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Created August 11, 2020 07:34
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Worker node logs in Spark cluster of 2 nodes
Raw
stderr
Spark Executor Command: "/usr/lib/jvm/java-1.8.0-openjdk-amd64/bin/java" "-cp" "/home/node/spark/conf/:/home/node/spark/jars/*:/home/node/hadoop3.1.1/etc/hadoop/" "-Xmx9216M" "-Dspark.driver.port=38237" "org.apache.spark.executor.CoarseGrainedExecutorBackend" "--driver-url" "spark://CoarseGrainedScheduler@node:38237" "--executor-id" "1" "--hostname" "172.16.44.121" "--cores" "4" "--app-id" "app-20200811034057-0007" "--worker-url" "spark://Worker@172.16.44.121:40515"
========================================
2020-08-11 03:40:58,546 INFO executor.CoarseGrainedExecutorBackend: Started daemon with process name: 48258@node
2020-08-11 03:40:58,550 INFO util.SignalUtils: Registered signal handler for TERM
2020-08-11 03:40:58,551 INFO util.SignalUtils: Registered signal handler for HUP
2020-08-11 03:40:58,551 INFO util.SignalUtils: Registered signal handler for INT
2020-08-11 03:40:59,438 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
2020-08-11 03:40:59,648 INFO spark.SecurityManager: Changing view acls to: node
2020-08-11 03:40:59,649 INFO spark.SecurityManager: Changing modify acls to: node
2020-08-11 03:40:59,650 INFO spark.SecurityManager: Changing view acls groups to:
2020-08-11 03:40:59,651 INFO spark.SecurityManager: Changing modify acls groups to:
2020-08-11 03:40:59,652 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(node); groups with view permissions: Set(); users with modify permissions: Set(node); groups with modify permissions: Set()
2020-08-11 03:41:00,315 INFO client.TransportClientFactory: Successfully created connection to node/172.16.44.121:38237 after 141 ms (0 ms spent in bootstraps)
2020-08-11 03:41:00,516 INFO spark.SecurityManager: Changing view acls to: node
2020-08-11 03:41:00,516 INFO spark.SecurityManager: Changing modify acls to: node
2020-08-11 03:41:00,517 INFO spark.SecurityManager: Changing view acls groups to:
2020-08-11 03:41:00,517 INFO spark.SecurityManager: Changing modify acls groups to:
2020-08-11 03:41:00,517 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(node); groups with view permissions: Set(); users with modify permissions: Set(node); groups with modify permissions: Set()
2020-08-11 03:41:00,706 INFO client.TransportClientFactory: Successfully created connection to node/172.16.44.121:38237 after 3 ms (0 ms spent in bootstraps)
2020-08-11 03:41:00,785 INFO storage.DiskBlockManager: Created local directory at /tmp/spark-49f78387-e801-4c6b-8f18-cdc77d0932c1/executor-59808a58-abe7-443a-becb-08d828997e32/blockmgr-b986f7aa-4945-400d-a6a9-09a10a72d602
2020-08-11 03:41:00,830 INFO memory.MemoryStore: MemoryStore started with capacity 5.4 GB
2020-08-11 03:41:01,179 INFO executor.CoarseGrainedExecutorBackend: Connecting to driver: spark://CoarseGrainedScheduler@node:38237
2020-08-11 03:41:01,188 INFO worker.WorkerWatcher: Connecting to worker spark://Worker@172.16.44.121:40515
2020-08-11 03:41:01,199 INFO client.TransportClientFactory: Successfully created connection to /172.16.44.121:40515 after 5 ms (0 ms spent in bootstraps)
2020-08-11 03:41:01,202 INFO worker.WorkerWatcher: Successfully connected to spark://Worker@172.16.44.121:40515
2020-08-11 03:41:01,249 INFO executor.CoarseGrainedExecutorBackend: Successfully registered with driver
2020-08-11 03:41:01,255 INFO executor.Executor: Starting executor ID 1 on host 172.16.44.121
2020-08-11 03:41:01,386 INFO util.Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 39853.
