-1]: I0418 22:12:09.540418 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: I0418 22:12:09.541017 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-1]: INFO:tensorflow:Start polling for termination signal. [worker-2]: INFO:tensorflow:Start polling for termination signal. [worker-2]: I0418 22:12:09.541556 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-1]: I0418 22:12:09.541170 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-2]: Exception in thread WorkerTerminationSignalWatcher-2: [worker-1]: Exception in thread WorkerTerminationSignalWatcher-1: [worker-2]: Traceback (most recent call last): [worker-2]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: Traceback (most recent call last): [worker-2]: I0418 22:12:09.542280 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [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-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: I0418 22:12:09.541832 281473553232768 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: Exception in thread WorkerTerminationSignalWatcher-0: [worker-2]: W0418 22:12:09.542637 281473553232768 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]: Traceback (most recent call last): [worker-2]: Instructions for updating: [worker-0]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0418 22:12:09.546782 281473553232768 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-2]: Track steps using a tf.Variable saved in checkpoint instead. [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]: I0418 22:12:09.547084 281473553232768 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: INFO:tensorflow:Start training at 0 [worker-2]: I0418 22:12:09.542807 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: self.run() [worker-1]: W0418 22:12:09.542145 281473553232768 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]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Instructions for updating: [worker-0]: W0418 22:12:09.547071 281473553232768 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]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-2]: self._target(*self._args, **self._kwargs) [worker-0]: Instructions for updating: [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [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-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: INFO:tensorflow:Start training at 0 [worker-3]: INFO:tensorflow:Start polling for termination signal. [worker-3]: I0418 22:12:09.555946 281473553232768 failure_handling.py:683] Start polling for termination signal. [worker-3]: Exception in thread WorkerTerminationSignalWatcher-3: [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: Traceback (most recent call last): [worker-0]: INFO:tensorflow:Start training at 0 [worker-1]: I0418 22:12:09.542291 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-2]: if self._termination_watcher_fn(): [worker-2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [worker-0]: I0418 22:12:09.547224 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-1]: self.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/failure_handling/gce_failure_handler_test.py", line 145, in mock_termination_watcher_function_gce [worker-1]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-0]: self.run() [worker-0]: File "/usr/lib/python3.11/threading.py", line 975, in run [worker-2]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: self._target(*self._args, **self._kwargs) [worker-0]: self._target(*self._args, **self._kwargs) [worker-2]: ^^^^^^^^^^^^^^^^^^^^^^^^ [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]: 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]: AttributeError: 'str' object has no attribute 'is_set' [worker-1]: if self._termination_watcher_fn(): [worker-0]: if self._termination_watcher_fn(): [worker-1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [worker-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-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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-0]: elif frequent_send and not maintenance_event.is_set(): [worker-1]: AttributeError: 'str' object has no attribute 'is_set' [worker-0]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-0]: AttributeError: 'str' object has no attribute 'is_set' [worker-3]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-3]: I0418 22:12:09.556584 281473553232768 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]: W0418 22:12:09.557004 281473553232768 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]: I0418 22:12:09.557166 281473553232768 gce_failure_handler_test.py:194] Start training at 0 [worker-3]: self.run() [worker-3]: File "/usr/lib/python3.11/threading.py", line 975, 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]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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]: ^^^^^^^^^^^^^^^^^^^^^^^^ [worker-3]: AttributeError: 'str' object has no attribute 'is_set' [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]: I0418 22:12:09.685658 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:09.692542 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:09.733372 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:09.768090 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:09.822098 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:09.822122 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:09.831274 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:09.839589 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:09.898514 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:09.934015 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:12:09.934143 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:09.970349 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.029198 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.030058 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:12:10.029162 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.034014 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.095481 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.096345 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.101585 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.129283 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa7325bc0> 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 .wrapped_fn at 0xffffa7326520> 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 .wrapped_fn at 0xffffa73263e0> 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]: W0418 22:12:10.168040 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7325bc0> 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]: W0418 22:12:10.168128 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7326520> 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]: W0418 22:12:10.168351 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa73263e0> 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 .wrapped_fn at 0xffffa7326520> 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]: W0418 22:12:10.174096 281473553232768 polymorphic_function.py:158] 5 out of the last 5 calls to .wrapped_fn at 0xffffa7326520> 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-3]: I0418 22:12:10.174629 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:12:10.174752 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.175203 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.199916 281473553232768 cross_device_ops.py:1151] 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 .wrapped_fn at 0xffffa73271a0> 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]: W0418 22:12:10.239297 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa73271a0> 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]: I0418 22:12:10.239604 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-2]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffffa7327ba0> 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]: W0418 22:12:10.240657 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7327ba0> 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]: I0418 22:12:10.240953 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-1]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffffa7327ba0> 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]: W0418 22:12:10.239744 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7327ba0> 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]: I0418 22:12:10.240035 281473553232768 gce_failure_handler_test.py:192] epoch 0 finished [worker-0]: WARNING:tensorflow:6 out of the last 6 calls to .wrapped_fn at 0xffffa7326c00> 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]: W0418 22:12:10.240423 281473553232768 polymorphic_function.py:158] 6 out of the last 6 calls to .wrapped_fn at 0xffffa7326c00> 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]: I0418 22:12:10.240713 281473553232768 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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:12:10.246150 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:12:10.248758 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.247186 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.252852 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.303433 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0418 22:12:10.303710 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.307779 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.312462 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.358134 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.367062 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.358479 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.379400 281473553232768 cross_device_ops.py:1151] 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 = 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CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:12:10.561340 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.580001 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.668586 281473553232768 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]: I0418 22:12:10.675487 281473553232768 cross_device_ops.py:1151] 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-0]: I0418 22:12:10.677182 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-1]: I0418 22:12:10.681904 281473553232768 gce_failure_handler_test.py:192] epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-2]: I0418 22:12:10.686084 281473553232768 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]: I0418 22:12:10.693374 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.692960 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.707934 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.780898 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.788192 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.788249 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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22:12:10.884448 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.903448 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.909790 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.955874 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.970575 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:10.973439 281473553232768 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epoch 2 finished [worker-0]: INFO:tensorflow:epoch 2 finished [worker-1]: INFO:tensorflow:epoch 2 finished [worker-0]: I0418 22:12:11.190964 281473553232768 gce_failure_handler_test.py:192] epoch 2 finished [worker-1]: I0418 22:12:11.191224 281473553232768 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]: I0418 22:12:11.198256 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.201266 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, 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CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0418 22:12:11.419624 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.459749 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.505601 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.509699 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.609628 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0418 22:12:11.608612 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.697561 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.699746 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:12:11.699981 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.719832 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.807655 281473553232768 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]: I0418 22:12:11.814464 281473553232768 cross_device_ops.py:1151] 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 [worker-0]: INFO:tensorflow:epoch 3 finished [worker-2]: I0418 22:12:11.815511 281473553232768 gce_failure_handler_test.py:192] epoch 3 finished [worker-0]: I0418 22:12:11.815685 281473553232768 gce_failure_handler_test.py:192] epoch 3 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]: I0418 22:12:11.822273 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.827402 281473553232768 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]: I0418 22:12:11.833870 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.859630 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.913228 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0418 22:12:11.914147 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.924156 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:11.921590 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.024695 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.037166 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.043891 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.049853 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.101192 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.104854 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.107567 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.137617 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.205467 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.210919 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.211066 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.234651 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.282844 