See 
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/4667/display/redirect>

Changes:


------------------------------------------
[...truncated 11.01 MB...]
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:16 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@62a19a98{/,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:16 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@6c90b57a{/api,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:16 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@1920c6a4{/jobs/job/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:16 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@2731b6ad{/stages/stage/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:16 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@550654ec{/metrics/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:16 INFO 
org.apache.beam.runners.spark.metrics.MetricsAccumulator: Instantiated metrics 
accumulator: MetricQueryResults()
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:16 WARN 
software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to 
retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:16 INFO 
org.apache.beam.runners.spark.SparkPipelineRunner: Running job 
BeamApp-jenkins-1004083314-64336c0f_0aa16caf-108f-431f-b05b-6b22af26195b on 
Spark master local[4]
INFO:apache_beam.runners.worker.statecache:Creating state cache with size 0
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure control channel 
for localhost:39147.
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:23/10/04 08:33:18 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: Beam 
Fn Control client connected with id 1-1
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:18 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-2
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure state channel for 
localhost:46267.
INFO:apache_beam.runners.worker.sdk_worker:State channel established.
INFO:apache_beam.runners.worker.data_plane:Creating client data channel for 
localhost:40379
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:18 INFO 
org.apache.beam.runners.fnexecution.data.GrpcDataService: Beam Fn Data client 
connected.
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:18 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-3
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-4
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-5
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-7
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-9
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-8
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-6
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-10
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-13
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-11
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-12
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-14
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-15
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 INFO 
org.apache.beam.runners.spark.SparkPipelineRunner: Job 
BeamApp-jenkins-1004083314-64336c0f_0aa16caf-108f-431f-b05b-6b22af26195b: 
Pipeline translated successfully. Computing outputs
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:19 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:23/10/04 08:33:19 INFO 
org.apache.beam.runners.spark.SparkPipelineRunner: Job 
BeamApp-jenkins-1004083314-64336c0f_0aa16caf-108f-431f-b05b-6b22af26195b 
finished.
INFO:apache_beam.utils.subprocess_server:23/10/04 08:33:20 INFO 
org.sparkproject.jetty.server.AbstractConnector: Stopped 
Spark@3c8e7599{HTTP/1.1, (http/1.1)}{127.0.0.1:4040}
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
Exception in thread read_state:
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.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 1035, in pull_responses
    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
    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__
    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__
    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
    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:46267 {created_time:"2023-10-04T08:33:20.525109421+00:00", 
grpc_status:14, grpc_message:"Socket closed"}"
>
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 = "recvmsg:Connection reset by peer"
        debug_error_string = "UNKNOWN:Error received from peer 
ipv6:%5B::1%5D:40379 {created_time:"2023-10-04T08:33:20.525116009+00:00", 
grpc_status:14, grpc_message:"recvmsg:Connection reset by peer"}"
>
    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:39147 {grpc_message:"recvmsg:Connection reset by peer", 
grpc_status:14, created_time:"2023-10-04T08:33:20.525115991+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
    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/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 = "recvmsg:Connection reset by peer"
        debug_error_string = "UNKNOWN:Error received from peer 
ipv6:%5B::1%5D:40379 {created_time:"2023-10-04T08:33:20.525116009+00:00", 
grpc_status:14, grpc_message:"recvmsg:Connection reset by peer"}"
>

> Task :sdks:python:test-suites:dataflow:py38:initializeForDataflowJob
> Task :sdks:python:test-suites:dataflow:py38:vertexAIInferenceTest
ERROR: pip's dependency resolver does not currently take into account all the 
packages that are installed. This behaviour is the source of the following 
dependency conflicts.
azure-core 1.29.4 requires typing-extensions>=4.6.0, but you have 
typing-extensions 4.5.0 which is incompatible.
2023-10-04 08:34:04.722628: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.757055: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.762275: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.763492: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.771507: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.784897: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.785630: 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.
2023-10-04 08:34:04.816819: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.818615: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.819332: 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.
2023-10-04 08:34:04.823862: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.824256: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.824563: 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.
2023-10-04 08:34:04.824969: 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.
2023-10-04 08:34:04.833683: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.833990: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.834783: 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.
2023-10-04 08:34:04.881191: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.881940: 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.
2023-10-04 08:34:04.897437: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:04.898133: 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.
2023-10-04 08:34:04.980897: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:05.041913: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:34:05.042618: 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.
2023-10-04 08:34:05.825961: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:34:05.899577: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:34:05.911829: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:34:05.990466: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:34:06.001136: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:34:06.010737: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:34:06.112137: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:34:06.128114: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT

> Task :sdks:python:test-suites:dataflow:py38:inferencePostCommitIT

> Task :sdks:python:test-suites:dataflow:py38:postCommitIT
2023-10-04 08:56:48.465394: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.475892: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.549348: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.549348: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.550168: 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.
2023-10-04 08:56:48.550169: 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.
2023-10-04 08:56:48.660336: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.707406: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.729169: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.729908: 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.
2023-10-04 08:56:48.771057: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.771756: 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.
2023-10-04 08:56:48.840754: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.844853: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.902916: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.903485: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.904237: 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.
2023-10-04 08:56:48.910220: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.910914: 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.
2023-10-04 08:56:48.952381: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.967231: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:48.967956: 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.
2023-10-04 08:56:49.020488: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-10-04 08:56:49.021338: 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.
2023-10-04 08:56:49.638046: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:56:49.638926: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:56:49.874795: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:56:49.937544: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:56:50.051725: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:56:50.106676: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:56:50.179804: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-10-04 08:56:50.340972: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
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 completed with 2 failures.

1: Task failed with an exception.
-----------
* Where:
Script 
'<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/test-suites/direct/common.gradle'>
 line: 52

* What went wrong:
Execution failed for task ':sdks:python:test-suites:direct:py38:postCommitIT'.
> 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.
==============================================================================

2: Task failed with an exception.
-----------
* Where:
Script 
'<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/test-suites/portable/common.gradle'>
 line: 326

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:portable:py38:postCommitPy38IT'.
> 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 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

Execution optimizations have been disabled for 1 invalid unit(s) of work during 
this build to ensure correctness.
Please consult deprecation warnings for more details.

BUILD FAILED in 3h 31m 11s
221 actionable tasks: 154 executed, 61 from cache, 6 up-to-date

Publishing build scan...
https://ge.apache.org/s/dhyi2dgneun2c

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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