2020-08-11 03:41:01,388 INFO netty.NettyBlockTransferService: Server created on 172.16.44.121:39853
2020-08-11 03:41:01,394 INFO storage.BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
2020-08-11 03:41:01,460 INFO storage.BlockManagerMaster: Registering BlockManager BlockManagerId(1, 172.16.44.121, 39853, None)
2020-08-11 03:41:01,485 INFO storage.BlockManagerMaster: Registered BlockManager BlockManagerId(1, 172.16.44.121, 39853, None)
2020-08-11 03:41:01,486 INFO storage.BlockManager: Initialized BlockManager: BlockManagerId(1, 172.16.44.121, 39853, None)
2020-08-11 03:41:01,533 INFO executor.CoarseGrainedExecutorBackend: Got assigned task 1
2020-08-11 03:41:01,563 INFO executor.Executor: Running task 1.0 in stage 0.0 (TID 1)
2020-08-11 03:41:01,860 INFO broadcast.TorrentBroadcast: Started reading broadcast variable 0
2020-08-11 03:41:01,956 INFO client.TransportClientFactory: Successfully created connection to node/172.16.44.121:35817 after 21 ms (0 ms spent in bootstraps)
2020-08-11 03:41:02,034 INFO memory.MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 18.7 KB, free 5.4 GB)
2020-08-11 03:41:02,057 INFO broadcast.TorrentBroadcast: Reading broadcast variable 0 took 197 ms
2020-08-11 03:41:02,161 INFO memory.MemoryStore: Block broadcast_0 stored as values in memory (estimated size 26.7 KB, free 5.4 GB)
2020-08-11 03:41:04,966 INFO (MainThread-48326) connected to server at ('172.16.44.121', 37063)
2020-08-11 03:41:04,967 INFO (MainThread-48326) TFSparkNode.reserve: {'executor_id': 1, 'host': '172.16.44.121', 'job_name': 'worker', 'task_index': 0, 'port': 34259, 'tb_pid': 0, 'tb_port': 0, 'addr': '/tmp/pymp-feorzp55/listener-_hw59mq5', 'authkey': b'\t\x0eg\xd9f\x93G\xd4\x89dr\xd1X\xd1\xf8\\'}
2020-08-11 03:41:05,970 INFO (MainThread-48326) node: {'executor_id': 0, 'host': '172.16.44.163', 'job_name': 'chief', 'task_index': 0, 'port': 38669, 'tb_pid': 0, 'tb_port': 0, 'addr': '/tmp/pymp-vt771lxm/listener-9_s0oby6', 'authkey': b'\x8e\xc5[\x04%\x0eE\xe4\x98\x93\xbd"\x1arO#'}
2020-08-11 03:41:05,970 INFO (MainThread-48326) node: {'executor_id': 1, 'host': '172.16.44.121', 'job_name': 'worker', 'task_index': 0, 'port': 34259, 'tb_pid': 0, 'tb_port': 0, 'addr': '/tmp/pymp-feorzp55/listener-_hw59mq5', 'authkey': b'\t\x0eg\xd9f\x93G\xd4\x89dr\xd1X\xd1\xf8\\'}
2020-08-11 03:41:05,970 INFO (MainThread-48326) export TF_CONFIG: {"cluster": {"chief": ["172.16.44.163:38669"], "worker": ["172.16.44.121:34259"]}, "task": {"type": "worker", "index": 0}, "environment": "cloud"}
2020-08-11 03:41:05,983 INFO (MainThread-48326) Starting TensorFlow worker:0 on cluster node 1 on foreground thread
2020-08-11 03:41:07,405 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
size=6731
training 6731 examples....
2020-08-11 03:41:57.231499: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2020-08-11 03:41:57.231551: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303)
2020-08-11 03:41:57.231584: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (node): /proc/driver/nvidia/version does not exist
2020-08-11 03:41:57.232059: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2020-08-11 03:41:57.243533: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2097630000 Hz
2020-08-11 03:41:57.244013: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fafe8000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-08-11 03:41:57.244049: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-08-11 03:41:57.250747: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:301] Initialize GrpcChannelCache for job chief -> {0 -> 172.16.44.163:38669}
2020-08-11 03:41:57.250783: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:301] Initialize GrpcChannelCache for job worker -> {0 -> localhost:34259}
2020-08-11 03:41:57.251182: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:390] Started server with target: grpc://localhost:34259
2020-08-11 03:41:57,251 INFO (MainThread-48326) Enabled multi-worker collective ops with available devices: ['/job:worker/replica:0/task:0/device:CPU:0', '/job:worker/replica:0/task:0/device:XLA_CPU:0']
2020-08-11 03:41:57,253 INFO (MainThread-48326) Using MirroredStrategy with devices ('/job:worker/task:0',)
2020-08-11 03:41:57,253 INFO (MainThread-48326) MultiWorkerMirroredStrategy with cluster_spec = {'chief': ['172.16.44.163:38669'], 'worker': ['172.16.44.121:34259']}, task_type = 'worker', task_id = 0, num_workers = 2, local_devices = ('/job:worker/task:0',), communication = CollectiveCommunication.AUTO
2020-08-11 03:41:57.254637: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 882245632 exceeds 10% of free system memory.