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.291542 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.291389 281473553232768 cross_device_ops.py:1151] 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]: I0418 22:12:12.308770 281473553232768 cross_device_ops.py:1151] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 4 finished [worker-0]: I0418 22:12:12.360186 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-0]: INFO:tensorflow:Training finished. [worker-0]: I0418 22:12:12.360455 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-1]: INFO:tensorflow:epoch 4 finished [worker-1]: I0418 22:12:12.361533 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0418 22:12:12.361785 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-3]: INFO:tensorflow:epoch 4 finished [worker-2]: INFO:tensorflow:epoch 4 finished [worker-3]: I0418 22:12:12.362009 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-2]: I0418 22:12:12.362497 281473553232768 gce_failure_handler_test.py:192] epoch 4 finished [worker-3]: INFO:tensorflow:Training finished. [worker-2]: INFO:tensorflow:Training finished. [worker-3]: I0418 22:12:12.362251 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-2]: I0418 22:12:12.362731 281473553232768 gce_failure_handler_test.py:244] Training finished. [worker-3]: Exception in thread PeerTerminationWatcher-3: [worker-3]: Traceback (most recent call last): [worker-3]: File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner [worker-3]: self.run() [worker-3]: File "/usr/lib/python3.11/threading.py", line 975, 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 1229, in _watch_step_to_save_key [worker-3]: step_value = context.context().get_config_key_value(_INITIAL_RUN_COUNT_KEY) [worker-3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [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 804, in get_config_key_value [worker-3]: pywrap_tfe.TFE_GetConfigKeyValue(self._context_handle, key, [worker-3]: tensorflow.python.framework.errors_impl.UnavailableError: Socket closed [worker-3]: Additional GRPC error information from remote target /job:worker/replica:0/task:0: [worker-3]: :{"created":"@1681855932.394312348","description":"Error received from peer ipv6:[::1]:20445","file":"external/com_github_grpc_grpc/src/core/lib/surface/call.cc","file_line":1056,"grpc_message":"Socket closed","grpc_status":14} [worker-3]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-3]: I0418 22:12:12.403557 281473553232768 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]: I0418 22:12:12.403783 281473553232768 failure_handling.py:737] Shut down watcher for one's own termination signal I0418 22:12:13.225075 281473314747264 multi_process_runner.py:646] worker-0 exit code: 0 I0418 22:12:13.225335 281473314747264 multi_process_runner.py:646] worker-1 exit code: 0 I0418 22:12:13.225448 281473314747264 multi_process_runner.py:646] worker-2 exit code: 0 I0418 22:12:13.225553 281473314747264 multi_process_runner.py:646] worker-3 exit code: 0 I0418 22:12:13.228172 281473314747264 multi_process_runner.py:662] Joining log reading threads. I0418 22:12:13.228390 281473314747264 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_manager_strategyoption_MWMSmultiworker): 10.33s I0418 22:12:13.414860 281473314747264 test_util.py:2462] time(__main__.GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker): 10.33s [ OK ] GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_7_inputarg_manager_strategyoption_MWMSmultiworker ====================================================================== ERROR: test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker (__main__.GceFailureHandlingTest) GceFailureHandlingTest.test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker test_multiple_workers_preempted_consecutively_test_apiwrappingtrain_True_graceperiod_0_inputarg_manager_strategyoption_MWMSmultiworker(api_wrapping_train=True, grace_period=0, input_arg='manager', 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 637, 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 134, in worker_fn strategy = collective_all_reduce_strategy.CollectiveAllReduceStrategy() ^^^^^^^^^^^^^^^^^ 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 187, in __init__ CollectiveAllReduceExtended( ^^^^^^^^^^^^^^^^^ 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__ self._initialize_strategy(self._cluster_resolver, devices=devices) ^^^^^^^^^^^^^^^^^ 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 self._initialize_multi_worker(cluster_resolver) ^^^^^^^^^^^^^^^^^ 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 context.context().ensure_initialized() ^^^^^^^^^^^^^^^^^ 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 608, in ensure_initialized pywrap_tfe.TFE_EnableCollectiveOps(context_handle, server_def_str) ^^^^^^^^^^^^^^^^^ tensorflow.python.framework.errors_impl.UnknownError: Could not start gRPC server ---------------------------------------------------------------------- Ran 7 tests in 331.296s FAILED (errors=1) ================================================================================ //tensorflow/c:c_api_experimental_test PASSED in 29.4s //tensorflow/c:c_api_function_test PASSED in 28.6s //tensorflow/c:c_api_test_cpu PASSED in 33.5s //tensorflow/c:c_test PASSED in 35.4s //tensorflow/c:env_test_cpu PASSED in 23.7s //tensorflow/c:kernels_test_cpu PASSED in 35.9s //tensorflow/c:ops_test PASSED in 23.6s //tensorflow/c:while_loop_test PASSED in 29.4s //tensorflow/c/eager:c_api_cluster_test_cpu PASSED in 33.1s //tensorflow/c/eager:c_api_remote_function_test_cpu PASSED in 31.1s //tensorflow/c/eager:c_api_remote_test_cpu PASSED in 32.1s //tensorflow/c/eager:c_api_test_cpu PASSED in 35.3s //tensorflow/c/eager:custom_device_test PASSED in 34.4s //tensorflow/c/eager/parallel_device:parallel_device_lib_test PASSED in 28.8s //tensorflow/c/eager/parallel_device:parallel_device_remote_test PASSED in 30.0s //tensorflow/c/eager/parallel_device:parallel_device_test PASSED in 33.7s 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//tensorflow/compiler/tests:lstm_test_cpu PASSED in 24.2s //tensorflow/compiler/tests:manip_ops_test_cpu PASSED in 15.6s //tensorflow/compiler/tests:manip_ops_test_cpu_mlir_bridge_test PASSED in 11.4s //tensorflow/compiler/tests:matrix_band_part_test_cpu PASSED in 40.3s //tensorflow/compiler/tests:matrix_band_part_test_cpu_mlir_bridge_test PASSED in 37.9s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu PASSED in 20.1s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu_mlir_bridge_test PASSED in 19.4s //tensorflow/compiler/tests:matrix_solve_op_test_cpu PASSED in 9.4s //tensorflow/compiler/tests:matrix_solve_op_test_cpu_mlir_bridge_test PASSED in 8.1s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu PASSED in 26.1s //tensorflow/compiler/tests:matrix_triangular_solve_op_test_cpu_mlir_bridge_test PASSED in 25.3s //tensorflow/compiler/tests:momentum_test_cpu PASSED in 11.8s //tensorflow/compiler/tests:nary_ops_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:nary_ops_test_cpu_mlir_bridge_test PASSED in 10.3s //tensorflow/compiler/tests:nullary_ops_test_cpu PASSED in 7.0s //tensorflow/compiler/tests:nullary_ops_test_cpu_mlir_bridge_test PASSED in 7.6s //tensorflow/compiler/tests:placeholder_test_cpu PASSED in 8.3s //tensorflow/compiler/tests:placeholder_test_cpu_mlir_bridge_test PASSED in 6.7s //tensorflow/compiler/tests:proximal_adagrad_test_cpu PASSED in 10.1s //tensorflow/compiler/tests:proximal_gradient_descent_test_cpu PASSED in 8.1s //tensorflow/compiler/tests:quantized_ops_test_cpu PASSED in 9.0s //tensorflow/compiler/tests:reduce_window_test_cpu PASSED in 7.4s //tensorflow/compiler/tests:reduce_window_test_cpu_mlir_bridge_test PASSED in 7.1s //tensorflow/compiler/tests:reshape_op_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:reshape_op_test_cpu_mlir_bridge_test PASSED in 7.4s //tensorflow/compiler/tests:reverse_ops_test_cpu PASSED in 10.8s //tensorflow/compiler/tests:reverse_ops_test_cpu_mlir_bridge_test PASSED in 11.3s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu PASSED in 9.8s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu_mlir_bridge_test PASSED in 10.3s //tensorflow/compiler/tests:risc_ops_test_cpu_mlir_bridge_test PASSED in 8.1s //tensorflow/compiler/tests:rmsprop_test_cpu PASSED in 11.7s //tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 20.2s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 24.8s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 26.4s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 9.0s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 22.6s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 30.3s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 16.9s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 16.9s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 17.2s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 14.0s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu PASSED in 8.8s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu_mlir_bridge_test PASSED in 8.4s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 7.5s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 10.3s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 25.1s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 26.3s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 25.1s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 14.2s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 8.3s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 24.8s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 16.1s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 17.0s //tensorflow/compiler/tests:while_test_cpu PASSED in 9.6s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 9.8s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 14.5s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 7.8s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 11.7s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 16.3s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 32.7s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 38.9s //tensorflow/compiler/tests:xla_test_test PASSED in 7.3s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 8.3s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.8s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 0.8s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 1.3s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 24.5s //tensorflow/compiler/tf2xla:graph_compiler_test PASSED in 6.0s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 0.5s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 8.5s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 1.6s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 0.5s //tensorflow/compiler/tf2xla:tf2xla_test PASSED in 18.5s //tensorflow/compiler/tf2xla:tf2xla_util_test PASSED in 0.7s //tensorflow/compiler/tf2xla:xla_compiler_test PASSED in 16.9s //tensorflow/compiler/tf2xla:xla_jit_compiled_cpu_function_test PASSED in 15.7s //tensorflow/compiler/tf2xla:xla_op_registry_test PASSED in 6.8s //tensorflow/compiler/tf2xla/kernels:rng_converter_utils_test PASSED in 1.5s //tensorflow/compiler/xla:array2d_test PASSED in 0.7s //tensorflow/compiler/xla:array3d_test PASSED in 0.2s //tensorflow/compiler/xla:array4d_test PASSED in 0.1s //tensorflow/compiler/xla:array_test PASSED in 0.2s //tensorflow/compiler/xla:bit_cast_test PASSED in 0.1s //tensorflow/compiler/xla:comparison_util_test PASSED in 0.4s //tensorflow/compiler/xla:debug_options_parsers_test PASSED in 0.2s //tensorflow/compiler/xla:index_util_test PASSED in 0.2s //tensorflow/compiler/xla:iterator_util_test PASSED in 0.1s //tensorflow/compiler/xla:layout_test PASSED in 0.1s //tensorflow/compiler/xla:layout_util_test PASSED in 0.5s //tensorflow/compiler/xla:literal_test PASSED in 0.9s //tensorflow/compiler/xla:parse_flags_from_env_test PASSED in 0.5s //tensorflow/compiler/xla:permutation_util_test PASSED in 0.5s //tensorflow/compiler/xla:primitive_util_test PASSED in 0.3s //tensorflow/compiler/xla:refcounting_hash_map_test PASSED in 0.1s //tensorflow/compiler/xla:reference_util_test PASSED in 0.7s //tensorflow/compiler/xla:shape_test PASSED in 0.4s //tensorflow/compiler/xla:shape_tree_test PASSED in 0.5s //tensorflow/compiler/xla:shape_util_test PASSED in 2.4s //tensorflow/compiler/xla:status_macros_test PASSED in 0.2s //tensorflow/compiler/xla:text_literal_reader_test PASSED in 0.2s //tensorflow/compiler/xla:text_literal_writer_test PASSED in 0.2s //tensorflow/compiler/xla:types_test PASSED in 0.7s //tensorflow/compiler/xla:util_test PASSED in 0.2s //tensorflow/compiler/xla:window_util_test PASSED in 0.3s //tensorflow/compiler/xla/client:padding_test PASSED in 0.1s //tensorflow/compiler/xla/client:xla_builder_test PASSED in 0.3s //tensorflow/compiler/xla/client/lib:arithmetic_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/client/lib:comparators_test_cpu PASSED in 7.8s //tensorflow/compiler/xla/client/lib:constants_test_cpu PASSED in 8.8s //tensorflow/compiler/xla/client/lib:logdet_test_cpu PASSED in 9.2s //tensorflow/compiler/xla/client/lib:math_test_cpu PASSED in 13.9s //tensorflow/compiler/xla/client/lib:matrix_test_cpu PASSED in 10.8s //tensorflow/compiler/xla/client/lib:pooling_test_cpu PASSED in 8.7s //tensorflow/compiler/xla/client/lib:qr_test_cpu PASSED in 11.1s //tensorflow/compiler/xla/client/lib:slicing_test_cpu PASSED in 7.3s //tensorflow/compiler/xla/client/lib:sorting_test_cpu PASSED in 8.6s //tensorflow/compiler/xla/examples/axpy:stablehlo_compile_test PASSED in 9.2s //tensorflow/compiler/xla/experiments/sm_bandwidth_benchmark:sm_bw_test PASSED in 0.1s //tensorflow/compiler/xla/hlo/evaluator:hlo_evaluator_test PASSED in 3.5s //tensorflow/compiler/xla/hlo/experimental/auto_sharding:auto_sharding_test PASSED in 1.3s //tensorflow/compiler/xla/hlo/transforms:hlo_constant_splitter_test PASSED in 1.1s //tensorflow/compiler/xla/hlo/utils:hlo_live_range_test PASSED in 1.1s //tensorflow/compiler/xla/hlo/utils:hlo_matchers_test PASSED in 1.2s //tensorflow/compiler/xla/hlo/utils:hlo_sharding_util_test PASSED in 0.2s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:collective_ops.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:collective_ops_to_cpu_runtime.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:fft.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:legalize_i1_vector_transfers.