See <https://ci-beam.apache.org/job/beam_PostCommit_Python38/4759/display/redirect?page=changes>
Changes: [noreply] [YAML] Kafka Read Provider (#28865) ------------------------------------------ [...truncated 9.27 MB...] seconds: 1698396332 nanos: 519062519 } message: "Python sdk harness exiting." log_location: "/usr/local/lib/python3.8/site-packages/apache_beam/runners/worker/sdk_worker_main.py:211" thread: "MainThread" f654129276cbd573f70389a37c547ded7ac7eb6dfb569e51a49d63b0f64d856b INFO:apache_beam.runners.portability.local_job_service:Completed job in 31.431843757629395 seconds with state DONE. INFO:root:Completed job in 31.431843757629395 seconds with state DONE. INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE > Task :sdks:python:test-suites:portable:py38:portableWordCountSparkRunnerBatch INFO:apache_beam.runners.worker.worker_pool_main:Listening for workers at localhost:44859 INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f097899c550> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function lift_combiners at 0x7f097899c5e0> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f097899cd30> ==================== INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/runners/spark/3/job-server/build/libs/beam-runners-spark-3-job-server-2.52.0-SNAPSHOT.jar'> '--spark-master-url' 'local[4]' '--artifacts-dir' '/tmp/beam-tempiykqe_ly/artifactsvvj5i_27' '--job-port' '44507' '--artifact-port' '0' '--expansion-port' '0'] INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:46 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata. INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:47 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: ArtifactStagingService started on localhost:35481 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:47 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Java ExpansionService started on localhost:43645 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:47 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: JobService started on localhost:44507 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:47 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Job server now running, terminate with Ctrl+C WARNING:root:Waiting for grpc channel to be ready at localhost:44507. INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:50 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Staging artifacts for job_a122a80a-a555-4b5b-b0ed-d16f1bf8a46b. INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:50 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Resolving artifacts for job_a122a80a-a555-4b5b-b0ed-d16f1bf8a46b.ref_Environment_default_environment_1. INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:50 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Getting 1 artifacts for job_a122a80a-a555-4b5b-b0ed-d16f1bf8a46b.null. INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:50 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Artifacts fully staged for job_a122a80a-a555-4b5b-b0ed-d16f1bf8a46b. INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:50 INFO org.apache.beam.runners.spark.SparkJobInvoker: Invoking job BeamApp-jenkins-1027084550-6a109eff_62ca466e-06be-4aaf-ad0c-14fd8692076d INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:51 INFO org.apache.beam.runners.jobsubmission.JobInvocation: Starting job invocation BeamApp-jenkins-1027084550-6a109eff_62ca466e-06be-4aaf-ad0c-14fd8692076d 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:23/10/27 08:45:51 INFO org.apache.beam.runners.spark.translation.SparkContextFactory: Creating a brand new Spark Context. INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:51 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:23/10/27 08:45:52 INFO org.sparkproject.jetty.util.log: Logging initialized @7879ms to org.sparkproject.jetty.util.log.Slf4jLog INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 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:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.Server: Started @7982ms INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.AbstractConnector: Started ServerConnector@6b7839ad{HTTP/1.1, (http/1.1)}{127.0.0.1:4040} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5d4ab5b2{/jobs,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3fcdb47f{/jobs/json,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@72e80b1e{/jobs/job,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@314ef900{/jobs/job/json,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5ad89f56{/stages,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@76a5c84b{/stages/json,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@e95e7eb{/stages/stage,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@35e69994{/stages/stage/json,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@16d7c4df{/stages/pool,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6f9b21d5{/stages/pool/json,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@28300a3f{/storage,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@71318966{/storage/json,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@17610b76{/storage/rdd,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@394973c9{/storage/rdd/json,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5dc540c0{/environment,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1edb605a{/environment/json,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2d0180c7{/executors,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@70f2342e{/executors/json,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@23d3e080{/executors/threadDump,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@513d97e{/executors/threadDump/json,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@11d8a4fc{/static,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7749ae3e{/,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5c9a20e8{/api,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2d2eb9de{/jobs/job/kill,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:52 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3b60d43c{/stages/stage/kill,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:53 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2b128ee7{/metrics/json,null,AVAILABLE,@Spark} INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:53 INFO org.apache.beam.runners.spark.metrics.MetricsAccumulator: Instantiated metrics accumulator: MetricQueryResults() INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:53 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata. INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:53 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Running job BeamApp-jenkins-1027084550-6a109eff_62ca466e-06be-4aaf-ad0c-14fd8692076d 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:32923. 