==================== Test output for //tensorflow/compiler/mlir/quantization/tensorflow/debugging:mlir_dump_test: [==========] Running 2 tests from 1 test suite. [----------] Global test environment set-up. [----------] 2 tests from EnableIrPrintingTest [ RUN ] EnableIrPrintingTest.PassSuccessfullyRuns 2024-02-11 22:57:43.393886: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::{anonymous}::NoOpPass_before.mlir 2024-02-11 22:57:43.394658: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0002_Canonicalizer_func1_before.mlir 2024-02-11 22:57:43.395331: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0003_Canonicalizer_func1_after.mlir 2024-02-11 22:57:43.395624: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0004_Canonicalizer_main_before.mlir tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test.cc:147: Failure Expected equality of these values: ::tsl::OkStatus() Which is: OK (tsl::Env::Default()->FileExists( tsl::io::JoinPath(test_dir_, "dump_0001_tensorflow::quantization::(anonymous " "namespace)::NoOpPass_before.mlir"))) Which is: NOT_FOUND: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::(anonymous namespace)::NoOpPass_before.mlir not found [ FAILED ] EnableIrPrintingTest.PassSuccessfullyRuns (5 ms) [ RUN ] EnableIrPrintingTest.NestedPassSuccessfullyRuns 2024-02-11 22:57:43.398482: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::{anonymous}::ParentPass_before.mlir 2024-02-11 22:57:43.398743: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump2_0001_tensorflow::quantization::{anonymous}::NoOpPass_before.mlir tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test.cc:176: Failure Expected equality of these values: ::tsl::OkStatus() Which is: OK (tsl::Env::Default()->FileExists( tsl::io::JoinPath(test_dir_, "dump_0001_tensorflow::quantization::(anonymous " "namespace)::ParentPass_before.mlir"))) Which is: NOT_FOUND: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::(anonymous namespace)::ParentPass_before.mlir not found tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test.cc:180: Failure Expected equality of these values: ::tsl::OkStatus() Which is: OK (tsl::Env::Default()->FileExists( tsl::io::JoinPath(test_dir_, "dump2_0001_tensorflow::quantization::(anonymous " "namespace)::NoOpPass_before.mlir"))) Which is: NOT_FOUND: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump2_0001_tensorflow::quantization::(anonymous namespace)::NoOpPass_before.mlir not found [ FAILED ] EnableIrPrintingTest.NestedPassSuccessfullyRuns (2 ms) [----------] 2 tests from EnableIrPrintingTest (8 ms total) [----------] Global test environment tear-down [==========] 2 tests from 1 test suite ran. (8 ms total) [ PASSED ] 0 tests. [ FAILED ] 2 tests, listed below: [ FAILED ] EnableIrPrintingTest.PassSuccessfullyRuns [ FAILED ] EnableIrPrintingTest.NestedPassSuccessfullyRuns 2 FAILED TESTS ================================================================================ ==================== Test output for //tensorflow/compiler/mlir/quantization/tensorflow/debugging:mlir_dump_test: [==========] Running 2 tests from 1 test suite. [----------] Global test environment set-up. [----------] 2 tests from EnableIrPrintingTest [ RUN ] EnableIrPrintingTest.PassSuccessfullyRuns 2024-02-11 22:57:43.926037: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::{anonymous}::NoOpPass_before.mlir 2024-02-11 22:57:43.926696: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0002_Canonicalizer_func1_before.mlir 2024-02-11 22:57:43.927119: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0003_Canonicalizer_func1_after.mlir 2024-02-11 22:57:43.927396: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0004_Canonicalizer_main_before.mlir tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test.cc:147: Failure Expected equality of these values: ::tsl::OkStatus() Which is: OK (tsl::Env::Default()->FileExists( tsl::io::JoinPath(test_dir_, "dump_0001_tensorflow::quantization::(anonymous " "namespace)::NoOpPass_before.mlir"))) Which is: NOT_FOUND: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::(anonymous namespace)::NoOpPass_before.mlir not found [ FAILED ] EnableIrPrintingTest.PassSuccessfullyRuns (5 ms) [ RUN ] EnableIrPrintingTest.NestedPassSuccessfullyRuns 2024-02-11 22:57:43.930196: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::{anonymous}::ParentPass_before.mlir 2024-02-11 22:57:43.930433: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump2_0001_tensorflow::quantization::{anonymous}::NoOpPass_before.mlir tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test.cc:176: Failure Expected equality of these values: ::tsl::OkStatus() Which is: OK (tsl::Env::Default()->FileExists( tsl::io::JoinPath(test_dir_, "dump_0001_tensorflow::quantization::(anonymous " "namespace)::ParentPass_before.mlir"))) Which is: NOT_FOUND: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::(anonymous namespace)::ParentPass_before.mlir not found tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test.cc:180: Failure Expected equality of these values: ::tsl::OkStatus() Which is: OK (tsl::Env::Default()->FileExists( tsl::io::JoinPath(test_dir_, "dump2_0001_tensorflow::quantization::(anonymous " "namespace)::NoOpPass_before.mlir"))) Which is: NOT_FOUND: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump2_0001_tensorflow::quantization::(anonymous namespace)::NoOpPass_before.mlir not found [ FAILED ] EnableIrPrintingTest.NestedPassSuccessfullyRuns (2 ms) [----------] 2 tests from EnableIrPrintingTest (7 ms total) [----------] Global test environment tear-down [==========] 2 tests from 1 test suite ran. (7 ms total) [ PASSED ] 0 tests. [ FAILED ] 2 tests, listed below: [ FAILED ] EnableIrPrintingTest.PassSuccessfullyRuns [ FAILED ] EnableIrPrintingTest.NestedPassSuccessfullyRuns 2 FAILED TESTS ================================================================================ ==================== Test output for //tensorflow/compiler/mlir/quantization/tensorflow/debugging:mlir_dump_test: [==========] Running 2 tests from 1 test suite. [----------] Global test environment set-up. [----------] 2 tests from EnableIrPrintingTest [ RUN ] EnableIrPrintingTest.PassSuccessfullyRuns 2024-02-11 22:57:44.183638: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::{anonymous}::NoOpPass_before.mlir 2024-02-11 22:57:44.184225: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0002_Canonicalizer_func1_before.mlir 2024-02-11 22:57:44.184627: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0003_Canonicalizer_func1_after.mlir 2024-02-11 22:57:44.184898: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0004_Canonicalizer_main_before.mlir tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test.cc:147: Failure Expected equality of these values: ::tsl::OkStatus() Which is: OK (tsl::Env::Default()->FileExists( tsl::io::JoinPath(test_dir_, "dump_0001_tensorflow::quantization::(anonymous " "namespace)::NoOpPass_before.mlir"))) Which is: NOT_FOUND: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::(anonymous namespace)::NoOpPass_before.mlir not found [ FAILED ] EnableIrPrintingTest.PassSuccessfullyRuns (4 ms) [ RUN ] EnableIrPrintingTest.NestedPassSuccessfullyRuns 2024-02-11 22:57:44.187501: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::{anonymous}::ParentPass_before.mlir 2024-02-11 22:57:44.187729: I tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump.cc:131] IR dump file created: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump2_0001_tensorflow::quantization::{anonymous}::NoOpPass_before.mlir tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test.cc:176: Failure Expected equality of these values: ::tsl::OkStatus() Which is: OK (tsl::Env::Default()->FileExists( tsl::io::JoinPath(test_dir_, "dump_0001_tensorflow::quantization::(anonymous " "namespace)::ParentPass_before.mlir"))) Which is: NOT_FOUND: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump_0001_tensorflow::quantization::(anonymous namespace)::ParentPass_before.mlir not found tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test.cc:180: Failure Expected equality of these values: ::tsl::OkStatus() Which is: OK (tsl::Env::Default()->FileExists( tsl::io::JoinPath(test_dir_, "dump2_0001_tensorflow::quantization::(anonymous " "namespace)::NoOpPass_before.mlir"))) Which is: NOT_FOUND: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test.outputs/dump2_0001_tensorflow::quantization::(anonymous namespace)::NoOpPass_before.mlir not found [ FAILED ] EnableIrPrintingTest.NestedPassSuccessfullyRuns (1 ms) [----------] 2 tests from EnableIrPrintingTest (6 ms total) [----------] Global test environment tear-down [==========] 2 tests from 1 test suite ran. (7 ms total) [ PASSED ] 0 tests. [ FAILED ] 2 tests, listed below: [ FAILED ] EnableIrPrintingTest.PassSuccessfullyRuns [ FAILED ] EnableIrPrintingTest.NestedPassSuccessfullyRuns 2 FAILED TESTS ================================================================================ ==================== Test output for //tensorflow/python/distribute/failure_handling:failure_handler_test (shard 1 of 8): Running tests under Python 3.11.6: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/python_aarch64-unknown-linux-gnu/bin/python3 [ RUN ] PreemptionCheckpointTest.test_error_propagation INFO:tensorflow:Using local port 24244 I0211 23:09:44.726800 281473703179296 test_util.py:3999] Using local port 24244 INFO:tensorflow:Using local port 24243 I0211 23:09:44.728867 281473703179296 test_util.py:3999] Using local port 24243 INFO:tensorflow:Using local port 24242 I0211 23:09:44.730291 281473703179296 test_util.py:3999] Using local port 24242 INFO:tensorflow:Using local port 24241 I0211 23:09:44.731586 281473703179296 test_util.py:3999] Using local port 24241 INFO:tensorflow:Cluster starting. I0211 23:09:49.888019 281473703179296 failure_handler_test.py:387] Cluster starting. [worker-0]: I0211 23:09:49.924614 281472912028704 multi_process_runner.py:840] Subprocess with PID 812038 (worker, 0) is now being started. [worker-0]: I0211 23:09:49.925042 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24244", "localhost:24243", "localhost:24242", "localhost:24241"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-1]: I0211 23:09:49.953948 281472912028704 multi_process_runner.py:840] Subprocess with PID 812174 (worker, 1) is now being started. [worker-3]: I0211 23:09:49.955245 281472912028704 multi_process_runner.py:840] Subprocess with PID 812188 (worker, 3) is now being started. [worker-1]: I0211 23:09:49.954361 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24244", "localhost:24243", "localhost:24242", "localhost:24241"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-3]: I0211 23:09:49.955628 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24244", "localhost:24243", "localhost:24242", "localhost:24241"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2024-02-11 23:09:49.961107: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24244 [worker-2]: I0211 23:09:49.967446 281472912028704 multi_process_runner.py:840] Subprocess with PID 812180 (worker, 2) is now being started. [worker-2]: I0211 23:09:49.967848 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24244", "localhost:24243", "localhost:24242", "localhost:24241"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-0]: 2024-02-11 23:09:49.998049: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 5309449580099532523 [worker-0]: 2024-02-11 23:09:49.998099: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 3/4 tasks to connect. [worker-0]: 2024-02-11 23:09:49.998110: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-0]: /job:worker/replica:0/task:3 [worker-0]: /job:worker/replica:0/task:2 [worker-0]: /job:worker/replica:0/task:1 [worker-0]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1707692989.998744 812038 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-2]: 2024-02-11 23:09:50.021407: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24242 [worker-1]: 2024-02-11 23:09:50.029626: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24243 [worker-0]: 2024-02-11 23:09:50.035698: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 10679128103802027840 [worker-0]: 2024-02-11 23:09:50.035743: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 2/4 tasks to connect. [worker-2]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-1]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: 2024-02-11 23:09:50.035755: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-2]: I0000 00:00:1707692990.036036 812180 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-1]: I0000 00:00:1707692990.036079 812174 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: /job:worker/replica:0/task:3 [worker-0]: /job:worker/replica:0/task:2 [worker-0]: 2024-02-11 23:09:50.035847: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 10639272971887232294 [worker-0]: 2024-02-11 23:09:50.035862: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 1/4 tasks to connect. [worker-0]: 2024-02-11 23:09:50.035870: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-0]: /job:worker/replica:0/task:3 [worker-3]: 2024-02-11 23:09:50.062207: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24241 [worker-0]: 2024-02-11 23:09:50.110310: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 7082866199178142691 [worker-0]: 2024-02-11 23:09:50.110356: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 0/4 tasks to connect. [worker-3]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-3]: I0000 00:00:1707692990.114246 812188 coordination_service_agent.cc:303] 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]: I0211 23:09:50.119253 281472912028704 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: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]: I0211 23:09:50.148422 281472912028704 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I0211 23:09:50.146430 281472912028704 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]: I0211 23:09:50.167492 281472912028704 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]: I0211 23:09:50.216081 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0211 23:09:50.216605 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24244', 'localhost:24243', 'localhost:24242', 'localhost:24241']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0211 23:09:50.216843 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24244', 'localhost:24243', 'localhost:24242', 'localhost:24241']}, 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]: I0211 23:09:50.223748 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0211 23:09:50.224286 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24244', 'localhost:24243', 'localhost:24242', 'localhost:24241']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0211 23:09:50.224527 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24244', 'localhost:24243', 'localhost:24242', 'localhost:24241']}, 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]: I0211 23:09:50.238378 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0211 23:09:50.238902 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24244', 'localhost:24243', 'localhost:24242', 'localhost:24241']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0211 23:09:50.239141 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24244', 'localhost:24243', 'localhost:24242', 'localhost:24241']}, 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]: I0211 23:09:50.242204 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0211 23:09:50.243129 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24244', 'localhost:24243', 'localhost:24242', 'localhost:24241']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0211 23:09:50.243370 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24244', 'localhost:24243', 'localhost:24242', 'localhost:24241']}, 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]: I0211 23:09:50.284960 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0211 23:09:50.286120 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: I0211 23:09:50.286381 281472912028704 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: I0211 23:09:50.286386 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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 watcher for local signal. [worker-0]: Instructions for updating: [worker-1]: I0211 23:09:50.287264 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: I0211 23:09:50.286244 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0211 23:09:50.290266 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: W0211 23:09:50.286702 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-0]: Instructions for updating: [worker-1]: I0211 23:09:50.287509 281472912028704 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: INFO:tensorflow:Start training at 0 [worker-0]: I0211 23:09:50.286891 281472912028704 failure_handler_test.py:197] Start training at 0 [worker-3]: I0211 23:09:50.291118 281472912028704 failure_handling.py:674] Start watcher for local signal. [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: Instructions for updating: [worker-3]: I0211 23:09:50.291360 281472912028704 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: W0211 23:09:50.287832 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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-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]: W0211 23:09:50.291667 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: I0211 23:09:50.288022 281472912028704 failure_handler_test.py:197] Start training at 0 [worker-3]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: INFO:tensorflow:Start training at 0 [worker-3]: I0211 23:09:50.291852 281472912028704 failure_handler_test.py:197] Start training at 0 [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-2]: I0211 23:09:50.325101 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0211 23:09:50.325468 281472912028704 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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: W0211 23:09:50.325821 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: I0211 23:09:50.326012 281472912028704 failure_handler_test.py:197] 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]: I0211 23:09:50.443403 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:50.445155 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:50.478674 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Error reported to Coordinator: in user code: [worker-2]: [worker-0]: 2024-02-11 23:09:50.509321: E external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:1018] /job:worker/replica:0/task:2 has been set to ERROR in coordination service: RESOURCE_EXHAUSTED: in user code: [worker-0]: [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-2]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-2]: Traceback (most recent call last): [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/training/coordinator.py", line 293, in stop_on_exception [worker-2]: yield [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 387, in run [worker-2]: self.main_result = self.main_fn(*self.main_args, **self.main_kwargs) [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/autograph/impl/api.py", line 693, in wrapper [worker-2]: raise e.ag_error_metadata.to_exception(e) [worker-2]: tensorflow.python.framework.errors_impl.ResourceExhaustedError: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-2]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-2]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-2]: I0211 23:09:50.494869 281447235383776 coordinator.py:213] Error reported to Coordinator: in user code: [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-0]: [worker-0]: ResourceExhaustedError: Running out of resources [worker-0]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-0]: E0000 00:00:1707692990.512148 812502 coordination_service_agent.cc:749] Coordination agent is set to ERROR: RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-0]: [worker-0]: ResourceExhaustedError: Running out of resources [worker-0]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-0]: 2024-02-11 23:09:50.512262: E tensorflow/core/common_runtime/base_collective_executor.cc:249] BaseCollectiveExecutor::StartAbort RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-3]: E0000 00:00:1707692990.523593 813432 coordination_service_agent.cc:749] Coordination agent is set to ERROR: RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-3]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-1]: E0000 00:00:1707692990.525677 812991 coordination_service_agent.cc:749] Coordination agent is set to ERROR: RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [worker-3]: raise errors_impl.ResourceExhaustedError( [worker-3]: [worker-3]: ResourceExhaustedError: Running out of resources [worker-3]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-3]: 2024-02-11 23:09:50.523738: E tensorflow/core/common_runtime/base_collective_executor.cc:249] BaseCollectiveExecutor::StartAbort RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-3]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-3]: raise errors_impl.ResourceExhaustedError( [worker-3]: [worker-3]: ResourceExhaustedError: Running out of resources [worker-3]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-2]: [worker-1]: [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-0]: [worker-0]: ResourceExhaustedError: Running out of resources [worker-0]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-2]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-2]: Traceback (most recent call last): [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-1]: raise errors_impl.ResourceExhaustedError( [worker-1]: [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/training/coordinator.py", line 293, in stop_on_exception [worker-1]: ResourceExhaustedError: Running out of resources [worker-1]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-1]: 2024-02-11 23:09:50.525798: E tensorflow/core/common_runtime/base_collective_executor.cc:249] BaseCollectiveExecutor::StartAbort RESOURCE_EXHAUSTED: Error reported from /job:worker/task:2: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-1]: raise errors_impl.ResourceExhaustedError( [worker-1]: [worker-1]: ResourceExhaustedError: Running out of resources [worker-1]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-2]: yield [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 387, in run [worker-2]: self.main_result = self.main_fn(*self.main_args, **self.main_kwargs) [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/autograph/impl/api.py", line 693, in wrapper [worker-2]: raise e.ag_error_metadata.to_exception(e) [worker-2]: tensorflow.python.framework.errors_impl.ResourceExhaustedError: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-2]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-2]: [worker-2]: INFO:tensorflow:Propagating error to cluster: ResourceExhaustedError(): in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-2]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-2]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-2]: [worker-2]: I0211 23:09:50.507761 281472912028704 failure_handling.py:918] Propagating error to cluster: ResourceExhaustedError(): in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-2]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-2]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-2]: [worker-2]: E0000 00:00:1707692990.508062 812180 coordination_service_agent.cc:749] Coordination agent is set to ERROR: RESOURCE_EXHAUSTED: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-2]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-2]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-2]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-2]: 2024-02-11 23:09:50.508186: E tensorflow/core/common_runtime/base_collective_executor.cc:249] BaseCollectiveExecutor::StartAbort RESOURCE_EXHAUSTED: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-2]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-2]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-2]: [type.googleapis.com/tensorflow.CoordinationServiceError='\x18\x01\"\n\n\x06worker\x10\x02'] [worker-2]: I0000 00:00:1707692990.508229 812180 coordination_service_agent.cc:438] Reporting error to coordination service: RESOURCE_EXHAUSTED: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-2]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-2]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-2]: raise errors_impl.ResourceExhaustedError( [worker-2]: [worker-2]: ResourceExhaustedError: Running out of resources [worker-2]: [worker-0]: 2024-02-11 23:09:50.605908: W tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: RESOURCE_EXHAUSTED: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-0]: [worker-0]: ResourceExhaustedError: Running out of resources [worker-0]: [worker-0]: The error could be from a previous operation. Restart your program to reset. [worker-0]: [[{{node CollectiveReduceV2}}]] [worker-0]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-0]: [type.googleapis.com/tensorflow.DerivedStatus=''] [worker-1]: 2024-02-11 23:09:50.615222: W tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: RESOURCE_EXHAUSTED: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-1]: raise errors_impl.ResourceExhaustedError( [worker-1]: [worker-1]: ResourceExhaustedError: Running out of resources [worker-1]: [worker-1]: The error could be from a previous operation. Restart your program to reset. [worker-1]: [[{{node CollectiveReduceV2}}]] [worker-1]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-1]: [type.googleapis.com/tensorflow.DerivedStatus=''] [worker-0]: INFO:tensorflow:Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [worker-0]: [worker-0]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 558, in [worker-0]: [worker-0]: File "", line 1, in [worker-0]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 274, in main [worker-0]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 313, in _serve_one [worker-0]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/spawn.py", line 135, in _main [worker-0]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap [worker-0]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 108, in 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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 367, in assert_raise_error [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 229, in worker_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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 192, in distributed_train_step [worker-1]: INFO:tensorflow:Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn [worker-0]: [worker-0]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-1]: [worker-0]: [worker-1]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 558, in [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-1]: [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-0]: [worker-0]: ResourceExhaustedError: Running out of resources [worker-0]: [worker-1]: File "", line 1, in [worker-0]: The error could be from a previous operation. Restart your program to reset. [worker-0]: [[{{node CollectiveReduceV2}}]] [worker-0]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-0]: [Op:__inference_train_step_40] [worker-1]: [worker-0]: I0211 23:09:50.619055 281472912028704 failure_handling.py:918] Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 274, in main [worker-1]: [worker-0]: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 313, in _serve_one [worker-0]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-1]: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/spawn.py", line 135, in _main [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 558, in [worker-0]: [worker-0]: File "", line 1, in [worker-0]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 274, in main [worker-0]: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 313, in _serve_one [worker-1]: [worker-0]: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/spawn.py", line 135, in _main [worker-1]: [worker-0]: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 108, in run [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 367, in assert_raise_error [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 108, in run [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 229, in worker_fn [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 367, in assert_raise_error [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 192, in distributed_train_step [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 229, in worker_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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 192, in distributed_train_step [worker-1]: [worker-0]: [worker-1]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-0]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-0]: [worker-1]: raise errors_impl.ResourceExhaustedError( [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: [worker-0]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-1]: ResourceExhaustedError: Running out of resources [worker-0]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-1]: [worker-0]: raise errors_impl.ResourceExhaustedError( [worker-1]: The error could be from a previous operation. Restart your program to reset. [worker-0]: [worker-1]: [[{{node CollectiveReduceV2}}]] [worker-0]: ResourceExhaustedError: Running out of resources [worker-1]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-0]: [worker-1]: [Op:__inference_train_step_38] [worker-0]: The error could be from a previous operation. Restart your program to reset. [worker-1]: I0211 23:09:50.620890 281472912028704 failure_handling.py:918] Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [worker-0]: [[{{node CollectiveReduceV2}}]] [worker-1]: [worker-0]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-1]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-0]: [Op:__inference_train_step_40] [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 558, in [worker-0]: INFO:tensorflow:Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. [worker-1]: [worker-0]: I0211 23:09:50.619465 281472912028704 failure_handling.py:922] Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. [worker-1]: File "", line 1, in [worker-1]: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 274, in main [worker-1]: [worker-3]: 2024-02-11 23:09:50.651097: W tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: RESOURCE_EXHAUSTED: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-3]: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 313, in _serve_one [worker-1]: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/spawn.py", line 135, in _main [worker-1]: [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-1]: [worker-3]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 108, in run [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-1]: [worker-3]: raise errors_impl.ResourceExhaustedError( [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 367, in assert_raise_error [worker-3]: [worker-1]: [worker-3]: ResourceExhaustedError: Running out of resources [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 229, in worker_fn [worker-3]: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 192, in distributed_train_step [worker-3]: The error could be from a previous operation. Restart your program to reset. [worker-1]: [worker-3]: [[{{node CollectiveReduceV2}}]] [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn [worker-3]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-1]: [worker-3]: [type.googleapis.com/tensorflow.DerivedStatus=''] [worker-1]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [worker-3]: INFO:tensorflow:Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-3]: [worker-1]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-3]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 558, in [worker-1]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-3]: [worker-1]: raise errors_impl.ResourceExhaustedError( [worker-3]: File "", line 1, in [worker-1]: [worker-3]: [worker-1]: ResourceExhaustedError: Running out of resources [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 274, in main [worker-1]: [worker-3]: [worker-1]: The error could be from a previous operation. Restart your program to reset. [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 313, in _serve_one [worker-1]: [[{{node CollectiveReduceV2}}]] [worker-3]: [worker-1]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/spawn.py", line 135, in _main [worker-1]: [Op:__inference_train_step_38] [worker-3]: [worker-1]: INFO:tensorflow:Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap [worker-1]: I0211 23:09:50.621287 281472912028704 failure_handling.py:922] Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. [worker-3]: [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 108, in run [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 367, in assert_raise_error [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 229, in worker_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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 192, in distributed_train_step [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn [worker-3]: [worker-3]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-3]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-3]: raise errors_impl.ResourceExhaustedError( [worker-3]: [worker-3]: ResourceExhaustedError: Running out of resources [worker-3]: [worker-3]: The error could be from a previous operation. Restart your program to reset. [worker-3]: [[{{node CollectiveReduceV2}}]] [worker-3]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-3]: [Op:__inference_train_step_38] [worker-3]: I0211 23:09:50.656558 281472912028704 failure_handling.py:918] Propagating error to cluster: ResourceExhaustedError(): Graph execution error: [worker-3]: [worker-3]: Detected at node CollectiveReduceV2 defined at (most recent call last): [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 558, in [worker-3]: [worker-3]: File "", line 1, in [worker-3]: [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 274, in main [worker-3]: [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/forkserver.py", line 313, in _serve_one [worker-3]: [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/spawn.py", line 135, in _main [worker-3]: [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap [worker-3]: [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/external/python_aarch64-unknown-linux-gnu/lib/python3.11/multiprocessing/process.py", line 108, in run [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 367, in assert_raise_error [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 229, in worker_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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 192, in distributed_train_step [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn [worker-3]: [worker-3]: Collective ops is aborted by: Error reported from /job:worker/task:2: in user code: [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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/mirrored_run.py", line 79, in wrapped_fn * [worker-3]: return call_for_each_replica(strategy, fn.python_function, args, kwargs) [worker-3]: File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 187, in train_step * [worker-3]: raise errors_impl.ResourceExhaustedError( [worker-3]: [worker-3]: ResourceExhaustedError: Running out of resources [worker-3]: [worker-3]: The error could be from a previous operation. Restart your program to reset. [worker-3]: [[{{node CollectiveReduceV2}}]] [worker-3]: Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. [worker-3]: [Op:__inference_train_step_38] [worker-3]: INFO:tensorflow:Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. [worker-3]: I0211 23:09:50.656988 281472912028704 failure_handling.py:922] Ignoring error during error propagation: FailedPreconditionError():Coordination service agent is already in error state. I0211 23:09:50.905211 281473703179296 multi_process_runner.py:646] worker-0 exit code: 0 I0211 23:09:50.905542 281473703179296 multi_process_runner.py:646] worker-1 exit code: 0 I0211 23:09:50.905723 281473703179296 multi_process_runner.py:646] worker-2 exit code: 0 I0211 23:09:50.905907 281473703179296 multi_process_runner.py:646] worker-3 exit code: 0 I0211 23:09:50.927695 281473703179296 multi_process_runner.py:662] Joining log reading threads. I0211 23:09:50.928018 281473703179296 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_error_propagation): 6.3s I0211 23:09:51.020252 281473703179296 test_util.py:2620] time(__main__.PreemptionCheckpointTest.test_error_propagation): 6.3s [ OK ] PreemptionCheckpointTest.test_error_propagation [ RUN ] PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_manager_strategyoption_OneDevice INFO:tensorflow:Start watcher for local signal. I0211 23:09:51.147536 281473703179296 failure_handling.py:674] Start watcher for local signal. INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. I0211 23:09:51.147899 281473703179296 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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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. W0211 23:09:51.148204 281473703179296 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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 I0211 23:09:51.148395 281473703179296 failure_handler_test.py:197] Start training at 0 WARNING:tensorflow:5 out of the last 5 calls to .distributed_train_step..train_step at 0xffff04ad36a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. W0211 23:09:51.349877 281473703179296 polymorphic_function.py:157] 5 out of the last 5 calls to .distributed_train_step..train_step at 0xffff04ad36a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 .distributed_train_step..train_step at 0xffff04ad36a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. W0211 23:09:51.363745 281473703179296 polymorphic_function.py:157] 6 out of the last 6 calls to .distributed_train_step..train_step at 0xffff04ad36a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 I0211 23:09:51.483701 281473703179296 failure_handler_test.py:195] epoch 0 finished INFO:tensorflow:epoch 1 finished I0211 23:09:51.909952 281473703179296 failure_handler_test.py:195] epoch 1 finished INFO:tensorflow:epoch 2 finished I0211 23:09:52.127650 281473703179296 failure_handler_test.py:195] epoch 2 finished INFO:tensorflow:epoch 3 finished I0211 23:09:52.442609 281473703179296 failure_handler_test.py:195] epoch 3 finished INFO:tensorflow:epoch 4 finished I0211 23:09:52.658883 281473703179296 failure_handler_test.py:195] epoch 4 finished INFO:tensorflow:epoch 5 finished I0211 23:09:52.856351 281473703179296 failure_handler_test.py:195] epoch 5 finished INFO:tensorflow:sending sigterm I0211 23:09:53.023788 281470681739744 failure_handler_test.py:467] sending sigterm INFO:tensorflow:Member single_worker has received termination notice. I0211 23:09:53.055189 281473703179296 failure_handling.py:701] Member single_worker has received termination notice. INFO:tensorflow:Termination caught in main thread on preempted worker I0211 23:09:53.056194 281473703179296 failure_handling.py:1159] Termination caught in main thread on preempted worker INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. I0211 23:09:53.085753 281473703179296 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. I0211 23:09:53.135835 281473703179296 functional_saver.py:438] Sharding callback duration: 24 INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90cncfe0q1/tmp6e12jqy5/fh_ckpt I0211 23:09:53.183501 281473703179296 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90cncfe0q1/tmp6e12jqy5/fh_ckpt INFO:tensorflow:Continue training for the grace period. I0211 23:09:53.183790 281473703179296 failure_handling.py:1134] Continue training for the grace period. INFO:tensorflow:epoch 6 finished I0211 23:09:53.298015 281473703179296 failure_handler_test.py:195] epoch 6 finished INFO:tensorflow:epoch 7 finished I0211 23:09:53.523826 281473703179296 failure_handler_test.py:195] epoch 7 finished INFO:tensorflow:Training finished. I0211 23:09:53.524324 281473703179296 failure_handler_test.py:245] Training finished. INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_manager_strategyoption_OneDevice): 2.5s I0211 23:09:53.525364 281473703179296 test_util.py:2620] time(__main__.PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_manager_strategyoption_OneDevice): 2.5s [ OK ] PreemptionCheckpointTest.test_grace_period_continue_training_test_inputarg_manager_strategyoption_OneDevice [ RUN ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 24200 I0211 23:09:53.538267 281473703179296 test_util.py:3999] Using local port 24200 INFO:tensorflow:Using local port 24199 I0211 23:09:53.545499 281473703179296 test_util.py:3999] Using local port 24199 INFO:tensorflow:Using local port 24198 I0211 23:09:53.547951 281473703179296 test_util.py:3999] Using local port 24198 INFO:tensorflow:Using local port 24197 I0211 23:09:53.549870 281473703179296 test_util.py:3999] Using local port 24197 INFO:tensorflow:Cluster starting. I0211 23:09:53.606900 281473703179296 failure_handler_test.py:297] Cluster starting. [worker-0]: I0211 23:09:53.710822 281472912028704 multi_process_runner.py:840] Subprocess with PID 823598 (worker, 0) is now being started. [worker-0]: I0211 23:09:53.711219 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24200", "localhost:24199", "localhost:24198", "localhost:24197"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-0]: 2024-02-11 23:09:53.771965: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24200 [worker-0]: 2024-02-11 23:09:53.865702: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 17052620623652366358 [worker-0]: 2024-02-11 23:09:53.865751: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 3/4 tasks to connect. [worker-0]: 2024-02-11 23:09:53.865763: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-0]: /job:worker/replica:0/task:3 [worker-0]: /job:worker/replica:0/task:2 [worker-0]: /job:worker/replica:0/task:1 [worker-0]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1707692993.870390 823598 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-1]: I0211 23:09:53.927420 281472912028704 multi_process_runner.py:840] Subprocess with PID 823630 (worker, 1) is now being started. [worker-1]: I0211 23:09:53.927938 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24200", "localhost:24199", "localhost:24198", "localhost:24197"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0211 23:09:53.956894 281472912028704 multi_process_runner.py:840] Subprocess with PID 823759 (worker, 2) is now being started. [worker-3]: I0211 23:09:53.987218 281472912028704 multi_process_runner.py:840] Subprocess with PID 823795 (worker, 3) is now being started. [worker-3]: I0211 23:09:53.987602 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24200", "localhost:24199", "localhost:24198", "localhost:24197"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-2]: I0211 23:09:53.957294 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24200", "localhost:24199", "localhost:24198", "localhost:24197"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-2]: 2024-02-11 23:09:54.067167: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24198 [worker-0]: 2024-02-11 23:09:54.075798: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 4373821023402841670 [worker-2]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-2]: I0000 00:00:1707692994.076086 823759 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: 2024-02-11 23:09:54.075843: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 2/4 tasks to connect. [worker-0]: 2024-02-11 23:09:54.075856: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-0]: /job:worker/replica:0/task:3 [worker-0]: /job:worker/replica:0/task:1 [worker-3]: 2024-02-11 23:09:54.105599: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24197 [worker-0]: 2024-02-11 23:09:54.125177: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 13123908197752292070 [worker-0]: 2024-02-11 23:09:54.125225: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 1/4 tasks to connect. [worker-0]: 2024-02-11 23:09:54.125237: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-0]: /job:worker/replica:0/task:1 [worker-3]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-3]: I0000 00:00:1707692994.158273 823795 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-1]: 2024-02-11 23:09:54.466026: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24199 [worker-0]: 2024-02-11 23:09:54.485202: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 2103667834169721148 [worker-0]: 2024-02-11 23:09:54.485253: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 0/4 tasks to connect. [worker-1]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-1]: I0000 00:00:1707692994.501814 823630 coordination_service_agent.cc:303] 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]: I0211 23:09:54.512456 281472912028704 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]: I0211 23:09:54.510654 281472912028704 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: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]: I0211 23:09:54.515960 281472912028704 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]: I0211 23:09:54.515926 281472912028704 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: I0211 23:09:54.573250 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-2]: I0211 23:09:54.573781 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, task_type = 'worker', task_id = 2, num_workers = 4, local_devices = ('/job:worker/task:2/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0211 23:09:54.574023 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, 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-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: I0211 23:09:54.600848 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0211 23:09:54.601366 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0211 23:09:54.601605 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0211 23:09:54.597673 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0211 23:09:54.598816 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0211 23:09:54.599063 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, 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]: I0211 23:09:54.777827 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-1]: INFO:tensorflow:Check health not enabled. [worker-1]: I0211 23:09:54.778901 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0211 23:09:54.779145 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0211 23:09:54.868975 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: I0211 23:09:54.872427 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-0]: I0211 23:09:54.873318 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: I0211 23:09:54.874483 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-2]: I0211 23:09:54.872837 281472912028704 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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: I0211 23:09:54.875677 281472912028704 failure_handling.py:674] Start watcher for local signal. [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]: I0211 23:09:54.875974 281472912028704 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: W0211 23:09:54.873236 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-1]: Track steps using a tf.Variable saved in checkpoint instead. [worker-2]: INFO:tensorflow:Start training at 0 [worker-1]: W0211 23:09:54.876331 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: I0211 23:09:54.873437 281472912028704 failure_handler_test.py:197] Start training at 0 [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]: I0211 23:09:54.876527 281472912028704 failure_handler_test.py:197] Start training at 0 [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I0211 23:09:54.885369 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0211 23:09:54.885714 281472912028704 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: W0211 23:09:54.886062 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: I0211 23:09:54.886251 281472912028704 failure_handler_test.py:197] Start training at 0 [worker-3]: I0211 23:09:54.886004 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-3]: I0211 23:09:54.915767 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0211 23:09:54.916201 281472912028704 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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: W0211 23:09:54.916625 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: I0211 23:09:54.916831 281472912028704 failure_handler_test.py:197] 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]: I0211 23:09:55.257344 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:55.275799 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:55.336960 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:55.734172 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:55.849791 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:55.870737 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:55.870110 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:09:55.872046 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.009720 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:55.998430 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.010559 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.027105 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.114849 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:09:56.115348 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.120795 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.123337 281472912028704 cross_device_ops.py:1154] 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-2]: I0211 23:09:56.218598 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:09:56.217319 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.225585 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.235931 281472912028704 cross_device_ops.py:1154] 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 0xffff8068cf40> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff80688f40> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:09:56.341914 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff80688f40> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:09:56.336344 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff8068cf40> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: I0211 23:09:56.345409 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.351005 281472912028704 cross_device_ops.py:1154] 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 0xffff80695940> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:09:56.355302 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff80695940> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff8068cea0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:09:56.364271 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff8068cea0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: I0211 23:09:56.365153 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.399796 281472912028704 cross_device_ops.py:1154] 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 0xffff8068e8e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:09:56.465409 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff8068e8e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff8068b6a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:09:56.470918 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff8068b6a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff80696700> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:09:56.479351 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff80696700> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff8068f060> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:09:56.476323 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff8068f060> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: I0211 23:09:56.480130 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.513138 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.500068 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.519549 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.605319 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.605965 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.615942 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.605798 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.687302 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.689745 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.690779 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.699538 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.785368 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.786367 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.786030 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.799446 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.858982 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:09:56.859121 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.867266 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.873739 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.971053 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.975178 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.979498 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:56.984308 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:57.065244 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:57.070047 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:57.097227 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:57.099320 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, 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= 1 [worker-0]: I0211 23:09:58.656299 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:09:58.656446 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:58.656618 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:58.657137 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:58.765294 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:09:58.765315 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:09:58.775538 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:09:58.774609 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:58.871889 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:09:58.872290 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:58.873510 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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23:09:58.941898 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:58.942806 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:58.947077 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:59.004226 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:59.003109 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:59.019347 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:59.019632 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 1 finished [worker-1]: INFO:tensorflow:epoch 1 finished [worker-1]: I0211 23:09:59.089406 281472912028704 failure_handler_test.py:195] epoch 1 finished [worker-0]: I0211 23:09:59.088593 281472912028704 failure_handler_test.py:195] epoch 1 finished [worker-2]: INFO:tensorflow:epoch 1 finished [worker-2]: I0211 23:09:59.089493 281472912028704 failure_handler_test.py:195] epoch 1 finished [worker-3]: INFO:tensorflow:epoch 1 finished [worker-3]: I0211 23:09:59.095324 281472912028704 failure_handler_test.py:195] 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]: I0211 23:09:59.105883 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:59.119609 281472912028704 cross_device_ops.py:1154] 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 = 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implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:09:59.422203 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:59.670137 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:59.689203 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:59.678908 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:09:59.729442 281472912028704 cross_device_ops.py:1154] 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-3]: I0211 23:10:00.272925 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:00.338127 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:00.338304 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, 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CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:00.414135 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:00.414459 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:00.409691 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, 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= 1 [worker-0]: I0211 23:10:00.865633 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:00.864444 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:00.923523 281472912028704 cross_device_ops.py:1154] 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, 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= 1 [worker-1]: I0211 23:10:01.555755 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:01.554555 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:01.573746 281472912028704 cross_device_ops.py:1154] 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, 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= 1 [worker-3]: I0211 23:10:01.746150 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:01.747971 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:01.748346 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:01.748449 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 INFO:tensorflow:sending sigterm I0211 23:10:01.785388 281473703179296 failure_handler_test.py:302] sending sigterm INFO:tensorflow:sigterm sent I0211 23:10:01.785747 281473703179296 failure_handler_test.py:306] sigterm sent [worker-2]: INFO:tensorflow:Member 2 has received termination notice. [worker-2]: I0211 23:10:01.971939 281472912028704 failure_handling.py:710] Member 2 has received termination notice. [worker-2]: INFO:tensorflow:Termination caught in main thread on preempted worker [worker-2]: I0211 23:10:01.972469 281472912028704 failure_handling.py:1159] Termination caught in main thread on preempted worker [worker-2]: INFO:tensorflow:RUN_TO_CHECKPOINT set to 56 [worker-2]: I0211 23:10:01.973525 281472912028704 failure_handling.py:1168] RUN_TO_CHECKPOINT set to 56 [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_2 set, preemption awareness acknowledged [worker-2]: I0211 23:10:01.973634 281448283763168 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_2 set, preemption awareness acknowledged [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]: I0211 23:10:01.974598 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:01.975301 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 set, preemption awareness acknowledged [worker-3]: I0211 23:10:01.985821 281446916747744 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_3 set, preemption awareness acknowledged [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 0 received [worker-0]: I0211 23:10:01.987020 281446849638880 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_0 set, preemption awareness acknowledged [worker-2]: I0211 23:10:01.987768 281472912028704 failure_handling.py:1177] Sigterm acknowledgement from replica 0 received [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 1 received [worker-2]: I0211 23:10:01.988573 281472912028704 failure_handling.py:1177] Sigterm acknowledgement from replica 1 received [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 2 received [worker-2]: I0211 23:10:01.989223 281472912028704 failure_handling.py:1177] Sigterm acknowledgement from replica 2 received [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:01.986359 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged [worker-1]: I0211 23:10:01.990810 281447050965472 failure_handling.py:1242] PreemptionCheckpointHandler: RECEIVED_SIGNAL_RUN_TO_CHECKPOINT_1 set, preemption awareness acknowledged [worker-2]: INFO:tensorflow:Sigterm acknowledgement from replica 3 received [worker-2]: I0211 23:10:01.989787 281472912028704 failure_handling.py:1177] Sigterm acknowledgement from replica 3 received [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:01.998624 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-3]: I0211 23:10:02.048561 281472912028704 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-1]: I0211 23:10:02.048970 281472912028704 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-0]: I0211 23:10:02.048708 281472912028704 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-2]: I0211 23:10:02.055939 281472912028704 failure_handling.py:1063] PreemptionCheckpointHandler: Starting saving a checkpoint. [worker-3]: I0211 23:10:02.078846 281472912028704 functional_saver.py:438] Sharding callback duration: 20 [worker-1]: I0211 23:10:02.079068 281472912028704 functional_saver.py:438] Sharding callback duration: 20 [worker-2]: I0211 23:10:02.085989 281472912028704 functional_saver.py:438] Sharding callback duration: 21 [worker-0]: I0211 23:10:02.077498 281472912028704 functional_saver.py:438] Sharding callback duration: 19 [worker-0]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90cncfe0q1/tmpzq_q5iv_/fh_ckpt [worker-0]: I0211 23:10:02.094926 281472912028704 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90cncfe0q1/tmpzq_q5iv_/fh_ckpt [worker-3]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90cncfe0q1/tmpzq_q5iv_/workertemp_3/fh_ckpt [worker-3]: I0211 23:10:02.095837 281472912028704 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90cncfe0q1/tmpzq_q5iv_/workertemp_3/fh_ckpt [worker-1]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90cncfe0q1/tmpzq_q5iv_/workertemp_1/fh_ckpt [worker-1]: I0211 23:10:02.096169 281472912028704 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90cncfe0q1/tmpzq_q5iv_/workertemp_1/fh_ckpt [worker-0]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-0]: I0211 23:10:02.097146 281472912028704 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-0]: I0211 23:10:02.097380 281472912028704 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-3]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-3]: I0211 23:10:02.122727 281472912028704 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-1]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-3]: I0211 23:10:02.122990 281472912028704 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-1]: I0211 23:10:02.123842 281472912028704 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-2]: INFO:tensorflow:Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90cncfe0q1/tmpzq_q5iv_/workertemp_2/fh_ckpt [worker-1]: I0211 23:10:02.124077 281472912028704 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-2]: I0211 23:10:02.124750 281472912028704 failure_handling.py:1078] Checkpoint finished at path /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/_tmp/1974f2236c3f9f2f111c0901320a7b90cncfe0q1/tmpzq_q5iv_/workertemp_2/fh_ckpt [worker-2]: INFO:tensorflow:Shut down watcher for peer's termination signal. [worker-2]: I0211 23:10:02.126176 281472912028704 failure_handling.py:771] Shut down watcher for peer's termination signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler: checkpoint saved. Exiting. [worker-2]: I0211 23:10:02.126373 281472912028704 failure_handling.py:1128] PreemptionCheckpointHandler: checkpoint saved. Exiting. INFO:tensorflow:restarting workers I0211 23:10:03.795088 281473703179296 failure_handler_test.py:309] restarting workers [worker-0]: I0211 23:10:03.841069 281472912028704 multi_process_runner.py:840] Subprocess with PID 860963 (worker, 0) is now being started. [worker-0]: I0211 23:10:03.841457 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24200", "localhost:24199", "localhost:24198", "localhost:24197"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' INFO:tensorflow:workers restarted I0211 23:10:03.906332 281473703179296 failure_handler_test.py:313] workers restarted [worker-1]: I0211 23:10:03.912395 281472912028704 multi_process_runner.py:840] Subprocess with PID 861060 (worker, 1) is now being started. [worker-2]: I0211 23:10:03.913653 281472912028704 multi_process_runner.py:840] Subprocess with PID 861192 (worker, 2) is now being started. [worker-1]: I0211 23:10:03.912804 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24200", "localhost:24199", "localhost:24198", "localhost:24197"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0211 23:10:03.914023 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24200", "localhost:24199", "localhost:24198", "localhost:24197"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-3]: I0211 23:10:03.937362 281472912028704 multi_process_runner.py:840] Subprocess with PID 861402 (worker, 3) is now being started. [worker-3]: I0211 23:10:03.937753 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24200", "localhost:24199", "localhost:24198", "localhost:24197"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-0]: 2024-02-11 23:10:03.947176: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24200 [worker-2]: 2024-02-11 23:10:03.959700: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24198 [worker-0]: 2024-02-11 23:10:03.976392: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 5881909585077835124 [worker-0]: 2024-02-11 23:10:03.976443: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 3/4 tasks to connect. [worker-0]: 2024-02-11 23:10:03.976454: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-0]: /job:worker/replica:0/task:3 [worker-2]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: /job:worker/replica:0/task:0 [worker-0]: /job:worker/replica:0/task:1 [worker-2]: I0000 00:00:1707693003.978461 861192 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-3]: 2024-02-11 23:10:03.979351: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24197 [worker-0]: 2024-02-11 23:10:03.981793: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 1211215982332293660 [worker-3]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: 2024-02-11 23:10:03.981832: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 2/4 tasks to connect. [worker-3]: I0000 00:00:1707693003.981985 861402 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: 2024-02-11 23:10:03.981842: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-0]: /job:worker/replica:0/task:0 [worker-0]: /job:worker/replica:0/task:1 [worker-0]: 2024-02-11 23:10:03.983313: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 6816629983310380071 [worker-0]: 2024-02-11 23:10:03.983337: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 1/4 tasks to connect. [worker-0]: 2024-02-11 23:10:03.983347: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-0]: /job:worker/replica:0/task:1 [worker-0]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1707693003.985337 860963 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-1]: 2024-02-11 23:10:03.995606: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24199 [worker-0]: 2024-02-11 23:10:04.015042: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 1024616932598248171 [worker-0]: 2024-02-11 23:10:04.015092: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 0/4 tasks to connect. [worker-1]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-1]: I0000 00:00:1707693004.054448 861060 coordination_service_agent.cc:303] 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]: I0211 23:10:04.066854 281472912028704 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-3]: I0211 23:10:04.066862 281472912028704 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]: I0211 23:10:04.066935 281472912028704 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: I0211 23:10:04.096223 281472912028704 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-2]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-2]: I0211 23:10:04.120330 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:2/device:CPU:0',) [worker-1]: I0211 23:10:04.120435 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-2]: INFO:tensorflow:Check health not enabled. [worker-1]: INFO:tensorflow:Check health not enabled. [worker-2]: I0211 23:10:04.120908 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: I0211 23:10:04.120949 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, 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:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0211 23:10:04.121189 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0211 23:10:04.121151 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, 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]: I0211 23:10:04.132843 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:3/device:CPU:0',) [worker-3]: INFO:tensorflow:Check health not enabled. [worker-3]: I0211 23:10:04.133405 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-3]: I0211 23:10:04.133646 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: INFO:tensorflow:Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: I0211 23:10:04.300771 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0211 23:10:04.301339 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0211 23:10:04.301574 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24200', 'localhost:24199', 'localhost:24198', 'localhost:24197']}, 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:Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-2]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0211 23:10:04.361285 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: I0211 23:10:04.361285 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: I0211 23:10:04.361287 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-2]: I0211 23:10:04.361288 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I0211 23:10:04.362818 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-1]: I0211 23:10:04.362504 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-3]: I0211 23:10:04.363217 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-2]: I0211 23:10:04.362037 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0211 23:10:04.362759 281472912028704 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-3]: I0211 23:10:04.363506 281472912028704 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-0]: I0211 23:10:04.363097 281472912028704 failure_handling.py:538] PreemptionCheckpointHandler initialized or restored. [worker-2]: I0211 23:10:04.362291 281472912028704 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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-3]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: WARNING:tensorflow:From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: Instructions for updating: [worker-3]: Instructions for updating: [worker-0]: Instructions for updating: [worker-2]: 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-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: W0211 23:10:04.363832 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-1]: W0211 23:10:04.363078 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-2]: W0211 23:10:04.362615 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: PreemptionCheckpointHandler.total_run_calls (from tensorflow.python.distribute.failure_handling.failure_handling) is deprecated and will be removed in a future version. [worker-0]: W0211 23:10:04.363422 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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-2]: Instructions for updating: [worker-1]: Instructions for updating: [worker-2]: Track steps using a tf.Variable saved in checkpoint instead. [worker-0]: 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-2]: INFO:tensorflow:Start training at 56 [worker-3]: INFO:tensorflow:Start training at 56 [worker-3]: I0211 23:10:04.364022 281472912028704 failure_handler_test.py:197] Start training at 56 [worker-0]: Track steps using a tf.Variable saved in checkpoint instead. [worker-3]: INFO:tensorflow:training restarted [worker-2]: I0211 23:10:04.362803 281472912028704 failure_handler_test.py:197] Start training at 56 [worker-3]: I0211 23:10:04.371055 281472912028704 failure_handler_test.py:207] training restarted [worker-2]: INFO:tensorflow:training restarted [worker-1]: INFO:tensorflow:Start training at 56 [worker-0]: INFO:tensorflow:Start training at 56 [worker-2]: I0211 23:10:04.368542 281472912028704 failure_handler_test.py:207] training restarted [worker-0]: I0211 23:10:04.363612 281472912028704 failure_handler_test.py:197] Start training at 56 [worker-1]: I0211 23:10:04.363266 281472912028704 failure_handler_test.py:197] Start training at 56 [worker-0]: INFO:tensorflow:training restarted [worker-1]: INFO:tensorflow:training restarted [worker-0]: I0211 23:10:04.370739 281472912028704 failure_handler_test.py:207] training restarted [worker-1]: I0211 23:10:04.368765 281472912028704 failure_handler_test.py:207] training restarted [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]: I0211 23:10:04.727174 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:04.826436 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:04.816861 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.049813 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.125772 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.131618 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.125971 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.166034 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.255095 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.255717 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.264602 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.286754 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.346526 281472912028704 cross_device_ops.py:1154] Collective all_reduce 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group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:05.359599 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.479526 281472912028704 failure_handler_test.py:195] epoch 3 finished [worker-2]: INFO:tensorflow:epoch 3 finished [worker-2]: I0211 23:10:05.481436 281472912028704 failure_handler_test.py:195] epoch 3 finished [worker-1]: INFO:tensorflow:epoch 3 finished [worker-1]: I0211 23:10:05.485434 281472912028704 failure_handler_test.py:195] epoch 3 finished [worker-3]: I0211 23:10:05.477859 281472912028704 failure_handler_test.py:195] 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-3]: I0211 23:10:05.519505 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.529657 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:05.509727 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.529340 281472912028704 cross_device_ops.py:1154] 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 0xffff80690e00> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff806dd940> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:05.646999 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff806dd940> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff806a7740> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:05.650165 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff806a7740> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:05.645613 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff80690e00> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: I0211 23:10:05.655439 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.656037 281472912028704 cross_device_ops.py:1154] 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 0xffff80691bc0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:05.661004 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff80691bc0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: I0211 23:10:05.676979 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.709744 281472912028704 cross_device_ops.py:1154] 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 0xffff806928e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff806a6160> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:05.808297 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff806a6160> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff806dc9a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:05.814089 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff806dc9a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:05.802088 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff806928e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff806913a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:05.819251 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff806913a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:05.826869 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:05.830053 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.859611 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.883327 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.946527 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.969791 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:05.979683 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.019484 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.340013 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.349819 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:06.367167 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.389969 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.490521 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:06.485213 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.504083 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:06.499362 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.638754 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.639349 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.649684 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.640500 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.947145 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:06.979482 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:06.967999 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:06.999454 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.104017 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.107615 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:07.119634 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.139751 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.252997 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.279515 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:07.269363 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.290098 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.397921 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.397936 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.419145 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.539599 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.608696 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.613640 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.647883 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.656614 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.717833 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.723988 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:07.717870 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.769958 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:07.835295 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:09.713326 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:09.720314 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:09.735599 281472912028704 cross_device_ops.py:1154] 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, 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I0211 23:10:10.132246 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:10.140309 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:10.130582 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 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CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:14.441291 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.446289 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.440320 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.490895 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.565798 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.571762 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.580750 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.580306 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.654641 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.661056 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.655091 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.659675 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.722081 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.740400 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.760139 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.762200 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.873672 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.879823 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.878789 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:14.920239 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:epoch 7 finished [worker-0]: INFO:tensorflow:epoch 7 finished [worker-3]: I0211 23:10:14.978726 281472912028704 failure_handler_test.py:195] epoch 7 finished [worker-0]: I0211 23:10:14.978867 281472912028704 failure_handler_test.py:195] epoch 7 finished [worker-3]: INFO:tensorflow:Training finished. [worker-3]: I0211 23:10:14.980360 281472912028704 failure_handler_test.py:245] Training finished. [worker-0]: INFO:tensorflow:Training finished. [worker-0]: I0211 23:10:14.980827 281472912028704 failure_handler_test.py:245] Training finished. [worker-2]: INFO:tensorflow:epoch 7 finished [worker-2]: I0211 23:10:14.986478 281472912028704 failure_handler_test.py:195] epoch 7 finished [worker-1]: INFO:tensorflow:epoch 7 finished [worker-1]: I0211 23:10:14.987451 281472912028704 failure_handler_test.py:195] epoch 7 finished [worker-2]: INFO:tensorflow:Training finished. [worker-2]: I0211 23:10:14.987416 281472912028704 failure_handler_test.py:245] Training finished. [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0211 23:10:14.994791 281472912028704 failure_handler_test.py:245] Training finished. I0211 23:10:15.925843 281473703179296 multi_process_runner.py:646] worker-0 exit code: 0 I0211 23:10:15.926124 281473703179296 multi_process_runner.py:646] worker-1 exit code: 0 I0211 23:10:15.926267 281473703179296 multi_process_runner.py:646] worker-2 exit code: 0 I0211 23:10:15.926398 281473703179296 multi_process_runner.py:646] worker-3 exit code: 0 I0211 23:10:15.931973 281473703179296 multi_process_runner.py:662] Joining log reading threads. I0211 23:10:15.932323 281473703179296 multi_process_runner.py:665] Joined log reading threads. INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker): 22.71s I0211 23:10:16.239871 281473703179296 test_util.py:2620] time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker): 22.71s [ OK ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_False_inputarg_manager_strategyoption_MWMSmultiworker [ RUN ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker INFO:tensorflow:Using local port 24108 I0211 23:10:16.243310 281473703179296 test_util.py:3999] Using local port 24108 INFO:tensorflow:Using local port 24107 I0211 23:10:16.244910 281473703179296 test_util.py:3999] Using local port 24107 INFO:tensorflow:Using local port 24106 I0211 23:10:16.246455 281473703179296 test_util.py:3999] Using local port 24106 INFO:tensorflow:Using local port 24105 I0211 23:10:16.247923 281473703179296 test_util.py:3999] Using local port 24105 INFO:tensorflow:Cluster starting. I0211 23:10:16.327558 281473703179296 failure_handler_test.py:297] Cluster starting. [worker-0]: I0211 23:10:16.390974 281472912028704 multi_process_runner.py:840] Subprocess with PID 907036 (worker, 0) is now being started. [worker-0]: I0211 23:10:16.391484 