2020-08-11 03:41:57.528819: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 1764491264 exceeds 10% of free system memory.
2020-08-11 03:41:58.427062: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 1764491264 exceeds 10% of free system memory.
training 6731 examples....
2020-08-11 03:41:59,345 INFO (MainThread-48326) Collective batch_all_reduce: 1 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
2020-08-11 03:41:59,353 INFO (MainThread-48326) Collective batch_all_reduce: 1 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
2020-08-11 03:41:59,377 INFO (MainThread-48326) Collective batch_all_reduce: 1 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
2020-08-11 03:41:59,384 INFO (MainThread-48326) Collective batch_all_reduce: 1 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
2020-08-11 03:41:59,542 INFO (MainThread-48326) Collective batch_all_reduce: 1 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
2020-08-11 03:41:59,547 INFO (MainThread-48326) Collective batch_all_reduce: 1 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
2020-08-11 03:41:59,559 INFO (MainThread-48326) Collective batch_all_reduce: 1 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
2020-08-11 03:41:59,564 INFO (MainThread-48326) Collective batch_all_reduce: 1 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
2020-08-11 03:41:59,756 INFO (MainThread-48326) Collective batch_all_reduce: 1 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
2020-08-11 03:41:59,764 INFO (MainThread-48326) Collective batch_all_reduce: 1 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
2020-08-11 03:42:02,918 INFO (MainThread-48326) Running Distribute Coordinator with mode = 'independent_worker', cluster_spec = {'chief': ['172.16.44.163:38669'], 'worker': ['172.16.44.121:34259']}, task_type = 'worker', task_id = 0, environment = 'cloud', rpc_layer = 'grpc'
2020-08-11 03:42:02,918 WARNING (MainThread-48326) `eval_fn` is not passed in. The `worker_fn` will be used if an "evaluator" task exists in the cluster.
2020-08-11 03:42:02,919 WARNING (MainThread-48326) `eval_strategy` is not passed in. No distribution strategy will be used for evaluation.
2020-08-11 03:42:02,920 INFO (MainThread-48326) Using MirroredStrategy with devices ('/job:worker/task:0',)
2020-08-11 03:42:02,920 INFO (MainThread-48326) MultiWorkerMirroredStrategy with cluster_spec = {'chief': ['172.16.44.163:38669'], 'worker': ['172.16.44.121:34259']}, task_type = 'worker', task_id = 0, num_workers = 2, local_devices = ('/job:worker/task:0',), communication = CollectiveCommunication.AUTO
2020-08-11 03:42:02,922 INFO (MainThread-48326) Using MirroredStrategy with devices ('/job:worker/task:0',)
2020-08-11 03:42:02,922 INFO (MainThread-48326) MultiWorkerMirroredStrategy with cluster_spec = {'chief': ['172.16.44.163:38669'], 'worker': ['172.16.44.121:34259']}, task_type = 'worker', task_id = 0, num_workers = 2, local_devices = ('/job:worker/task:0',), communication = CollectiveCommunication.AUTO
2020-08-11 03:42:03.004624: W tensorflow/core/grappler/optimizers/data/auto_shard.cc:434] In AUTO-mode, and switching to DATA-based sharding, instead of FILE-based sharding as we cannot find appropriate reader dataset op(s) to shard. Error: Did not find a shardable source, walked to a node which is not a dataset: name: "FlatMapDataset/_2"
op: "FlatMapDataset"
input: "TensorDataset/_1"
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. Consider either turning off auto-sharding or switching the auto_shard_policy to DATA to shard this dataset. You can do this by creating a new `tf.data.Options()` object then setting `options.experimental_distribute.auto_shard_policy = AutoShardPolicy.DATA` before applying the options object to the dataset via `dataset.with_options(options)`.
Epoch 1/10
2020-08-11 03:42:04,093 INFO (MainThread-48326) Collective batch_all_reduce: 66 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
2020-08-11 03:42:09,234 INFO (MainThread-48326) Collective batch_all_reduce: 66 all-reduces, num_workers = 2, communication_hint = AUTO, num_packs = 1
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