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> Task :sdks:python:apache_beam:testing:load_tests:run
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Installing collected packages: tokenizers, safetensors, mpmath, lit, cmake,
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huggingface-hub-0.16.4 jinja2-3.1.2 lit-16.0.6 mpmath-1.3.0 networkx-3.1
nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101
nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99
nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58
nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1
nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91
pillow-10.0.0 safetensors-0.3.1 sympy-1.12 tokenizers-0.13.3 torch-2.0.1
torchvision-0.15.2 tqdm-4.65.0 transformers-4.31.0 triton-2.0.0
INFO:root:Device is set to CPU
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.portability.stager:Executing command:
['<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/bin/python',>
'-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r',
'/tmp/tmpfqhij9gu/tmp_requirements.txt', '--exists-action', 'i', '--no-deps',
'--implementation', 'cp', '--abi', 'cp38', '--platform', 'manylinux2014_x86_64']
INFO:apache_beam.runners.portability.stager:Copying Beam SDK
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/build/apache-beam.tar.gz";>
to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional
dependencies to be installed in SDK **** container, consider using the SDK
container image pre-building workflow to avoid repetitive installations. Learn
more on
https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image:
gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to
"gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for
Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
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INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
<function sort_stages at 0x7f3e56879550> ====================
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in 1 seconds.
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in 1 seconds.
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INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
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in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
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INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
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in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
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in 0 seconds.
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 165, in run
result = pipeline.run()
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/testing/test_pipeline.py";,>
line 112, in run
result = super().run(
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/pipeline.py";,>
line 550, in run
return Pipeline.from_runner_api(
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/pipeline.py";,>
line 577, in run
return self.runner.run_pipeline(self, self._options)
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
line 472, in run_pipeline
self.dataflow_client.create_job(self.job), self)
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/utils/retry.py";,>
line 275, in wrapper
return fun(*args, **kwargs)
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/internal/apiclient.py";,>
line 720, in create_job
return self.submit_job_description(job)
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/utils/retry.py";,>
line 275, in wrapper
return fun(*args, **kwargs)
File
"<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/internal/apiclient.py";,>
line 838, in submit_job_description
raise DataflowJobAlreadyExistsError(
apache_beam.runners.dataflow.internal.apiclient.DataflowJobAlreadyExistsError:
There is already active job named
benchmark-tests-pytorch-imagenet-python0728161153 with id:
2023-07-28_12_09_44-4725819878998581239. If you want to submit a second job,
try again by setting a different name using --job_name.
> 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 8m 37s
15 actionable tasks: 5 executed, 10 up-to-date
Publishing build scan...
https://ge.apache.org/s/p6jglafziy6za
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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