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Installing collected packages: sortedcontainers, pytz, docopt, crcmod,
zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli,
threadpoolctl, tenacity, sqlparse, scipy, regex, pyyaml, python-dateutil,
pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow,
psycopg2-binary, proto-plus, portalocker, parameterized, overrides, orjson,
objsize, mock, joblib, jmespath, isodate, iniconfig, idna, greenlet,
googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet,
exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer,
certifi, cachetools, attrs, sqlalchemy, scikit-learn, rsa, requests, pytest,
pymongo, pydot, pyasn1-modules, pandas, hypothesis, httplib2, grpcio-status,
google-resumable-media, freezegun, cffi, botocore, s3transfer, requests_mock,
pytest-xdist, pytest-timeout, oauth2client, hdfs, grpc-google-iam-v1,
google-auth, docker, cryptography, azure-core, testcontainers,
google-auth-httplib2, google-apitools, google-api-core, boto3,
azure-storage-blob, apache-beam, msal, google-cloud-core, msal-extensions,
google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner,
google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language,
google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable,
google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite,
azure-identity
Successfully installed PyJWT-2.7.0 apache-beam-2.49.0.dev0 attrs-23.1.0
azure-core-1.27.0 azure-identity-1.13.0 azure-storage-blob-12.16.0
boto3-1.26.147 botocore-1.29.147 cachetools-5.3.1 certifi-2023.5.7 cffi-1.15.1
charset-normalizer-3.1.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.1
deprecation-2.1.0 dill-0.3.1.1 dnspython-2.3.0 docker-6.1.3 docopt-0.6.2
exceptiongroup-1.1.1 execnet-1.9.0 fastavro-1.7.4 fasteners-0.18
freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31
google-auth-2.19.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.11.0
google-cloud-bigquery-storage-2.20.0 google-cloud-bigtable-2.17.0
google-cloud-core-2.3.2 google-cloud-datastore-2.15.2 google-cloud-dlp-3.12.1
google-cloud-language-2.10.0 google-cloud-pubsub-2.17.1
google-cloud-pubsublite-1.8.2 google-cloud-recommendations-ai-0.10.3
google-cloud-spanner-3.35.1 google-cloud-videointelligence-2.11.2
google-cloud-vision-3.4.2 google-crc32c-1.5.0 google-resumable-media-2.5.0
googleapis-common-protos-1.59.0 greenlet-2.0.2 grpc-google-iam-v1-0.12.6
grpcio-status-1.54.2 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.76.0 idna-3.4
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overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0
proto-plus-1.22.2 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0
pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.3.3
pymysql-1.0.3 pyparsing-3.0.9 pytest-7.3.1 pytest-timeout-2.1.0
pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.6.3
requests-2.31.0 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.1
scikit-learn-1.2.2 scipy-1.10.1 sortedcontainers-2.4.0 sqlalchemy-1.4.48
sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.1.0
tomli-2.0.1 typing-extensions-4.6.3 urllib3-1.26.16 websocket-client-1.5.2
wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
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Installing collected packages: tokenizers, mpmath, lit, cmake, tqdm, sympy,
pillow, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11,
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nvidia-cuda-nvrtc-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, networkx,
MarkupSafe, fsspec, nvidia-cusolver-cu11, nvidia-cudnn-cu11, jinja2,
huggingface-hub, transformers, triton, torch, torchvision
Successfully installed MarkupSafe-2.1.3 cmake-3.26.3 fsspec-2023.5.0
huggingface-hub-0.15.1 jinja2-3.1.2 lit-16.0.5.post0 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
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pillow-9.5.0 sympy-1.12 tokenizers-0.13.3 torch-2.0.1 torchvision-0.15.2
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INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/beautifulsoup4-4.12.2-py3-none-any.whl...
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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
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/torch-2.0.1-cp38-cp38-manylinux1_x86_64.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/torch-2.0.1-cp38-cp38-manylinux1_x86_64.whl
in 31 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/torchvision-0.15.2-cp38-cp38-manylinux1_x86_64.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
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in 2 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/Pillow-9.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/Pillow-9.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/matplotlib-3.5.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/matplotlib-3.5.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/matplotlib-3.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/matplotlib-3.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/matplotlib-3.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/matplotlib-3.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
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
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/scikit_learn-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/scikit_learn-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
in 1 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.
