See
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/4749/display/redirect>
Changes:
------------------------------------------
[...truncated 9.16 MB...]
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:12 INFO
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job_14368fba-4464-47f5-9519-b69fc3f0c4b8.ref_Environment_default_environment_1.
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INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:17 INFO
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BeamApp-jenkins-1024204517-b56085a3_5b5528da-d1f2-421c-a803-6950d663b61b
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:18 INFO
org.apache.beam.runners.jobsubmission.JobInvocation: Starting job invocation
BeamApp-jenkins-1024204517-b56085a3_5b5528da-d1f2-421c-a803-6950d663b61b
INFO:apache_beam.runners.portability.portable_runner:Environment "LOOPBACK" has
started a component necessary for the execution. Be sure to run the pipeline
using
with Pipeline() as p:
p.apply(..)
This ensures that the pipeline finishes before this program exits.
INFO:apache_beam.runners.portability.portable_runner:Job state changed to
STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to
STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to
RUNNING
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:18 INFO
org.apache.beam.runners.spark.translation.SparkContextFactory: Creating a brand
new Spark Context.
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:20 WARN
org.apache.hadoop.util.NativeCodeLoader: Unable to load native-hadoop library
for your platform... using builtin-java classes where applicable
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:22 INFO
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org.sparkproject.jetty.util.log.Slf4jLog
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:22 INFO
org.sparkproject.jetty.server.Server: jetty-9.4.44.v20210927; built:
2021-09-27T23:02:44.612Z; git: 8da83308eeca865e495e53ef315a249d63ba9332; jvm
1.8.0_382-8u382-ga-1~20.04.1-b05
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:22 INFO
org.sparkproject.jetty.server.Server: Started @16677ms
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:22 WARN
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Attempting port 4041.
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:22 INFO
org.sparkproject.jetty.server.AbstractConnector: Started
ServerConnector@7ed579a6{HTTP/1.1, (http/1.1)}{127.0.0.1:4041}
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:22 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@3c628c4e{/jobs,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@5ec0fce4{/jobs/json,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@5c848a4a{/jobs/job,null,AVAILABLE,@Spark}
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org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@2f426fed{/jobs/job/json,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@35e8ea97{/stages,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@45928b74{/stages/json,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@3b06567{/stages/stage,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@3366caaa{/stages/stage/json,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@251d9f80{/stages/pool,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@7b5af543{/stages/pool/json,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@220bb467{/storage,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@12baf849{/storage/json,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@5440ea73{/storage/rdd/json,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@39d1cbda{/environment/json,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@13d8e4c3{/executors,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@43aa2e8d{/executors/json,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@1aec1afe{/executors/threadDump/json,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@5cd91c88{/jobs/job/kill,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@11e61044{/stages/stage/kill,null,AVAILABLE,@Spark}
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o.s.j.s.ServletContextHandler@3d45e2f6{/metrics/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:23 INFO
org.apache.beam.runners.spark.metrics.MetricsAccumulator: Instantiated metrics
accumulator: MetricQueryResults()
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:23 WARN
software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to
retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:23 INFO
org.apache.beam.runners.spark.SparkPipelineRunner: Running job
BeamApp-jenkins-1024204517-b56085a3_5b5528da-d1f2-421c-a803-6950d663b61b on
Spark master local[4]
INFO:apache_beam.runners.worker.statecache:Creating state cache with size
104857600
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure control channel
for localhost:35237.
INFO:apache_beam.runners.worker.sdk_worker:Control channel established.
INFO:apache_beam.runners.worker.sdk_worker:Initializing SDKHarness with
unbounded number of workers.
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:26 INFO
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Fn Control client connected with id 1-1
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:26 INFO
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getProcessBundleDescriptor request with id 1-2
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure state channel for
localhost:33673.
INFO:apache_beam.runners.worker.sdk_worker:State channel established.
INFO:apache_beam.runners.worker.data_plane:Creating client data channel for
localhost:43195
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:26 INFO
org.apache.beam.runners.fnexecution.data.GrpcDataService: Beam Fn Data client
connected.
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:26 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-3
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:26 INFO
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getProcessBundleDescriptor request with id 1-4
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getProcessBundleDescriptor request with id 1-5
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org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-6
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:27 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-7
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:27 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-9
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:27 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-8
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:27 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-10
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:27 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-13
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:27 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-11
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:27 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-12
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:27 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-14
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:27 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-15
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:27 INFO
org.apache.beam.runners.spark.SparkPipelineRunner: Job
BeamApp-jenkins-1024204517-b56085a3_5b5528da-d1f2-421c-a803-6950d663b61b:
Pipeline translated successfully. Computing outputs
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:27 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-16
INFO:apache_beam.io.filebasedsink:Starting finalize_write threads with
num_shards: 4 (skipped: 0), batches: 4, num_threads: 4
INFO:apache_beam.io.filebasedsink:Renamed 4 shards in 0.01 seconds.
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:28 INFO
org.apache.beam.runners.spark.SparkPipelineRunner: Job
BeamApp-jenkins-1024204517-b56085a3_5b5528da-d1f2-421c-a803-6950d663b61b
finished.