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24108", "localhost:24107", "localhost:24106", "localhost:24105"]}, "task": {"type": "worker", "index": 0}, "rpc_layer": "grpc"}' [worker-0]: 2024-02-11 23:10:16.433972: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24108 [worker-0]: 2024-02-11 23:10:16.437279: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:0 has connected to coordination service. Incarnation: 17596203274769301649 [worker-0]: 2024-02-11 23:10:16.437319: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 3/4 tasks to connect. [worker-0]: 2024-02-11 23:10:16.437330: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-0]: /job:worker/replica:0/task:3 [worker-0]: /job:worker/replica:0/task:2 [worker-0]: /job:worker/replica:0/task:1 [worker-0]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: I0000 00:00:1707693016.437516 907036 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-1]: I0211 23:10:16.456546 281472912028704 multi_process_runner.py:840] Subprocess with PID 907523 (worker, 1) is now being started. [worker-1]: I0211 23:10:16.457113 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24108", "localhost:24107", "localhost:24106", "localhost:24105"]}, "task": {"type": "worker", "index": 1}, "rpc_layer": "grpc"}' [worker-2]: I0211 23:10:16.510126 281472912028704 multi_process_runner.py:840] Subprocess with PID 907770 (worker, 2) is now being started. [worker-3]: I0211 23:10:16.510200 281472912028704 multi_process_runner.py:840] Subprocess with PID 907863 (worker, 3) is now being started. [worker-3]: I0211 23:10:16.510650 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24108", "localhost:24107", "localhost:24106", "localhost:24105"]}, "task": {"type": "worker", "index": 3}, "rpc_layer": "grpc"}' [worker-2]: I0211 23:10:16.510639 281472912028704 multi_process_runner.py:842] TF_CONFIG: '{"cluster": {"worker": ["localhost:24108", "localhost:24107", "localhost:24106", "localhost:24105"]}, "task": {"type": "worker", "index": 2}, "rpc_layer": "grpc"}' [worker-1]: 2024-02-11 23:10:16.533014: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24107 [worker-3]: 2024-02-11 23:10:16.564961: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24105 [worker-2]: 2024-02-11 23:10:16.566591: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:457] Started server with target: grpc://localhost:24106 [worker-0]: 2024-02-11 23:10:16.571595: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:1 has connected to coordination service. Incarnation: 17075614120271436576 [worker-1]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: 2024-02-11 23:10:16.571647: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 2/4 tasks to connect. [worker-1]: I0000 00:00:1707693016.571851 907523 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: 2024-02-11 23:10:16.571660: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-0]: /job:worker/replica:0/task:3 [worker-0]: /job:worker/replica:0/task:2 [worker-0]: 2024-02-11 23:10:16.594495: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:3 has connected to coordination service. Incarnation: 9016601597864811520 [worker-0]: 2024-02-11 23:10:16.594535: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 1/4 tasks to connect. [worker-0]: 2024-02-11 23:10:16.594547: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:542] Example stragglers: [worker-3]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: /job:worker/replica:0/task:2 [worker-3]: I0000 00:00:1707693016.595115 907863 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-0]: 2024-02-11 23:10:16.598685: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:577] /job:worker/replica:0/task:2 has connected to coordination service. Incarnation: 17775398586193881189 [worker-2]: WARNING: All log messages before absl::InitializeLog() is called are written to STDERR [worker-0]: 2024-02-11 23:10:16.598719: I external/local_tsl/tsl/distributed_runtime/coordination/coordination_service.cc:539] Waiting for 0/4 tasks to connect. [worker-2]: I0000 00:00:1707693016.598892 907770 coordination_service_agent.cc:303] Coordination agent has successfully connected. [worker-1]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-0]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-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]: I0211 23:10:16.601022 281472912028704 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]: I0211 23:10:16.600928 281472912028704 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]: I0211 23:10:16.601026 281472912028704 collective_all_reduce_strategy.py:531] Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1'] [worker-3]: INFO:tensorflow:Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:3/device:CPU:0', '/job:worker/replica:0/task:3/device:CPU:1', '/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:CPU:1', '/job:worker/replica:0/task:1/device:CPU:0', '/job:worker/replica:0/task:1/device:CPU:1', '/job:worker/replica:0/task:2/device:CPU:0', '/job:worker/replica:0/task:2/device:CPU:1'] [worker-3]: I0211 23:10:16.603585 281472912028704 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-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]: I0211 23:10:16.667358 281472912028704 mirrored_strategy.py:423] 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-2]: I0211 23:10:16.667392 281472912028704 mirrored_strategy.py:423] 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-2]: I0211 23:10:16.668076 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-3]: I0211 23:10:16.668056 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-2]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24108', 'localhost:24107', 'localhost:24106', 'localhost:24105']}, 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:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24108', 'localhost:24107', 'localhost:24106', 'localhost:24105']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0211 23:10:16.668119 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:1/device:CPU:0',) [worker-3]: I0211 23:10:16.668303 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24108', 'localhost:24107', 'localhost:24106', 'localhost:24105']}, task_type = 'worker', task_id = 3, num_workers = 4, local_devices = ('/job:worker/task:3/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-2]: I0211 23:10:16.668325 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24108', 'localhost:24107', 'localhost:24106', 'localhost:24105']}, 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:Check health not enabled. [worker-1]: I0211 23:10:16.668811 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-1]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24108', 'localhost:24107', 'localhost:24106', 'localhost:24105']}, task_type = 'worker', task_id = 1, num_workers = 4, local_devices = ('/job:worker/task:1/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-1]: I0211 23:10:16.669065 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24108', 'localhost:24107', 'localhost:24106', 'localhost:24105']}, 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]: I0211 23:10:16.691508 281472912028704 mirrored_strategy.py:423] Using MirroredStrategy with devices ('/job:worker/task:0/device:CPU:0',) [worker-0]: INFO:tensorflow:Check health not enabled. [worker-0]: I0211 23:10:16.692234 281472912028704 collective_all_reduce_strategy.py:574] Check health not enabled. [worker-0]: INFO:tensorflow:MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24108', 'localhost:24107', 'localhost:24106', 'localhost:24105']}, task_type = 'worker', task_id = 0, num_workers = 4, local_devices = ('/job:worker/task:0/device:CPU:0',), communication = CommunicationImplementation.AUTO [worker-0]: I0211 23:10:16.692484 281472912028704 collective_all_reduce_strategy.py:576] MultiWorkerMirroredStrategy with cluster_spec = {'worker': ['localhost:24108', 'localhost:24107', 'localhost:24106', 'localhost:24105']}, 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]: I0211 23:10:16.768679 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-1]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for peer's signal. [worker-1]: I0211 23:10:16.776435 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: I0211 23:10:16.776524 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-3]: INFO:tensorflow:Start watcher for local signal. [worker-3]: I0211 23:10:16.777393 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-3]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-3]: I0211 23:10:16.777660 281472912028704 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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: W0211 23:10:16.778038 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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-0]: INFO:tensorflow:Start watcher for peer's signal. [worker-3]: I0211 23:10:16.778232 281472912028704 failure_handler_test.py:197] Start training at 0 [worker-0]: I0211 23:10:16.780332 281472912028704 failure_handling.py:634] Start watcher for peer's signal. [worker-0]: INFO:tensorflow:Start watcher for local signal. [worker-0]: I0211 23:10:16.781234 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-0]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-0]: I0211 23:10:16.781525 281472912028704 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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: W0211 23:10:16.781922 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: I0211 23:10:16.782119 281472912028704 failure_handler_test.py:197] Start training at 0 [worker-2]: INFO:tensorflow:Start watcher for local signal. [worker-2]: I0211 23:10:16.785831 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-2]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-2]: I0211 23:10:16.786270 281472912028704 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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: W0211 23:10:16.786677 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: I0211 23:10:16.786879 281472912028704 failure_handler_test.py:197] Start training at 0 [worker-1]: INFO:tensorflow:Start watcher for local signal. [worker-1]: I0211 23:10:16.795897 281472912028704 failure_handling.py:674] Start watcher for local signal. [worker-1]: INFO:tensorflow:PreemptionCheckpointHandler initialized or restored. [worker-1]: I0211 23:10:16.796339 281472912028704 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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: W0211 23:10:16.796750 281472912028704 deprecation.py:50] From /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/distribute/failure_handling/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py:198: 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]: I0211 23:10:16.796953 281472912028704 failure_handler_test.py:197] 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]: I0211 23:10:17.113889 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.157346 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.173767 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.275848 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.358171 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.376402 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.386152 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.395191 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.487428 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.505325 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.505283 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.523844 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.607729 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:17.607767 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.624083 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.607770 281472912028704 cross_device_ops.py:1154] 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-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:17.687566 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:17.687738 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:17.687895 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.710584 281472912028704 cross_device_ops.py:1154] 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 0xffff80693a60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. [worker-3]: WARNING:tensorflow:5 out of the last 5 calls to .wrapped_fn at 0xffff806d91c0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:17.775906 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff80693a60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff80694cc0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:17.781981 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff80694cc0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff80693a60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:17.776457 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff80693a60> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:17.775554 281472912028704 polymorphic_function.py:157] 5 out of the last 5 calls to .wrapped_fn at 0xffff806d91c0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: I0211 23:10:17.800793 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.805314 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.820042 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.867536 281472912028704 cross_device_ops.py:1154] 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 0xffff806d8400> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:17.926353 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff806d8400> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff806932e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:17.933318 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff806932e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff806913a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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 0xffff80695580> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:17.933197 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff80695580> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: W0211 23:10:17.933020 281472912028704 polymorphic_function.py:157] 6 out of the last 6 calls to .wrapped_fn at 0xffff806913a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), 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]: I0211 23:10:17.943587 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.944217 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.950657 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:17.980365 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.059592 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.066004 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.080653 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.080542 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.145667 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:18.145333 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.156082 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.260396 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.325465 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.325114 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.338413 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.356532 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.418411 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.426053 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.440299 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.460147 281472912028704 cross_device_ops.py:1154] 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-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]: I0211 23:10:18.525504 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:18.526836 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:18.529619 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:18.551936 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:18.673272 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.652640 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:18.646815 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:18.652459 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:18.737482 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:18.736306 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.740148 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:18.740439 281472912028704 cross_device_ops.py:1154] 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]: 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]: I0211 23:10:18.805915 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:18.807026 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:18.806723 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:18.806977 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 0 finished [worker-3]: INFO:tensorflow:epoch 0 finished [worker-1]: INFO:tensorflow:epoch 0 finished [worker-2]: INFO:tensorflow:epoch 0 finished [worker-3]: I0211 23:10:18.908069 281472912028704 failure_handler_test.py:195] epoch 0 finished [worker-0]: I0211 23:10:18.907997 281472912028704 failure_handler_test.py:195] epoch 0 finished [worker-2]: I0211 23:10:18.908409 281472912028704 failure_handler_test.py:195] epoch 0 finished [worker-1]: I0211 23:10:18.908337 281472912028704 failure_handler_test.py:195] 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]: I0211 23:10:18.934026 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.953946 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:18.950417 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:18.971421 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.044950 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.049830 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.050391 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.051285 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.137543 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.139245 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:19.139576 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.140728 281472912028704 cross_device_ops.py:1154] 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 INFO:tensorflow:sending sigterm [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 I0211 23:10:19.456264 281473703179296 failure_handler_test.py:302] sending sigterm [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]: I0211 23:10:19.198923 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:19.200075 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.200219 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:19.257988 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:19.259481 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:19.200390 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:19.259178 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.258842 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.318839 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.318856 281472912028704 cross_device_ops.py:1154] 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 [ FAILED ] PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker [worker-2]: I0211 23:10:19.318944 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.378729 281472912028704 cross_device_ops.py:1154] 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 INFO:tensorflow:time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker): 17.2s [worker-3]: I0211 23:10:19.319257 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:19.378201 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 I0211 23:10:33.442701 281473703179296 test_util.py:2620] time(__main__.PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker): 17.2s ====================================================================== [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 ERROR: test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker (__main__.PreemptionCheckpointTest) PreemptionCheckpointTest.test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker test_preemption_checkpointing_test_apiwrappingtrain_True_inputarg_manager_strategyoption_MWMSmultiworker(api_wrapping_train=True, input_arg='manager', strategy_option='MWMS_multi_worker')[worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 ---------------------------------------------------------------------- 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/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/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/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/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/failure_handler_test.runfiles/org_tensorflow/tensorflow/python/distribute/failure_handling/failure_handler_test.py", line 304, in test_preemption_checkpointing os.kill(mpr.get_process_id('worker', killed_worker), signal.SIGTERM) ProcessLookupError: [Errno 3] No such process ---------------------------------------------------------------------- [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]: I0211 23:10:19.435712 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 Ran 4 tests in 