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:lmhlo_custom_call.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:lmhlo_infeed.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:remove_copies_to_out_params.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:rng_bit_generator.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_abi_legalization.mlir.test PASSED in 1.1s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_memref_element_cast_to_llvm.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_outfeed.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:add_hlo_trace.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_launch.mlir.test PASSED in 1.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_memcpy.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_memset.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_case.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_custom_call.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_fft.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_cholesky.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_conv.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_cublas_lt_matmul.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_gpu_gemm.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_infeed.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_outfeed.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_send_recv.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_while.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:memref_get_global_to_arg.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:outline_cuda_graphs.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/mlir/framework/tests:legalize-xla-framework.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/framework/tests:outline-with-xla-framework.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/framework/tests:xla-framework.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/math/transforms/tests:math_optimization.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/memref/transforms/tests:aligned_allocations.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/runtime/ir/tests:ops.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/runtime/ir/tests:ops_verify.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/runtime/ir/tests:testlib.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/runtime/transforms:calling_convention_test PASSED in 0.2s //tensorflow/compiler/xla/mlir/runtime/transforms:type_converter_test PASSED in 0.5s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:compilation_pipeline.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:convert_asserts.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:convert_custom_calls.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:export_functions.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:ordinal_assignment.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/runtime/transforms/tests:rt_to_llvm.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:erase-op-without-results.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:inline-scf-while.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:reduce-scf-forall-bounds.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:replace-op-with-constant.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:replace-op-with-value.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:replace-operand-with-constant.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:return-operands-of-terminator-operands.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/rewrites/tests:truncate-function.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/tests:bisect.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/tests:no-bug.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/tools/mlir_bisect/tests:snapshot.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/tools/mlir_replay/public:execution_trace_utils_test PASSED in 0.2s //tensorflow/compiler/xla/mlir/utils:error_util_test PASSED in 0.2s //tensorflow/compiler/xla/mlir/xla_cpu/tests:bufferize.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/xla_cpu/tests:invalid.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/xla_cpu/tests:ops.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/bufferization/hlo_one_shot_bufferize.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/chlo/chlo_legalize_to_hlo_broadcasts.mlir.test PASSED in 0.9s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/chlo/chlo_legalize_to_hlo_no_broadcasts.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/chlo/chlo_legalize_to_mhlo.mlir.test PASSED in 1.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/chlo/sparse_chlo_legalize_to_linalg.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/buffer_reuse.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/convert_deallocation_ops_to_llvm.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/deallocate.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/deallocate_invalid.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/deallocation_ops.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/deallocation_simplification.mlir.test PASSED in 0.3s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/deallocation_to_scf.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/deallocation/split_alloc_tensors.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/add_debug_info.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/bufferization.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/collapse-shape.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/collect_stats.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir_hlo/tests:Dialect/gml_st/compose_extract_insert_slice.mlir.test PASSED in 0.4s 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PASSED in 0.9s //tensorflow/compiler/xla/service:all_gather_combiner_test PASSED in 0.9s //tensorflow/compiler/xla/service:all_gather_decomposer_test PASSED in 0.9s //tensorflow/compiler/xla/service:all_reduce_combiner_test PASSED in 0.9s //tensorflow/compiler/xla/service:all_reduce_contiguous_test PASSED in 1.0s //tensorflow/compiler/xla/service:all_reduce_folder_test PASSED in 1.0s //tensorflow/compiler/xla/service:all_reduce_promotion_test PASSED in 0.9s //tensorflow/compiler/xla/service:all_reduce_reassociate_test PASSED in 1.5s //tensorflow/compiler/xla/service:all_reduce_simplifier_test PASSED in 1.1s //tensorflow/compiler/xla/service:ar_crs_combiner_test PASSED in 1.1s //tensorflow/compiler/xla/service:async_collective_creator_test PASSED in 1.3s //tensorflow/compiler/xla/service:async_op_canonicalizer_test PASSED in 1.7s //tensorflow/compiler/xla/service:batch_dot_simplification_test PASSED in 1.3s //tensorflow/compiler/xla/service:batchnorm_expander_test_cpu PASSED in 9.2s //tensorflow/compiler/xla/service:bfloat16_conversion_folding_test PASSED in 0.9s //tensorflow/compiler/xla/service:bfloat16_propagation_test PASSED in 2.8s //tensorflow/compiler/xla/service:bitcast_dtypes_expander_test PASSED in 1.0s //tensorflow/compiler/xla/service:broadcast_canonicalizer_test PASSED in 1.6s //tensorflow/compiler/xla/service:buffer_assignment_test PASSED in 11.7s //tensorflow/compiler/xla/service:call_graph_test PASSED in 1.1s //tensorflow/compiler/xla/service:call_inliner_test PASSED in 1.4s //tensorflow/compiler/xla/service:change_op_data_type_test PASSED in 2.2s //tensorflow/compiler/xla/service:collective_ops_utils_test PASSED in 0.2s //tensorflow/compiler/xla/service:collectives_schedule_linearizer_test PASSED in 0.9s //tensorflow/compiler/xla/service:compilation_environments_test PASSED in 0.2s //tensorflow/compiler/xla/service:conditional_canonicalizer_test PASSED in 0.9s //tensorflow/compiler/xla/service:conditional_code_motion_test PASSED in 1.4s //tensorflow/compiler/xla/service:conditional_simplifier_test PASSED in 1.2s //tensorflow/compiler/xla/service:conditional_to_select_test PASSED in 1.3s //tensorflow/compiler/xla/service:convert_async_collectives_to_sync_test PASSED in 1.3s //tensorflow/compiler/xla/service:convert_mover_test PASSED in 1.0s //tensorflow/compiler/xla/service:convert_operand_folding_test PASSED in 1.0s //tensorflow/compiler/xla/service:convolution_4d_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:convolution_group_converter_test PASSED in 1.1s //tensorflow/compiler/xla/service:convolution_pred_expander_test PASSED in 1.6s //tensorflow/compiler/xla/service:copy_insertion_test PASSED in 1.0s //tensorflow/compiler/xla/service:custom_call_status_test PASSED in 0.2s //tensorflow/compiler/xla/service:defuser_test PASSED in 1.0s //tensorflow/compiler/xla/service:despecializer_test PASSED in 1.2s //tensorflow/compiler/xla/service:dfs_hlo_visitor_with_default_test PASSED in 1.0s //tensorflow/compiler/xla/service:dot_decomposer_test PASSED in 0.9s //tensorflow/compiler/xla/service:dot_merger_test PASSED in 1.2s //tensorflow/compiler/xla/service:dynamic_dimension_inference_test PASSED in 1.3s //tensorflow/compiler/xla/service:dynamic_dimension_simplifier_test PASSED in 0.9s //tensorflow/compiler/xla/service:dynamic_index_splitter_test PASSED in 1.3s //tensorflow/compiler/xla/service:dynamic_padder_test_cpu PASSED in 14.5s //tensorflow/compiler/xla/service:dynamic_parameter_binding_test PASSED in 1.0s //tensorflow/compiler/xla/service:dynamic_update_slice_test_cpu PASSED in 10.1s //tensorflow/compiler/xla/service:elemental_ir_emitter_test_cpu PASSED in 9.7s //tensorflow/compiler/xla/service:flatten_call_graph_test PASSED in 1.0s //tensorflow/compiler/xla/service:float_normalization_test PASSED in 0.9s //tensorflow/compiler/xla/service:fusion_node_indexing_evaluation_test PASSED in 1.2s //tensorflow/compiler/xla/service:gather_expander_test PASSED in 1.2s //tensorflow/compiler/xla/service:gather_simplifier_test PASSED in 1.4s //tensorflow/compiler/xla/service:heap_simulator_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_alias_analysis_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_casting_utils_test PASSED in 8.9s //tensorflow/compiler/xla/service:hlo_computation_deduplicator_test PASSED in 1.4s //tensorflow/compiler/xla/service:hlo_computation_test PASSED in 3.0s //tensorflow/compiler/xla/service:hlo_constant_folding_test PASSED in 4.8s //tensorflow/compiler/xla/service:hlo_cost_analysis_test PASSED in 6.4s //tensorflow/compiler/xla/service:hlo_creation_utils_test PASSED in 3.9s //tensorflow/compiler/xla/service:hlo_cse_test PASSED in 8.8s //tensorflow/compiler/xla/service:hlo_dataflow_analysis_test PASSED in 1.5s //tensorflow/compiler/xla/service:hlo_dce_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_domain_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_element_type_converter_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_execution_profile_test PASSED in 6.6s //tensorflow/compiler/xla/service:hlo_graph_dumper_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_input_output_alias_config_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_instruction_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_liveness_analysis_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_memory_scheduler_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_module_dce_test PASSED in 1.6s //tensorflow/compiler/xla/service:hlo_module_metadata_test PASSED in 0.1s //tensorflow/compiler/xla/service:hlo_module_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_opcode_test PASSED in 0.1s //tensorflow/compiler/xla/service:hlo_ordering_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_parser_test PASSED in 0.4s //tensorflow/compiler/xla/service:hlo_pass_pipeline_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_phi_graph_test PASSED in 0.2s //tensorflow/compiler/xla/service:hlo_proto_util_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_reachability_test PASSED in 1.2s //tensorflow/compiler/xla/service:hlo_rematerialization_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_rematerialization_test_utils_test PASSED in 1.0s //tensorflow/compiler/xla/service:hlo_replication_analysis_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_schedule_test PASSED in 0.9s //tensorflow/compiler/xla/service:hlo_sharding_test PASSED in 1.1s //tensorflow/compiler/xla/service:hlo_value_semantics_analysis_test PASSED in 0.8s //tensorflow/compiler/xla/service:hlo_verifier_test PASSED in 1.5s //tensorflow/compiler/xla/service:indexed_array_analysis_test PASSED in 1.5s //tensorflow/compiler/xla/service:instruction_fusion_test PASSED in 0.8s //tensorflow/compiler/xla/service:latency_hiding_scheduler_test PASSED in 1.1s //tensorflow/compiler/xla/service:layout_assignment_test PASSED in 6.4s //tensorflow/compiler/xla/service:layout_normalization_test PASSED in 2.0s //tensorflow/compiler/xla/service:logistic_expander_test PASSED in 1.3s //tensorflow/compiler/xla/service:loop_schedule_linearizer_test PASSED in 0.9s //tensorflow/compiler/xla/service:map_inliner_test PASSED in 1.4s //tensorflow/compiler/xla/service:mapped_ptr_container_sorter_test PASSED in 0.2s //tensorflow/compiler/xla/service:memory_space_assignment_best_fit_repacker_test PASSED in 0.4s //tensorflow/compiler/xla/service:memory_space_assignment_test PASSED in 5.0s //tensorflow/compiler/xla/service:memory_space_propagation_test PASSED in 1.0s //tensorflow/compiler/xla/service:name_uniquer_test PASSED in 0.6s //tensorflow/compiler/xla/service:operand_upcaster_test PASSED in 1.4s //tensorflow/compiler/xla/service:optimize_input_output_buffer_alias_test PASSED in 1.2s //tensorflow/compiler/xla/service:pattern_matcher_gmock_test PASSED in 0.2s //tensorflow/compiler/xla/service:pattern_matcher_test PASSED in 1.2s //tensorflow/compiler/xla/service:profile_guided_latency_estimator_test PASSED in 0.9s //tensorflow/compiler/xla/service:real_imag_expander_test PASSED in 1.7s //tensorflow/compiler/xla/service:reduce_decomposer_test PASSED in 0.9s //tensorflow/compiler/xla/service:reduce_scatter_combiner_test PASSED in 1.3s //tensorflow/compiler/xla/service:reduce_scatter_decomposer_test PASSED in 1.4s //tensorflow/compiler/xla/service:reduce_scatter_reassociate_test PASSED in 1.3s //tensorflow/compiler/xla/service:reshape_decomposer_test PASSED in 1.0s //tensorflow/compiler/xla/service:reshape_mover_test PASSED in 0.8s //tensorflow/compiler/xla/service:result_caster_test