See
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/4690/display/redirect>
Changes:
------------------------------------------
[...truncated 11.35 MB...]
INFO:apache_beam.utils.subprocess_server:23/10/10 02:32:17 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-9
INFO:apache_beam.utils.subprocess_server:23/10/10 02:32:17 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-11
INFO:apache_beam.utils.subprocess_server:23/10/10 02:32:17 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-12
INFO:apache_beam.utils.subprocess_server:23/10/10 02:32:17 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-13
INFO:apache_beam.utils.subprocess_server:23/10/10 02:32:17 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-10
INFO:apache_beam.utils.subprocess_server:23/10/10 02:32:18 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-14
INFO:apache_beam.utils.subprocess_server:23/10/10 02:32:18 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-15
INFO:apache_beam.utils.subprocess_server:23/10/10 02:32:18 INFO
org.apache.beam.runners.spark.SparkPipelineRunner: Job
BeamApp-jenkins-1010023212-df68fd9d_347faf85-cc28-45f4-b3e4-95282df3fdda:
Pipeline translated successfully. Computing outputs
INFO:apache_beam.utils.subprocess_server:23/10/10 02:32:18 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:23/10/10 02:32:18 INFO
org.apache.beam.runners.spark.SparkPipelineRunner: Job
BeamApp-jenkins-1010023212-df68fd9d_347faf85-cc28-45f4-b3e4-95282df3fdda
finished.
INFO:apache_beam.utils.subprocess_server:23/10/10 02:32:18 INFO
org.sparkproject.jetty.server.AbstractConnector: Stopped
Spark@4d6cc072{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 read_state:
Traceback (most recent call last):
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
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
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:42863 {grpc_message:"Socket closed", grpc_status:14,
created_time:"2023-10-10T02:32:18.78914216+00:00"}"
>
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_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.run()
File "/usr/lib/python3.8/threading.py", line 870, 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__
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/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__
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
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:38019 {grpc_message:"Socket closed", grpc_status:14,
created_time:"2023-10-10T02:32:18.789145307+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 = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer
ipv6:%5B::1%5D:44743 {created_time:"2023-10-10T02:32:18.789142258+00:00",
grpc_status:14, grpc_message:"Socket closed"}"
>
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:42863 {grpc_message:"Socket closed", grpc_status:14,
created_time:"2023-10-10T02:32:18.78914216+00:00"}"
>
> Task :sdks:python:test-suites:portable:py38:postCommitPy38
> Task :sdks:python:test-suites:direct:py38:postCommitIT
[gw3] [32mPASSED[0m
apache_beam/io/gcp/bigquery_write_it_test.py::BigQueryWriteIntegrationTests::test_big_query_write_temp_table_append_schema_update_2
[33m=============================== warnings summary
===============================[0m
../../build/gradleenv/1398941892/lib/python3.8/site-packages/hdfs/config.py:28
../../build/gradleenv/1398941892/lib/python3.8/site-packages/hdfs/config.py:28
../../build/gradleenv/1398941892/lib/python3.8/site-packages/hdfs/config.py:28
../../build/gradleenv/1398941892/lib/python3.8/site-packages/hdfs/config.py:28
../../build/gradleenv/1398941892/lib/python3.8/site-packages/hdfs/config.py:28
../../build/gradleenv/1398941892/lib/python3.8/site-packages/hdfs/config.py:28
../../build/gradleenv/1398941892/lib/python3.8/site-packages/hdfs/config.py:28
../../build/gradleenv/1398941892/lib/python3.8/site-packages/hdfs/config.py:28
../../build/gradleenv/1398941892/lib/python3.8/site-packages/hdfs/config.py:28
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/1398941892/lib/python3.8/site-packages/hdfs/config.py>:28:
DeprecationWarning: the imp module is deprecated in favour of importlib; see
the module's documentation for alternative uses
from imp import load_source
apache_beam/io/gcp/bigquery_read_it_test.py::ReadTests::test_native_source
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery_read_it_test.py>:170:
BeamDeprecationWarning: BigQuerySource is deprecated since 2.25.0. Use
ReadFromBigQuery instead.
beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
apache_beam/io/gcp/datastore/v1new/datastore_write_it_test.py::DatastoreWriteIT::test_datastore_write_limit
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/datastore/v1new/datastoreio.py>:250:
UserWarning: Detected filter using positional arguments. Prefer using the
'filter' keyword argument instead.
query.add_filter('kind_name', '=', kind_name)
apache_beam/io/gcp/datastore/v1new/datastore_write_it_test.py::DatastoreWriteIT::test_datastore_write_limit
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/datastore/v1new/datastoreio.py>:251:
UserWarning: Detected filter using positional arguments. Prefer using the
'filter' keyword argument instead.
query.add_filter('timestamp', '=', latest_timestamp)
apache_beam/io/gcp/datastore/v1new/datastore_write_it_test.py::DatastoreWriteIT::test_datastore_write_limit
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/1398941892/lib/python3.8/site-packages/google/cloud/datastore/query.py>:234:
UserWarning: Detected filter using positional arguments. Prefer using the
'filter' keyword argument instead.
self.add_filter(property_name, operator, value)
apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery_read_it_test.py>:706:
BeamDeprecationWarning: BigQuerySource is deprecated since 2.25.0. Use
ReadFromBigQuery instead.
beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
-- 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_postCommitIT-direct-py38.xml>
-
[33m================= [32m38 passed[0m, [33m[1m14 warnings[0m[33m in
143.97s (0:02:23)[0m[33m ==================[0m
> 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.
2023-10-10 02:33:50.815967: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.816293: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.816332: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.826373: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.837143: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.879041: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.879040: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.879040: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.879786: 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.
2023-10-10 02:33:50.879787: 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.
2023-10-10 02:33:50.879787: 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.
2023-10-10 02:33:50.886220: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.888518: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.889216: 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.
2023-10-10 02:33:50.899588: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.900307: 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.
2023-10-10 02:33:50.950353: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:50.951064: 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.
2023-10-10 02:33:50.965970: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:51.030562: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:51.031317: 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.
2023-10-10 02:33:51.038334: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:51.102092: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:33:51.102905: 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.
2023-10-10 02:33:51.959706: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:33:52.017908: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:33:52.019915: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:33:52.044466: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:33:52.051599: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:33:52.055119: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:33:52.104615: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:33:52.214926: 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
2023-10-10 02:57:00.240867: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.294688: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.306354: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.307099: 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.
2023-10-10 02:57:00.347222: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.357940: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.358673: 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.
2023-10-10 02:57:00.411815: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.412521: 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.
2023-10-10 02:57:00.484244: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.547452: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.548193: 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.
2023-10-10 02:57:00.556599: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.619235: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.619961: 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.
2023-10-10 02:57:00.645940: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.709635: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.710382: 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.
2023-10-10 02:57:00.749871: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.794551: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.813013: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.813779: 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.
2023-10-10 02:57:00.857350: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-10 02:57:00.858043: 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.
2023-10-10 02:57:01.337112: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:57:01.386340: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:57:01.448686: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:57:01.719663: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:57:01.830050: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:57:01.931142: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:57:02.167459: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-10 02:57:02.217386: 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
> Task :sdks:python:test-suites:dataflow:py38:postCommitIT FAILED
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: 139
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow: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 1m 24s
221 actionable tasks: 157 executed, 60 from cache, 4 up-to-date
Publishing build scan...
https://ge.apache.org/s/gz3oqc7fsl3va
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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