48.721s FAILED (errors=1) [worker-1]: I0211 23:10:19.378116 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.377905 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.436006 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:19.494777 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.435613 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:19.435935 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:19.495015 281472912028704 cross_device_ops.py:1154] 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-0]: I0211 23:10:19.556730 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.494658 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.495540 281472912028704 cross_device_ops.py:1154] 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-2]: I0211 23:10:19.551950 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.613073 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:19.551872 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.552544 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:19.613065 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:19.670613 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:19.613993 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.613994 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:19.671392 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:19.729669 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:19.670741 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.671239 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:19.728945 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:19.788075 281472912028704 cross_device_ops.py:1154] 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-3]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:19.846541 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:19.728947 281472912028704 cross_device_ops.py:1154] 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:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.729668 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:19.895977 281472912028704 failure_handler_test.py:195] 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-1]: I0211 23:10:19.787549 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:19.906237 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.788073 281472912028704 cross_device_ops.py:1154] 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]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:19.846640 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.845847 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:19.963419 281472912028704 cross_device_ops.py:1154] 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-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:19.896116 281472912028704 failure_handler_test.py:195] epoch 1 finished [worker-3]: I0211 23:10:19.895828 281472912028704 failure_handler_test.py:195] epoch 1 finished [worker-0]: I0211 23:10:20.019545 281472912028704 cross_device_ops.py:1154] 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 = 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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]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:19.963423 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:19.964066 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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= 1 [worker-2]: I0211 23:10:19.787575 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:20.020505 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:20.197161 281472912028704 cross_device_ops.py:1154] 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, 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CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:20.255267 281472912028704 cross_device_ops.py:1154] 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: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-1]: I0211 23:10:20.135854 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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23:10:20.255125 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:20.708991 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-3]: I0211 23:10:20.537471 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:20.312749 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = 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= 1 [worker-3]: I0211 23:10:22.005616 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:22.061454 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:22.118418 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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= 1 [worker-2]: I0211 23:10:22.007661 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:22.175876 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:20.941873 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:22.063206 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, 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= 1 [worker-2]: I0211 23:10:22.232841 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:21.109498 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:22.287531 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, 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finished [worker-1]: I0211 23:10:22.174728 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:22.454447 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:23.278403 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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:Training finished. [worker-1]: I0211 23:10:22.445728 281472912028704 failure_handler_test.py:195] epoch 4 finished [worker-0]: INFO:tensorflow:Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:23.549273 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.899605 281472912028704 failure_handler_test.py:245] Training 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-1]: I0211 23:10:22.453824 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:22.784149 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-2]: I0211 23:10:23.602162 281472912028704 cross_device_ops.py:1154] 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 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[worker-0]: I0211 23:10:24.148776 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.900334 281472912028704 failure_handler_test.py:245] Training finished. 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281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:24.261648 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.038614 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:24.317402 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:epoch 6 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]: I0211 23:10:24.086612 281472912028704 failure_handler_test.py:195] epoch 6 finished [worker-0]: I0211 23:10:24.372351 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.094160 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: I0211 23:10:24.426012 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.480117 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:24.147579 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.531644 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:24.204402 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.583530 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:24.260286 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.635896 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:24.315861 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.687330 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:24.371392 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.741432 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:24.425152 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.794925 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:24.479547 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.851948 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: I0211 23:10:24.531799 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:epoch 7 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-0]: I0211 23:10:24.899148 281472912028704 failure_handler_test.py:195] epoch 7 finished [worker-1]: I0211 23:10:24.583741 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-0]: INFO:tensorflow:Training 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-0]: I0211 23:10:24.900475 281472912028704 failure_handler_test.py:245] Training finished. [worker-1]: I0211 23:10:24.635796 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.687412 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.740592 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.794614 281472912028704 cross_device_ops.py:1154] 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]: I0211 23:10:24.851156 281472912028704 cross_device_ops.py:1154] Collective all_reduce tensors: 1 all_reduces, num_devices = 1, group_size = 4, implementation = CommunicationImplementation.AUTO, num_packs = 1 [worker-1]: INFO:tensorflow:epoch 7 finished [worker-1]: I0211 23:10:24.899221 281472912028704 failure_handler_test.py:195] epoch 7 finished [worker-1]: INFO:tensorflow:Training finished. [worker-1]: I0211 23:10:24.900212 281472912028704 failure_handler_test.py:245] Training finished. ================================================================================ //tensorflow/c:c_api_experimental_test PASSED in 31.0s //tensorflow/c:c_api_function_test PASSED in 33.1s //tensorflow/c:c_api_test_cpu PASSED in 36.1s //tensorflow/c:c_test PASSED in 32.3s //tensorflow/c:env_test_cpu PASSED in 24.8s //tensorflow/c:kernels_test_cpu PASSED in 36.3s //tensorflow/c:ops_test PASSED in 26.1s //tensorflow/c:tf_status_helper_test PASSED in 0.1s //tensorflow/c:while_loop_test PASSED in 33.5s //tensorflow/c/eager:c_api_cluster_test_cpu PASSED in 30.6s //tensorflow/c/eager:c_api_remote_function_test_cpu PASSED in 31.9s //tensorflow/c/eager:c_api_remote_test_cpu PASSED in 34.4s //tensorflow/c/eager:c_api_test_cpu PASSED in 34.5s //tensorflow/c/eager:custom_device_test PASSED in 33.0s //tensorflow/c/eager:dlpack_test_cpu PASSED in 26.3s //tensorflow/c/eager/parallel_device:parallel_device_lib_test PASSED in 32.0s //tensorflow/c/eager/parallel_device:parallel_device_remote_test PASSED in 32.2s //tensorflow/c/eager/parallel_device:parallel_device_test PASSED in 31.9s //tensorflow/c/experimental/filesystem/plugins/gcs:expiring_lru_cache_test PASSED in 0.1s //tensorflow/c/experimental/filesystem/plugins/gcs:ram_file_block_cache_test PASSED in 2.2s //tensorflow/c/experimental/grappler:grappler_test PASSED in 25.2s //tensorflow/c/experimental/next_pluggable_device:tensor_pjrt_buffer_util_test PASSED in 5.1s //tensorflow/c/experimental/ops/gen/common:case_format_test PASSED in 0.4s //tensorflow/c/experimental/ops/gen/cpp:cpp_generator_test PASSED in 0.5s //tensorflow/c/experimental/ops/gen/cpp/renderers:renderer_test PASSED in 1.1s //tensorflow/c/experimental/saved_model/core:constant_loading_test PASSED in 13.5s //tensorflow/c/experimental/saved_model/core:object_graph_traversal_test PASSED in 11.7s //tensorflow/c/experimental/saved_model/core:saved_variable_loading_test PASSED in 14.4s //tensorflow/c/experimental/saved_model/core:signature_flattening_test PASSED in 11.5s //tensorflow/c/experimental/saved_model/core:tf_concrete_function_loading_test PASSED in 12.7s //tensorflow/c/experimental/saved_model/core/ops:restore_ops_test PASSED in 14.1s //tensorflow/c/experimental/saved_model/core/ops:variable_ops_test PASSED in 15.1s //tensorflow/c/experimental/saved_model/internal:saved_model_api_test PASSED in 33.7s //tensorflow/c/experimental/stream_executor:stream_executor_test PASSED in 0.1s //tensorflow/c/kernels:bitcast_op_test PASSED in 0.5s //tensorflow/c/kernels:summary_op_benchmark_test PASSED in 0.5s //tensorflow/c/kernels:summary_op_test PASSED in 2.0s //tensorflow/c/kernels:tensor_shape_utils_test PASSED in 0.1s //tensorflow/cc:cc_op_gen_test PASSED in 0.3s //tensorflow/cc:client_client_session_test PASSED in 1.7s //tensorflow/cc:coordinator_test PASSED in 4.6s //tensorflow/cc:framework_cc_ops_test PASSED in 1.4s //tensorflow/cc:framework_gradient_checker_test PASSED in 1.7s //tensorflow/cc:framework_gradients_test PASSED in 3.3s //tensorflow/cc:framework_scope_test PASSED in 0.4s //tensorflow/cc:framework_while_gradients_test PASSED in 1.8s //tensorflow/cc:gradients_array_grad_test PASSED in 4.4s //tensorflow/cc:gradients_data_flow_grad_test PASSED in 1.4s //tensorflow/cc:gradients_functional_grad_test PASSED in 1.5s //tensorflow/cc:gradients_image_grad_test PASSED in 4.5s //tensorflow/cc:gradients_linalg_grad_test PASSED in 1.6s //tensorflow/cc:gradients_manip_grad_test PASSED in 1.5s //tensorflow/cc:gradients_math_grad_test PASSED in 4.6s //tensorflow/cc:gradients_nn_grad_test PASSED in 2.8s //tensorflow/cc:gradients_resource_variable_grad_test PASSED in 1.4s //tensorflow/cc:ops_const_op_test PASSED in 0.4s //tensorflow/cc:ops_while_loop_test PASSED in 1.5s //tensorflow/cc:queue_runner_test PASSED in 12.2s //tensorflow/cc/experimental/base/tests:tensor_test PASSED in 0.1s //tensorflow/cc/experimental/base/tests:tensorhandle_test PASSED in 26.1s //tensorflow/cc/experimental/libexport:load_test PASSED in 0.1s //tensorflow/cc/experimental/libexport:save_test PASSED in 0.1s //tensorflow/cc/experimental/libtf:libtf_module_test PASSED in 27.6s //tensorflow/cc/experimental/libtf:libtf_object_test PASSED in 0.1s //tensorflow/cc/experimental/libtf:libtf_perf_test PASSED in 0.1s //tensorflow/cc/experimental/libtf:libtf_runtime_test PASSED in 33.1s //tensorflow/cc/experimental/libtf:libtf_transform_test PASSED in 26.3s //tensorflow/cc/experimental/libtf:libtf_value_test PASSED in 0.1s //tensorflow/cc/experimental/libtf:libtf_visit_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:iostream_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:none_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:scalars_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:string_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:tensor_spec_test PASSED in 0.1s //tensorflow/cc/saved_model:bundle_v2_test PASSED in 0.5s //tensorflow/cc/saved_model:fingerprinting_chunked_test PASSED in 0.1s //tensorflow/cc/saved_model:fingerprinting_test PASSED in 0.8s //tensorflow/cc/saved_model:fingerprinting_utils_test PASSED in 0.2s //tensorflow/cc/saved_model:metrics_test PASSED in 0.1s //tensorflow/cc/saved_model:reader_test PASSED in 0.1s //tensorflow/cc/saved_model:saved_model_bundle_lite_test PASSED in 6.8s //tensorflow/cc/saved_model:saved_model_bundle_test PASSED in 5.0s //tensorflow/cc/saved_model:util_test PASSED in 0.1s //tensorflow/cc/saved_model/experimental/tests:saved_model_api_test PASSED in 28.3s //tensorflow/cc/tools:freeze_saved_model_test PASSED in 1.5s //tensorflow/compiler/aot:codegen_test PASSED in 28.1s //tensorflow/compiler/jit:compilability_check_util_test PASSED in 20.2s //tensorflow/compiler/jit:deadness_analysis_test PASSED in 7.8s //tensorflow/compiler/jit:device_compilation_cache_test PASSED in 4.3s //tensorflow/compiler/jit:device_compilation_cluster_signature_test PASSED in 4.4s //tensorflow/compiler/jit:device_compilation_profiler_test PASSED in 19.1s //tensorflow/compiler/jit:device_compiler_client_test PASSED in 4.3s //tensorflow/compiler/jit:device_compiler_disable_test PASSED in 18.9s //tensorflow/compiler/jit:device_executable_persistor_test PASSED in 23.0s //tensorflow/compiler/jit:device_util_test PASSED in 4.9s //tensorflow/compiler/jit:encapsulate_util_test PASSED in 0.7s //tensorflow/compiler/jit:node_matchers_test PASSED in 1.2s //tensorflow/compiler/jit:resource_operation_safety_analysis_test PASSED in 8.1s //tensorflow/compiler/jit:shape_inference_test PASSED in 0.4s //tensorflow/compiler/jit:xla_activity_listener_test PASSED in 21.7s //tensorflow/compiler/jit:xla_cluster_util_test PASSED in 8.0s //tensorflow/compiler/jit:xla_compile_util_test PASSED in 4.7s //tensorflow/compiler/jit:xla_kernel_creator_test PASSED in 7.9s //tensorflow/compiler/jit:xla_launch_util_test PASSED in 23.5s //tensorflow/compiler/jit/tests:auto_clustering_test PASSED in 22.7s //tensorflow/compiler/mlir:mlir_graph_optimization_pass_test PASSED in 13.6s //tensorflow/compiler/mlir:register_common_dialects_test PASSED in 16.6s //tensorflow/compiler/mlir/lite:lstm_utils_test PASSED in 0.6s //tensorflow/compiler/mlir/lite:offset_buffer_test PASSED in 0.1s //tensorflow/compiler/mlir/lite:perception_ops_utils_test PASSED in 0.6s //tensorflow/compiler/mlir/lite:size_utils_test PASSED in 0.1s //tensorflow/compiler/mlir/lite:tftext_utils_test PASSED in 0.7s //tensorflow/compiler/mlir/lite/experimental/remat:rematerializer_test PASSED in 0.8s //tensorflow/compiler/mlir/lite/experimental/tac:execution_metadata_exporter_test PASSED in 7.2s //tensorflow/compiler/mlir/lite/experimental/tac/tests:compute-cost.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/lite/experimental/tac/tests:device-transform-gpu.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/lite/experimental/tac/tests:device-transform-nnapi.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/lite/experimental/tac/tests:fold-constants-to-subgraph.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/lite/experimental/tac/tests:get-alternative-subgraph.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/lite/experimental/tac/tests:get-op-cost.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/lite/experimental/tac/tests:pick-subgraphs.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/lite/experimental/tac/tests:raise-target-subgraphs.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/lite/experimental/tac/tests:tac-filter.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/lite/experimental/tac/tests:target-annotation.mlir.test PASSED in 0.7s 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0.6s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-pipeline-filtered.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-pipeline.mlir.test PASSED in 4.9s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-stateful.