See
<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/333/display/redirect>
Changes:
------------------------------------------
[...truncated 660.68 KB...]
File "apache_beam/runners/common.py", line 1533, in
apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1423, in
apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 839, in
apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 985, in
apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 991, in process
return self._run_inference(batch, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 960, in _run_inference
raise e
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 956, in _run_inference
result_generator = self._model_handler.run_inference(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 489, in run_inference
return self._base.run_inference(batch, model, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 433, in run_inference
return self._base.run_inference(batch, model, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 281, in run_inference
keys, self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 317, in run_inference
return self._inference_fn(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 150, in default_tensor_inference_fn
batched_tensors = _convert_to_device(batched_tensors, device)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 135, in _convert_to_device
examples = examples.to(device)
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so
the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
[while running 'PyTorchRunInference/BeamML_RunInference-ptransform-73']
Worker ID: benchmark-tests-pytorch-i-08071239-6v6n-harness-wrr0,
Root cause: Traceback (most recent call last):
File "apache_beam/runners/common.py", line 1423, in
apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 839, in
apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 985, in
apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 991, in process
return self._run_inference(batch, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 960, in _run_inference
raise e
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 956, in _run_inference
result_generator = self._model_handler.run_inference(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 489, in run_inference
return self._base.run_inference(batch, model, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 433, in run_inference
return self._base.run_inference(batch, model, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 281, in run_inference
keys, self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 317, in run_inference
return self._inference_fn(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 150, in default_tensor_inference_fn
batched_tensors = _convert_to_device(batched_tensors, device)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 135, in _convert_to_device
examples = examples.to(device)
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so
the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py",
line 297, in _execute
response = task()
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py",
line 372, in <lambda>
lambda: self.create_****().do_instruction(request), request)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py",
line 625, in do_instruction
return getattr(self, request_type)(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py",
line 663, in process_bundle
bundle_processor.process_bundle(instruction_id))
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/bundle_processor.py",
line 1046, in process_bundle
op.finish()
File "apache_beam/runners/****/operations.py", line 983, in
apache_beam.runners.****.operations.DoOperation.finish
File "apache_beam/runners/****/operations.py", line 986, in
apache_beam.runners.****.operations.DoOperation.finish
File "apache_beam/runners/****/operations.py", line 987, in
apache_beam.runners.****.operations.DoOperation.finish
File "apache_beam/runners/common.py", line 1501, in
apache_beam.runners.common.DoFnRunner.finish
File "apache_beam/runners/common.py", line 1482, in
apache_beam.runners.common.DoFnRunner._invoke_bundle_method
File "apache_beam/runners/common.py", line 1513, in
apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1480, in
apache_beam.runners.common.DoFnRunner._invoke_bundle_method
File "apache_beam/runners/common.py", line 563, in
apache_beam.runners.common.DoFnInvoker.invoke_finish_bundle
File "apache_beam/runners/common.py", line 568, in
apache_beam.runners.common.DoFnInvoker.invoke_finish_bundle
File "apache_beam/runners/common.py", line 1771, in
apache_beam.runners.common._OutputHandler.finish_bundle_outputs
File "apache_beam/runners/****/operations.py", line 264, in
apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 951, in
apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/****/operations.py", line 952, in
apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1425, in
apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1533, in
apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1423, in
apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 839, in
apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 985, in
apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 991, in process
return self._run_inference(batch, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 960, in _run_inference
raise e
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 956, in _run_inference
result_generator = self._model_handler.run_inference(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 489, in run_inference
return self._base.run_inference(batch, model, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 433, in run_inference
return self._base.run_inference(batch, model, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 281, in run_inference
keys, self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 317, in run_inference
return self._inference_fn(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 150, in default_tensor_inference_fn
batched_tensors = _convert_to_device(batched_tensors, device)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 135, in _convert_to_device
examples = examples.to(device)
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so
the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
[while running 'PyTorchRunInference/BeamML_RunInference-ptransform-73']
Worker ID: benchmark-tests-pytorch-i-08071239-6v6n-harness-wrr0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-07T20:04:05.169Z:
