You are viewing a plain text version of this content. The canonical link for it is here.
Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/10/06 18:20:00 UTC
Build failed in Jenkins: beam_Inference_Python_Benchmarks_Dataflow #389
See <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/389/display/redirect>
Changes:
------------------------------------------
[...truncated 69.30 KB...]
> Task :sdks:python:apache_beam:testing:load_tests:run
Collecting torch>=1.7.1 (from -r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Obtaining dependency information for torch>=1.7.1 from https://files.pythonhosted.org/packages/e1/24/f7fe3fe82583e6891cc3fceeb390f192f6c7f1d87e5a99a949ed33c96167/torch-2.1.0-cp38-cp38-manylinux1_x86_64.whl.metadata
Using cached torch-2.1.0-cp38-cp38-manylinux1_x86_64.whl.metadata (25 kB)
Collecting torchvision>=0.8.2 (from -r apache_beam/ml/inference/torch_tests_requirements.txt (line 19))
Obtaining dependency information for torchvision>=0.8.2 from https://files.pythonhosted.org/packages/c9/52/d3f1c4253ad17e4ab08a2230fb184a3a180e2348db6c144c64977335b654/torchvision-0.16.0-cp38-cp38-manylinux1_x86_64.whl.metadata
Using cached torchvision-0.16.0-cp38-cp38-manylinux1_x86_64.whl.metadata (6.6 kB)
Collecting pillow>=8.0.0 (from -r apache_beam/ml/inference/torch_tests_requirements.txt (line 20))
Obtaining dependency information for pillow>=8.0.0 from https://files.pythonhosted.org/packages/cd/6d/07566c00ddb116a0eca1a623abda12da81099a6ff3200e5e6b7e2d3c8c2b/Pillow-10.0.1-cp38-cp38-manylinux_2_28_x86_64.whl.metadata
Using cached Pillow-10.0.1-cp38-cp38-manylinux_2_28_x86_64.whl.metadata (9.5 kB)
Collecting transformers>=4.18.0 (from -r apache_beam/ml/inference/torch_tests_requirements.txt (line 21))
Obtaining dependency information for transformers>=4.18.0 from https://files.pythonhosted.org/packages/1a/d1/3bba59606141ae808017f6fde91453882f931957f125009417b87a281067/transformers-4.34.0-py3-none-any.whl.metadata
Using cached transformers-4.34.0-py3-none-any.whl.metadata (121 kB)
Requirement already satisfied: filelock in <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages> (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18)) (3.12.4)
Requirement already satisfied: typing-extensions in <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages> (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18)) (4.8.0)
Collecting sympy (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached sympy-1.12-py3-none-any.whl (5.7 MB)
Collecting networkx (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached networkx-3.1-py3-none-any.whl (2.1 MB)
Collecting jinja2 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached Jinja2-3.1.2-py3-none-any.whl (133 kB)
Collecting fsspec (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Obtaining dependency information for fsspec from https://files.pythonhosted.org/packages/fe/d3/e1aa96437d944fbb9cc95d0316e25583886e9cd9e6adc07baad943524eda/fsspec-2023.9.2-py3-none-any.whl.metadata
Using cached fsspec-2023.9.2-py3-none-any.whl.metadata (6.7 kB)
Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)
Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)
Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)
Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Obtaining dependency information for nvidia-cudnn-cu12==8.9.2.26 from https://files.pythonhosted.org/packages/ff/74/a2e2be7fb83aaedec84f391f082cf765dfb635e7caa9b49065f73e4835d8/nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata
Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cublas-cu12==12.1.3.1 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)
Collecting nvidia-cufft-cu12==11.0.2.54 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)
Collecting nvidia-curand-cu12==10.3.2.106 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)
Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)
Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)
Collecting nvidia-nccl-cu12==2.18.1 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl (209.8 MB)
Collecting nvidia-nvtx-cu12==12.1.105 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
Collecting triton==2.1.0 (from torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Obtaining dependency information for triton==2.1.0 from https://files.pythonhosted.org/packages/72/98/34f43ed68ee6455ea874f749a5515c0600243186301ecd83819d942ce08a/triton-2.1.0-0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata
Using cached triton-2.1.0-0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.3 kB)
Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Obtaining dependency information for nvidia-nvjitlink-cu12 from https://files.pythonhosted.org/packages/0a/f8/5193b57555cbeecfdb6ade643df0d4218cc6385485492b6e2f64ceae53bb/nvidia_nvjitlink_cu12-12.2.140-py3-none-manylinux1_x86_64.whl.metadata
Using cached nvidia_nvjitlink_cu12-12.2.140-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Requirement already satisfied: numpy in <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages> (from torchvision>=0.8.2->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 19)) (1.24.4)
Requirement already satisfied: requests in <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages> (from torchvision>=0.8.2->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 19)) (2.31.0)
Collecting huggingface-hub<1.0,>=0.16.4 (from transformers>=4.18.0->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 21))
Obtaining dependency information for huggingface-hub<1.0,>=0.16.4 from https://files.pythonhosted.org/packages/aa/f3/3fc97336a0e90516901befd4f500f08d691034d387406fdbde85bea827cc/huggingface_hub-0.17.3-py3-none-any.whl.metadata
Using cached huggingface_hub-0.17.3-py3-none-any.whl.metadata (13 kB)