INFO:apache_beam.utils.subprocess_server:23/10/24 20:45:28 INFO
org.sparkproject.jetty.server.AbstractConnector: Stopped
Spark@7ed579a6{HTTP/1.1, (http/1.1)}{127.0.0.1:4041}
INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE
Exception in thread run_worker_1-1:
Traceback (most recent call last):
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/usr/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py";,>
line 262, in run
Exception in thread read_state:
Traceback (most recent call last):
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
for work_request in self._control_stub.Control(get_responses()):
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 541, in __next__
self.run()
File "/usr/lib/python3.8/threading.py", line 870, in run
return self._next()
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 967, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that
terminated with:
status = StatusCode.UNAVAILABLE
details = "recvmsg:Connection reset by peer"
debug_error_string = "UNKNOWN:Error received from peer
ipv6:%5B::1%5D:35237 {created_time:"2023-10-24T20:45:28.537125679+00:00",
grpc_status:14, grpc_message:"recvmsg:Connection reset by peer"}"
>
self._target(*self._args, **self._kwargs)
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py";,>
line 1035, in pull_responses
for response in responses:
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 541, in __next__
ERROR:apache_beam.runners.worker.data_plane:Failed to read inputs in the data
plane.
Traceback (most recent call last):
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py";,>
line 652, in _read_inputs
for elements in elements_iterator:
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 541, in __next__
return self._next()
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 967, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that
terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer
ipv6:%5B::1%5D:43195 {grpc_message:"Socket closed", grpc_status:14,
created_time:"2023-10-24T20:45:28.537102156+00:00"}"
>
Exception in thread read_grpc_client_inputs:
Traceback (most recent call last):
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
return self._next()
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 967, in _next
self.run()
File "/usr/lib/python3.8/threading.py", line 870, in run
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that
terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer
ipv6:%5B::1%5D:33673 {created_time:"2023-10-24T20:45:28.537125984+00:00",
grpc_status:14, grpc_message:"Socket closed"}"
>
self._target(*self._args, **self._kwargs)
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py";,>
line 669, in <lambda>
target=lambda: self._read_inputs(elements_iterator),
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py";,>
line 652, in _read_inputs
for elements in elements_iterator:
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 541, in __next__
return self._next()
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 967, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that
terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer
ipv6:%5B::1%5D:43195 {grpc_message:"Socket closed", grpc_status:14,
created_time:"2023-10-24T20:45:28.537102156+00:00"}"
>
> Task :sdks:python:test-suites:portable:py38:postCommitPy38
> Task :sdks:python:test-suites:dataflow:py38:vertexAIInferenceTest
[gw0] [32mPASSED[0m
apache_beam/ml/inference/vertex_ai_inference_it_test.py::VertexAIInference::test_vertex_ai_run_flower_image_classification
[33m=============================== warnings summary
===============================[0m
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/ml/inference/vertex_ai_inference_it_test.py>:68:
PytestUnknownMarkWarning: Unknown pytest.mark.uses_vertex_ai - is this a typo?
You can register custom marks to avoid this warning - for details, see
https://docs.pytest.org/en/stable/how-to/mark.html
@pytest.mark.uses_vertex_ai
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file:
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/pytest_VertexAITests-df-py-py38.xml>
-
[33m============ [32m1 passed[0m, [33m[1m16 skipped[0m, [33m[1m8
warnings[0m[33m in 1390.19s (0:23:10)[0m[33m ============[0m
> Task :sdks:python:test-suites:dataflow:py38:postCommitIT
2023-10-24 20:46:17.155284: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.218002: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.218690: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-24 20:46:17.301537: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.306714: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.362641: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.363322: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-24 20:46:17.366709: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.367358: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-24 20:46:17.370439: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.437734: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.438437: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-24 20:46:17.468846: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.533629: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.534429: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-24 20:46:17.625688: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.687550: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.688304: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-24 20:46:17.740829: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.801805: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.802493: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-24 20:46:17.825849: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.887283: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-24 20:46:17.888051: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-24 20:46:18.221157: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-24 20:46:18.441456: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-24 20:46:18.520498: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-24 20:46:18.624860: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-24 20:46:18.722557: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-24 20:46:18.969278: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-24 20:46:19.122452: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-24 20:46:19.376347: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/-1734967051/bin/python3.8>:
No module named build
warning: sdist: standard file not found: should have one of README, README.rst,
README.txt, README.md
warning: check: missing required meta-data: url
warning: check: missing meta-data: either (author and author_email) or
(maintainer and maintainer_email) must be supplied
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 420
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py38:tensorRTtests'.
> Process 'command 'sh'' finished with non-zero exit value 1
* 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/8.4/userguide/command_line_interface.html#sec:command_line_warnings
in the Gradle documentation.
BUILD FAILED in 2h 54m 49s
221 actionable tasks: 163 executed, 54 from cache, 4 up-to-date
Publishing build scan...
https://ge.apache.org/s/ylrxs6vs5c4wo
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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