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-07T20:06:26.912Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2023-08-07_12_39_55-15561009488554470429 is in state JOB_STATE_FAILED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL:
https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-07_12_39_55-15561009488554470429?project=<ProjectId>
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/testing/benchmarks/inference/pytorch_image_classification_benchmarks.py";,>
line 68, in <module>
PytorchVisionBenchmarkTest().run()
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,>
line 148, in run
self.test()
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/testing/benchmarks/inference/pytorch_image_classification_benchmarks.py";,>
line 58, in test
self.result = pytorch_image_classification.run(
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/examples/inference/pytorch_image_classification.py";,>
line 166, in run
result.wait_until_finish()
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
line 766, in wait_until_finish
raise DataflowRuntimeException(
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow
pipeline failed. State: FAILED, Error:
Traceback (most recent call last):
File "apache_beam/runners/common.py", line 1423, in
apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 839, in
apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 985, in
apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 991, in process
return self._run_inference(batch, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 960, in _run_inference
raise e
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 956, in _run_inference
result_generator = self._model_handler.run_inference(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 489, in run_inference
return self._base.run_inference(batch, model, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 433, in run_inference
return self._base.run_inference(batch, model, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 281, in run_inference
keys, self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 317, in run_inference
return self._inference_fn(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 150, in default_tensor_inference_fn
batched_tensors = _convert_to_device(batched_tensors, device)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 135, in _convert_to_device
examples = examples.to(device)
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so
the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py",
line 297, in _execute
response = task()
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py",
line 372, in <lambda>
lambda: self.create_****().do_instruction(request), request)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py",
line 625, in do_instruction
return getattr(self, request_type)(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py",
line 663, in process_bundle
bundle_processor.process_bundle(instruction_id))
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/bundle_processor.py",
line 1046, in process_bundle
op.finish()
File "apache_beam/runners/****/operations.py", line 983, in
apache_beam.runners.****.operations.DoOperation.finish
File "apache_beam/runners/****/operations.py", line 986, in
apache_beam.runners.****.operations.DoOperation.finish
File "apache_beam/runners/****/operations.py", line 987, in
apache_beam.runners.****.operations.DoOperation.finish
File "apache_beam/runners/common.py", line 1501, in
apache_beam.runners.common.DoFnRunner.finish
File "apache_beam/runners/common.py", line 1482, in
apache_beam.runners.common.DoFnRunner._invoke_bundle_method
File "apache_beam/runners/common.py", line 1513, in
apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1480, in
apache_beam.runners.common.DoFnRunner._invoke_bundle_method
File "apache_beam/runners/common.py", line 563, in
apache_beam.runners.common.DoFnInvoker.invoke_finish_bundle
File "apache_beam/runners/common.py", line 568, in
apache_beam.runners.common.DoFnInvoker.invoke_finish_bundle
File "apache_beam/runners/common.py", line 1771, in
apache_beam.runners.common._OutputHandler.finish_bundle_outputs
File "apache_beam/runners/****/operations.py", line 264, in
apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 951, in
apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/****/operations.py", line 952, in
apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1425, in
apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1533, in
apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1423, in
apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 839, in
apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 985, in
apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 991, in process
return self._run_inference(batch, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 960, in _run_inference
raise e
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 956, in _run_inference
result_generator = self._model_handler.run_inference(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 489, in run_inference
return self._base.run_inference(batch, model, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 433, in run_inference
return self._base.run_inference(batch, model, inference_args)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py",
line 281, in run_inference
keys, self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 317, in run_inference
return self._inference_fn(
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 150, in default_tensor_inference_fn
batched_tensors = _convert_to_device(batched_tensors, device)
File
"/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py",
line 135, in _convert_to_device
examples = examples.to(device)
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so
the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
[while running 'PyTorchRunInference/BeamML_RunInference-ptransform-73']
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file
'<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'>
line: 63
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with
Gradle 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings
and determine if they come from your own scripts or plugins.
See
https://docs.gradle.org/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 31m 11s
15 actionable tasks: 4 executed, 11 up-to-date
Publishing build scan...
https://ge.apache.org/s/6ioj6ddoctpb4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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