See
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/4687/display/redirect>
Changes:
------------------------------------------
[...truncated 11.97 MB...]
INFO:apache_beam.utils.subprocess_server:23/10/09 08:32:59 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@2f55b7b5{/executors/threadDump/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/09 08:32:59 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@40628eeb{/static,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/09 08:32:59 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@7c3115d5{/,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/09 08:32:59 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@8a7a163{/api,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/09 08:32:59 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@5e0b68e5{/jobs/job/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/09 08:32:59 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@2edf049{/stages/stage/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/09 08:32:59 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@72b6989f{/metrics/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/09 08:32:59 INFO
org.apache.beam.runners.spark.metrics.MetricsAccumulator: Instantiated metrics
accumulator: MetricQueryResults()
INFO:apache_beam.utils.subprocess_server:23/10/09 08:32:59 WARN
software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to
retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:23/10/09 08:32:59 INFO
org.apache.beam.runners.spark.SparkPipelineRunner: Running job
BeamApp-jenkins-1009083257-2335a60e_a92afe0b-fd33-43df-a488-1ff2d769e7d0 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:44235.
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:23/10/09 08:33:01 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: Beam
Fn Control client connected with id 1-1
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:01 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:40623.
INFO:apache_beam.runners.worker.sdk_worker:State channel established.
INFO:apache_beam.runners.worker.data_plane:Creating client data channel for
localhost:36863
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:01 INFO
org.apache.beam.runners.fnexecution.data.GrpcDataService: Beam Fn Data client
connected.
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:01 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-3
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-4
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-5
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-6
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-8
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-9
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-7
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-10
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-11
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-12
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-13
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-14
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-15
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.apache.beam.runners.spark.SparkPipelineRunner: Job
BeamApp-jenkins-1009083257-2335a60e_a92afe0b-fd33-43df-a488-1ff2d769e7d0:
Pipeline translated successfully. Computing outputs
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 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:23/10/09 08:33:02 INFO
org.apache.beam.runners.spark.SparkPipelineRunner: Job
BeamApp-jenkins-1009083257-2335a60e_a92afe0b-fd33-43df-a488-1ff2d769e7d0
finished.
INFO:apache_beam.utils.subprocess_server:23/10/09 08:33:02 INFO
org.sparkproject.jetty.server.AbstractConnector: Stopped
Spark@1a6cd394{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 262, 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
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__
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__
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:40623 {grpc_message:"Socket closed", grpc_status:14,
created_time:"2023-10-09T08:33:03.412601205+00:00"}"
>
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:44235 {grpc_message:"recvmsg:Connection reset by peer",
grpc_status:14, created_time:"2023-10-09T08:33:03.412613943+00:00"}"
>
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:36863 {grpc_message:"Socket closed", grpc_status:14,
created_time:"2023-10-09T08:33:03.412587515+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 = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer
ipv6:%5B::1%5D:36863 {grpc_message:"Socket closed", grpc_status:14,
created_time:"2023-10-09T08:33:03.412587515+00:00"}"
>
> Task :sdks:python:test-suites:direct:py38:postCommitIT FAILED
> 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.
2023-10-09 08:34:24.366656: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.402833: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.440118: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.441047: 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.
2023-10-09 08:34:24.481618: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.482585: 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.
2023-10-09 08:34:24.510815: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.530868: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.566827: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.601191: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.602282: 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.
2023-10-09 08:34:24.608074: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.625573: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.626453: 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.
2023-10-09 08:34:24.638533: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.649468: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.659846: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.660725: 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.
2023-10-09 08:34:24.707455: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.708349: 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.
2023-10-09 08:34:24.715026: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.715750: 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.
2023-10-09 08:34:24.739313: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:34:24.740245: 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.
2023-10-09 08:34:25.716068: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:34:25.912816: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:34:25.997240: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:34:26.034273: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:34:26.036528: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:34:26.163082: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:34:26.661863: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:34:26.705708: 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
2023-10-09 08:56:37.200328: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.232943: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.315080: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.316145: 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.
2023-10-09 08:56:37.351077: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.352340: 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.
2023-10-09 08:56:37.580466: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.671122: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.672114: 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.
2023-10-09 08:56:37.715625: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.737158: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.817876: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.818740: 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.
2023-10-09 08:56:37.829181: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.830359: 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.
2023-10-09 08:56:37.840571: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.945085: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.947088: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:37.947712: 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.
2023-10-09 08:56:38.059272: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:38.060199: 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.
2023-10-09 08:56:38.383970: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:38.513428: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-09 08:56:38.514522: 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.
2023-10-09 08:56:39.067791: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:56:39.167641: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:56:39.573288: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:56:39.579966: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:56:39.881963: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:56:39.892154: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:56:40.010554: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-09 08:56:40.521254: 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/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.
==============================================================================
2: 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.
> 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 3h 11m 25s
215 actionable tasks: 153 executed, 58 from cache, 4 up-to-date
Publishing build scan...
https://ge.apache.org/s/xq3ukcjx6bioc
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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