PASSED in 0.8s //tensorflow/compiler/xla/service:root_instruction_sinker_test PASSED in 1.1s //tensorflow/compiler/xla/service:scatter_expander_test PASSED in 1.3s //tensorflow/compiler/xla/service:scatter_simplifier_test PASSED in 1.2s //tensorflow/compiler/xla/service:select_and_scatter_expander_test PASSED in 1.0s //tensorflow/compiler/xla/service:shape_inference_test PASSED in 0.2s //tensorflow/compiler/xla/service:shaped_buffer_test PASSED in 6.2s //tensorflow/compiler/xla/service:sharding_propagation_test PASSED in 7.2s //tensorflow/compiler/xla/service:sharding_remover_test PASSED in 1.1s //tensorflow/compiler/xla/service:simplify_fp_conversions_test PASSED in 1.1s //tensorflow/compiler/xla/service:slice_sinker_test PASSED in 0.9s //tensorflow/compiler/xla/service:sort_simplifier_test PASSED in 0.9s //tensorflow/compiler/xla/service:space_to_batch_converter_test PASSED in 1.0s //tensorflow/compiler/xla/service:stable_sort_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:stochastic_convert_decomposer_test PASSED in 1.1s //tensorflow/compiler/xla/service:stream_pool_test PASSED in 0.2s //tensorflow/compiler/xla/service:topk_rewriter_test PASSED in 4.8s //tensorflow/compiler/xla/service:transpose_folding_test PASSED in 1.8s //tensorflow/compiler/xla/service:tuple_points_to_analysis_test PASSED in 1.2s //tensorflow/compiler/xla/service:tuple_simplifier_test PASSED in 1.3s //tensorflow/compiler/xla/service:tuple_util_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_loop_all_reduce_code_motion_test PASSED in 1.4s //tensorflow/compiler/xla/service:while_loop_analysis_test PASSED in 0.9s //tensorflow/compiler/xla/service:while_loop_concat_code_motion_test PASSED in 1.2s //tensorflow/compiler/xla/service:while_loop_constant_sinking_test PASSED in 1.1s //tensorflow/compiler/xla/service:while_loop_expensive_invariant_code_motion_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_loop_invariant_code_motion_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_loop_simplifier_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_loop_trip_count_annotator_test PASSED in 0.8s //tensorflow/compiler/xla/service:while_util_test PASSED in 1.2s //tensorflow/compiler/xla/service:xla_aot_compile_stablehlo_cpu_test PASSED in 8.8s //tensorflow/compiler/xla/service:xla_debug_info_manager_test PASSED in 0.8s //tensorflow/compiler/xla/service:zero_sized_hlo_elimination_test PASSED in 1.1s //tensorflow/compiler/xla/service/cpu:conv_canonicalization_test PASSED in 1.6s //tensorflow/compiler/xla/service/cpu:cpu_eigen_tensor_alignment_test PASSED in 1.4s //tensorflow/compiler/xla/service/cpu:cpu_instruction_fusion_test PASSED in 1.1s //tensorflow/compiler/xla/service/cpu:cpu_layout_assignment_test PASSED in 2.7s //tensorflow/compiler/xla/service/cpu:ir_emission_utils_test PASSED in 1.3s //tensorflow/compiler/xla/service/cpu:parallel_task_assignment_test PASSED in 2.7s //tensorflow/compiler/xla/service/cpu:runtime_fft_test PASSED in 0.2s //tensorflow/compiler/xla/service/cpu:shape_partition_test PASSED in 1.3s //tensorflow/compiler/xla/service/cpu:xfeed_manager_test PASSED in 0.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_bytesizeof_test PASSED in 0.5s //tensorflow/compiler/xla/service/cpu/tests:cpu_dyn_shape_test PASSED in 7.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_eigen_dot_operation_test PASSED in 7.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_external_constants_test PASSED in 25.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_fusion_test PASSED in 7.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_infeed_test PASSED in 7.5s //tensorflow/compiler/xla/service/cpu/tests:cpu_intrinsic_test PASSED in 10.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_key_value_sort_test PASSED in 7.1s //tensorflow/compiler/xla/service/cpu/tests:cpu_literal_caching_test PASSED in 7.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_noalias_test PASSED in 8.1s //tensorflow/compiler/xla/service/cpu/tests:cpu_outfeed_test PASSED in 7.3s //tensorflow/compiler/xla/service/cpu/tests:cpu_profiling_test PASSED in 10.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_spmd_compile_test PASSED in 6.8s //tensorflow/compiler/xla/service/cpu/tests:cpu_topk_test PASSED in 9.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_vectorization_test PASSED in 13.8s //tensorflow/compiler/xla/service/cpu/tests:cpu_while_test PASSED in 8.5s //tensorflow/compiler/xla/service/cpu/tests:tree_reduction_rewriter_test PASSED in 8.5s //tensorflow/compiler/xla/service/gpu:alias_passthrough_params_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:all_reduce_blueconnect_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:cublas_pad_for_gemms_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu:cudnn_pad_for_convolutions_test PASSED in 4.3s //tensorflow/compiler/xla/service/gpu:cudnn_simplify_padding_test PASSED in 3.3s //tensorflow/compiler/xla/service/gpu:cudnn_support_utils_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:cudnn_vectorize_convolutions_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:fusion_merger_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu:gemm_rewriter_triton_test PASSED in 2.1s //tensorflow/compiler/xla/service/gpu:gpu_conv_padding_legalization_test PASSED in 1.0s //tensorflow/compiler/xla/service/gpu:gpu_conv_rewriter_test PASSED in 0.8s //tensorflow/compiler/xla/service/gpu:gpu_fusible_test PASSED in 3.7s //tensorflow/compiler/xla/service/gpu:gpu_hlo_cost_analysis_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:gpu_performance_model_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:gpu_sanitize_constant_names_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:hlo_algorithm_denylist_test PASSED in 0.1s //tensorflow/compiler/xla/service/gpu:hlo_fusion_stats_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:instruction_fusion_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:ir_emission_utils_test PASSED in 1.8s //tensorflow/compiler/xla/service/gpu:matmul_utils_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:move_copy_to_users_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:multi_output_fusion_test PASSED in 2.7s //tensorflow/compiler/xla/service/gpu:non_atomically_upgradeable_rw_lock_test PASSED in 0.1s //tensorflow/compiler/xla/service/gpu:reduction_splitter_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:scatter_slice_simplifier_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:target_util_test PASSED in 0.5s //tensorflow/compiler/xla/service/gpu:variadic_op_splitter_test PASSED in 1.2s //tensorflow/compiler/xla/service/gpu:while_transformer_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu/llvm_gpu_backend:utils_test PASSED in 0.4s //tensorflow/compiler/xla/service/gpu/tests:gpu_reduce_scatter_creator_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu/tests:reduction_degenerate_dim_remover_test PASSED in 2.0s //tensorflow/compiler/xla/service/gpu/tests:reduction_dimension_grouper_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu/tests:tree_reduction_rewriter_test PASSED in 2.4s //tensorflow/compiler/xla/service/graphcycles:graphcycles_test PASSED in 0.7s //tensorflow/compiler/xla/service/graphcycles:ordered_set_test PASSED in 0.7s //tensorflow/compiler/xla/service/llvm_ir:alias_analysis_test PASSED in 8.6s //tensorflow/compiler/xla/service/llvm_ir:ir_array_test PASSED in 0.5s //tensorflow/compiler/xla/service/spmd:canonicalize_all_gather_for_cse_test PASSED in 1.4s //tensorflow/compiler/xla/service/spmd:collective_permute_motion_test PASSED in 1.8s //tensorflow/compiler/xla/service/spmd:partition_assignment_test PASSED in 0.8s //tensorflow/compiler/xla/service/spmd:schedule_aware_collective_ops_cse_test PASSED in 1.0s //tensorflow/compiler/xla/service/spmd:spmd_partitioner_test PASSED in 3.6s //tensorflow/compiler/xla/service/spmd:stateful_rng_spmd_partitioner_test PASSED in 1.1s //tensorflow/compiler/xla/stream_executor:dnn_test PASSED in 0.2s //tensorflow/compiler/xla/stream_executor:stream_test PASSED in 0.3s //tensorflow/compiler/xla/stream_executor/host:host_stream_test PASSED in 0.2s //tensorflow/compiler/xla/tests:all_reduce_test_cpu PASSED in 8.6s //tensorflow/compiler/xla/tests:axpy_simple_test_cpu PASSED in 6.9s //tensorflow/compiler/xla/tests:bad_rng_shape_validation_test_cpu PASSED in 9.4s //tensorflow/compiler/xla/tests:binop_scaling_test_cpu PASSED in 7.7s //tensorflow/compiler/xla/tests:bitcast_convert_test_cpu PASSED in 9.7s //tensorflow/compiler/xla/tests:broadcast_simple_test_cpu PASSED in 8.6s //tensorflow/compiler/xla/tests:broadcast_test_cpu PASSED in 9.4s //tensorflow/compiler/xla/tests:buffer_donation_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:call_test_cpu PASSED in 8.9s //tensorflow/compiler/xla/tests:check_execution_arity_test_cpu PASSED in 7.3s //tensorflow/compiler/xla/tests:cholesky_test_cpu PASSED in 15.7s //tensorflow/compiler/xla/tests:client_test_cpu PASSED in 10.2s //tensorflow/compiler/xla/tests:collective_ops_test_cpu PASSED in 20.6s //tensorflow/compiler/xla/tests:compilation_cache_test_cpu PASSED in 8.5s //tensorflow/compiler/xla/tests:compute_constant_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:concat_test_cpu PASSED in 11.0s //tensorflow/compiler/xla/tests:constant_reduction_function_test_cpu PASSED in 8.4s //tensorflow/compiler/xla/tests:constants_test_cpu PASSED in 8.3s //tensorflow/compiler/xla/tests:convert_test_cpu PASSED in 7.8s //tensorflow/compiler/xla/tests:copy_test_cpu PASSED in 10.4s //tensorflow/compiler/xla/tests:cpu_gpu_fusion_test_cpu PASSED in 11.9s //tensorflow/compiler/xla/tests:custom_call_test_cpu PASSED in 8.8s //tensorflow/compiler/xla/tests:deallocation_test_cpu PASSED in 6.4s //tensorflow/compiler/xla/tests:deconstruct_tuple_test_cpu PASSED in 6.9s //tensorflow/compiler/xla/tests:deep_graph_test_cpu PASSED in 6.5s //tensorflow/compiler/xla/tests:execution_profile_test_cpu PASSED in 10.2s //tensorflow/compiler/xla/tests:fft_test_cpu PASSED in 7.8s //tensorflow/compiler/xla/tests:float8_test_cpu PASSED in 7.8s //tensorflow/compiler/xla/tests:floor_ceil_test_cpu PASSED in 8.3s //tensorflow/compiler/xla/tests:fmax_fmin_test_cpu PASSED in 6.7s //tensorflow/compiler/xla/tests:gather_operation_test_cpu PASSED in 11.1s //tensorflow/compiler/xla/tests:get_dimension_size_test_cpu PASSED in 8.2s //tensorflow/compiler/xla/tests:half_test_cpu PASSED in 7.8s //tensorflow/compiler/xla/tests:hlo_metadata_test PASSED in 7.5s //tensorflow/compiler/xla/tests:literal_test_util_test PASSED in 5.3s //tensorflow/compiler/xla/tests:local_client_allocation_test_cpu PASSED in 7.5s //tensorflow/compiler/xla/tests:local_client_aot_test PASSED in 0.4s //tensorflow/compiler/xla/tests:log_test_cpu PASSED in 7.7s //tensorflow/compiler/xla/tests:map_test_cpu PASSED in 9.0s //tensorflow/compiler/xla/tests:matrix_ops_simple_test_cpu PASSED in 14.5s 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//tensorflow/compiler/xla/tests/fuzz:rand_96_cpu PASSED in 8.9s //tensorflow/compiler/xla/tests/fuzz:rand_97_cpu PASSED in 7.5s //tensorflow/compiler/xla/tests/fuzz:rand_98_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests/fuzz:rand_99_cpu PASSED in 8.4s //tensorflow/compiler/xla/tests/fuzz:rand_9_cpu PASSED in 9.7s //tensorflow/compiler/xla/tools:hlo_control_flow_flattening_test PASSED in 0.9s //tensorflow/compiler/xla/tools:hlo_extractor_test PASSED in 1.4s //tensorflow/compiler/xla/tools:hlo_module_loader_test PASSED in 0.9s //tensorflow/compiler/xla/tools:interactive_graphviz_bin_test PASSED in 0.3s //tensorflow/compiler/xla/tools:run_hlo_module_bin_test PASSED in 0.5s //tensorflow/compiler/xla/tools/hlo_bisect:hlo_bisect_state_test PASSED in 1.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo:hlo_utils_test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo:mlir_hlo_builder_test PASSED in 2.1s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:bool_compare.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:case_conditional.hlotxt.test PASSED in 0.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:dynamic_param.hlo.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:entry_computation_layout.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:frontend_attributes.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fully_connected_reference_model.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fusion.hlotxt.test PASSED in 0.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:if_conditional.hlotxt.test PASSED in 0.9s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import_async.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:layouts_and_names.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:location.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:module_attributes.hlo.test PASSED in 0.9s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:simple.hlo.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:spmd_module_sharding.hlo.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:types.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:while.hlotxt.test PASSED in 0.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo:type_to_shape_test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:add.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:case.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:dynamic.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export-with-layouts.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export.mlir.test PASSED in 3.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_and_check_layouts.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_large_constants.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:export_replicas.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:frontend_attributes.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:fusion.mlir.test PASSED in 1.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:if.mlir.test PASSED in 1.0s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:input_output_aliasing.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:layouts_and_names.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:location_to_op_metadata.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:missing_main.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:module_attributes.