Requirement already satisfied: packaging>=20.0 in <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages> (from transformers>=4.18.0->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 21)) (23.2)
Requirement already satisfied: pyyaml>=5.1 in <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages> (from transformers>=4.18.0->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 21)) (6.0.1)
Requirement already satisfied: regex!=2019.12.17 in <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages> (from transformers>=4.18.0->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 21)) (2023.10.3)
Collecting tokenizers<0.15,>=0.14 (from transformers>=4.18.0->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 21))
Obtaining dependency information for tokenizers<0.15,>=0.14 from https://files.pythonhosted.org/packages/76/ee/7e35fb46c728989357e6ccb96df64c4364601cfbfdd6c25ccc872e6c16a0/tokenizers-0.14.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
Downloading tokenizers-0.14.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB)
Collecting safetensors>=0.3.1 (from transformers>=4.18.0->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 21))
Obtaining dependency information for safetensors>=0.3.1 from https://files.pythonhosted.org/packages/7d/cb/878e746f52e3c55312c34d89a3a80f1b2db59f5293457a75cbc99c82a27a/safetensors-0.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
Using cached safetensors-0.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.8 kB)
Collecting tqdm>=4.27 (from transformers>=4.18.0->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 21))
Obtaining dependency information for tqdm>=4.27 from https://files.pythonhosted.org/packages/00/e5/f12a80907d0884e6dff9c16d0c0114d81b8cd07dc3ae54c5e962cc83037e/tqdm-4.66.1-py3-none-any.whl.metadata
Using cached tqdm-4.66.1-py3-none-any.whl.metadata (57 kB)
Collecting MarkupSafe>=2.0 (from jinja2->torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Obtaining dependency information for MarkupSafe>=2.0 from https://files.pythonhosted.org/packages/de/e2/32c14301bb023986dff527a49325b6259cab4ebb4633f69de54af312fc45/MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
Using cached MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.0 kB)
Requirement already satisfied: charset-normalizer<4,>=2 in <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages> (from requests->torchvision>=0.8.2->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 19)) (3.3.0)
Requirement already satisfied: idna<4,>=2.5 in <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages> (from requests->torchvision>=0.8.2->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 19)) (3.4)
Requirement already satisfied: urllib3<3,>=1.21.1 in <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages> (from requests->torchvision>=0.8.2->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 19)) (1.26.17)
Requirement already satisfied: certifi>=2017.4.17 in <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages> (from requests->torchvision>=0.8.2->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 19)) (2023.7.22)
Collecting mpmath>=0.19 (from sympy->torch>=1.7.1->-r apache_beam/ml/inference/torch_tests_requirements.txt (line 18))
Using cached mpmath-1.3.0-py3-none-any.whl (536 kB)
Using cached torch-2.1.0-cp38-cp38-manylinux1_x86_64.whl (670.2 MB)
Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)
Using cached triton-2.1.0-0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89.2 MB)
Using cached torchvision-0.16.0-cp38-cp38-manylinux1_x86_64.whl (6.9 MB)
Using cached Pillow-10.0.1-cp38-cp38-manylinux_2_28_x86_64.whl (3.6 MB)
Using cached transformers-4.34.0-py3-none-any.whl (7.7 MB)
Using cached huggingface_hub-0.17.3-py3-none-any.whl (295 kB)
Using cached safetensors-0.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)
Downloading tokenizers-0.14.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.8/3.8 MB 40.0 MB/s eta 0:00:00
Using cached tqdm-4.66.1-py3-none-any.whl (78 kB)
Using cached fsspec-2023.9.2-py3-none-any.whl (173 kB)
Using cached MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB)
Using cached nvidia_nvjitlink_cu12-12.2.140-py3-none-manylinux1_x86_64.whl (20.2 MB)
Installing collected packages: mpmath, triton, tqdm, sympy, safetensors, pillow, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, nvidia-cusparse-cu12, nvidia-cudnn-cu12, jinja2, huggingface-hub, tokenizers, nvidia-cusolver-cu12, transformers, torch, torchvision
Successfully installed MarkupSafe-2.1.3 fsspec-2023.9.2 huggingface-hub-0.17.3 jinja2-3.1.2 mpmath-1.3.0 networkx-3.1 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.18.1 nvidia-nvjitlink-cu12-12.2.140 nvidia-nvtx-cu12-12.1.105 pillow-10.0.1 safetensors-0.4.0 sympy-1.12 tokenizers-0.14.1 torch-2.1.0 torchvision-0.16.0 tqdm-4.66.1 transformers-4.34.0 triton-2.1.0
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/tmpllp3h75k/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-20230927
