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Installing collected packages: tokenizers, safetensors, mpmath, lit, cmake,
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in 34 seconds.
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INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
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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 1 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
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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.
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in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230802195003945154-9362'
createTime: '2023-08-02T19:50:54.501868Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-02_12_50_53-11136582745751296070'
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steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2023-08-02_12_50_53-11136582745751296070]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2023-08-02_12_50_53-11136582745751296070
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-02_12_50_53-11136582745751296070?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2023-08-02_12_50_53-11136582745751296070 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:50:55.069Z:
JOB_MESSAGE_BASIC: The pipeline is using shuffle service with a (boot)
persistent disk size / type other than the default. If that configuration was
intended solely to speed up the non-service shuffle, consider removing it to
reduce costs as those disks are unused by the shuffle service.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:50:58.860Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:51:00.879Z:
JOB_MESSAGE_BASIC: Executing operation
ReadImageNames/Read/Impulse+ReadImageNames/Read/Map(<lambda at
iobase.py:911>)+ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction+ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:51:00.898Z:
JOB_MESSAGE_BASIC: Executing operation
WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse+WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda
at
core.py:3736>)+WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode)+WriteOutputToGCS/Write/WriteImpl/InitializeWrite
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:51:00.957Z:
JOB_MESSAGE_BASIC: Starting 75 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2023-08-02_12_50_53-11136582745751296070 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:51:11.031Z:
JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric
descriptors, so new user metrics of the form custom.googleapis.com/* will not
be created. However, all user metrics are also available in the metric
dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics,
you can delete old / unused metric descriptors. See
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
and
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:51:50.440Z:
JOB_MESSAGE_WARNING: Autoscaling: Startup of the **** pool in zone
us-central1-b reached 68 ****s, but the goal was 75 ****s. The service will
retry. Please refer to
https://cloud.google.com/dataflow/docs/guides/common-errors#****-pool-failure
for help troubleshooting. QUOTA_EXCEEDED: Instance
'benchmark-tests-pytorch-i-08021250-1kvo-harness-7pbz' creation failed: Quota
'NVIDIA_T4_GPUS' exceeded. Limit: 32.0 in region us-central1.
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:52:08.893Z:
JOB_MESSAGE_ERROR: Startup of the **** pool in zone us-central1-b failed to
bring up any of the desired 75 ****s. Please refer to
https://cloud.google.com/dataflow/docs/guides/common-errors#****-pool-failure
for help troubleshooting. QUOTA_EXCEEDED: Instance
'benchmark-tests-pytorch-i-08021250-1kvo-harness-vngg' creation failed: Quota
'NVIDIA_T4_GPUS' exceeded. Limit: 32.0 in region us-central1.
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:52:08.912Z:
JOB_MESSAGE_ERROR: Workflow failed.
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:52:09.053Z:
JOB_MESSAGE_WARNING: Unable to delete temp files:
"gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0802155058.1691005803.943981/dax-tmp-2023-08-02_12_50_53-11136582745751296070-S04-0-109b2162a1cd1062/[email protected]."
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:52:09.057Z:
JOB_MESSAGE_WARNING: Unable to delete temp files:
"gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0802155058.1691005803.943981/dax-tmp-2023-08-02_12_50_53-11136582745751296070-S01-1-5acc6965112fe680/[email protected]."
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:52:09.074Z:
JOB_MESSAGE_WARNING:
S04:ReadImageNames/Read/Impulse+ReadImageNames/Read/Map(<lambda at
iobase.py:911>)+ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction+ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/SplitWithSizing
failed.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:52:09.096Z:
JOB_MESSAGE_BASIC: Finished operation
ReadImageNames/Read/Impulse+ReadImageNames/Read/Map(<lambda at
iobase.py:911>)+ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction+ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/SplitWithSizing
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:52:09.103Z:
JOB_MESSAGE_WARNING: Unable to delete temp files:
"gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0802155058.1691005803.943981/dax-tmp-2023-08-02_12_50_53-11136582745751296070-S01-0-a045cb1eb5607fda/[email protected]."
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:52:09.128Z:
JOB_MESSAGE_WARNING:
S01:WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse+WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda
at
core.py:3736>)+WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode)+WriteOutputToGCS/Write/WriteImpl/InitializeWrite
failed.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:52:09.152Z:
JOB_MESSAGE_BASIC: Finished operation
WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse+WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda
at
core.py:3736>)+WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode)+WriteOutputToGCS/Write/WriteImpl/InitializeWrite
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:52:09.285Z:
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T19:52:30.062Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2023-08-02_12_50_53-11136582745751296070 is in state JOB_STATE_FAILED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL:
https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-02_12_50_53-11136582745751296070?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:
Workflow failed.
> 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 6m 41s
15 actionable tasks: 4 executed, 11 up-to-date
Publishing build scan...
https://ge.apache.org/s/yokkzumd7rvv6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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