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:multiple_return_tuple.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:opaque_elements_attr.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:rng_get_and_update_state.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:sharding.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:simple.mlir.test PASSED in 1.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:unsupported_type.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_hlo/tests:while.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:hlo_text_to_lhlo_no_opt.hlotxt.test PASSED in 4.0s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:no_opt_ops.hlotxt.test PASSED in 0.8s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:non_identity_layouts.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:ops.mlir.test PASSED in 4.7s //tensorflow/compiler/xla/translate/mhlo_to_lhlo_with_xla/tests:passthrough.mlir.test PASSED in 0.5s //tensorflow/core:__tensorflow_core_lib_core_legacy_lib_core_all_tests PASSED in 14.1s //tensorflow/core:__tensorflow_core_lib_gtl_legacy_lib_gtl_tests PASSED in 0.7s //tensorflow/core:__tensorflow_core_lib_monitoring_cell_reader_test PASSED in 36.6s //tensorflow/core:__tensorflow_core_lib_monitoring_collection_registry_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_counter_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_gauge_test PASSED in 0.2s //tensorflow/core:__tensorflow_core_lib_monitoring_metric_def_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_percentile_sampler_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_sampler_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_test_utils_test PASSED in 1.0s //tensorflow/core:__tensorflow_core_lib_strings_legacy_low_level_library_tests PASSED in 0.3s //tensorflow/core:__tensorflow_core_lib_wav_wav_io_test PASSED in 0.2s //tensorflow/core:__tensorflow_core_util_mkl_util_test_srcs PASSED in 0.3s //tensorflow/core:__tensorflow_tsl_lib_core_legacy_lib_core_all_tests PASSED in 2.9s //tensorflow/core:lib_strings_ordered_code_test PASSED in 1.3s //tensorflow/core:lib_strings_proto_serialization_test PASSED in 0.1s //tensorflow/core/api_def:api_test PASSED in 3.6s //tensorflow/core/api_def:update_api_def_test PASSED in 0.3s 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2.4s //tensorflow/core/common_runtime:direct_session_with_debug_test PASSED in 2.1s //tensorflow/core/common_runtime:direct_session_with_tracking_alloc_test PASSED in 0.8s //tensorflow/core/common_runtime:dynamic_device_mgr_test PASSED in 1.2s //tensorflow/core/common_runtime:eval_const_tensor_test PASSED in 0.8s //tensorflow/core/common_runtime:executor_test PASSED in 1.8s //tensorflow/core/common_runtime:function_optimization_registration_test PASSED in 0.9s //tensorflow/core/common_runtime:function_optimization_registry_no_pass_test PASSED in 1.3s //tensorflow/core/common_runtime:function_optimization_registry_pass_failure_test PASSED in 0.7s //tensorflow/core/common_runtime:function_optimization_registry_test PASSED in 1.4s //tensorflow/core/common_runtime:function_threadpool_test PASSED in 0.7s //tensorflow/core/common_runtime:graph_constructor_test PASSED in 1.8s //tensorflow/core/common_runtime:graph_runner_test PASSED in 0.8s 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//tensorflow/core/common_runtime:replicate_per_replica_nodes_test PASSED in 0.6s //tensorflow/core/common_runtime:request_cost_accessor_registry_test PASSED in 2.5s //tensorflow/core/common_runtime:request_cost_test PASSED in 0.1s //tensorflow/core/common_runtime:ring_gatherer_test_cpu PASSED in 3.2s //tensorflow/core/common_runtime:ring_reducer_test_cpu PASSED in 12.1s //tensorflow/core/common_runtime:scoped_allocator_mgr_test PASSED in 4.4s //tensorflow/core/common_runtime:session_test PASSED in 0.8s //tensorflow/core/common_runtime:shape_refiner_test PASSED in 0.9s //tensorflow/core/common_runtime:single_threaded_executor_test PASSED in 1.1s //tensorflow/core/common_runtime:threadpool_device_test PASSED in 0.9s //tensorflow/core/common_runtime:type_inference_test PASSED in 2.0s //tensorflow/core/common_runtime/eager:attr_builder_test PASSED in 23.4s //tensorflow/core/common_runtime/eager:context_test PASSED in 10.3s //tensorflow/core/common_runtime/eager:custom_device_test PASSED in 10.4s //tensorflow/core/common_runtime/eager:eager_executor_test PASSED in 9.8s //tensorflow/core/common_runtime/eager:eager_op_rewrite_registry_test PASSED in 0.9s //tensorflow/core/common_runtime/eager:eager_operation_test PASSED in 13.6s //tensorflow/core/common_runtime/eager:execute_node_test PASSED in 9.8s //tensorflow/core/common_runtime/eager:execute_test PASSED in 22.0s //tensorflow/core/common_runtime/eager:kernel_and_device_test PASSED in 0.8s //tensorflow/core/common_runtime/eager:mkl_eager_op_rewrite_test PASSED in 12.1s //tensorflow/core/common_runtime/eager:placement_test PASSED in 10.6s //tensorflow/core/common_runtime/eager:placement_utils_test PASSED in 11.8s //tensorflow/core/common_runtime/eager:tensor_handle_data_test PASSED in 11.2s //tensorflow/core/common_runtime/eager:tensor_handle_test PASSED in 16.6s //tensorflow/core/common_runtime/gpu:gpu_device_on_non_gpu_machine_test PASSED in 0.2s //tensorflow/core/common_runtime/next_pluggable_device/c:plugin_c_api_test PASSED in 28.4s //tensorflow/core/config:flags_py_test PASSED in 6.7s //tensorflow/core/config:flags_test PASSED in 0.1s //tensorflow/core/data:compression_utils_test PASSED in 1.8s //tensorflow/core/data:dataset_utils_test PASSED in 0.6s //tensorflow/core/data:hash_utils_test PASSED in 0.9s //tensorflow/core/data:metric_utils_test PASSED in 5.8s //tensorflow/core/data:name_utils_test PASSED in 0.1s //tensorflow/core/data:rewrite_utils_test PASSED in 0.6s //tensorflow/core/data:serialization_utils_test PASSED in 0.7s //tensorflow/core/data:snapshot_utils_test PASSED in 1.0s //tensorflow/core/data:split_utils_test PASSED in 0.5s //tensorflow/core/data:standalone_save_restore_test PASSED in 4.6s //tensorflow/core/data:standalone_test PASSED in 1.5s //tensorflow/core/data:tfdataz_metrics_test PASSED in 1.5s //tensorflow/core/data:unbounded_thread_pool_test PASSED in 0.8s //tensorflow/core/data/service:auto_shard_rewriter_test PASSED in 1.0s //tensorflow/core/data/service:common_test PASSED in 0.2s //tensorflow/core/data/service:credentials_factory_test PASSED in 0.6s //tensorflow/core/data/service:cross_trainer_cache_test PASSED in 1.7s //tensorflow/core/data/service:data_service_test PASSED in 15.2s //tensorflow/core/data/service:data_transfer_test PASSED in 0.7s //tensorflow/core/data/service:dataset_store_test PASSED in 1.1s //tensorflow/core/data/service:dispatcher_client_test PASSED in 3.7s //tensorflow/core/data/service:dispatcher_state_test PASSED in 0.5s //tensorflow/core/data/service:grpc_dispatcher_impl_test PASSED in 2.8s //tensorflow/core/data/service:grpc_util_test PASSED in 0.9s //tensorflow/core/data/service:grpc_worker_impl_test PASSED in 3.5s //tensorflow/core/data/service:journal_test PASSED in 0.5s //tensorflow/core/data/service:logging_utils_test PASSED in 0.2s //tensorflow/core/data/service:task_runner_test PASSED in 3.0s //tensorflow/core/data/service:test_util_test PASSED in 2.2s //tensorflow/core/data/service:url_test PASSED in 0.2s //tensorflow/core/data/service:utils_test PASSED in 0.6s //tensorflow/core/data/service:validate_utils_test PASSED in 0.1s //tensorflow/core/data/service:worker_client_test PASSED in 3.3s //tensorflow/core/data/service:worker_impl_test PASSED in 2.7s //tensorflow/core/data/service/client:data_service_client_test PASSED in 4.3s //tensorflow/core/data/service/client:utils_test PASSED in 2.8s //tensorflow/core/data/service/client:validate_utils_test PASSED in 1.9s //tensorflow/core/data/service/snapshot:distributed_snapshot_test PASSED in 20.3s //tensorflow/core/data/service/snapshot:file_utils_test PASSED in 0.6s //tensorflow/core/data/service/snapshot:path_utils_test PASSED in 0.2s //tensorflow/core/data/service/snapshot:snapshot_manager_test PASSED in 2.3s //tensorflow/core/data/service/snapshot:snapshot_split_provider_test PASSED in 0.7s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_checkpoint_test PASSED in 4.3s //tensorflow/core/data/service/snapshot:snapshot_stream_writer_test PASSED in 3.1s //tensorflow/core/data/service/snapshot:utils_test PASSED in 0.2s //tensorflow/core/debug:debug_graph_utils_test PASSED in 0.5s //tensorflow/core/distributed_runtime:call_options_test PASSED in 0.2s //tensorflow/core/distributed_runtime:cluster_function_library_runtime_test PASSED in 3.6s //tensorflow/core/distributed_runtime:collective_param_resolver_distributed_test PASSED in 0.9s //tensorflow/core/distributed_runtime:collective_rma_distributed_test PASSED in 0.6s //tensorflow/core/distributed_runtime:device_resolver_distributed_test PASSED in 0.9s //tensorflow/core/distributed_runtime:message_wrappers_test PASSED in 0.1s //tensorflow/core/distributed_runtime:partial_run_mgr_test PASSED in 0.5s //tensorflow/core/distributed_runtime:recent_request_ids_test PASSED in 0.2s //tensorflow/core/distributed_runtime:request_id_test PASSED in 0.2s //tensorflow/core/distributed_runtime:rpc_collective_executor_mgr_test PASSED in 0.9s //tensorflow/core/distributed_runtime:server_lib_test PASSED in 0.3s //tensorflow/core/distributed_runtime:session_mgr_test PASSED in 1.4s //tensorflow/core/distributed_runtime:tensor_coding_test PASSED in 0.1s //tensorflow/core/distributed_runtime/coordination:coordination_service_barrier_proxy_test PASSED in 3.8s //tensorflow/core/distributed_runtime/eager:eager_service_impl_test PASSED in 18.9s //tensorflow/core/distributed_runtime/eager:remote_mgr_test PASSED in 10.8s //tensorflow/core/distributed_runtime/integration_test:c_api_coordination_test_cpu PASSED in 41.9s //tensorflow/core/distributed_runtime/integration_test:c_api_multi_client_test_cpu PASSED in 36.5s //tensorflow/core/distributed_runtime/integration_test:c_api_recoverable_jobs_test_cpu PASSED in 41.7s //tensorflow/core/distributed_runtime/integration_test:c_api_session_coordination_test_cpu PASSED in 24.3s //tensorflow/core/distributed_runtime/rpc:grpc_tensor_coding_test PASSED in 3.0s //tensorflow/core/distributed_runtime/rpc:grpc_worker_cache_test PASSED in 1.2s //tensorflow/core/distributed_runtime/rpc/eager:grpc_eager_client_test PASSED in 0.6s //tensorflow/core/example:example_parser_configuration_test PASSED in 0.8s //tensorflow/core/example:feature_util_test PASSED in 0.4s //tensorflow/core/framework:allocator_test PASSED in 4.2s //tensorflow/core/framework:attr_value_util_test PASSED in 1.2s //tensorflow/core/framework:batch_util_test PASSED in 1.2s //tensorflow/core/framework:bfloat16_test PASSED in 0.9s //tensorflow/core/framework:common_shape_fns_test PASSED in 1.4s //tensorflow/core/framework:dataset_test PASSED in 1.0s //tensorflow/core/framework:device_base_test PASSED in 1.3s //tensorflow/core/framework:disable_jit_test PASSED in 1.7s //tensorflow/core/framework:framework_op_gen_lib_test PASSED in 0.4s //tensorflow/core/framework:framework_op_segment_test PASSED in 0.7s //tensorflow/core/framework:framework_resource_var_test PASSED in 0.2s //tensorflow/core/framework:framework_run_handler_test PASSED in 1.2s //tensorflow/core/framework:framework_run_handler_util_test PASSED in 2.1s //tensorflow/core/framework:full_type_inference_util_test PASSED in 0.9s //tensorflow/core/framework:full_type_util_test PASSED in 1.0s //tensorflow/core/framework:function_test PASSED in 1.0s //tensorflow/core/framework:graph_def_util_test PASSED in 0.7s //tensorflow/core/framework:graph_to_functiondef_test PASSED in 1.0s //tensorflow/core/framework:kernel_def_builder_test PASSED in 1.7s //tensorflow/core/framework:kernel_def_util_test PASSED in 0.9s //tensorflow/core/framework:memory_types_test PASSED in 1.4s //tensorflow/core/framework:model_test PASSED in 1.1s //tensorflow/core/framework:node_def_builder_test PASSED in 1.1s //tensorflow/core/framework:node_def_util_test PASSED in 0.8s //tensorflow/core/framework:node_properties_test PASSED in 1.5s //tensorflow/core/framework:op_compatibility_test PASSED in 1.8s //tensorflow/core/framework:op_def_builder_test PASSED in 1.1s //tensorflow/core/framework:op_def_util_test PASSED in 0.9s //tensorflow/core/framework:op_kernel_test PASSED in 1.0s //tensorflow/core/framework:op_registration_test PASSED in 0.9s //tensorflow/core/framework:partial_tensor_shape_test PASSED in 0.8s //tensorflow/core/framework:rendezvous_test PASSED in 3.3s //tensorflow/core/framework:resource_handle_test PASSED in 0.1s //tensorflow/core/framework:resource_mgr_test PASSED in 2.0s //tensorflow/core/framework:resource_op_kernel_test PASSED in 1.1s //tensorflow/core/framework:shape_inference_test PASSED in 0.7s //tensorflow/core/framework:shape_inference_testutil_test PASSED in 1.2s //tensorflow/core/framework:tensor_shape_test PASSED in 7.1s //tensorflow/core/framework:tensor_slice_test PASSED in 1.6s //tensorflow/core/framework:tensor_test PASSED in 30.0s //tensorflow/core/framework:tensor_testutil_test PASSED in 1.0s //tensorflow/core/framework:tensor_util_test PASSED in 0.9s //tensorflow/core/framework:tracking_allocator_test PASSED in 1.6s //tensorflow/core/framework:types_test PASSED in 0.8s //tensorflow/core/framework:variant_op_registry_test PASSED in 17.5s //tensorflow/core/framework:variant_test PASSED in 1.3s //tensorflow/core/framework/registration:registration_test PASSED in 1.1s //tensorflow/core/function/capture:by_ref_capture_test PASSED in 7.5s //tensorflow/core/function/capture:capture_container_test PASSED in 19.2s //tensorflow/core/function/integration_test:side_inputs_manual_api_test PASSED in 16.0s //tensorflow/core/function/integration_test:side_inputs_test PASSED in 14.7s //tensorflow/core/function/polymorphism:function_cache_test PASSED in 6.8s //tensorflow/core/function/polymorphism:function_type_test PASSED in 7.8s //tensorflow/core/function/polymorphism:type_dispatch_test PASSED in 8.1s //tensorflow/core/function/runtime_client:runtime_client_cc_test PASSED in 42.4s //tensorflow/core/function/trace_type:default_types_test PASSED in 6.7s //tensorflow/core/function/trace_type:serialization_test PASSED in 7.2s //tensorflow/core/function/trace_type:trace_type_test PASSED in 10.3s //tensorflow/core/graph:algorithm_test PASSED in 1.1s //tensorflow/core/graph:collective_order_test PASSED in 0.6s //tensorflow/core/graph:control_flow_test PASSED in 1.2s //tensorflow/core/graph:costmodel_test PASSED in 1.1s //tensorflow/core/graph:edgeset_test PASSED in 1.1s //tensorflow/core/graph:graph_def_builder_test PASSED in 1.0s //tensorflow/core/graph:graph_partition_test PASSED in 2.8s //tensorflow/core/graph:graph_test PASSED in 1.2s //tensorflow/core/graph:node_builder_test PASSED in 0.8s //tensorflow/core/graph:optimizer_cse_test PASSED in 1.5s //tensorflow/core/graph:subgraph_test PASSED in 1.3s //tensorflow/core/graph:tensor_id_test PASSED in 1.3s //tensorflow/core/graph:validate_test PASSED in 1.0s //tensorflow/core/graph/regularization:simple_delete_test PASSED in 0.3s //tensorflow/core/graph/regularization:util_test PASSED in 0.3s //tensorflow/core/grappler:graph_topology_view_test PASSED in 0.1s //tensorflow/core/grappler:graph_view_test PASSED in 1.2s //tensorflow/core/grappler:grappler_item_builder_test PASSED in 3.6s //tensorflow/core/grappler:grappler_item_test PASSED in 1.5s //tensorflow/core/grappler:mutable_graph_view_test PASSED in 1.8s //tensorflow/core/grappler:utils_test PASSED in 2.7s //tensorflow/core/grappler/clusters:single_machine_test PASSED in 24.7s //tensorflow/core/grappler/clusters:virtual_cluster_test PASSED in 1.6s //tensorflow/core/grappler/costs:analytical_cost_estimator_test PASSED in 1.5s //tensorflow/core/grappler/costs:cost_estimator_test PASSED in 0.1s //tensorflow/core/grappler/costs:graph_memory_test PASSED in 1.4s //tensorflow/core/grappler/costs:graph_properties_test PASSED in 3.4s //tensorflow/core/grappler/costs:robust_stats_test PASSED in 0.1s //tensorflow/core/grappler/costs:utils_test PASSED in 1.6s //tensorflow/core/grappler/costs:virtual_placer_test PASSED in 0.4s //tensorflow/core/grappler/costs:virtual_scheduler_test PASSED in 2.0s //tensorflow/core/grappler/graph_analyzer:gen_node_test PASSED in 2.0s //tensorflow/core/grappler/graph_analyzer:graph_analyzer_test PASSED in 1.7s //tensorflow/core/grappler/graph_analyzer:hash_tools_test PASSED in 1.9s //tensorflow/core/grappler/graph_analyzer:sig_node_test PASSED in 2.4s //tensorflow/core/grappler/graph_analyzer:subgraph_test PASSED in 1.6s //tensorflow/core/grappler/inputs:utils_test PASSED in 0.2s //tensorflow/core/grappler/optimizers:arithmetic_optimizer_test_cpu PASSED in 3.1s //tensorflow/core/grappler/optimizers:auto_mixed_precision_test_cpu PASSED in 2.1s //tensorflow/core/grappler/optimizers:auto_parallel_test_cpu PASSED in 1.8s //tensorflow/core/grappler/optimizers:common_subgraph_elimination_test_cpu PASSED in 2.1s //tensorflow/core/grappler/optimizers:custom_graph_optimizer_registry_test_cpu PASSED in 4.4s //tensorflow/core/grappler/optimizers:debug_stripper_test_cpu PASSED in 1.8s //tensorflow/core/grappler/optimizers:dependency_optimizer_test_cpu PASSED in 2.5s //tensorflow/core/grappler/optimizers:evaluation_utils_test PASSED in 0.5s //tensorflow/core/grappler/optimizers:function_api_info_test PASSED in 0.1s //tensorflow/core/grappler/optimizers:function_optimizer_test_cpu PASSED in 2.5s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_test_cpu PASSED in 2.2s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_transposer_factory_test PASSED in 0.5s //tensorflow/core/grappler/optimizers:generic_layout_optimizer_transposer_test_cpu PASSED in 2.5s //tensorflow/core/grappler/optimizers:graph_optimizer_stage_test_cpu PASSED in 1.4s //tensorflow/core/grappler/optimizers:implementation_selector_test PASSED in 1.6s //tensorflow/core/grappler/optimizers:loop_optimizer_test_cpu PASSED in 2.1s //tensorflow/core/grappler/optimizers:memory_optimizer_test_cpu PASSED in 1.6s //tensorflow/core/grappler/optimizers:meta_optimizer_test_cpu PASSED in 8.0s //tensorflow/core/grappler/optimizers:mkl_remapper_test PASSED in 2.3s //tensorflow/core/grappler/optimizers:model_pruner_test_cpu PASSED in 2.0s //tensorflow/core/grappler/optimizers:pin_to_host_optimizer_test_cpu PASSED in 1.9s //tensorflow/core/grappler/optimizers:remapper_test_cpu PASSED in 2.9s //tensorflow/core/grappler/optimizers:scoped_allocator_optimizer_test PASSED in 2.1s //tensorflow/core/grappler/optimizers:shape_optimizer_test_cpu PASSED in 2.9s //tensorflow/core/grappler/optimizers:static_schedule_test_cpu PASSED in 1.5s //tensorflow/core/grappler/optimizers:tfg_optimizer_hook_test PASSED in 1.1s //tensorflow/core/grappler/optimizers/data:auto_shard_test PASSED in 0.8s //tensorflow/core/grappler/optimizers/data:autotune_buffer_sizes_test PASSED in 0.7s //tensorflow/core/grappler/optimizers/data:batch_parallelization_test PASSED in 0.9s //tensorflow/core/grappler/optimizers/data:disable_intra_op_parallelism_test PASSED in 1.5s //tensorflow/core/grappler/optimizers/data:disable_prefetch_legacy_autotune_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:enable_gradient_descent_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:filter_fusion_test PASSED in 1.8s //tensorflow/core/grappler/optimizers/data:filter_parallelization_test PASSED in 1.1s //tensorflow/core/grappler/optimizers/data:function_utils_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:fusion_utils_test PASSED in 1.1s //tensorflow/core/grappler/optimizers/data:graph_utils_test PASSED in 1.0s //tensorflow/core/grappler/optimizers/data:inject_prefetch_test PASSED in 1.3s //tensorflow/core/grappler/optimizers/data:make_deterministic_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:make_sloppy_test PASSED in 1.1s //tensorflow/core/grappler/optimizers/data:map_and_batch_fusion_test PASSED in 0.3s //tensorflow/core/grappler/optimizers/data:map_and_filter_fusion_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:map_fusion_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:map_parallelization_test PASSED in 0.8s //tensorflow/core/grappler/optimizers/data:noop_elimination_test PASSED in 0.4s //tensorflow/core/grappler/optimizers/data:parallel_batch_test PASSED in 0.5s //tensorflow/core/grappler/optimizers/data:replicate_on_split_test PASSED in 0.6s //tensorflow/core/grappler/optimizers/data:shuffle_and_repeat_fusion_test PASSED in 0.4s //tensorflow/core/grappler/optimizers/data:slack_test PASSED in 1.1s //tensorflow/core/grappler/optimizers/data:split_utils_test PASSED in 1.1s //tensorflow/core/grappler/optimizers/data:use_private_thread_pool_test PASSED in 1.1s //tensorflow/core/grappler/optimizers/inference:batch_op_rewriter_test PASSED in 0.1s //tensorflow/core/grappler/utils:canonicalizer_test PASSED in 1.3s //tensorflow/core/grappler/utils:colocation_test PASSED in 0.7s //tensorflow/core/grappler/utils:frame_test PASSED in 0.9s //tensorflow/core/grappler/utils:functions_test PASSED in 1.5s //tensorflow/core/grappler/utils:graph_view_internal_test PASSED in 0.6s //tensorflow/core/grappler/utils:graph_view_test PASSED in 1.8s //tensorflow/core/grappler/utils:grappler_test_test PASSED in 7.7s //tensorflow/core/grappler/utils:pattern_utils_test PASSED in 0.9s //tensorflow/core/grappler/utils:scc_test PASSED in 1.8s //tensorflow/core/grappler/utils:symbolic_shapes_test PASSED in 0.1s //tensorflow/core/grappler/utils:topological_sort_test PASSED in 0.5s //tensorflow/core/grappler/utils:tpu_test PASSED in 0.3s //tensorflow/core/grappler/utils:transitive_fanin_test PASSED in 0.5s //tensorflow/core/grappler/utils:traversal_test PASSED in 0.7s //tensorflow/core/grappler/verifiers:structure_verifier_test PASSED in 1.5s //tensorflow/core/ir:interfaces_test PASSED in 0.5s //tensorflow/core/ir:ops_test 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//tensorflow/core/kernels:sparse_to_dense_op_test_cpu PASSED in 0.9s //tensorflow/core/kernels:sparse_utils_test PASSED in 0.3s //tensorflow/core/kernels:sparse_xent_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:spectrogram_op_test_cpu PASSED in 2.3s //tensorflow/core/kernels:spectrogram_test PASSED in 0.2s //tensorflow/core/kernels:split_op_test_cpu PASSED in 0.7s //tensorflow/core/kernels:split_v_op_test_cpu PASSED in 0.7s //tensorflow/core/kernels:strided_slice_op_test PASSED in 0.7s //tensorflow/core/kernels:string_format_op_test PASSED in 1.0s //tensorflow/core/kernels:string_ngrams_op_test PASSED in 0.7s //tensorflow/core/kernels:string_split_op_test PASSED in 0.5s //tensorflow/core/kernels:substr_op_test PASSED in 0.7s //tensorflow/core/kernels:summary_audio_op_test PASSED in 0.7s //tensorflow/core/kernels:summary_image_op_test PASSED in 0.9s //tensorflow/core/kernels:summary_op_test PASSED in 0.9s //tensorflow/core/kernels:summary_tensor_op_test PASSED in 0.6s 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//tensorflow/core/kernels/batching_util:input_split_metadata_test PASSED in 0.3s //tensorflow/core/kernels/batching_util:periodic_function_test PASSED in 2.2s //tensorflow/core/kernels/batching_util:serial_device_batch_scheduler_test PASSED in 2.7s //tensorflow/core/kernels/batching_util:shared_batch_scheduler_test PASSED in 3.7s //tensorflow/core/kernels/batching_util:threadsafe_status_test PASSED in 0.2s //tensorflow/core/kernels/data:batch_dataset_op_test PASSED in 1.2s //tensorflow/core/kernels/data:cache_dataset_ops_test PASSED in 0.9s //tensorflow/core/kernels/data:concatenate_dataset_op_test PASSED in 0.8s //tensorflow/core/kernels/data:filter_dataset_op_test PASSED in 1.6s //tensorflow/core/kernels/data:finalize_dataset_op_test PASSED in 0.9s //tensorflow/core/kernels/data:fixed_length_record_dataset_op_test PASSED in 2.1s //tensorflow/core/kernels/data:flat_map_dataset_op_test PASSED in 1.0s //tensorflow/core/kernels/data:get_options_op_test PASSED in 0.5s 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7.4s Stats over 2 runs: max = 7.4s, min = 6.8s, avg = 7.1s, dev = 0.3s //tensorflow/compiler/tests:complex_div_test_cpu_mlir_bridge_test PASSED in 7.6s Stats over 2 runs: max = 7.6s, min = 6.4s, avg = 7.0s, dev = 0.6s //tensorflow/compiler/xla/tests:conditional_test_cpu PASSED in 10.9s Stats over 2 runs: max = 10.9s, min = 10.3s, avg = 10.6s, dev = 0.3s //tensorflow/python:control_flow_ops_test_cpu PASSED in 26.7s Stats over 2 runs: max = 26.7s, min = 23.2s, avg = 25.0s, dev = 1.7s //tensorflow/python/data/experimental/kernel_tests/optimization:optimization_test PASSED in 24.6s Stats over 2 runs: max = 24.6s, min = 18.2s, avg = 21.4s, dev = 3.2s //tensorflow/python/data/experimental/kernel_tests/service:metadata_test PASSED in 18.9s Stats over 2 runs: max = 18.9s, min = 16.4s, avg = 17.7s, dev = 1.2s //tensorflow/python/data/kernel_tests:padded_batch_test PASSED in 21.6s Stats over 2 runs: max = 21.6s, min = 21.6s, avg = 21.6s, dev = 0.0s 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//tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu PASSED in 13.0s Stats over 2 runs: max = 13.0s, min = 12.9s, avg = 13.0s, dev = 0.1s //tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu PASSED in 9.5s Stats over 2 runs: max = 9.5s, min = 8.2s, avg = 8.9s, dev = 0.6s //tensorflow/python/kernel_tests/nn_ops:atrous_conv2d_test_cpu PASSED in 26.1s Stats over 2 runs: max = 26.1s, min = 19.5s, avg = 22.8s, dev = 3.3s //tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu PASSED in 137.2s Stats over 2 runs: max = 137.2s, min = 59.7s, avg = 98.4s, dev = 38.7s //tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 52.1s Stats over 2 runs: max = 52.1s, min = 7.1s, avg = 29.6s, dev = 22.5s //tensorflow/compiler/tests:spacetobatch_op_test_cpu PASSED in 9.7s Stats over 3 runs: max = 9.7s, min = 9.6s, avg = 9.6s, dev = 0.1s //tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test PASSED in 10.9s Stats over 3 runs: max = 10.9s, min = 10.2s, avg = 10.6s, dev = 0.3s //tensorflow/compiler/xla/tests:triangular_solve_test_cpu PASSED in 60.9s Stats over 3 runs: max = 60.9s, min = 57.9s, avg = 59.7s, dev = 1.3s //tensorflow/core/data/service:thread_safe_buffer_test PASSED in 0.2s Stats over 3 runs: max = 0.2s, min = 0.1s, avg = 0.2s, dev = 0.0s //tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test PASSED in 19.5s Stats over 3 runs: max = 19.5s, min = 15.1s, avg = 17.9s, dev = 2.0s //tensorflow/python/data/kernel_tests:unique_test PASSED in 23.0s Stats over 3 runs: max = 23.0s, min = 20.7s, avg = 21.6s, dev = 1.0s //tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu PASSED in 43.7s Stats over 3 runs: max = 43.7s, min = 25.7s, avg = 32.3s, dev = 8.1s //tensorflow/python/kernel_tests/array_ops:weights_broadcast_test PASSED in 9.0s Stats over 3 runs: max = 9.0s, min = 8.6s, avg = 8.8s, dev = 0.2s //tensorflow/python/kernel_tests/distributions:util_test_cpu PASSED in 12.5s Stats over 3 runs: max = 12.5s, min = 9.4s, avg = 11.4s, dev = 1.4s //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 73.5s Stats over 3 runs: max = 73.5s, min = 10.2s, avg = 31.4s, dev = 29.8s //tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu PASSED in 14.6s Stats over 3 runs: max = 14.6s, min = 11.6s, avg = 12.7s, dev = 1.3s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 23.4s Stats over 4 runs: max = 23.4s, min = 22.0s, avg = 22.8s, dev = 0.5s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 39.9s Stats over 4 runs: max = 39.9s, min = 34.8s, avg = 36.7s, dev = 2.0s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 36.0s Stats over 4 runs: max = 36.0s, min = 9.1s, avg = 24.7s, dev = 10.7s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 41.4s Stats over 4 runs: max = 41.4s, min = 8.4s, avg = 27.6s, dev = 14.0s //tensorflow/compiler/xla/tests:dynamic_ops_test_cpu PASSED in 10.7s Stats over 4 runs: max = 10.7s, min = 9.2s, avg = 9.9s, dev = 0.6s //tensorflow/core/kernels:example_parsing_ops_test PASSED in 0.6s Stats over 4 runs: max = 0.6s, min = 0.5s, avg = 0.5s, dev = 0.0s //tensorflow/python:nn_batchnorm_test_cpu PASSED in 20.0s Stats over 4 runs: max = 20.0s, min = 8.7s, avg = 15.5s, dev = 4.3s //tensorflow/python:nn_fused_batchnorm_d9m_test_cpu PASSED in 20.1s Stats over 4 runs: max = 20.1s, min = 16.7s, avg = 18.6s, dev = 1.2s //tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 30.3s Stats over 4 runs: max = 30.3s, min = 16.7s, avg = 23.5s, dev = 5.1s //tensorflow/python/data/experimental/kernel_tests:map_and_batch_test PASSED in 47.1s Stats over 4 runs: max = 47.1s, min = 27.1s, avg = 33.2s, dev = 8.1s //tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 22.6s Stats over 4 runs: max = 22.6s, min = 10.6s, avg = 16.7s, dev = 