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230927" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f44f036b790> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f44f036bf70> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python1006155055.1696615281.723469/requirements.txt...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/seaborn-0.13.0-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-python1006155055.1696615281.723469/seaborn-0.13.0-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-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/transformers-4.34.0-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-python1006155055.1696615281.723469/transformers-4.34.0-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-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/torch-2.1.0-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-python1006155055.1696615281.723469/torch-2.1.0-cp38-cp38-manylinux1_x86_64.whl in 39 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python1006155055.1696615281.723469/torchvision-0.16.0-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-python1006155055.1696615281.723469/torchvision-0.16.0-cp38-cp38-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-python1006155055.1696615281.723469/Pillow-10.0.1-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-python1006155055.1696615281.723469/Pillow-10.0.1-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-python1006155055.1696615281.723469/matplotlib-3.8.0-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-python1006155055.1696615281.723469/matplotlib-3.8.0-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-python1006155055.1696615281.723469/matplotlib-3.8.0-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-python1006155055.1696615281.723469/matplotlib-3.8.0-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 gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/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 gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/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-python1006155055.1696615281.723469/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/benchmark-tests-pytorch-imagenet-python1006155055.1696615281.723469/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20231006180121724792-3169'
createTime: '2023-10-06T18:02:11.192459Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-10-06_11_02_09-16379463962354081468'
location: 'us-central1'
name: 'benchmark-tests-pytorch-imagenet-python1006155055'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-10-06T18:02:11.192459Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-06_11_02_09-16379463962354081468]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-06_11_02_09-16379463962354081468
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-06_11_02_09-16379463962354081468?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-06_11_02_09-16379463962354081468 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:02:11.609Z: 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:2023-10-06T18:02:15.093Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:02:17.697Z: JOB_MESSAGE_BASIC: Executing operation ReadImageNames/Read/Impulse+ReadImageNames/Read/EmitSource+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:2023-10-06T18:02:17.725Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse+WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda at core.py:3759>)+WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode)+WriteOutputToGCS/Write/WriteImpl/InitializeWrite
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:02:17.762Z: JOB_MESSAGE_BASIC: Starting 75 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-06_11_02_09-16379463962354081468 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:02:28.059Z: 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:2023-10-06T18:07:28.087Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:07:29.001Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/DoOnce/Impulse+WriteOutputToGCS/Write/WriteImpl/DoOnce/FlatMap(<lambda at core.py:3759>)+WriteOutputToGCS/Write/WriteImpl/DoOnce/Map(decode)+WriteOutputToGCS/Write/WriteImpl/InitializeWrite
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:07:29.076Z: JOB_MESSAGE_BASIC: Finished operation ReadImageNames/Read/Impulse+ReadImageNames/Read/EmitSource+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:2023-10-06T18:07:29.149Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/WriteBundles/View-python_side_input0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:07:29.168Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:07:29.191Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/PreFinalize/View-python_side_input0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:07:29.201Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/WriteBundles/View-python_side_input0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:07:29.211Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:07:29.212Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:07:29.236Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/PreFinalize/View-python_side_input0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:07:29.625Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:07:29.731Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/ProcessElementAndRestrictionWithSizing+FilterEmptyLines+PyTorchRunInference/BeamML_RunInference_Preprocess-0+PyTorchRunInference/BatchElements/ParDo(_GlobalWindowsBatchingDoFn)+PyTorchRunInference/BeamML_RunInference+PyTorchRunInference/BeamML_RunInference_Postprocess-0+WriteOutputToGCS/Write/WriteImpl/Map(<lambda at iobase.py:1144>)+WriteOutputToGCS/Write/WriteImpl/WindowInto(WindowIntoFn)+WriteOutputToGCS/Write/WriteImpl/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:02.236Z: JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_ReadImageNames-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/ProcessElementAndRestrictionWithSizing+FilterEmptyLines+PyTorchRunInference/BeamML_RunInference_Preprocess-0+PyTorchRunInference/BatchElements/ParDo(_GlobalWindowsBatchingDoFn)+PyTorchRunInference/BeamML_RunInference+PyTorchRunInference/BeamML_RunInference_Postprocess-0+WriteOutputToGCS/Write/WriteImpl/Map(<lambda at iobase.py:1144>)+WriteOutputToGCS/Write/WriteImpl/WindowInto(WindowIntoFn)+WriteOutputToGCS/Write/WriteImpl/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:02.319Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:02.369Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:02.408Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/GroupByKey/Read+WriteOutputToGCS/Write/WriteImpl/WriteBundles
