See <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/15/display/redirect?page=changes>
Changes: [Pablo Estrada] Revert "Trying out property-based tests for Beam python coders (#22233)" [noreply] Bump google.golang.org/api from 0.95.0 to 0.96.0 in /sdks (#23246) [noreply] [Go SDK] Add timer coder support (#23222) [noreply] Fix wrong comment (#23272) [noreply] [Playground] [Backend] Cache component for playground examples (#22869) [noreply] [BEAM-13416] Introduce Schema provider for AWS models and deprecate low [noreply] [BEAM-14378] [CdapIO] SparkReceiverIO Read via SDF (#17828) ------------------------------------------ [...truncated 28.22 KB...] Using cached execnet-1.9.0-py2.py3-none-any.whl (39 kB) Collecting idna<4,>=2.5 Using cached idna-3.4-py3-none-any.whl (61 kB) Collecting certifi>=2017.4.17 Using cached certifi-2022.9.14-py3-none-any.whl (162 kB) Collecting charset-normalizer<3,>=2 Using cached charset_normalizer-2.1.1-py3-none-any.whl (39 kB) Collecting urllib3<1.27,>=1.21.1 Using cached urllib3-1.26.12-py2.py3-none-any.whl (140 kB) Collecting 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sha256=7796a2f4e1e3ffe3cca061dd8ea5b77357fa313fff0459fce0dc2789ee4c7133 Stored in directory: /home/jenkins/.cache/pip/wheels/97/1d/ca/abe743f69d6d87f43956841c5c2465eaae64e663853def665d Successfully built apache-beam Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, 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, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.76 botocore-1.27.76 cachetools-4.2.4 certifi-2022.9.14 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0 > Task :sdks:python:apache_beam:testing:load_tests:run Collecting torch>=1.7.1 Using cached torch-1.12.1-cp37-cp37m-manylinux1_x86_64.whl (776.3 MB) Collecting torchvision>=0.8.2 Using cached torchvision-0.13.1-cp37-cp37m-manylinux1_x86_64.whl (19.1 MB) Collecting pillow>=8.0.0 Using cached Pillow-9.2.0-cp37-cp37m-manylinux_2_28_x86_64.whl (3.2 MB) Collecting transformers>=4.18.0 Using cached transformers-4.22.1-py3-none-any.whl (4.9 MB) Requirement already satisfied: typing-extensions in 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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-python0920150111.1663689515.178408/matplotlib-3.5.3-cp38-cp38-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-python0920150111.1663689515.178408/matplotlib-3.5.3-cp38-cp38-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-python0920150111.1663689515.178408/matplotlib-3.5.3-cp39-cp39-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-python0920150111.1663689515.178408/matplotlib-3.5.3-cp39-cp39-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-python0920150111.1663689515.178408/Pillow-9.2.0-cp37-cp37m-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-python0920150111.1663689515.178408/Pillow-9.2.0-cp37-cp37m-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-python0920150111.1663689515.178408/matplotlib-3.6.0-cp39-cp39-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-python0920150111.1663689515.178408/matplotlib-3.6.0-cp39-cp39-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-python0920150111.1663689515.178408/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0920150111.1663689515.178408/dataflow_python_sdk.tar 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-python0920150111.1663689515.178408/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python0920150111.1663689515.178408/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20220920155835179688-9317' createTime: '2022-09-20T15:59:13.983740Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-09-20_08_59_13-18365571715324012726' location: 'us-central1' name: 'benchmark-tests-pytorch-imagenet-python0920150111' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-09-20T15:59:13.983740Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-09-20_08_59_13-18365571715324012726] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-09-20_08_59_13-18365571715324012726 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-09-20_08_59_13-18365571715324012726?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-20_08_59_13-18365571715324012726 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:13.412Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:14.724Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-09-20_08_59_13-18365571715324012726. The number of ****s will be between 1 and 1000. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:14.835Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-09-20_08_59_13-18365571715324012726. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:17.972Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:19.309Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:19.349Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:19.479Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:19.501Z: 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:2022-09-20T15:59:19.576Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:19.613Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:19.665Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:19.698Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteOutputToGCS/Write/WriteImpl/InitializeWrite into WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:19.775Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda at core.py:3481>) into WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:19.817Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode) into WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda at core.py:3481>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:19.847Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadImageNames/Read/Map(<lambda at iobase.py:908>) into ReadImageNames/Read/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:19.874Z: 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:2022-09-20T15:59:19.909Z: 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:2022-09-20T15:59:19.944Z: JOB_MESSAGE_DETAILED: Fusing consumer FilterEmptyLines into ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.005Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadImageData into FilterEmptyLines INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.040Z: JOB_MESSAGE_DETAILED: Fusing consumer PreprocessImages into ReadImageData INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.072Z: JOB_MESSAGE_DETAILED: Fusing consumer PyTorchRunInference/BatchElements/ParDo(_GlobalWindowsBatchingDoFn) into PreprocessImages INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.108Z: JOB_MESSAGE_DETAILED: Fusing consumer PyTorchRunInference/BeamML_RunInference into PyTorchRunInference/BatchElements/ParDo(_GlobalWindowsBatchingDoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.147Z: JOB_MESSAGE_DETAILED: Fusing consumer ProcessOutput into PyTorchRunInference/BeamML_RunInference INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.181Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteOutputToGCS/Write/WriteImpl/Map(<lambda at iobase.py:1140>) into ProcessOutput INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.207Z: 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:2022-09-20T15:59:20.253Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteOutputToGCS/Write/WriteImpl/GroupByKey/Write into WriteOutputToGCS/Write/WriteImpl/WindowInto(WindowIntoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.296Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteOutputToGCS/Write/WriteImpl/WriteBundles into WriteOutputToGCS/Write/WriteImpl/GroupByKey/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.330Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.362Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.394Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.453Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.649Z: JOB_MESSAGE_DEBUG: Executing wait step start19 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.712Z: 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:2022-09-20T15:59:20.747Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse+WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda at core.py:3481>)+WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode)+WriteOutputToGCS/Write/WriteImpl/InitializeWrite INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.762Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:20.816Z: JOB_MESSAGE_BASIC: Starting 1 ****s in us-central1-a... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-20_08_59_13-18365571715324012726 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T15:59:44.122Z: 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:2022-09-20T16:00:02.889Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 1 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:00:31.693Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:41.842Z: 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:2022-09-20T16:06:41.954Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse+WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda at core.py:3481>)+WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode)+WriteOutputToGCS/Write/WriteImpl/InitializeWrite INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.021Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7-split-with-sizing-out3" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.052Z: JOB_MESSAGE_DEBUG: Value "WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode).None" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.076Z: JOB_MESSAGE_DEBUG: Value "WriteOutputToGCS/Write/WriteImpl/InitializeWrite.None" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.118Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/GroupByKey/Create INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.143Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/WriteBundles/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/WriteBundles INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.171Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/FinalizeWrite INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.209Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/WriteBundles/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/WriteBundles INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.222Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/PreFinalize/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/PreFinalize INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.235Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/FinalizeWrite INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.260Z: JOB_MESSAGE_DEBUG: Value "WriteOutputToGCS/Write/WriteImpl/WriteBundles/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/WriteBundles.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.288Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/PreFinalize/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/PreFinalize INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.305Z: JOB_MESSAGE_DEBUG: Value "WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/FinalizeWrite.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.366Z: JOB_MESSAGE_DEBUG: Value "WriteOutputToGCS/Write/WriteImpl/PreFinalize/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/PreFinalize.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:45.171Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/GroupByKey/Create INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:45.252Z: JOB_MESSAGE_DEBUG: Value "WriteOutputToGCS/Write/WriteImpl/GroupByKey/Session" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:45.335Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/ProcessElementAndRestrictionWithSizing+FilterEmptyLines+ReadImageData+PreprocessImages+PyTorchRunInference/BatchElements/ParDo(_GlobalWindowsBatchingDoFn)+PyTorchRunInference/BeamML_RunInference+ProcessOutput+WriteOutputToGCS/Write/WriteImpl/Map(<lambda at iobase.py:1140>)+WriteOutputToGCS/Write/WriteImpl/WindowInto(WindowIntoFn)+WriteOutputToGCS/Write/WriteImpl/GroupByKey/Write INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:05.921Z: JOB_MESSAGE_DETAILED: Autoscaling: Resizing **** pool from 1 to 65. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:11.148Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 65 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:36.127Z: JOB_MESSAGE_DETAILED: Autoscaling: Resizing **** pool from 65 to 84. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:41.384Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 73 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:41.406Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 73, though goal was 84. This could be a quota issue. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:51.741Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 84 based on the rate of progress in the currently running stage(s). Terminated The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=c1fb9e8a-56dd-4656-9919-2ac75960a1b9, currentDir=<https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 2929019 log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-2929019.out.log ----- Last 20 lines from daemon log file - daemon-2929019.out.log ----- INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.143Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/WriteBundles/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/WriteBundles INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.171Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/FinalizeWrite INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.209Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/WriteBundles/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/WriteBundles INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.222Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/PreFinalize/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/PreFinalize INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.235Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/FinalizeWrite INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.260Z: JOB_MESSAGE_DEBUG: Value "WriteOutputToGCS/Write/WriteImpl/WriteBundles/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/WriteBundles.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.288Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/PreFinalize/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/PreFinalize INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.305Z: JOB_MESSAGE_DEBUG: Value "WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/FinalizeWrite.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:42.366Z: JOB_MESSAGE_DEBUG: Value "WriteOutputToGCS/Write/WriteImpl/PreFinalize/View-python_side_input0-WriteOutputToGCS/Write/WriteImpl/PreFinalize.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:45.171Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/GroupByKey/Create INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:45.252Z: JOB_MESSAGE_DEBUG: Value "WriteOutputToGCS/Write/WriteImpl/GroupByKey/Session" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:06:45.335Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/ProcessElementAndRestrictionWithSizing+FilterEmptyLines+ReadImageData+PreprocessImages+PyTorchRunInference/BatchElements/ParDo(_GlobalWindowsBatchingDoFn)+PyTorchRunInference/BeamML_RunInference+ProcessOutput+WriteOutputToGCS/Write/WriteImpl/Map(<lambda at iobase.py:1140>)+WriteOutputToGCS/Write/WriteImpl/WindowInto(WindowIntoFn)+WriteOutputToGCS/Write/WriteImpl/GroupByKey/Write INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:05.921Z: JOB_MESSAGE_DETAILED: Autoscaling: Resizing **** pool from 1 to 65. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:11.148Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 65 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:36.127Z: JOB_MESSAGE_DETAILED: Autoscaling: Resizing **** pool from 65 to 84. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:41.384Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 73 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:41.406Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 73, though goal was 84. This could be a quota issue. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-20T16:09:51.741Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 84 based on the rate of progress in the currently running stage(s). Terminated Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt. ----- End of the daemon log ----- FAILURE: Build failed with an exception. * What went wrong: Gradle build daemon disappeared unexpectedly (it may have been killed or may have crashed) * Try: > Run with --stacktrace option to get the stack trace. > Run with --info or --debug option to get more log output. > Run with --scan to get full insights. * Get more help at https://help.gradle.org Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