5.8s //tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test PASSED in 24.1s Stats over 4 runs: max = 24.1s, min = 13.9s, avg = 17.8s, dev = 4.0s //tensorflow/python/data/experimental/kernel_tests:sql_dataset_test PASSED in 53.2s Stats over 4 runs: max = 53.2s, min = 29.4s, avg = 43.1s, dev = 9.4s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 9.8s Stats over 4 runs: max = 9.8s, min = 8.3s, avg = 9.0s, dev = 0.7s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_test PASSED in 84.8s Stats over 4 runs: max = 84.8s, min = 43.6s, avg = 64.3s, dev = 19.3s //tensorflow/python/data/kernel_tests:batch_test PASSED in 30.4s Stats over 4 runs: max = 30.4s, min = 23.0s, avg = 26.9s, dev = 2.6s //tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test PASSED in 14.8s Stats over 4 runs: max = 14.8s, min = 8.6s, avg = 11.7s, dev = 2.7s //tensorflow/python/data/kernel_tests:from_generator_test PASSED in 19.1s Stats over 4 runs: max = 19.1s, min = 13.1s, avg = 15.8s, dev = 2.2s //tensorflow/python/data/kernel_tests:group_by_window_test PASSED in 19.7s Stats over 4 runs: max = 19.7s, min = 7.3s, avg = 12.5s, dev = 5.2s //tensorflow/python/data/kernel_tests:ragged_batch_test PASSED in 19.7s Stats over 4 runs: max = 19.7s, min = 16.2s, avg = 17.7s, dev = 1.3s //tensorflow/python/data/kernel_tests:skip_test PASSED in 24.6s Stats over 4 runs: max = 24.6s, min = 17.3s, avg = 20.9s, dev = 3.6s //tensorflow/python/data/kernel_tests:take_test PASSED in 23.0s Stats over 4 runs: max = 23.0s, min = 20.9s, avg = 21.9s, dev = 0.9s //tensorflow/python/data/kernel_tests:take_while_test PASSED in 26.5s Stats over 4 runs: max = 26.5s, min = 23.6s, avg = 25.1s, dev = 1.1s //tensorflow/python/data/kernel_tests:text_line_dataset_test PASSED in 17.3s Stats over 4 runs: max = 17.3s, min = 12.7s, avg = 15.2s, dev = 1.9s //tensorflow/python/data/kernel_tests:zip_test PASSED in 20.0s Stats over 4 runs: max = 20.0s, min = 17.6s, avg = 18.7s, dev = 0.9s //tensorflow/python/debug/lib:dumping_callback_test_cpu PASSED in 14.5s Stats over 4 runs: max = 14.5s, min = 11.7s, avg = 12.7s, dev = 1.1s //tensorflow/python/distribute:cross_device_ops_test_2gpu PASSED in 28.5s Stats over 4 runs: max = 28.5s, min = 21.7s, avg = 24.9s, dev = 2.6s //tensorflow/python/distribute:cross_device_ops_test_cpu PASSED in 31.1s Stats over 4 runs: max = 31.1s, min = 22.5s, avg = 26.3s, dev = 3.3s //tensorflow/python/distribute:strategy_gather_test_2gpu PASSED in 24.1s Stats over 4 runs: max = 24.1s, min = 14.2s, avg = 19.6s, dev = 4.5s //tensorflow/python/distribute:strategy_gather_test_cpu PASSED in 31.1s Stats over 4 runs: max = 31.1s, min = 23.2s, avg = 27.2s, dev = 3.5s //tensorflow/python/distribute:strategy_gather_test_xla_2gpu PASSED in 20.4s Stats over 4 runs: max = 20.4s, min = 9.7s, avg = 15.0s, dev = 5.1s //tensorflow/python/framework:convert_to_constants_test PASSED in 28.3s Stats over 4 runs: max = 28.3s, min = 17.1s, avg = 21.2s, dev = 4.3s //tensorflow/python/kernel_tests:collective_ops_test_2gpu PASSED in 34.8s Stats over 4 runs: max = 34.8s, min = 32.4s, avg = 33.8s, dev = 1.0s //tensorflow/python/kernel_tests:collective_ops_test_cpu PASSED in 35.6s Stats over 4 runs: max = 35.6s, min = 32.9s, avg = 34.0s, dev = 1.0s //tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 15.2s Stats over 4 runs: max = 15.2s, min = 13.3s, avg = 14.3s, dev = 0.7s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 61.9s Stats over 4 runs: max = 61.9s, min = 19.8s, avg = 39.6s, dev = 17.4s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 26.1s Stats over 4 runs: max = 26.1s, min = 7.4s, avg = 14.3s, dev = 7.6s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 88.6s Stats over 4 runs: max = 88.6s, min = 14.0s, avg = 43.9s, dev = 30.2s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 25.7s Stats over 4 runs: max = 25.7s, min = 23.9s, avg = 24.6s, dev = 0.7s //tensorflow/python/kernel_tests/nn_ops:conv_ops_test_cpu PASSED in 43.7s Stats over 4 runs: max = 43.7s, min = 32.1s, avg = 37.2s, dev = 4.9s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 81.8s Stats over 4 runs: max = 81.8s, min = 8.1s, avg = 39.7s, dev = 32.4s //tensorflow/python/kernel_tests/signal:window_ops_test_cpu PASSED in 17.0s Stats over 4 runs: max = 17.0s, min = 15.9s, avg = 16.5s, dev = 0.4s //tensorflow/python/ops/ragged:ragged_gather_op_test PASSED in 64.1s Stats over 4 runs: max = 64.1s, min = 15.6s, avg = 36.8s, dev = 17.5s //tensorflow/python/ops/ragged:ragged_getitem_test PASSED in 44.6s Stats over 4 runs: max = 44.6s, min = 39.0s, avg = 42.6s, dev = 2.2s //tensorflow/compiler/tests:async_comp_test_cpu PASSED in 7.4s Stats over 5 runs: max = 7.4s, min = 6.8s, avg = 7.1s, dev = 0.2s //tensorflow/compiler/tests:conv3d_test_cpu PASSED in 14.9s Stats over 5 runs: max = 14.9s, min = 7.9s, avg = 11.1s, dev = 3.0s //tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test PASSED in 14.5s Stats over 5 runs: max = 14.5s, min = 6.3s, avg = 9.9s, dev = 3.6s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu PASSED in 12.1s Stats over 5 runs: max = 12.1s, min = 8.1s, avg = 9.9s, dev = 1.7s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test PASSED in 17.6s Stats over 5 runs: max = 17.6s, min = 12.0s, avg = 14.6s, dev = 2.1s //tensorflow/compiler/tests:fused_batchnorm_test_cpu PASSED in 33.1s Stats over 5 runs: max = 33.1s, min = 32.7s, avg = 32.9s, dev = 0.2s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 26.8s Stats over 5 runs: max = 26.8s, min = 25.2s, avg = 26.0s, dev = 0.6s //tensorflow/compiler/tests:image_ops_jit_compile_test_cpu PASSED in 7.7s Stats over 5 runs: max = 7.7s, min = 6.5s, avg = 7.0s, dev = 0.5s //tensorflow/compiler/tests:reduce_ops_test_cpu PASSED in 11.2s Stats over 5 runs: max = 11.2s, min = 10.0s, avg = 10.4s, dev = 0.5s //tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test PASSED in 13.4s Stats over 5 runs: max = 13.4s, min = 11.7s, avg = 12.6s, dev = 0.6s //tensorflow/compiler/tests:repeat_op_test_cpu PASSED in 8.2s Stats over 5 runs: max = 8.2s, min = 6.7s, avg = 7.4s, dev = 0.5s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 8.0s Stats over 5 runs: max = 8.0s, min = 7.3s, avg = 7.5s, dev = 0.3s //tensorflow/compiler/tests:special_math_test_cpu PASSED in 101.4s Stats over 5 runs: max = 101.4s, min = 12.7s, avg = 46.5s, dev = 30.3s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 107.6s Stats over 5 runs: max = 107.6s, min = 14.1s, avg = 50.6s, dev = 31.8s //tensorflow/compiler/xla/client/lib:self_adjoint_eig_test_cpu PASSED in 29.8s Stats over 5 runs: max = 29.8s, min = 13.0s, avg = 22.6s, dev = 7.2s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 5.1s Stats over 5 runs: max = 5.1s, min = 1.5s, avg = 2.5s, dev = 1.4s //tensorflow/dtensor/python/tests:layout_propagation_test_cpu PASSED in 10.4s Stats over 5 runs: max = 10.4s, min = 9.2s, avg = 9.5s, dev = 0.4s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 11.5s Stats over 5 runs: max = 11.5s, min = 10.4s, avg = 10.9s, dev = 0.4s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 14.1s Stats over 5 runs: max = 14.1s, min = 12.3s, avg = 13.1s, dev = 0.6s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 18.9s Stats over 5 runs: max = 18.9s, min = 16.6s, avg = 18.0s, dev = 1.0s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 18.9s Stats over 5 runs: max = 18.9s, min = 14.7s, avg = 17.4s, dev = 1.5s //tensorflow/python/distribute:vars_test_2gpu PASSED in 20.5s Stats over 5 runs: max = 20.5s, min = 16.3s, avg = 17.7s, dev = 1.5s //tensorflow/python/distribute:vars_test_cpu PASSED in 23.0s Stats over 5 runs: max = 23.0s, min = 19.2s, avg = 20.9s, dev = 1.3s //tensorflow/python/eager:device_placement_test_cpu PASSED in 10.3s Stats over 5 runs: max = 10.3s, min = 9.7s, avg = 10.1s, dev = 0.2s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 94.0s Stats over 5 runs: max = 94.0s, min = 15.0s, avg = 45.5s, dev = 26.7s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 14.0s Stats over 5 runs: max = 14.0s, min = 10.3s, avg = 11.9s, dev = 1.5s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 54.0s Stats over 5 runs: max = 54.0s, min = 34.0s, avg = 44.0s, dev = 6.8s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 39.0s Stats over 5 runs: max = 39.0s, min = 31.1s, avg = 34.6s, dev = 3.1s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 38.5s Stats over 5 runs: max = 38.5s, min = 35.7s, avg = 36.6s, dev = 1.1s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 37.1s Stats over 5 runs: max = 37.1s, min = 31.4s, avg = 34.0s, dev = 2.1s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 20.9s Stats over 5 runs: max = 20.9s, min = 19.9s, avg = 20.4s, dev = 0.4s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 24.2s Stats over 5 runs: max = 24.2s, min = 23.2s, avg = 23.7s, dev = 0.3s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 31.4s Stats over 5 runs: max = 31.4s, min = 29.9s, avg = 30.8s, dev = 0.5s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 22.5s Stats over 5 runs: max = 22.5s, min = 21.0s, avg = 21.5s, dev = 0.5s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 17.4s Stats over 5 runs: max = 17.4s, min = 16.8s, avg = 17.0s, dev = 0.3s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 15.0s Stats over 5 runs: max = 15.0s, min = 12.6s, avg = 13.2s, dev = 0.9s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 97.4s Stats over 5 runs: max = 97.4s, min = 94.5s, avg = 96.0s, dev = 1.2s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 8.6s Stats over 5 runs: max = 8.6s, min = 7.7s, avg = 8.1s, dev = 0.3s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 13.1s Stats over 5 runs: max = 13.1s, min = 11.8s, avg = 12.5s, dev = 0.5s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 17.8s Stats over 5 runs: max = 17.8s, min = 6.6s, avg = 9.6s, dev = 4.3s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 16.5s Stats over 5 runs: max = 16.5s, min = 7.9s, avg = 10.1s, dev = 3.2s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 38.4s Stats over 5 runs: max = 38.4s, min = 8.1s, avg = 14.8s, dev = 11.8s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 84.2s Stats over 5 runs: max = 84.2s, min = 22.9s, avg = 44.7s, dev = 21.6s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 14.2s Stats over 6 runs: max = 14.2s, min = 9.7s, avg = 12.1s, dev = 1.4s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 19.3s Stats over 6 runs: max = 19.3s, min = 13.0s, avg = 16.2s, dev = 2.0s //tensorflow/python:accumulate_n_benchmark_cpu PASSED in 8.3s Stats over 6 runs: max = 8.3s, min = 7.8s, avg = 8.1s, dev = 0.2s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 21.7s Stats over 6 runs: max = 21.7s, min = 7.5s, avg = 13.8s, dev = 6.1s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 107.4s Stats over 6 runs: max = 107.4s, min = 10.4s, avg = 30.6s, dev = 34.5s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 66.8s Stats over 6 runs: max = 66.8s, min = 29.1s, avg = 51.7s, dev = 14.5s //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 13.9s Stats over 7 runs: max = 13.9s, min = 9.7s, avg = 11.0s, dev = 1.6s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 55.5s Stats over 8 runs: max = 55.5s, min = 4.7s, avg = 21.6s, dev = 17.2s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 85.2s Stats over 8 runs: max = 85.2s, min = 7.2s, avg = 32.7s, dev = 26.9s //tensorflow/dtensor/python/tests:input_util_test PASSED in 14.7s Stats over 8 runs: max = 14.7s, min = 9.9s, avg = 12.4s, dev = 1.7s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 29.3s Stats over 8 runs: max = 29.3s, min = 8.4s, avg = 16.0s, dev = 8.0s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 34.2s Stats over 8 runs: max = 34.2s, min = 15.2s, avg = 25.4s, dev = 6.2s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 44.8s Stats over 8 runs: max = 44.8s, min = 13.9s, avg = 28.4s, dev = 13.1s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 46.7s Stats over 8 runs: max = 46.7s, min = 16.4s, avg = 26.7s, dev = 12.7s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 25.5s Stats over 8 runs: max = 25.5s, min = 9.5s, avg = 15.6s, dev = 5.8s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 22.8s Stats over 8 runs: max = 22.8s, min = 15.6s, avg = 17.6s, dev = 2.3s //tensorflow/python/data/kernel_tests:filter_test PASSED in 17.7s Stats over 8 runs: max = 17.7s, min = 14.1s, avg = 16.0s, dev = 1.2s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 19.5s Stats over 8 runs: max = 19.5s, min = 11.4s, avg = 14.8s, dev = 2.6s //tensorflow/python/data/kernel_tests:shard_test PASSED in 19.4s Stats over 8 runs: max = 19.4s, min = 15.1s, avg = 17.4s, dev = 1.5s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 76.3s Stats over 8 runs: max = 76.3s, min = 25.9s, avg = 37.0s, dev = 15.2s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 21.8s Stats over 8 runs: max = 21.8s, min = 13.1s, avg = 17.1s, dev = 2.5s //tensorflow/python/distribute/failure_handling:failure_handler_test PASSED in 80.2s Stats over 8 runs: max = 80.2s, min = 43.4s, avg = 62.0s, dev = 11.5s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 60.8s Stats over 8 runs: max = 60.8s, min = 29.0s, avg = 50.5s, dev = 10.0s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 53.8s Stats over 8 runs: max = 53.8s, min = 39.3s, avg = 47.1s, dev = 5.5s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 45.1s Stats over 8 runs: max = 45.1s, min = 30.0s, avg = 36.2s, dev = 5.5s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 69.8s Stats over 8 runs: max = 69.8s, min = 7.6s, avg = 17.9s, dev = 20.2s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 20.9s Stats over 8 runs: max = 20.9s, min = 18.8s, avg = 20.1s, dev = 0.8s //tensorflow/python/kernel_tests/signal:fft_ops_test_cpu PASSED in 21.6s Stats over 8 runs: max = 21.6s, min = 8.4s, avg = 13.3s, dev = 5.0s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 41.3s Stats over 8 runs: max = 41.3s, min = 25.3s, avg = 31.4s, dev = 5.4s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 38.6s Stats over 8 runs: max = 38.6s, min = 25.2s, avg = 30.1s, dev = 3.8s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test FLAKY, failed in 1 out of 9 in 341.0s Stats over 9 runs: max = 341.0s, min = 12.0s, avg = 62.9s, dev = 100.2s /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_7_of_8/test_attempts/attempt_1.log //tensorflow/compiler/tests:bincount_op_test_cpu PASSED in 7.6s Stats over 10 runs: max = 7.6s, min = 5.4s, avg = 6.4s, dev = 0.7s //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 8.4s Stats over 10 runs: max = 8.4s, min = 5.6s, avg = 6.9s, dev = 0.8s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 8.7s Stats over 10 runs: max = 8.7s, min = 7.0s, avg = 8.0s, dev = 0.5s //tensorflow/compiler/tests:image_ops_test_cpu PASSED in 20.3s Stats over 10 runs: max = 20.3s, min = 12.5s, avg = 15.7s, dev = 2.4s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 21.4s Stats over 10 runs: max = 21.4s, min = 15.1s, avg = 18.3s, dev = 2.1s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 21.0s Stats over 10 runs: max = 21.0s, min = 14.6s, avg = 18.2s, dev = 2.2s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 67.9s Stats over 10 runs: max = 67.9s, min = 42.4s, avg = 54.8s, dev = 9.3s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 64.4s Stats over 10 runs: max = 64.4s, min = 35.7s, avg = 50.6s, dev = 9.8s //tensorflow/compiler/xla/client/lib:svd_test_cpu PASSED in 83.2s Stats over 10 runs: max = 83.2s, min = 7.5s, avg = 28.3s, dev = 27.2s //tensorflow/compiler/xla/client/lib:tridiagonal_test_cpu PASSED in 8.1s Stats over 10 runs: max = 8.1s, min = 7.3s, avg = 7.8s, dev = 0.2s //tensorflow/compiler/xla/service/cpu:cpu_runtime_test PASSED in 12.1s Stats over 10 runs: max = 12.1s, min = 0.9s, avg = 8.6s, dev = 3.9s //tensorflow/python:special_math_ops_test_cpu PASSED in 48.8s Stats over 10 runs: max = 48.8s, min = 9.0s, avg = 15.1s, dev = 11.6s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 18.2s Stats over 10 runs: max = 18.2s, min = 7.1s, avg = 11.6s, dev = 3.2s //tensorflow/python/distribute:input_lib_test_2gpu PASSED in 32.1s Stats over 10 runs: max = 32.1s, min = 22.9s, avg = 26.0s, dev = 2.5s //tensorflow/python/distribute:input_lib_test_cpu PASSED in 29.6s Stats over 10 runs: max = 29.6s, min = 22.9s, avg = 25.9s, dev = 2.2s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 23.8s Stats over 10 runs: max = 23.8s, min = 8.3s, avg = 16.6s, dev = 5.5s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 25.0s Stats over 10 runs: max = 25.0s, min = 7.7s, avg = 16.8s, dev = 5.6s //tensorflow/python/framework:config_vgpu_test_2gpu PASSED in 12.8s Stats over 10 runs: max = 12.8s, min = 4.5s, avg = 7.8s, dev = 2.4s //tensorflow/python/framework:config_vgpu_test_cpu PASSED in 6.6s Stats over 10 runs: max = 6.6s, min = 2.8s, avg = 3.8s, dev = 1.4s //tensorflow/python/framework:function_test_cpu PASSED in 55.7s Stats over 10 runs: max = 55.7s, min = 9.2s, avg = 15.5s, dev = 13.6s //tensorflow/python/grappler:cluster_test_cpu PASSED in 7.8s Stats over 10 runs: max = 7.8s, min = 6.4s, avg = 7.1s, dev = 0.4s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 12.8s Stats over 10 runs: max = 12.8s, min = 8.6s, avg = 10.2s, dev = 1.2s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 8.2s Stats over 10 runs: max = 8.2s, min = 7.3s, avg = 7.6s, dev = 0.3s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 9.7s Stats over 10 runs: max = 9.7s, min = 6.7s, avg = 7.7s, dev = 0.9s //tensorflow/python/kernel_tests/linalg:linear_operator_kronecker_test_cpu PASSED in 28.2s Stats over 10 runs: max = 28.2s, min = 25.1s, avg = 26.8s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 62.7s Stats over 10 runs: max = 62.7s, min = 58.8s, avg = 60.9s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 124.2s Stats over 10 runs: max = 124.2s, min = 5.5s, avg = 18.6s, dev = 35.2s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 74.4s Stats over 10 runs: max = 74.4s, min = 13.4s, avg = 37.9s, dev = 17.4s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 24.3s Stats over 10 runs: max = 24.3s, min = 5.2s, avg = 14.2s, dev = 7.7s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu PASSED in 23.0s Stats over 10 runs: max = 23.0s, min = 7.1s, avg = 10.9s, dev = 5.8s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 11.7s Stats over 10 runs: max = 11.7s, min = 10.0s, avg = 10.8s, dev = 0.6s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 8.9s Stats over 10 runs: max = 8.9s, min = 7.9s, avg = 8.4s, dev = 0.3s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 98.4s Stats over 10 runs: max = 98.4s, min = 19.1s, avg = 58.0s, dev = 38.2s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 15.9s Stats over 10 runs: max = 15.9s, min = 14.2s, avg = 15.0s, dev = 0.5s //tensorflow/python/saved_model:load_test_cpu PASSED in 43.8s Stats over 10 runs: max = 43.8s, min = 23.4s, avg = 28.0s, dev = 5.6s //tensorflow/compiler/tests:fft_test_cpu PASSED in 22.9s Stats over 12 runs: max = 22.9s, min = 9.0s, avg = 15.4s, dev = 5.5s //tensorflow/compiler/xla/service:triangular_solve_expander_test PASSED in 4.5s Stats over 12 runs: max = 4.5s, min = 1.9s, avg = 3.3s, dev = 0.8s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 17.1s Stats over 12 runs: max = 17.1s, min = 6.0s, avg = 10.5s, dev = 3.6s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 12.5s Stats over 12 runs: max = 12.5s, min = 3.8s, avg = 7.4s, dev = 2.8s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 9.6s Stats over 12 runs: max = 9.6s, min = 4.9s, avg = 7.7s, dev = 1.3s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 225.2s Stats over 12 runs: max = 225.2s, min = 14.1s, avg = 51.4s, dev = 58.3s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 229.5s Stats over 12 runs: max = 229.5s, min = 14.2s, avg = 53.3s, dev = 58.7s //tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 76.8s Stats over 15 runs: max = 76.8s, min = 13.7s, avg = 23.1s, dev = 21.0s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 58.9s Stats over 15 runs: max = 58.9s, min = 49.9s, avg = 54.4s, dev = 2.3s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 47.7s Stats over 15 runs: max = 47.7s, min = 9.6s, avg = 14.6s, dev = 9.5s //tensorflow/python:image_ops_test_cpu PASSED in 14.2s Stats over 16 runs: max = 14.2s, min = 6.0s, avg = 10.1s, dev = 2.5s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 71.7s Stats over 16 runs: max = 71.7s, min = 63.3s, avg = 67.3s, dev = 2.6s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 17.5s Stats over 16 runs: max = 17.5s, min = 5.3s, avg = 12.4s, dev = 4.2s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 32.8s Stats over 16 runs: max = 32.8s, min = 15.4s, avg = 22.7s, dev = 4.5s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 26.9s Stats over 16 runs: max = 26.9s, min = 5.5s, avg = 9.1s, dev = 4.9s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 11.0s Stats over 16 runs: max = 11.0s, min = 6.7s, avg = 7.8s, dev = 1.0s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 10.4s Stats over 16 runs: max = 10.4s, min = 8.5s, avg = 9.4s, dev = 0.6s //tensorflow/python/ops/parallel_for:control_flow_ops_test_cpu PASSED in 61.2s Stats over 16 runs: max = 61.2s, min = 9.7s, avg = 19.6s, dev = 11.5s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 13.8s Stats over 17 runs: max = 13.8s, min = 3.5s, avg = 5.8s, dev = 2.5s //tensorflow/python/data/kernel_tests:map_test PASSED in 38.6s Stats over 19 runs: max = 38.6s, min = 10.7s, avg = 17.1s, dev = 6.1s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 8.1s Stats over 20 runs: max = 8.1s, min = 5.3s, avg = 6.9s, dev = 0.9s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 7.2s Stats over 20 runs: max = 7.2s, min = 3.1s, avg = 4.8s, dev = 1.2s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 11.2s Stats over 20 runs: max = 11.2s, min = 4.3s, avg = 6.6s, dev = 1.8s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 12.8s Stats over 20 runs: max = 12.8s, min = 2.8s, avg = 5.2s, dev = 2.3s //tensorflow/compiler/xla/tests:convolution_dimension_numbers_test_cpu PASSED in 8.4s Stats over 20 runs: max = 8.4s, min = 6.5s, avg = 7.3s, dev = 0.6s //tensorflow/compiler/xla/tests:dot_operation_single_threaded_runtime_test_cpu PASSED in 13.9s Stats over 20 runs: max = 13.9s, min = 10.8s, avg = 11.8s, dev = 0.8s //tensorflow/compiler/xla/tests:dot_operation_test_cpu PASSED in 13.0s Stats over 20 runs: max = 13.0s, min = 9.7s, avg = 11.2s, dev = 1.0s //tensorflow/compiler/xla/tests:prng_test_cpu PASSED in 10.1s Stats over 20 runs: max = 10.1s, min = 7.6s, avg = 8.4s, dev = 0.7s //tensorflow/compiler/xla/tests:reduce_window_test_cpu PASSED in 41.9s Stats over 20 runs: max = 41.9s, min = 7.3s, avg = 16.4s, dev = 10.7s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 20.6s Stats over 20 runs: max = 20.6s, min = 16.6s, avg = 18.9s, dev = 1.1s //tensorflow/python/kernel_tests:metrics_test PASSED in 60.7s Stats over 20 runs: max = 60.7s, min = 9.5s, avg = 26.8s, dev = 14.0s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 7.3s Stats over 20 runs: max = 7.3s, min = 2.6s, avg = 4.5s, dev = 1.4s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 10.4s Stats over 20 runs: max = 10.4s, min = 3.4s, avg = 7.3s, dev = 1.8s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 52.5s Stats over 20 runs: max = 52.5s, min = 4.0s, avg = 15.2s, dev = 15.1s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 131.9s Stats over 20 runs: max = 131.9s, min = 52.7s, avg = 78.7s, dev = 20.9s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 8.0s Stats over 20 runs: max = 8.0s, min = 4.7s, avg = 6.4s, dev = 0.9s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 11.6s Stats over 20 runs: max = 11.6s, min = 4.7s, avg = 8.6s, dev = 2.1s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 147.5s Stats over 20 runs: max = 147.5s, min = 28.8s, avg = 90.9s, dev = 41.3s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 23.1s Stats over 20 runs: max = 23.1s, min = 4.3s, avg = 11.6s, dev = 5.8s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 29.8s Stats over 20 runs: max = 29.8s, min = 5.5s, avg = 16.2s, dev = 8.4s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 17.9s Stats over 20 runs: max = 17.9s, min = 12.4s, avg = 15.1s, dev = 1.6s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 57.2s Stats over 20 runs: max = 57.2s, min = 7.4s, avg = 25.5s, dev = 17.7s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 27.0s Stats over 20 runs: max = 27.0s, min = 10.0s, avg = 16.8s, dev = 4.2s //tensorflow/python/data/experimental/kernel_tests/service:local_workers_test PASSED in 21.7s Stats over 24 runs: max = 21.7s, min = 6.3s, avg = 13.0s, dev = 3.8s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 19.3s Stats over 24 runs: max = 19.3s, min = 7.6s, avg = 12.7s, dev = 3.4s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 17.2s Stats over 24 runs: max = 17.2s, min = 3.4s, avg = 8.7s, dev = 4.1s //tensorflow/compiler/xla/tests:array_elementwise_ops_test_cpu PASSED in 10.4s Stats over 25 runs: max = 10.4s, min = 7.0s, avg = 8.2s, dev = 1.0s //tensorflow/compiler/xla/tests:select_and_scatter_test_cpu PASSED in 36.2s Stats over 25 runs: max = 36.2s, min = 7.3s, avg = 11.9s, dev = 7.2s //tensorflow/compiler/xla/tests:convolution_variants_test_cpu PASSED in 7.1s Stats over 30 runs: max = 7.1s, min = 6.0s, avg = 6.5s, dev = 0.3s //tensorflow/compiler/xla/tests:iota_test_cpu PASSED in 14.6s Stats over 30 runs: max = 14.6s, min = 11.6s, avg = 13.3s, dev = 0.9s //tensorflow/compiler/xla/tests:params_test_cpu PASSED in 9.4s Stats over 30 runs: max = 9.4s, min = 7.6s, avg = 8.4s, dev = 0.5s //tensorflow/compiler/xla/tests:reshape_test_cpu PASSED in 8.8s Stats over 30 runs: max = 8.8s, min = 7.1s, avg = 7.9s, dev = 0.4s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 14.5s Stats over 30 runs: max = 14.5s, min = 2.8s, avg = 6.8s, dev = 3.0s //tensorflow/compiler/xla/tests:reduce_test_cpu PASSED in 10.5s Stats over 31 runs: max = 10.5s, min = 7.5s, avg = 8.7s, dev = 0.7s //tensorflow/compiler/xla/tests:scalar_computations_test_cpu PASSED in 9.6s Stats over 32 runs: max = 9.6s, min = 6.8s, avg = 7.9s, dev = 0.8s //tensorflow/python/data/experimental/kernel_tests/service:auto_shard_test PASSED in 17.8s Stats over 32 runs: max = 17.8s, min = 3.8s, avg = 11.3s, dev = 3.4s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 32.7s Stats over 32 runs: max = 32.7s, min = 6.9s, avg = 17.4s, dev = 6.6s //tensorflow/compiler/xla/tests:batch_normalization_test_cpu PASSED in 10.1s Stats over 40 runs: max = 10.1s, min = 7.7s, avg = 8.8s, dev = 0.5s //tensorflow/compiler/xla/tests:bfloat16_test_cpu PASSED in 9.3s Stats over 40 runs: max = 9.3s, min = 6.4s, avg = 8.3s, dev = 0.8s //tensorflow/compiler/xla/tests:conv_depthwise_backprop_filter_test_cpu PASSED in 14.7s Stats over 40 runs: max = 14.7s, min = 9.9s, avg = 12.3s, dev = 1.2s //tensorflow/compiler/xla/tests:slice_test_cpu PASSED in 15.7s Stats over 40 runs: max = 15.7s, min = 8.8s, avg = 11.6s, dev = 1.7s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 36.1s Stats over 50 runs: max = 36.1s, min = 17.5s, avg = 26.0s, dev = 5.0s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 36.8s Stats over 50 runs: max = 36.8s, min = 2.9s, avg = 10.8s, dev = 7.2s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 42.0s Stats over 50 runs: max = 42.0s, min = 2.8s, avg = 11.3s, dev = 8.6s //tensorflow/compiler/xla/tests:conv_depthwise_test_cpu PASSED in 11.9s Stats over 50 runs: max = 11.9s, min = 8.7s, avg = 10.1s, dev = 0.7s //tensorflow/compiler/xla/tests:convolution_test_1d_no_vmodule_cpu PASSED in 15.4s Stats over 50 runs: max = 15.4s, min = 9.5s, avg = 13.1s, dev = 1.4s //tensorflow/compiler/xla/tests:convolution_test_cpu PASSED in 14.3s Stats over 50 runs: max = 14.3s, min = 8.9s, avg = 11.6s, dev = 1.4s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 13.7s Stats over 50 runs: max = 13.7s, min = 4.0s, avg = 7.9s, dev = 2.5s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 8.0s Stats over 50 runs: max = 8.0s, min = 2.8s, avg = 4.1s, dev = 1.2s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 7.2s Stats over 50 runs: max = 7.2s, min = 2.6s, avg = 3.8s, dev = 1.2s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 30.0s Stats over 50 runs: max = 30.0s, min = 6.7s, avg = 14.9s, dev = 5.9s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 10.8s Stats over 50 runs: max = 10.8s, min = 2.6s, avg = 3.7s, dev = 1.3s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 12.0s Stats over 50 runs: max = 12.0s, min = 2.8s, avg = 4.4s, dev = 1.9s Executed 3763 out of 3763 tests: 3763 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.