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:04.498Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/GroupByKey/Read+WriteOutputToGCS/Write/WriteImpl/WriteBundles
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:04.576Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input1
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:04.597Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/PreFinalize/View-python_side_input1
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:04.626Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input1
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:04.642Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/PreFinalize/View-python_side_input1
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:04.717Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/PreFinalize
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:06.730Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/PreFinalize
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:06.823Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input2
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:06.875Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite/View-python_side_input2
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:06.959Z: JOB_MESSAGE_BASIC: Executing operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:10.006Z: JOB_MESSAGE_BASIC: Finished operation WriteOutputToGCS/Write/WriteImpl/FinalizeWrite
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:17:10.246Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-06T18:19:44.009Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-06_11_02_09-16379463962354081468 is in state JOB_STATE_DONE
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: 8c9c8235761f49498356e77afbc88792 and timestamp: 1696616397.2755527:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_num_inferences Value: 50000
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_count_inference_request_batch_byte_size Value: 4936
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_max_inference_request_batch_byte_size Value: 3887
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_min_inference_request_batch_byte_size Value: 102
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_sum_inference_request_batch_byte_size Value: 4473695
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_mean_inference_request_batch_byte_size Value: 906
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_count_inference_request_batch_size Value: 4936
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_max_inference_request_batch_size Value: 44
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_min_inference_request_batch_size Value: 1
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_sum_inference_request_batch_size Value: 50000
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_mean_inference_request_batch_size Value: 10
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_count_inference_batch_latency_micro_secs Value: 4936
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_max_inference_batch_latency_micro_secs Value: 26304316
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_min_inference_batch_latency_micro_secs Value: 279063
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_sum_inference_batch_latency_micro_secs Value: 21988470806
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_mean_inference_batch_latency_micro_secs Value: 4454714
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_count_load_model_latency_milli_secs Value: 150
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_max_load_model_latency_milli_secs Value: 118086
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_min_load_model_latency_milli_secs Value: 67677
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_sum_load_model_latency_milli_secs Value: 12038220
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_mean_load_model_latency_milli_secs Value: 80254
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_count_model_byte_size Value: 150
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_max_model_byte_size Value: 434606080
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_min_model_byte_size Value: 431362048
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_sum_model_byte_size Value: 65080098816
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: BeamML_PyTorch_pytorchruninference/beamml_runinference_mean_model_byte_size Value: 433867325
> 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: 62
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> Could not get unknown property 'execResult' for task ':sdks:python:apache_beam:testing:load_tests:run' of type org.gradle.api.tasks.Exec.
* 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 9.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
For more on this, please refer to https://docs.gradle.org/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.
BUILD FAILED in 23m 29s
9 actionable tasks: 8 executed, 1 from cache
Publishing build scan...
https://ge.apache.org/s/gngp7usubt6cm
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Jenkins build is back to normal : beam_Inference_Python_Benchmarks_Dataflow #391
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/391/display/redirect>
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_Inference_Python_Benchmarks_Dataflow #390
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_Inference_Python_Benchmarks_Dataflow/390/display/redirect>
Changes:
------------------------------------------
[...truncated 616.73 KB...]