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tosa/tests:verify_fully_converted.mlir.test PASSED in 0.6s //tensorflow/compiler/tests:adadelta_test_cpu PASSED in 23.3s //tensorflow/compiler/tests:adagrad_da_test_cpu PASSED in 20.0s //tensorflow/compiler/tests:adagrad_test_cpu PASSED in 31.5s //tensorflow/compiler/tests:adam_test_cpu PASSED in 33.8s //tensorflow/compiler/tests:add_n_test_cpu PASSED in 28.5s //tensorflow/compiler/tests:argminmax_test_cpu PASSED in 27.5s //tensorflow/compiler/tests:argminmax_test_cpu_mlir_bridge_test PASSED in 37.1s //tensorflow/compiler/tests:async_comp_test_cpu PASSED in 10.3s //tensorflow/compiler/tests:bincount_op_test_cpu PASSED in 22.3s //tensorflow/compiler/tests:bucketize_op_test_cpu PASSED in 22.1s //tensorflow/compiler/tests:bucketize_op_test_cpu_mlir_bridge_test PASSED in 22.3s //tensorflow/compiler/tests:case_test_cpu PASSED in 12.0s //tensorflow/compiler/tests:cast_ops_test_cpu PASSED in 11.1s //tensorflow/compiler/tests:cast_ops_test_cpu_mlir_bridge_test PASSED in 25.4s //tensorflow/compiler/tests:categorical_op_test_cpu PASSED in 28.0s //tensorflow/compiler/tests:categorical_op_test_cpu_mlir_bridge_test PASSED in 29.2s //tensorflow/compiler/tests:cholesky_op_test_cpu PASSED in 34.4s //tensorflow/compiler/tests:cholesky_op_test_cpu_mlir_bridge_test PASSED in 34.1s //tensorflow/compiler/tests:clustering_test_cpu PASSED in 24.3s //tensorflow/compiler/tests:clustering_test_cpu_mlir_bridge_test PASSED in 23.5s //tensorflow/compiler/tests:concat_ops_test_cpu PASSED in 13.2s //tensorflow/compiler/tests:concat_ops_test_cpu_mlir_bridge_test PASSED in 13.4s //tensorflow/compiler/tests:cond_test_cpu PASSED in 12.5s //tensorflow/compiler/tests:const_arg_test_cpu PASSED in 10.8s //tensorflow/compiler/tests:const_test_cpu PASSED in 10.2s //tensorflow/compiler/tests:data_format_ops_test_cpu PASSED in 16.6s //tensorflow/compiler/tests:data_format_ops_test_cpu_mlir_bridge_test PASSED in 32.2s //tensorflow/compiler/tests:dense_layer_test_cpu PASSED in 18.9s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu PASSED in 14.2s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu_mlir_bridge_test PASSED in 15.2s //tensorflow/compiler/tests:dynamic_stitch_test_cpu PASSED in 11.4s //tensorflow/compiler/tests:dynamic_stitch_test_cpu_mlir_bridge_test PASSED in 10.9s //tensorflow/compiler/tests:eager_test_cpu PASSED in 28.0s //tensorflow/compiler/tests:einsum_op_test_cpu PASSED in 14.2s //tensorflow/compiler/tests:einsum_op_test_cpu_mlir_bridge_test PASSED in 11.1s //tensorflow/compiler/tests:ensure_shape_op_test_cpu PASSED in 10.9s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu PASSED in 11.3s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu_mlir_bridge_test PASSED in 12.9s //tensorflow/compiler/tests:fake_quant_ops_test_cpu PASSED in 17.3s //tensorflow/compiler/tests:fake_quant_ops_test_cpu_mlir_bridge_test PASSED in 21.6s //tensorflow/compiler/tests:fifo_queue_test_cpu PASSED in 12.1s //tensorflow/compiler/tests:fifo_queue_test_cpu_mlir_bridge_test PASSED in 11.3s //tensorflow/compiler/tests:ftrl_ops_test_cpu PASSED in 13.5s //tensorflow/compiler/tests:ftrl_ops_test_cpu_mlir_bridge_test PASSED in 15.5s //tensorflow/compiler/tests:function_test_cpu PASSED in 10.8s //tensorflow/compiler/tests:function_test_cpu_mlir_bridge_test PASSED in 11.9s //tensorflow/compiler/tests:gather_nd_op_test_cpu PASSED in 12.4s //tensorflow/compiler/tests:gather_nd_op_test_cpu_mlir_bridge_test PASSED in 13.8s //tensorflow/compiler/tests:gather_test_cpu PASSED in 48.1s //tensorflow/compiler/tests:gather_test_cpu_mlir_bridge_test PASSED in 86.6s //tensorflow/compiler/tests:image_ops_jit_compile_test_cpu PASSED in 14.9s //tensorflow/compiler/tests:jit_test_cpu PASSED in 49.4s //tensorflow/compiler/tests:listdiff_op_test_cpu PASSED in 17.0s //tensorflow/compiler/tests:listdiff_op_test_cpu_mlir_bridge_test PASSED in 17.2s //tensorflow/compiler/tests:lrn_ops_test_cpu PASSED in 14.5s //tensorflow/compiler/tests:lrn_ops_test_cpu_mlir_bridge_test PASSED in 10.7s //tensorflow/compiler/tests:lstm_test_cpu PASSED in 30.1s //tensorflow/compiler/tests:manip_ops_test_cpu PASSED in 14.6s //tensorflow/compiler/tests:manip_ops_test_cpu_mlir_bridge_test PASSED in 30.2s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu PASSED in 22.5s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu_mlir_bridge_test PASSED in 24.9s //tensorflow/compiler/tests:matrix_solve_op_test_cpu PASSED in 13.6s //tensorflow/compiler/tests:matrix_solve_op_test_cpu_mlir_bridge_test PASSED in 13.6s //tensorflow/compiler/tests:momentum_test_cpu PASSED in 15.7s //tensorflow/compiler/tests:nary_ops_test_cpu PASSED in 16.4s //tensorflow/compiler/tests:nary_ops_test_cpu_mlir_bridge_test PASSED in 14.4s //tensorflow/compiler/tests:nullary_ops_test_cpu PASSED in 11.8s //tensorflow/compiler/tests:nullary_ops_test_cpu_mlir_bridge_test PASSED in 11.3s //tensorflow/compiler/tests:placeholder_test_cpu PASSED in 13.3s //tensorflow/compiler/tests:placeholder_test_cpu_mlir_bridge_test PASSED in 11.0s //tensorflow/compiler/tests:proximal_adagrad_test_cpu PASSED in 12.8s //tensorflow/compiler/tests:proximal_gradient_descent_test_cpu PASSED in 12.3s //tensorflow/compiler/tests:quantized_ops_test_cpu PASSED in 13.1s //tensorflow/compiler/tests:reduce_window_test_cpu PASSED in 10.8s //tensorflow/compiler/tests:reduce_window_test_cpu_mlir_bridge_test PASSED in 12.0s //tensorflow/compiler/tests:repeat_op_test_cpu PASSED in 13.7s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 12.3s //tensorflow/compiler/tests:reshape_op_test_cpu PASSED in 13.6s //tensorflow/compiler/tests:reshape_op_test_cpu_mlir_bridge_test PASSED in 12.2s //tensorflow/compiler/tests:reverse_ops_test_cpu PASSED in 14.9s //tensorflow/compiler/tests:reverse_ops_test_cpu_mlir_bridge_test PASSED in 18.8s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu PASSED in 12.2s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu_mlir_bridge_test PASSED in 12.8s //tensorflow/compiler/tests:rmsprop_test_cpu PASSED in 32.1s //tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 27.7s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 35.2s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 14.5s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 14.4s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 30.5s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 35.0s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 21.1s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 21.2s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 22.6s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 31.5s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu PASSED in 11.6s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu_mlir_bridge_test PASSED in 12.5s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 35.5s //tensorflow/compiler/tests:tensor_float_32_test_cpu PASSED in 12.3s //tensorflow/compiler/tests:tensor_float_32_test_cpu_mlir_bridge_test PASSED in 16.6s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 13.1s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 20.1s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 21.3s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 18.1s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 17.9s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 11.8s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 35.4s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 17.1s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 14.2s //tensorflow/compiler/tests:while_test_cpu PASSED in 13.2s //tensorflow/compiler/tests:xla_call_module_no_platform_check_test_cpu PASSED in 37.7s //tensorflow/compiler/tests:xla_call_module_no_shape_assertions_check_test_cpu PASSED in 13.7s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 15.4s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 11.5s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 10.5s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 14.5s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 22.7s //tensorflow/compiler/tests:xla_dump_to_test_cpu PASSED in 10.8s //tensorflow/compiler/tests:xla_dump_to_test_cpu_mlir_bridge_test PASSED in 11.0s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 43.9s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 45.7s //tensorflow/compiler/tests:xla_test_test PASSED in 12.7s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 5.5s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.1s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 0.8s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 0.9s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 22.4s //tensorflow/compiler/tf2xla:graph_compiler_test PASSED in 4.7s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 0.4s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 5.0s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 1.3s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 0.6s //tensorflow/compiler/tf2xla:tf2xla_opset_test PASSED in 9.2s //tensorflow/compiler/tf2xla:tf2xla_test PASSED in 16.3s //tensorflow/compiler/tf2xla:tf2xla_util_test PASSED in 0.8s //tensorflow/compiler/tf2xla:type_util_test PASSED in 0.4s //tensorflow/compiler/tf2xla:xla_compiler_test PASSED in 16.6s //tensorflow/compiler/tf2xla:xla_jit_compiled_cpu_function_test PASSED in 15.7s //tensorflow/compiler/tf2xla:xla_op_registry_test PASSED in 5.4s //tensorflow/compiler/tf2xla/kernels:rng_converter_utils_test PASSED in 1.4s //tensorflow/core:@local_tsl__tsl_lib_core_legacy_lib_core_all_tests PASSED in 0.3s //tensorflow/core:__tensorflow_core_lib_core_legacy_lib_core_all_tests PASSED in 5.8s //tensorflow/core:__tensorflow_core_lib_gtl_legacy_lib_gtl_tests PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_monitoring_cell_reader_test PASSED in 28.2s //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 0.1s //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 0.1s //tensorflow/core:__tensorflow_core_lib_strings_legacy_low_level_library_tests PASSED in 0.1s //tensorflow/core:__tensorflow_core_lib_wav_wav_io_test PASSED in 0.1s //tensorflow/core:__tensorflow_core_util_mkl_util_test_srcs PASSED in 0.1s //tensorflow/core:lib_strings_ordered_code_test PASSED in 1.4s //tensorflow/core:lib_strings_proto_serialization_test PASSED in 0.1s //tensorflow/core/api_def:api_test PASSED in 2.2s //tensorflow/core/api_def:update_api_def_test PASSED in 0.1s //tensorflow/core/common_runtime:all_to_all_test_cpu PASSED in 0.6s //tensorflow/core/common_runtime:arg_ret_placement_test PASSED in 0.5s //tensorflow/core/common_runtime:buf_rendezvous_test PASSED in 0.9s //tensorflow/core/common_runtime:collective_executor_mgr_test PASSED in 0.8s //tensorflow/core/common_runtime:collective_param_resolver_local_test PASSED in 4.4s //tensorflow/core/common_runtime:collective_rma_local_test PASSED in 0.8s //tensorflow/core/common_runtime:colocate_predecessor_trees_pass_test PASSED in 0.8s //tensorflow/core/common_runtime:composite_device_test PASSED in 0.5s //tensorflow/core/common_runtime:cost_measurement_registry_test PASSED in 2.1s //tensorflow/core/common_runtime:cost_util_test PASSED in 0.1s //tensorflow/core/common_runtime:device_mgr_test PASSED in 0.8s //tensorflow/core/common_runtime:device_propagation_test PASSED in 0.5s //tensorflow/core/common_runtime:device_resolver_local_test PASSED in 0.8s //tensorflow/core/common_runtime:device_set_test PASSED in 0.9s //tensorflow/core/common_runtime:direct_session_test_cpu PASSED in 1.6s //tensorflow/core/common_runtime:direct_session_with_debug_test PASSED in 1.9s //tensorflow/core/common_runtime:direct_session_with_tracking_alloc_test PASSED in 0.9s //tensorflow/core/common_runtime:dynamic_device_mgr_test PASSED in 0.9s //tensorflow/core/common_runtime:eval_const_tensor_test PASSED in 0.6s //tensorflow/core/common_runtime:executor_test PASSED in 1.4s //tensorflow/core/common_runtime:function_optimization_registration_test PASSED in 0.8s //tensorflow/core/common_runtime:function_optimization_registry_no_pass_test PASSED in 0.8s //tensorflow/core/common_runtime:function_optimization_registry_pass_failure_test PASSED in 0.8s //tensorflow/core/common_runtime:function_optimization_registry_test PASSED in 0.8s //tensorflow/core/common_runtime:function_threadpool_test PASSED in 0.7s //tensorflow/core/common_runtime:graph_constructor_test PASSED in 2.0s //tensorflow/core/common_runtime:graph_runner_test PASSED in 0.7s //tensorflow/core/common_runtime:hierarchical_tree_broadcaster_test_cpu PASSED in 2.7s //tensorflow/core/common_runtime:inline_function_utils_test PASSED in 0.5s //tensorflow/core/common_runtime:input_colocation_exemption_registry_test PASSED in 0.5s //tensorflow/core/common_runtime:int32_fulltype_test PASSED in 0.5s //tensorflow/core/common_runtime:isolate_placer_inspection_required_ops_pass_test PASSED in 0.8s //tensorflow/core/common_runtime:lower_case_op_test PASSED in 1.9s //tensorflow/core/common_runtime:lower_function_call_test PASSED in 1.7s //tensorflow/core/common_runtime:lower_functional_ops_test PASSED in 1.9s //tensorflow/core/common_runtime:lower_if_op_test PASSED in 1.7s //tensorflow/core/common_runtime:lower_while_op_test PASSED in 1.8s //tensorflow/core/common_runtime:mkl_cpu_allocator_test PASSED in 0.1s //tensorflow/core/common_runtime:mkl_threadpool_device_test PASSED in 0.1s //tensorflow/core/common_runtime:no_op_cost_measurement_test PASSED in 0.1s //tensorflow/core/common_runtime:null_request_cost_accessor_test PASSED in 0.1s //tensorflow/core/common_runtime:optimization_registry_test PASSED in 0.8s //tensorflow/core/common_runtime:optimize_cross_host_control_deps_test PASSED in 5.2s //tensorflow/core/common_runtime:optimize_function_graph_utils_test PASSED in 0.5s //tensorflow/core/common_runtime:partitioning_utils_test PASSED in 0.5s //tensorflow/core/common_runtime:pending_counts_test PASSED in 0.8s //tensorflow/core/common_runtime:permuter_test_cpu PASSED in 2.7s //tensorflow/core/common_runtime:placer_inspection_required_ops_utils_test PASSED in 0.9s //tensorflow/core/common_runtime:placer_test PASSED in 0.9s //tensorflow/core/common_runtime:process_function_library_runtime_test_cpu PASSED in 0.5s //tensorflow/core/common_runtime:process_util_test PASSED in 0.1s //tensorflow/core/common_runtime:quantize_training_test PASSED in 1.7s //tensorflow/core/common_runtime:rendezvous_util_test PASSED in 0.1s //tensorflow/core/common_runtime:replicate_constants_pass_test PASSED in 0.8s //tensorflow/core/common_runtime:replicate_per_replica_nodes_test PASSED in 0.5s //tensorflow/core/common_runtime:request_cost_accessor_registry_test PASSED in 1.8s //tensorflow/core/common_runtime:request_cost_test PASSED in 0.1s //tensorflow/core/common_runtime:ring_gatherer_test_cpu PASSED in 1.6s //tensorflow/core/common_runtime:ring_reducer_test_cpu PASSED in 4.4s //tensorflow/core/common_runtime:scoped_allocator_mgr_test PASSED in 4.2s //tensorflow/core/common_runtime:session_test PASSED in 0.8s //tensorflow/core/common_runtime:shape_refiner_test PASSED in 0.5s //tensorflow/core/common_runtime:single_threaded_executor_test PASSED in 0.6s //tensorflow/core/common_runtime:threadpool_device_test PASSED in 0.8s //tensorflow/core/common_runtime:type_inference_test PASSED in 1.6s //tensorflow/core/common_runtime/eager:attr_builder_test PASSED in 26.5s //tensorflow/core/common_runtime/eager:context_test PASSED in 12.4s //tensorflow/core/common_runtime/eager:custom_device_test PASSED in 10.1s //tensorflow/core/common_runtime/eager:eager_executor_test PASSED in 11.1s //tensorflow/core/common_runtime/eager:eager_op_rewrite_registry_test PASSED in 0.7s //tensorflow/core/common_runtime/eager:eager_operation_test PASSED in 11.1s //tensorflow/core/common_runtime/eager:execute_node_test PASSED in 10.9s //tensorflow/core/common_runtime/eager:execute_test PASSED in 23.4s //tensorflow/core/common_runtime/eager:kernel_and_device_test PASSED in 0.6s //tensorflow/core/common_runtime/eager:mkl_eager_op_rewrite_test PASSED in 10.8s //tensorflow/core/common_runtime/eager:placement_test PASSED in 10.1s //tensorflow/core/common_runtime/eager:placement_utils_test PASSED in 10.2s //tensorflow/core/common_runtime/eager:summary_optimizer_test PASSED in 0.1s //tensorflow/core/common_runtime/eager:tensor_handle_data_test PASSED in 10.8s //tensorflow/core/common_runtime/eager:tensor_handle_test PASSED in 11.0s //tensorflow/core/common_runtime/gpu:gpu_device_on_non_gpu_machine_test PASSED in 0.1s //tensorflow/core/common_runtime/gpu:gpu_serving_device_selector_test PASSED in 0.2s //tensorflow/core/common_runtime/next_pluggable_device:c_plugin_coordination_service_agent_test PASSED in 3.4s //tensorflow/core/common_runtime/next_pluggable_device/c:plugin_c_api_test PASSED in 29.0s //tensorflow/core/common_runtime/next_pluggable_device/c:tf_rendezvous_c_api_test PASSED in 0.1s //tensorflow/core/config:flags_py_test PASSED in 27.5s //tensorflow/core/config:flags_test PASSED in 0.1s //tensorflow/core/data:compression_utils_test PASSED in 1.6s //tensorflow/core/data:dataset_utils_test PASSED in 0.5s //tensorflow/core/data:hash_utils_test PASSED in 0.7s //tensorflow/core/data:metric_utils_test PASSED in 5.6s //tensorflow/core/data:name_utils_test PASSED in 0.1s //tensorflow/core/data:rewrite_utils_test PASSED in 0.5s 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max = 54.4s, min = 41.2s, avg = 47.8s, dev = 6.6s //tensorflow/python/data/kernel_tests:window_test PASSED in 44.5s Stats over 2 runs: max = 44.5s, min = 33.1s, avg = 38.8s, dev = 5.7s //tensorflow/python/kernel_tests/array_ops:scatter_nd_ops_test_cpu PASSED in 14.4s Stats over 2 runs: max = 14.4s, min = 8.7s, avg = 11.5s, dev = 2.8s //tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu PASSED in 18.3s Stats over 2 runs: max = 18.3s, min = 11.8s, avg = 15.1s, dev = 3.3s //tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu PASSED in 11.6s Stats over 2 runs: max = 11.6s, min = 7.2s, avg = 9.4s, dev = 2.2s //tensorflow/python/kernel_tests/nn_ops:atrous_conv2d_test_cpu PASSED in 34.3s Stats over 2 runs: max = 34.3s, min = 23.1s, avg = 28.7s, dev = 5.6s //tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu PASSED in 115.1s Stats over 2 runs: max = 115.1s, min = 48.3s, avg = 81.7s, dev = 33.4s 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21.2s, min = 8.2s, avg = 14.5s, dev = 5.3s //tensorflow/python/data/kernel_tests:unique_test PASSED in 18.8s Stats over 3 runs: max = 18.8s, min = 7.6s, avg = 13.4s, dev = 4.6s //tensorflow/python/distribute/coordinator:metric_utils_test PASSED in 25.6s Stats over 3 runs: max = 25.6s, min = 12.0s, avg = 19.1s, dev = 5.6s //tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu PASSED in 59.0s Stats over 3 runs: max = 59.0s, min = 24.2s, avg = 36.2s, dev = 16.2s //tensorflow/python/kernel_tests/array_ops:weights_broadcast_test PASSED in 11.9s Stats over 3 runs: max = 11.9s, min = 6.0s, avg = 8.1s, dev = 2.7s //tensorflow/python/kernel_tests/distributions:util_test_cpu PASSED in 17.0s Stats over 3 runs: max = 17.0s, min = 10.6s, avg = 12.9s, dev = 2.9s //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 581.5s Stats over 3 runs: max = 581.5s, min = 5.5s, avg = 199.6s, dev = 270.0s 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/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/mlir/quantization/tensorflow/debugging/mlir_dump_test/test_attempts/attempt_2.log //tensorflow/core/kernels:example_parsing_ops_test PASSED in 0.5s Stats over 4 runs: max = 0.5s, min = 0.5s, avg = 0.5s, dev = 0.0s //tensorflow/dtensor/python/tests:batchparallel_spmd_test_cpu PASSED in 24.9s Stats over 4 runs: max = 24.9s, min = 18.5s, avg = 21.0s, dev = 2.6s //tensorflow/dtensor/python/tests:conv_test_cpu PASSED in 32.2s Stats over 4 runs: max = 32.2s, min = 7.8s, avg = 17.4s, dev = 10.1s //tensorflow/dtensor/python/tests:sparse_test_cpu PASSED in 24.3s Stats over 4 runs: max = 24.3s, min = 6.9s, avg = 13.5s, dev = 6.6s //tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 37.5s Stats over 4 runs: max = 37.5s, min = 17.9s, avg = 28.1s, dev = 7.2s //tensorflow/python/data/experimental/kernel_tests:map_and_batch_test PASSED in 37.1s Stats over 4 runs: max = 37.1s, min = 23.3s, avg = 28.4s, dev = 5.7s //tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 24.7s Stats over 4 runs: max = 24.7s, min = 10.7s, avg = 18.5s, dev = 5.4s //tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test PASSED in 20.4s Stats over 4 runs: max = 20.4s, min = 6.8s, avg = 12.8s, dev = 5.0s //tensorflow/python/data/experimental/kernel_tests:sql_dataset_test PASSED in 33.0s Stats over 4 runs: max = 33.0s, min = 25.7s, avg = 30.5s, dev = 2.8s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 12.9s Stats over 4 runs: max = 12.9s, min = 4.5s, avg = 7.3s, dev = 3.3s //tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test PASSED in 13.8s Stats over 4 runs: max = 13.8s, min = 7.3s, avg = 11.7s, dev = 2.6s //tensorflow/python/data/kernel_tests:from_generator_test PASSED in 30.6s Stats over 4 runs: max = 30.6s, min = 10.4s, avg = 18.8s, dev = 7.5s //tensorflow/python/data/kernel_tests:group_by_window_test PASSED in 19.5s Stats over 4 runs: max = 19.5s, min = 9.2s, avg = 13.6s, dev = 3.9s //tensorflow/python/data/kernel_tests:ragged_batch_test PASSED in 28.5s Stats over 4 runs: max = 28.5s, min = 19.4s, avg = 23.4s, dev = 4.0s //tensorflow/python/data/kernel_tests:skip_test PASSED in 30.0s Stats over 4 runs: max = 30.0s, min = 14.7s, avg = 21.6s, dev = 6.8s //tensorflow/python/data/kernel_tests:take_test PASSED in 30.3s Stats over 4 runs: max = 30.3s, min = 20.1s, avg = 22.7s, dev = 4.4s //tensorflow/python/data/kernel_tests:take_while_test PASSED in 30.7s Stats over 4 runs: max = 30.7s, min = 23.5s, avg = 25.5s, dev = 3.0s //tensorflow/python/data/kernel_tests:text_line_dataset_test PASSED in 30.0s Stats over 4 runs: max = 30.0s, min = 18.1s, avg = 22.7s, dev = 4.7s //tensorflow/python/data/kernel_tests:zip_test PASSED in 18.2s Stats over 4 runs: max = 18.2s, min = 9.8s, avg = 12.2s, dev = 3.5s //tensorflow/python/debug/lib:dumping_callback_test_cpu PASSED in 28.3s Stats over 4 runs: max = 28.3s, min = 13.2s, avg = 22.7s, dev = 6.2s //tensorflow/python/distribute:cross_device_ops_test_cpu PASSED in 42.9s Stats over 4 runs: max = 42.9s, min = 24.1s, avg = 31.9s, dev = 8.1s //tensorflow/python/framework:convert_to_constants_test PASSED in 25.4s Stats over 4 runs: max = 25.4s, min = 11.7s, avg = 19.7s, dev = 5.0s //tensorflow/python/kernel_tests:collective_ops_test_cpu PASSED in 47.7s Stats over 4 runs: max = 47.7s, min = 29.0s, avg = 39.3s, dev = 6.7s //tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 16.3s Stats over 4 runs: max = 16.3s, min = 6.5s, avg = 11.3s, dev = 3.7s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 81.3s Stats over 4 runs: max = 81.3s, min = 20.1s, avg = 46.7s, dev = 25.1s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 30.3s Stats over 4 runs: max = 30.3s, min = 5.0s, avg = 16.6s, dev = 11.5s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 117.0s Stats over 4 runs: max = 117.0s, min = 13.1s, avg = 54.9s, dev = 40.4s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 71.4s Stats over 4 runs: max = 71.4s, min = 61.4s, avg = 66.0s, dev = 4.3s //tensorflow/python/kernel_tests/nn_ops:conv_ops_test_cpu PASSED in 46.4s Stats over 4 runs: max = 46.4s, min = 34.9s, avg = 39.4s, dev = 4.3s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 127.9s Stats over 4 runs: max = 127.9s, min = 8.0s, avg = 61.4s, dev = 53.3s //tensorflow/python/kernel_tests/signal:window_ops_test_cpu PASSED in 22.3s Stats over 4 runs: max = 22.3s, min = 21.5s, avg = 21.9s, dev = 0.3s //tensorflow/python/ops:nn_batchnorm_test_cpu PASSED in 30.9s Stats over 4 runs: max = 30.9s, min = 15.0s, avg = 20.7s, dev = 6.1s //tensorflow/python/ops:nn_fused_batchnorm_d9m_test_cpu PASSED in 26.4s Stats over 4 runs: max = 26.4s, min = 17.2s, avg = 20.9s, dev = 3.8s //tensorflow/python/ops/ragged:ragged_gather_op_test PASSED in 78.1s Stats over 4 runs: max = 78.1s, min = 20.5s, avg = 44.1s, dev = 21.2s //tensorflow/python/ops/ragged:ragged_getitem_test PASSED in 66.7s Stats over 4 runs: max = 66.7s, min = 42.5s, avg = 55.6s, dev = 11.1s //tensorflow/compiler/tests:conv3d_test_cpu PASSED in 18.3s Stats over 5 runs: max = 18.3s, min = 6.6s, avg = 10.5s, dev = 4.5s //tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test PASSED in 17.4s Stats over 5 runs: max = 17.4s, min = 6.7s, avg = 10.4s, dev = 4.1s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu PASSED in 20.7s Stats over 5 runs: max = 20.7s, min = 7.5s, avg = 15.3s, dev = 5.9s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test PASSED in 21.4s Stats over 5 runs: max = 21.4s, min = 7.0s, avg = 12.0s, dev = 5.1s //tensorflow/compiler/tests:fused_batchnorm_test_cpu PASSED in 27.6s Stats over 5 runs: max = 27.6s, min = 4.7s, avg = 10.8s, dev = 8.5s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 35.9s Stats over 5 runs: max = 35.9s, min = 4.4s, avg = 10.9s, dev = 12.5s //tensorflow/compiler/tests:reduce_ops_test_cpu PASSED in 13.8s Stats over 5 runs: max = 13.8s, min = 7.5s, avg = 9.8s, dev = 2.5s //tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test PASSED in 33.1s Stats over 5 runs: max = 33.1s, min = 10.4s, avg = 16.0s, dev = 8.6s //tensorflow/compiler/tests:special_math_test_cpu PASSED in 125.6s Stats over 5 runs: max = 125.6s, min = 19.4s, avg = 54.3s, dev = 38.5s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 123.4s Stats over 5 runs: max = 123.4s, min = 18.7s, avg = 55.6s, dev = 38.0s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 2.7s Stats over 5 runs: max = 2.7s, min = 1.4s, avg = 1.9s, dev = 0.5s //tensorflow/dtensor/python/tests:layout_propagation_test_cpu PASSED in 40.1s Stats over 5 runs: max = 40.1s, min = 6.3s, avg = 13.7s, dev = 13.2s //tensorflow/dtensor/python/tests:multi_mesh_test_cpu PASSED in 13.4s Stats over 5 runs: max = 13.4s, min = 5.6s, avg = 8.1s, dev = 2.7s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 20.4s Stats over 5 runs: max = 20.4s, min = 6.7s, avg = 9.9s, dev = 5.3s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 19.0s Stats over 5 runs: max = 19.0s, min = 7.4s, avg = 14.0s, dev = 4.2s //tensorflow/python/distribute:vars_test_2gpu PASSED in 21.9s Stats over 5 runs: max = 21.9s, min = 15.3s, avg = 19.0s, dev = 2.6s //tensorflow/python/distribute:vars_test_cpu PASSED in 24.2s Stats over 5 runs: max = 24.2s, min = 13.3s, avg = 17.4s, dev = 3.6s //tensorflow/python/eager:device_placement_test_cpu PASSED in 11.7s Stats over 5 runs: max = 11.7s, min = 5.9s, avg = 7.2s, dev = 2.3s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 127.4s Stats over 5 runs: max = 127.4s, min = 12.6s, avg = 54.5s, dev = 39.5s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 15.6s Stats over 5 runs: max = 15.6s, min = 7.5s, avg = 13.3s, dev = 2.9s //tensorflow/python/grappler:cluster_test_cpu PASSED in 10.6s Stats over 5 runs: max = 10.6s, min = 4.3s, avg = 6.3s, dev = 2.3s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 75.7s Stats over 5 runs: max = 75.7s, min = 52.2s, avg = 63.2s, dev = 8.9s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 70.2s Stats over 5 runs: max = 70.2s, min = 58.0s, avg = 62.0s, dev = 4.5s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 124.9s Stats over 5 runs: max = 124.9s, min = 115.5s, avg = 119.3s, dev = 3.3s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 58.5s Stats over 5 runs: max = 58.5s, min = 41.6s, avg = 48.2s, dev = 5.6s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 86.3s Stats over 5 runs: max = 86.3s, min = 75.7s, avg = 82.2s, dev = 3.6s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 60.4s Stats over 5 runs: max = 60.4s, min = 52.1s, avg = 55.2s, dev = 3.0s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 101.9s Stats over 5 runs: max = 101.9s, min = 74.7s, avg = 87.0s, dev = 8.9s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 60.5s Stats over 5 runs: max = 60.5s, min = 54.1s, avg = 57.5s, dev = 2.6s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 50.2s Stats over 5 runs: max = 50.2s, min = 41.3s, avg = 45.6s, dev = 3.1s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 62.4s Stats over 5 runs: max = 62.4s, min = 53.8s, avg = 58.4s, dev = 3.0s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 12.8s Stats over 5 runs: max = 12.8s, min = 4.3s, avg = 6.4s, dev = 3.2s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 45.3s Stats over 5 runs: max = 45.3s, min = 37.2s, avg = 41.0s, dev = 2.6s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 163.5s Stats over 5 runs: max = 163.5s, min = 4.4s, avg = 38.4s, dev = 62.6s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 15.6s Stats over 5 runs: max = 15.6s, min = 6.4s, avg = 10.4s, dev = 3.6s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 21.4s Stats over 5 runs: max = 21.4s, min = 4.2s, avg = 10.1s, dev = 6.0s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 39.1s Stats over 5 runs: max = 39.1s, min = 7.8s, avg = 16.0s, dev = 11.7s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 79.3s Stats over 5 runs: max = 79.3s, min = 28.5s, avg = 54.8s, dev = 18.1s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 21.7s Stats over 6 runs: max = 21.7s, min = 11.1s, avg = 14.8s, dev = 3.5s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 25.3s Stats over 6 runs: max = 25.3s, min = 17.0s, avg = 21.0s, dev = 3.0s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 24.0s Stats over 6 runs: max = 24.0s, min = 4.2s, avg = 13.1s, dev = 8.7s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 65.5s Stats over 6 runs: max = 65.5s, min = 6.2s, avg = 18.9s, dev = 21.0s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 59.5s Stats over 6 runs: max = 59.5s, min = 25.4s, avg = 47.3s, dev = 11.8s //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 12.8s Stats over 7 runs: max = 12.8s, min = 5.4s, avg = 8.0s, dev = 2.2s //tensorflow/compiler/tests:ftrl_test_cpu PASSED in 11.6s Stats over 8 runs: max = 11.6s, min = 5.0s, avg = 6.6s, dev = 2.0s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 61.6s Stats over 8 runs: max = 61.6s, min = 4.1s, avg = 24.0s, dev = 20.2s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 72.4s Stats over 8 runs: max = 72.4s, min = 4.8s, avg = 27.8s, dev = 25.0s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 13.0s Stats over 8 runs: max = 13.0s, min = 5.7s, avg = 8.3s, dev = 2.6s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 14.6s Stats over 8 runs: max = 14.6s, min = 5.3s, avg = 8.8s, dev = 3.1s //tensorflow/dtensor/python/tests:input_util_test PASSED in 54.5s Stats over 8 runs: max = 54.5s, min = 20.7s, avg = 30.9s, dev = 11.6s //tensorflow/dtensor/python/tests:save_restore_v2_test_cpu PASSED in 32.5s Stats over 8 runs: max = 32.5s, min = 6.4s, avg = 12.8s, dev = 7.8s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 34.0s Stats over 8 runs: max = 34.0s, min = 5.4s, avg = 14.5s, dev = 10.0s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 26.9s Stats over 8 runs: max = 26.9s, min = 8.3s, avg = 18.8s, dev = 6.1s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 45.4s Stats over 8 runs: max = 45.4s, min = 4.9s, avg = 21.6s, dev = 14.0s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 33.9s Stats over 8 runs: max = 33.9s, min = 6.2s, avg = 16.1s, dev = 9.4s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 24.0s Stats over 8 runs: max = 24.0s, min = 4.3s, avg = 11.9s, dev = 7.7s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_load_ft_test PASSED in 25.2s Stats over 8 runs: max = 25.2s, min = 15.4s, avg = 18.1s, dev = 2.9s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_load_test PASSED in 105.0s Stats over 8 runs: max = 105.0s, min = 62.5s, avg = 84.7s, dev = 16.8s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_test PASSED in 41.2s Stats over 8 runs: max = 41.2s, min = 12.3s, avg = 24.8s, dev = 10.3s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 18.6s Stats over 8 runs: max = 18.6s, min = 5.2s, avg = 9.6s, dev = 4.6s //tensorflow/python/data/kernel_tests:batch_test PASSED in 30.3s Stats over 8 runs: max = 30.3s, min = 12.5s, avg = 20.0s, dev = 5.9s //tensorflow/python/data/kernel_tests:filter_test PASSED in 19.9s Stats over 8 runs: max = 19.9s, min = 10.5s, avg = 13.1s, dev = 2.9s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 31.0s Stats over 8 runs: max = 31.0s, min = 16.2s, avg = 21.6s, dev = 5.0s //tensorflow/python/data/kernel_tests:shard_test PASSED in 29.4s Stats over 8 runs: max = 29.4s, min = 15.6s, avg = 20.0s, dev = 3.9s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 49.5s Stats over 8 runs: max = 49.5s, min = 24.7s, avg = 31.6s, dev = 7.8s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 29.9s Stats over 8 runs: max = 29.9s, min = 10.4s, avg = 17.4s, dev = 5.8s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test PASSED in 107.5s Stats over 8 runs: max = 107.5s, min = 9.6s, avg = 43.8s, dev = 33.0s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 86.5s Stats over 8 runs: max = 86.5s, min = 37.0s, avg = 56.8s, dev = 13.9s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 180.1s Stats over 8 runs: max = 180.1s, min = 141.8s, avg = 160.6s, dev = 14.5s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 122.9s Stats over 8 runs: max = 122.9s, min = 85.0s, avg = 98.8s, dev = 12.1s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 57.7s Stats over 8 runs: max = 57.7s, min = 3.9s, avg = 13.8s, dev = 17.4s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 10.1s Stats over 8 runs: max = 10.1s, min = 3.6s, avg = 5.7s, dev = 2.3s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 61.8s Stats over 8 runs: max = 61.8s, min = 32.2s, avg = 42.2s, dev = 9.4s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 29.5s Stats over 8 runs: max = 29.5s, min = 10.2s, avg = 22.4s, dev = 6.9s //tensorflow/python/distribute/failure_handling:failure_handler_test FLAKY, failed in 1 out of 9 in 72.0s Stats over 9 runs: max = 72.0s, min = 22.7s, avg = 51.2s, dev = 14.4s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/distribute/failure_handling/failure_handler_test/shard_1_of_8/test_attempts/attempt_1.log //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 11.6s Stats over 10 runs: max = 11.6s, min = 4.6s, avg = 6.3s, dev = 1.9s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 12.1s Stats over 10 runs: max = 12.1s, min = 5.4s, avg = 6.7s, dev = 1.9s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 12.5s Stats over 10 runs: max = 12.5s, min = 4.1s, avg = 8.1s, dev = 2.2s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 11.9s Stats over 10 runs: max = 11.9s, min = 4.4s, avg = 8.5s, dev = 2.2s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 100.1s Stats over 10 runs: max = 100.1s, min = 46.9s, avg = 66.0s, dev = 16.7s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 86.8s Stats over 10 runs: max = 86.8s, min = 41.7s, avg = 63.0s, dev = 14.4s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 26.0s Stats over 10 runs: max = 26.0s, min = 4.5s, avg = 12.3s, dev = 7.6s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 32.0s Stats over 10 runs: max = 32.0s, min = 5.5s, avg = 13.8s, dev = 8.6s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 31.2s Stats over 10 runs: max = 31.2s, min = 6.5s, avg = 13.3s, dev = 6.9s //tensorflow/python/framework:function_test_cpu PASSED in 57.4s Stats over 10 runs: max = 57.4s, min = 4.7s, avg = 11.7s, dev = 15.4s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 16.2s Stats over 10 runs: max = 16.2s, min = 5.2s, avg = 9.0s, dev = 3.1s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 10.0s Stats over 10 runs: max = 10.0s, min = 4.1s, avg = 4.9s, dev = 1.7s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 12.4s Stats over 10 runs: max = 12.4s, min = 5.5s, avg = 7.1s, dev = 1.9s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 131.8s Stats over 10 runs: max = 131.8s, min = 92.6s, avg = 110.3s, dev = 9.9s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 82.0s Stats over 10 runs: max = 82.0s, min = 11.7s, avg = 47.6s, dev = 22.9s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 10.7s Stats over 10 runs: max = 10.7s, min = 4.4s, avg = 6.4s, dev = 1.9s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 25.3s Stats over 10 runs: max = 25.3s, min = 4.9s, avg = 11.4s, dev = 5.6s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 31.6s Stats over 10 runs: max = 31.6s, min = 6.0s, avg = 17.4s, dev = 8.9s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu PASSED in 32.2s Stats over 10 runs: max = 32.2s, min = 5.4s, avg = 11.2s, dev = 8.2s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 18.8s Stats over 10 runs: max = 18.8s, min = 5.5s, avg = 8.9s, dev = 3.8s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 12.0s Stats over 10 runs: max = 12.0s, min = 5.4s, avg = 6.8s, dev = 1.8s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 167.2s Stats over 10 runs: max = 167.2s, min = 21.2s, avg = 91.0s, dev = 66.6s //tensorflow/python/ops:special_math_ops_test_cpu PASSED in 64.2s Stats over 10 runs: max = 64.2s, min = 8.2s, avg = 17.6s, dev = 16.0s //tensorflow/python/ops:weak_tensor_special_math_ops_test_cpu PASSED in 12.7s Stats over 10 runs: max = 12.7s, min = 5.8s, avg = 7.8s, dev = 2.0s //tensorflow/python/ops/numpy_ops/tests:np_indexing_test PASSED in 115.1s Stats over 10 runs: max = 115.1s, min = 82.2s, avg = 96.7s, dev = 11.3s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 33.9s Stats over 10 runs: max = 33.9s, min = 14.3s, avg = 19.5s, dev = 6.3s //tensorflow/python/saved_model:load_test_cpu PASSED in 56.4s Stats over 10 runs: max = 56.4s, min = 30.5s, avg = 36.7s, dev = 7.2s //tensorflow/compiler/tests:fft_test_cpu PASSED in 22.5s Stats over 12 runs: max = 22.5s, min = 6.1s, avg = 13.9s, dev = 5.7s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 17.5s Stats over 12 runs: max = 17.5s, min = 4.1s, avg = 9.5s, dev = 4.1s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 16.4s Stats over 12 runs: max = 16.4s, min = 5.2s, avg = 7.7s, dev = 2.9s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 10.8s Stats over 12 runs: max = 10.8s, min = 4.2s, avg = 6.6s, dev = 2.0s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 29.6s Stats over 12 runs: max = 29.6s, min = 11.9s, avg = 16.2s, dev = 5.4s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 40.5s Stats over 12 runs: max = 40.5s, min = 10.4s, avg = 16.3s, dev = 7.8s //tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 26.0s Stats over 15 runs: max = 26.0s, min = 12.5s, avg = 15.8s, dev = 4.1s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 166.5s Stats over 15 runs: max = 166.5s, min = 121.0s, avg = 142.6s, dev = 11.9s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 50.8s Stats over 15 runs: max = 50.8s, min = 7.0s, avg = 15.8s, dev = 11.7s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 12.1s Stats over 16 runs: max = 12.1s, min = 4.7s, avg = 8.5s, dev = 2.5s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 26.8s Stats over 16 runs: max = 26.8s, min = 9.0s, avg = 17.6s, dev = 5.3s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 35.8s Stats over 16 runs: max = 35.8s, min = 5.6s, avg = 9.9s, dev = 7.0s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 12.8s Stats over 16 runs: max = 12.8s, min = 4.4s, avg = 6.9s, dev = 2.3s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 18.1s Stats over 16 runs: max = 18.1s, min = 9.1s, avg = 12.4s, dev = 2.4s //tensorflow/python/ops:image_ops_test_cpu PASSED in 31.7s Stats over 16 runs: max = 31.7s, min = 11.3s, avg = 17.8s, dev = 5.4s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 68.1s Stats over 17 runs: max = 68.1s, min = 10.8s, avg = 29.8s, dev = 19.3s //tensorflow/python/data/kernel_tests:map_test PASSED in 63.7s Stats over 19 runs: max = 63.7s, min = 11.9s, avg = 27.1s, dev = 12.1s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 26.8s Stats over 20 runs: max = 26.8s, min = 4.1s, avg = 6.5s, dev = 4.7s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 11.2s Stats over 20 runs: max = 11.2s, min = 4.2s, avg = 5.3s, dev = 1.5s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 10.2s Stats over 20 runs: max = 10.2s, min = 4.1s, avg = 5.6s, dev = 1.6s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 10.7s Stats over 20 runs: max = 10.7s, min = 4.0s, avg = 5.5s, dev = 1.8s //tensorflow/compiler/tests:stochastic_cast_op_test_cpu PASSED in 19.6s Stats over 20 runs: max = 19.6s, min = 5.3s, avg = 8.2s, dev = 4.1s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 39.0s Stats over 20 runs: max = 39.0s, min = 4.4s, avg = 10.1s, dev = 8.5s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 28.6s Stats over 20 runs: max = 28.6s, min = 4.3s, avg = 9.9s, dev = 6.7s //tensorflow/dtensor/python/tests:rng_test_cpu PASSED in 30.9s Stats over 20 runs: max = 30.9s, min = 7.4s, avg = 10.0s, dev = 4.8s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 41.5s Stats over 20 runs: max = 41.5s, min = 14.4s, avg = 24.8s, dev = 10.2s //tensorflow/python/kernel_tests:metrics_test PASSED in 44.5s Stats over 20 runs: max = 44.5s, min = 7.9s, avg = 20.0s, dev = 10.1s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 9.7s Stats over 20 runs: max = 9.7s, min = 3.5s, avg = 4.6s, dev = 1.2s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 10.9s Stats over 20 runs: max = 10.9s, min = 4.0s, avg = 5.9s, dev = 2.1s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 70.0s Stats over 20 runs: max = 70.0s, min = 4.8s, avg = 19.4s, dev = 21.1s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 147.2s Stats over 20 runs: max = 147.2s, min = 35.7s, avg = 76.3s, dev = 30.6s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 11.8s Stats over 20 runs: max = 11.8s, min = 5.8s, avg = 7.5s, dev = 1.6s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 19.6s Stats over 20 runs: max = 19.6s, min = 6.4s, avg = 11.6s, dev = 3.9s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 199.8s Stats over 20 runs: max = 199.8s, min = 44.2s, avg = 91.6s, dev = 34.9s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 28.8s Stats over 20 runs: max = 28.8s, min = 4.6s, avg = 12.4s, dev = 7.9s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 22.3s Stats over 20 runs: max = 22.3s, min = 6.2s, avg = 12.9s, dev = 4.2s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 31.6s Stats over 20 runs: max = 31.6s, min = 16.2s, avg = 21.7s, dev = 3.9s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 60.7s Stats over 20 runs: max = 60.7s, min = 6.1s, avg = 33.6s, dev = 19.3s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 32.4s Stats over 20 runs: max = 32.4s, min = 11.1s, avg = 16.3s, dev = 4.9s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 41.9s Stats over 24 runs: max = 41.9s, min = 9.7s, avg = 22.6s, dev = 9.3s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 19.3s Stats over 24 runs: max = 19.3s, min = 4.4s, avg = 9.2s, dev = 4.2s //tensorflow/dtensor/python/tests:multi_device_spmd_test_cpu PASSED in 47.7s Stats over 25 runs: max = 47.7s, min = 24.0s, avg = 32.7s, dev = 6.2s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 21.4s Stats over 30 runs: max = 21.4s, min = 4.7s, avg = 9.8s, dev = 4.6s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 18.5s Stats over 32 runs: max = 18.5s, min = 5.1s, avg = 9.3s, dev = 3.5s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 20.9s Stats over 32 runs: max = 20.9s, min = 4.6s, avg = 10.3s, dev = 4.2s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 228.2s Stats over 35 runs: max = 228.2s, min = 4.8s, avg = 24.0s, dev = 38.9s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 214.5s Stats over 35 runs: max = 214.5s, min = 4.6s, avg = 22.7s, dev = 37.0s //tensorflow/core/kernels:stochastic_cast_op_test PASSED in 2.9s Stats over 48 runs: max = 2.9s, min = 0.4s, avg = 0.6s, dev = 0.4s //tensorflow/compiler/mlir/quantization/stablehlo/python:quantize_model_test PASSED in 45.7s Stats over 50 runs: max = 45.7s, min = 18.4s, avg = 24.0s, dev = 4.8s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 53.1s Stats over 50 runs: max = 53.1s, min = 28.4s, avg = 40.3s, dev = 6.3s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 16.6s Stats over 50 runs: max = 16.6s, min = 3.8s, avg = 9.8s, dev = 3.1s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 29.7s Stats over 50 runs: max = 29.7s, min = 4.4s, avg = 12.7s, dev = 5.7s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 81.7s Stats over 50 runs: max = 81.7s, min = 46.3s, avg = 63.9s, dev = 8.2s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 19.1s Stats over 50 runs: max = 19.1s, min = 6.0s, avg = 10.5s, dev = 3.1s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 48.3s Stats over 50 runs: max = 48.3s, min = 9.8s, avg = 21.1s, dev = 8.5s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 12.7s Stats over 50 runs: max = 12.7s, min = 3.9s, avg = 5.9s, dev = 1.7s Executed 3074 out of 3074 tests: 3073 tests pass and 1 fails locally. There were tests whose specified size is too big. Use the --test_verbose_timeout_warnings command line option to see which ones these are.