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Using cached
safetensors-0.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3
MB)
Using cached tqdm-4.66.1-py3-none-any.whl (78 kB)
Using cached
MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25
kB)
Using cached
cmake-3.27.2-py2.py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (26.1
MB)
Using cached fsspec-2023.9.0-py3-none-any.whl (173 kB)
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-2023.9.0
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-0.3.3 sympy-1.12 tokenizers-0.13.3 torch-2.0.1
torchvision-0.15.2 tqdm-4.66.1 transformers-4.33.0 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/tmpnanz2m9f/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:====================
<function pack_combiners at 0x7f4f97667a60> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
<function sort_stages at 0x7f4f97665280> ====================
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in 31 seconds.
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in 2 seconds.
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in 1 seconds.
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in 1 seconds.
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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.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230905185106332703-2306'
createTime: '2023-09-05T18:51:51.210172Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-05_11_51_48-4682780209354120771'
location: 'us-central1'
name: 'benchmark-tests-pytorch-imagenet-python0905155102'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-05T18:51:51.210172Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2023-09-05_11_51_48-4682780209354120771]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2023-09-05_11_51_48-4682780209354120771
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-05_11_51_48-4682780209354120771?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2023-09-05_11_51_48-4682780209354120771 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-05T18:51:51.689Z:
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:2023-09-05T18:51:55.650Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-b.
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-09-05T18:51:56.818Z:
JOB_MESSAGE_ERROR: Workflow failed. Causes: Project apache-beam-testing has
insufficient quota(s) to execute this workflow with 1 instances in region
us-central1. Quota summary (required/available): 1/38771 instances, 2/973 CPUs,
${required_gpu}/${available_gpu} ${gpu_quota_kind}, 50/316554 disk GB, 0/2219
SSD disk GB, 1/228 instance groups, 1/238 managed instance groups, 1/394
instance templates, 1/0 in-use IP addresses.
Please see https://cloud.google.com/compute/docs/resource-quotas about
requesting more quota.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-05T18:51:56.894Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-05T18:52:00.290Z:
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
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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting
indefinitely. Console URL:
https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-05_11_51_48-4682780209354120771?project=<ProjectId>
> 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 44s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/rtuygdk3ega4y
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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