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:23/10/27 08:45:55 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: Beam Fn Control client connected with id 1-1 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:55 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:38237. INFO:apache_beam.runners.worker.sdk_worker:State channel established. INFO:apache_beam.runners.worker.data_plane:Creating client data channel for localhost:37421 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:55 INFO org.apache.beam.runners.fnexecution.data.GrpcDataService: Beam Fn Data client connected. INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:55 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-3 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:55 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-4 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-5 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-6 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-7 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-8 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-9 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-10 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-11 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-12 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-13 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-14 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-15 INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Job BeamApp-jenkins-1027084550-6a109eff_62ca466e-06be-4aaf-ad0c-14fd8692076d: Pipeline translated successfully. Computing outputs INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 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:23/10/27 08:45:56 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Job BeamApp-jenkins-1027084550-6a109eff_62ca466e-06be-4aaf-ad0c-14fd8692076d finished. INFO:apache_beam.utils.subprocess_server:23/10/27 08:45:56 INFO org.sparkproject.jetty.server.AbstractConnector: Stopped Spark@6b7839ad{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 self.run() File "/usr/lib/python3.8/threading.py", line 870, in run 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 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:32923 {grpc_message:"Socket closed", grpc_status:14, created_time:"2023-10-27T08:45:57.353808692+00:00"}" > 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:38237 {grpc_message:"Socket closed", grpc_status:14, created_time:"2023-10-27T08:45:57.353760207+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 = "recvmsg:Connection reset by peer" debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:37421 {grpc_message:"recvmsg:Connection reset by peer", grpc_status:14, created_time:"2023-10-27T08:45:57.353760203+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:37421 {grpc_message:"recvmsg:Connection reset by peer", grpc_status:14, created_time:"2023-10-27T08:45:57.353760203+00:00"}" > > Task :sdks:python:test-suites:portable:py38:postCommitPy38 > Task :sdks:python:test-suites:dataflow:py38:vertexAIInferenceTest FAILED > Task :sdks:python:test-suites:dataflow:py38:postCommitIT 2023-10-27 08:46:50.885946: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:50.940397: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:50.951720: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:50.952454: 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. 2023-10-27 08:46:51.003974: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.004775: 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. 2023-10-27 08:46:51.046916: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.112875: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.113638: 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. 2023-10-27 08:46:51.136636: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.199928: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.200647: 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. 2023-10-27 08:46:51.244084: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.308529: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.309244: 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. 2023-10-27 08:46:51.336971: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.393360: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.400450: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.401201: 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. 2023-10-27 08:46:51.457286: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.458026: 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. 2023-10-27 08:46:51.584700: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.648441: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-10-27 08:46:51.649154: 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. 2023-10-27 08:46:52.004042: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2023-10-27 08:46:52.059331: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2023-10-27 08:46:52.226122: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2023-10-27 08:46:52.406064: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2023-10-27 08:46:52.507595: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2023-10-27 08:46:52.753993: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2023-10-27 08:46:52.771197: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2023-10-27 08:46:53.060150: 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: 448 * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py38:vertexAIInferenceTest'. > 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 3h 23m 2s 221 actionable tasks: 159 executed, 58 from cache, 4 up-to-date Publishing build scan... https://ge.apache.org/s/it25npmelnxhc Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