Traceback (most recent call last):
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py", line 297, in _execute
response = task()
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py", line 372, in <lambda>
lambda: self.create_****().do_instruction(request), request)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py", line 625, in do_instruction
return getattr(self, request_type)(
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py", line 663, in process_bundle
bundle_processor.process_bundle(instruction_id))
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/bundle_processor.py", line 1051, in process_bundle
input_op_by_transform_id[element.transform_id].process_encoded(
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/bundle_processor.py", line 232, in process_encoded
self.output(decoded_value)
File "apache_beam/runners/****/operations.py", line 570, in apache_beam.runners.****.operations.Operation.output
File "apache_beam/runners/****/operations.py", line 572, in apache_beam.runners.****.operations.Operation.output
File "apache_beam/runners/****/operations.py", line 263, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 266, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 1067, in apache_beam.runners.****.operations.SdfProcessSizedElements.process
File "apache_beam/runners/****/operations.py", line 1076, in apache_beam.runners.****.operations.SdfProcessSizedElements.process
File "apache_beam/runners/common.py", line 1465, in apache_beam.runners.common.DoFnRunner.process_with_sized_restriction
File "apache_beam/runners/common.py", line 830, in apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 994, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File "apache_beam/runners/common.py", line 1619, in apache_beam.runners.common._OutputHandler.handle_process_outputs
File "apache_beam/runners/common.py", line 1732, in apache_beam.runners.common._OutputHandler._write_value_to_tag
File "apache_beam/runners/****/operations.py", line 266, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 953, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/****/operations.py", line 954, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1436, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1524, in apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1434, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 636, in apache_beam.runners.common.SimpleInvoker.invoke_process
File "apache_beam/runners/common.py", line 1619, in apache_beam.runners.common._OutputHandler.handle_process_outputs
File "apache_beam/runners/common.py", line 1732, in apache_beam.runners.common._OutputHandler._write_value_to_tag
File "apache_beam/runners/****/operations.py", line 266, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 953, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/****/operations.py", line 954, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1436, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1524, in apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1434, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 636, in apache_beam.runners.common.SimpleInvoker.invoke_process
File "apache_beam/runners/common.py", line 1619, in apache_beam.runners.common._OutputHandler.handle_process_outputs
File "apache_beam/runners/common.py", line 1732, in apache_beam.runners.common._OutputHandler._write_value_to_tag
File "apache_beam/runners/****/operations.py", line 266, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 953, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/****/operations.py", line 954, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1436, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1524, in apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1434, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 636, in apache_beam.runners.common.SimpleInvoker.invoke_process
File "apache_beam/runners/common.py", line 1619, in apache_beam.runners.common._OutputHandler.handle_process_outputs
File "apache_beam/runners/common.py", line 1732, in apache_beam.runners.common._OutputHandler._write_value_to_tag
File "apache_beam/runners/****/operations.py", line 266, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 953, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/****/operations.py", line 954, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1436, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1545, in apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1434, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 850, in apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 996, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 1417, in process
return self._run_inference(batch, inference_args)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 1390, in _run_inference
raise e
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 1385, in _run_inference
result_generator = self._model_handler.run_inference(
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 959, in run_inference
return self._base.run_inference(batch, model, inference_args)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 903, in run_inference
return self._base.run_inference(batch, model, inference_args)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 587, in run_inference
self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py", line 318, in run_inference
return self._inference_fn(
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py", line 151, in default_tensor_inference_fn
batched_tensors = _convert_to_device(batched_tensors, device)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py", line 136, in _convert_to_device
examples = examples.to(device)
RuntimeError: CUDA error: misaligned address
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
[while running 'PyTorchRunInference/BeamML_RunInference-ptransform-73']
Worker ID: benchmark-tests-pytorch-i-10071233-06e6-harness-f98h
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-07T20:00:57.451Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-07T20:03:19.519Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-07_12_33_28-4632094314305837827 is in state JOB_STATE_FAILED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-10-07_12_33_28-4632094314305837827?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 771, in wait_until_finish
raise DataflowRuntimeException(
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error:
Traceback (most recent call last):
File "apache_beam/runners/common.py", line 1434, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 850, in apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 996, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 1417, in process
return self._run_inference(batch, inference_args)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 1390, in _run_inference
raise e
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 1385, in _run_inference
result_generator = self._model_handler.run_inference(
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 959, in run_inference