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in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230606175950745518-9447'
createTime: '2023-06-06T18:00:32.930670Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-06-06_11_00_31-2138768957490843303'
location: 'us-central1'
name: 'benchmark-tests-pytorch-imagenet-python0606162548'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-06-06T18:00:32.930670Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2023-06-06_11_00_31-2138768957490843303]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2023-06-06_11_00_31-2138768957490843303
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-06-06_11_00_31-2138768957490843303?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2023-06-06_11_00_31-2138768957490843303 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:32.131Z:
JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use
--experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:33.380Z:
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:2023-06-06T18:00:36.060Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.208Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.232Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.299Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.342Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
WriteOutputToGCS/Write/WriteImpl/GroupByKey: GroupByKey not followed by a
combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.379Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.406Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.480Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.504Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteOutputToGCS/Write/WriteImpl/InitializeWrite into
WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.528Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda at core.py:3634>) into
WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.561Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode) into
WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda at core.py:3634>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.587Z:
JOB_MESSAGE_DETAILED: Fusing consumer ReadImageNames/Read/Map(<lambda at
iobase.py:908>) into ReadImageNames/Read/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.617Z:
JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction
into ReadImageNames/Read/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.660Z:
JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/SplitWithSizing
into
ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.702Z:
JOB_MESSAGE_DETAILED: Fusing consumer FilterEmptyLines into
ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.740Z:
JOB_MESSAGE_DETAILED: Fusing consumer
PyTorchRunInference/BeamML_RunInference_Preprocess-0 into FilterEmptyLines
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.782Z:
JOB_MESSAGE_DETAILED: Fusing consumer
PyTorchRunInference/BatchElements/ParDo(_GlobalWindowsBatchingDoFn) into
PyTorchRunInference/BeamML_RunInference_Preprocess-0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.823Z:
JOB_MESSAGE_DETAILED: Fusing consumer PyTorchRunInference/BeamML_RunInference
into PyTorchRunInference/BatchElements/ParDo(_GlobalWindowsBatchingDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.855Z:
JOB_MESSAGE_DETAILED: Fusing consumer
PyTorchRunInference/BeamML_RunInference_Postprocess-0 into
PyTorchRunInference/BeamML_RunInference
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.888Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteOutputToGCS/Write/WriteImpl/Map(<lambda at iobase.py:1140>) into
PyTorchRunInference/BeamML_RunInference_Postprocess-0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.914Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteOutputToGCS/Write/WriteImpl/WindowInto(WindowIntoFn) into
WriteOutputToGCS/Write/WriteImpl/Map(<lambda at iobase.py:1140>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.952Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteOutputToGCS/Write/WriteImpl/GroupByKey/Write into
WriteOutputToGCS/Write/WriteImpl/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:37.980Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteOutputToGCS/Write/WriteImpl/WriteBundles into
WriteOutputToGCS/Write/WriteImpl/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:38.029Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:38.062Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:38.096Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:38.128Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:38.272Z:
JOB_MESSAGE_DEBUG: Executing wait step start19
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:38.327Z:
JOB_MESSAGE_BASIC: Executing operation
ReadImageNames/Read/Impulse+ReadImageNames/Read/Map(<lambda at
iobase.py:908>)+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:2023-06-06T18:00:38.358Z:
JOB_MESSAGE_BASIC: Executing operation
WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse+WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda
at
core.py:3634>)+WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode)+WriteOutputToGCS/Write/WriteImpl/InitializeWrite
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:38.385Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:00:38.422Z:
JOB_MESSAGE_BASIC: Starting 75 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2023-06-06_11_00_31-2138768957490843303 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:01:14.376Z:
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
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:01:23.595Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 72 based on
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:01:23.627Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 72, though goal was 75.
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:01:33.293Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 74 based on
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:01:33.321Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 74, though goal was 75.
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:01:43.370Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 75 based on
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T18:01:54.755Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:00:39.263Z:
JOB_MESSAGE_ERROR: Workflow failed. Causes: The Dataflow job appears to be
stuck because no **** activity has been seen in the last 1h. Please check the
**** logs in Stackdriver Logging. You can also get help with Cloud Dataflow at
https://cloud.google.com/dataflow/support.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:00:39.358Z:
JOB_MESSAGE_BASIC: Cancel request is committed for workflow job:
2023-06-06_11_00_31-2138768957490843303.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:00:39.377Z:
JOB_MESSAGE_ERROR: The Dataflow job appears to be stuck because no ****
activity has been seen in the last 1h. Please check the **** logs in
Stackdriver Logging. You can also get help with Cloud Dataflow at
https://cloud.google.com/dataflow/support.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:00:39.427Z:
JOB_MESSAGE_WARNING: Unable to delete temp files:
"gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/dax-tmp-2023-06-06_11_00_31-2138768957490843303-S01-0-fdfbb8c37e22def4/[email protected]."
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:00:39.429Z:
JOB_MESSAGE_WARNING: Unable to delete temp files:
"gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/dax-tmp-2023-06-06_11_00_31-2138768957490843303-S04-0-329fc5ad211fab3b/[email protected]."
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:00:39.430Z:
JOB_MESSAGE_WARNING: Unable to delete temp files:
"gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0606162548.1686074390.744067/dax-tmp-2023-06-06_11_00_31-2138768957490843303-S01-1-bee35b29a3f6b7f8/[email protected]."
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:00:39.450Z:
JOB_MESSAGE_WARNING:
S04:ReadImageNames/Read/Impulse+ReadImageNames/Read/Map(<lambda at
iobase.py:908>)+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:2023-06-06T19:00:39.450Z:
JOB_MESSAGE_WARNING:
S01:WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse+WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda
at
core.py:3634>)+WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode)+WriteOutputToGCS/Write/WriteImpl/InitializeWrite
failed.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:00:39.473Z:
JOB_MESSAGE_BASIC: Finished operation
ReadImageNames/Read/Impulse+ReadImageNames/Read/Map(<lambda at
iobase.py:908>)+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:2023-06-06T19:00:39.473Z:
JOB_MESSAGE_BASIC: Finished operation
WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse+WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda
at
core.py:3634>)+WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode)+WriteOutputToGCS/Write/WriteImpl/InitializeWrite
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:00:40.210Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:00:40.261Z:
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:00:40.286Z:
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:03:07.071Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 75 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:03:07.103Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-06T19:03:07.125Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2023-06-06_11_00_31-2138768957490843303 is in state JOB_STATE_FAILED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL:
https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-06-06_11_00_31-2138768957490843303?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 1563, in wait_until_finish
raise DataflowRuntimeException(
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow
pipeline failed. State: FAILED, Error:
The Dataflow job appears to be stuck because no **** activity has been seen in
the last 1h. Please check the **** logs in Stackdriver Logging. You can also
get help with Cloud Dataflow at https://cloud.google.com/dataflow/support.
> 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/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 7m 19s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/ke3g62gt44qc6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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