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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/08/12 19:37:14 UTC
Build failed in Jenkins: beam_Inference_Python_Benchmarks_Dataflow #338
See <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/338/display/redirect>
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Building wheels for collected packages: apache-beam
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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, tqdm, sympy, pillow, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cufft-cu11, nvidia-cuda-runtime-cu11, 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-3.27.2 fsspec-2023.6.0 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-0.3.2 sympy-1.12 tokenizers-0.13.3 torch-2.0.1 torchvision-0.15.2 tqdm-4.66.1 transformers-4.31.0 triton-2.0.0
INFO:root:Device is set to CUDA
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.
WARNING:apache_beam.runners.portability.stager:When using a custom container image, prefer installing additional PyPI dependencies directly into the image, instead of specifying them via runtime options, such as --requirements_file.
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/tmpj6ij2p3v/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: us.gcr.io/apache-beam-testing/python-postcommit-it/tensor_rt:latest
INFO:root:Python SDK container image set to "us.gcr.io/apache-beam-testing/python-postcommit-it/tensor_rt:latest" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f7f0380f670> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f7f0380fe50> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/requirements.txt...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/requirements.txt 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-python-gpu0812155050.1691868873.025917/mock-2.0.0-py2.py3-none-any.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/mock-2.0.0-py2.py3-none-any.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-python-gpu0812155050.1691868873.025917/seaborn-0.12.2-py3-none-any.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/seaborn-0.12.2-py3-none-any.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-python-gpu0812155050.1691868873.025917/PyHamcrest-1.10.1-py3-none-any.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/PyHamcrest-1.10.1-py3-none-any.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-python-gpu0812155050.1691868873.025917/transformers-4.31.0-py3-none-any.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/transformers-4.31.0-py3-none-any.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-python-gpu0812155050.1691868873.025917/beautifulsoup4-4.12.2-py3-none-any.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/beautifulsoup4-4.12.2-py3-none-any.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-python-gpu0812155050.1691868873.025917/parameterized-0.7.5-py2.py3-none-any.whl...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/parameterized-0.7.5-py2.py3-none-any.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-python-gpu0812155050.1691868873.025917/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-python-gpu0812155050.1691868873.025917/torch-2.0.1-cp38-cp38-manylinux1_x86_64.whl in 27 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/torchvision-0.15.2-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-python-gpu0812155050.1691868873.025917/torchvision-0.15.2-cp38-cp38-manylinux1_x86_64.whl 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-python-gpu0812155050.1691868873.025917/Pillow-10.0.0-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-python-gpu0812155050.1691868873.025917/Pillow-10.0.0-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-python-gpu0812155050.1691868873.025917/matplotlib-3.7.2-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-python-gpu0812155050.1691868873.025917/matplotlib-3.7.2-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-python-gpu0812155050.1691868873.025917/scikit_learn-1.0.2-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-python-gpu0812155050.1691868873.025917/scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 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-python-gpu0812155050.1691868873.025917/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-python-gpu0812155050.1691868873.025917/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-python-gpu0812155050.1691868873.025917/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230812193433027224-4163'
createTime: '2023-08-12T19:35:06.834283Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-12_12_35_05-5687932922082168038'
location: 'us-central1'
name: 'benchmark-tests-pytorch-imagenet-python-gpu0812155050'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-12T19:35:06.834283Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-12_12_35_05-5687932922082168038]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-12_12_35_05-5687932922082168038
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-12_12_35_05-5687932922082168038?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-12_12_35_05-5687932922082168038 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:35:07.396Z: 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:2023-08-12T19:35:10.381Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:35:12.448Z: 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:2023-08-12T19:35:12.470Z: 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:2023-08-12T19:35:12.514Z: JOB_MESSAGE_BASIC: Starting 75 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-12_12_35_05-5687932922082168038 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:35:41.205Z: 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:2023-08-12T19:35:58.271Z: JOB_MESSAGE_WARNING: Autoscaling: Startup of the **** pool in zone us-central1-b reached 72 ****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-08121235-4cp9-harness-h0cg' creation failed: Quota 'NVIDIA_T4_GPUS' exceeded. Limit: 48.0 in region us-central1.
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:36:07.986Z: 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-08121235-4cp9-harness-gnn2' creation failed: Quota 'NVIDIA_T4_GPUS' exceeded. Limit: 48.0 in region us-central1.
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:36:08.006Z: JOB_MESSAGE_ERROR: Workflow failed.
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:36:08.102Z: JOB_MESSAGE_WARNING: Unable to delete temp files: "gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/dax-tmp-2023-08-12_12_35_05-5687932922082168038-S04-0-eda16f75bedaefac/tmp-eda16f75bedae55b@DAX.sdfmeta."
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:36:08.110Z: JOB_MESSAGE_WARNING: Unable to delete temp files: "gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/dax-tmp-2023-08-12_12_35_05-5687932922082168038-S01-1-57316301b2c29ffc/tmp-57316301b2c291dd@DAX.recordio."
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:36:08.112Z: JOB_MESSAGE_WARNING: Unable to delete temp files: "gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python-gpu0812155050.1691868873.025917/dax-tmp-2023-08-12_12_35_05-5687932922082168038-S01-0-9115e0c3b46609d6/tmp-9115e0c3b46603fd@DAX.recordio."
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:36:08.122Z: 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.
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:36:08.135Z: 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:2023-08-12T19:36:08.144Z: 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
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:36:08.159Z: 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:2023-08-12T19:36:08.282Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T19:36:29.824Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-12_12_35_05-5687932922082168038 is in state JOB_STATE_FAILED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-12_12_35_05-5687932922082168038?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 765, 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 5m 56s
15 actionable tasks: 4 executed, 11 up-to-date
Publishing build scan...
https://ge.apache.org/s/5z3qsxducjve2
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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