return self._base.run_inference(batch, model, inference_args)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 903, in run_inference
return self._base.run_inference(batch, model, inference_args)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 587, in run_inference
self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py", line 318, in run_inference
return self._inference_fn(
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py", line 151, in default_tensor_inference_fn
batched_tensors = _convert_to_device(batched_tensors, device)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py", line 136, in _convert_to_device
examples = examples.to(device)
RuntimeError: CUDA error: misaligned address
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py", line 297, in _execute
response = task()
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py", line 372, in <lambda>
lambda: self.create_****().do_instruction(request), request)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py", line 625, in do_instruction
return getattr(self, request_type)(
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/sdk_****.py", line 663, in process_bundle
bundle_processor.process_bundle(instruction_id))
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/bundle_processor.py", line 1051, in process_bundle
input_op_by_transform_id[element.transform_id].process_encoded(
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/runners/****/bundle_processor.py", line 232, in process_encoded
self.output(decoded_value)
File "apache_beam/runners/****/operations.py", line 570, in apache_beam.runners.****.operations.Operation.output
File "apache_beam/runners/****/operations.py", line 572, in apache_beam.runners.****.operations.Operation.output
File "apache_beam/runners/****/operations.py", line 263, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 266, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 1067, in apache_beam.runners.****.operations.SdfProcessSizedElements.process
File "apache_beam/runners/****/operations.py", line 1076, in apache_beam.runners.****.operations.SdfProcessSizedElements.process
File "apache_beam/runners/common.py", line 1465, in apache_beam.runners.common.DoFnRunner.process_with_sized_restriction
File "apache_beam/runners/common.py", line 830, in apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 994, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File "apache_beam/runners/common.py", line 1619, in apache_beam.runners.common._OutputHandler.handle_process_outputs
File "apache_beam/runners/common.py", line 1732, in apache_beam.runners.common._OutputHandler._write_value_to_tag
File "apache_beam/runners/****/operations.py", line 266, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 953, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/****/operations.py", line 954, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1436, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1524, in apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1434, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 636, in apache_beam.runners.common.SimpleInvoker.invoke_process
File "apache_beam/runners/common.py", line 1619, in apache_beam.runners.common._OutputHandler.handle_process_outputs
File "apache_beam/runners/common.py", line 1732, in apache_beam.runners.common._OutputHandler._write_value_to_tag
File "apache_beam/runners/****/operations.py", line 266, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 953, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/****/operations.py", line 954, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1436, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1524, in apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1434, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 636, in apache_beam.runners.common.SimpleInvoker.invoke_process
File "apache_beam/runners/common.py", line 1619, in apache_beam.runners.common._OutputHandler.handle_process_outputs
File "apache_beam/runners/common.py", line 1732, in apache_beam.runners.common._OutputHandler._write_value_to_tag
File "apache_beam/runners/****/operations.py", line 266, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 953, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/****/operations.py", line 954, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1436, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1524, in apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1434, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 636, in apache_beam.runners.common.SimpleInvoker.invoke_process
File "apache_beam/runners/common.py", line 1619, in apache_beam.runners.common._OutputHandler.handle_process_outputs
File "apache_beam/runners/common.py", line 1732, in apache_beam.runners.common._OutputHandler._write_value_to_tag
File "apache_beam/runners/****/operations.py", line 266, in apache_beam.runners.****.operations.SingletonElementConsumerSet.receive
File "apache_beam/runners/****/operations.py", line 953, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/****/operations.py", line 954, in apache_beam.runners.****.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1436, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1545, in apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1434, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 850, in apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 996, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 1417, in process
return self._run_inference(batch, inference_args)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 1390, in _run_inference
raise e
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 1385, in _run_inference
result_generator = self._model_handler.run_inference(
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 959, in run_inference
return self._base.run_inference(batch, model, inference_args)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 903, in run_inference
return self._base.run_inference(batch, model, inference_args)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 587, in run_inference
self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py", line 318, in run_inference
return self._inference_fn(
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py", line 151, in default_tensor_inference_fn
batched_tensors = _convert_to_device(batched_tensors, device)
File "/opt/apache/beam-venv/beam-venv-****-sdk-0-0/lib/python3.8/site-packages/apache_beam/ml/inference/pytorch_inference.py", line 136, in _convert_to_device
examples = examples.to(device)
RuntimeError: CUDA error: misaligned address
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
[while running 'PyTorchRunInference/BeamML_RunInference-ptransform-73']
> 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 9.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
For more on this, please refer to https://docs.gradle.org/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.
BUILD FAILED in 35m 6s
9 actionable tasks: 4 executed, 5 up-to-date
Publishing build scan...
https://ge.apache.org/s/n5cdoenzi4o5e
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org