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[BigDL 2.0] examples on k8s integration tests #44

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7 of 8 tasks
glorysdj opened this issue Oct 18, 2021 · 17 comments
Open
7 of 8 tasks

[BigDL 2.0] examples on k8s integration tests #44

glorysdj opened this issue Oct 18, 2021 · 17 comments

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@glorysdj
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glorysdj commented Oct 18, 2021 •
edited by Le-Zheng

dllib examples

Module Example Added Client Mode Cluster Mode
autograd custom.py Y Succeed Succeed
autograd customloss.py Y Succeed Succeed
nnframes imageInference Y Succeed Succeed
nnframes imageTransferLearning Y Succeed Succeed

orca examples

Module Example Added Client Mode Cluster Mode
automl autoestimator/autoestimator_pytorch.py (#30) N #22 #22
automl autoxgboost/AutoXGBoostClassifier.p (#27) N #22 #22
automl autoxgboost/AutoXGBoostRegressor.py (#27) N #22 #22
data spark_pandas.py Y Succeed Succeed
bigdl learn/bigdl/attention/transformer.py Y Succeed Succeed 
bigdl learn/bigdl/imageInference/imageInference.py Y Succeed  Succeed
horovod learn/horovod/pytorch_estimator.py Y Succeed  Succeed 
horovod simple_horovod_pytorch.py Y Succeed  Succeed 
mxnet learn/mxnet/lenet_mnist.py Y  Succeed Succeed  
openvino learn/openvino/predict.py N N   #17
pytorch learn/pytorch/cifar10/cifar10.py Y Succeed Succeed 
pytorch learn/pytorch/fashion_mnist/fashion_mnist.py Y  Succeed Succeed 
pytorch  learn/pytorch/super_resolution/super_resolution.py Y Succeed Succeed 
tf learn/tf/basic_text_classification/basic_text_classification.py Y Succeed   Succeed 
tf learn/tf/image_segmentation/image_segmentation.py Y Succeed   Succeed
tf learn/tf/inception/inception.py Y Succeed   Succeed
tf learn/tf/transfer_learning/transfer_learning.py Y Succeed  Succeed
tf2 learn/tf2/resnet/resnet-50-imagenet.py N Succeed  Succeed
tf2 learn/tf2/yolov3/yoloV3.py Y Succeed  Succeed
ray_on_spark ray_on_spark/parameter_server/async_parameter_server.py Y Succeed   Succeed
ray_on_spark ray_on_spark/parameter_server/sync_parameter_server.py Y Succeed   Succeed
ray_on_spark ray_on_spark/rl_pong/rl_pong.py Y Succeed Succeed
ray_on_spark ray_on_spark/rl_pong/rl_pong.py Y Succeed Succeed
ray_on_spark ray_on_spark/rllib/multiagent_two_trainers.py Y Succeed Succeed
tfpark tfpark/estimator/estimator_dataset.py Y Succeed #17
tfpark tfpark/estimator/estimator_inception.py Y Succeed #17
tfpark tfpark/estimator/pre-made-estimator.py Y Succeed #17
tfpark tfpark/gan/gan_train_and_evaluate.py Y Succeed #17
tfpark tfpark/keras/keras_dataset.py Y Succeed #17
tfpark tfpark/keras/keras_ndarray.py Y Succeed #17
tfpark tfpark/tf_optimizer/evaluate.py Y Succeed #17
tfpark tfpark/tf_optimizer/train.py Y Succeed #17
torchmodel torchmodel/train/imagenet/main.py Y Succeed #17
torchmodel torchmodel/train/mnist/main.py Y Succeed #17
torchmodel torchmodel/train/resnet_finetune/resnet_finetune.py Y Succeed #17
@glorysdj glorysdj changed the title [BigDL 2.0][Hyper Zoo][Integration Tests] [BigDL 2.0][Hyper Zoo] Integration Tests Oct 18, 2021
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@ManfeiBai
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ManfeiBai commented Oct 19, 2021 •
edited

keras_dataset.py

client command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode client \
  --conf spark.driver.host=172.16.0.200 \
  --conf spark.driver.port=54321 \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/keras/keras_dataset.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/keras/keras_dataset.py

Cluster Command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode cluster \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/keras/keras_dataset.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/keras/keras_dataset.py

Client Exception

Downloading data from http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
 122880/9912422 [..............................] - ETA: 46564s2021-10-19 09:03:54 WARN  WatchConnectionManager:205 - Exec Failure
java.io.EOFException
        at okio.RealBufferedSource.require(RealBufferedSource.java:61)
        at okio.RealBufferedSource.readByte(RealBufferedSource.java:74)
        at okhttp3.internal.ws.WebSocketReader.readHeader(WebSocketReader.java:117)
        at okhttp3.internal.ws.WebSocketReader.processNextFrame(WebSocketReader.java:101)
        at okhttp3.internal.ws.RealWebSocket.loopReader(RealWebSocket.java:274)
        at okhttp3.internal.ws.RealWebSocket$2.onResponse(RealWebSocket.java:214)
        at okhttp3.RealCall$AsyncCall.execute(RealCall.java:203)
        at okhttp3.internal.NamedRunnable.run(NamedRunnable.java:32)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)

Cluster Error

BigDLBasePickler registering: bigdl.dllib.utils.common  JActivity
Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/keras/keras_dataset.py", line 86, in <module>
    main(max_epoch)
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/keras/keras_dataset.py", line 38, in main
    training_rdd = get_data_rdd("train", sc)
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/keras/keras_dataset.py", line 25, in get_data_rdd
    from bigdl.dataset import mnist
ModuleNotFoundError: No module named 'bigdl.dataset'

@piaolaidelangman
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piaolaidelangman commented Oct 19, 2021 •
edited

transformer.py

client command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode client \
  --conf spark.driver.host=172.16.0.200 \
  --conf spark.driver.port=54321 \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/attention/transformer.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/attention/transformer.py \
  --cluster_mode local

Client Exception

Model Summary:
------------------------------------------------------------------------------------------------------------------------
Layer (type)                            Output Shape              Param #       Connected to
========================================================================================================================
Input6211ffde (Input)                   (None, 200)               0
________________________________________________________________________________________________________________________
Input5e52b20d (Input)                   (None, 200)               0
________________________________________________________________________________________________________________________
Modelb2501061 (Model)                   (None, 200, 128) (None, 1 4955776       Input5e52b20d
                                                                                Input6211ffde
________________________________________________________________________________________________________________________
SelectTable45b65920 (SelectTable)       (None, 200, 128)          0             Modelb2501061
________________________________________________________________________________________________________________________
GlobalAveragePooling1D3f41a62a (GlobalA (None, 128)               0             SelectTable45b65920
________________________________________________________________________________________________________________________
Dropout974d65da (Dropout)               (None, 128)               0             GlobalAveragePooling1D3f41a62a
________________________________________________________________________________________________________________________
Densef0607e86 (Dense)                   (None, 2)                 258           Dropout974d65da
________________________________________________________________________________________________________________________
Total params: 4,956,034
Trainable params: 4,956,034
Non-trainable params: 0
------------------------------------------------------------------------------------------------------------------------
Train...
creating: createZooKerasSparseCategoricalCrossEntropy
creating: createAdam
creating: createZooKerasAccuracy
creating: createSeqToTensor
creating: createTensorToSample
creating: createChainedPreprocessing
creating: createNNModel
creating: createSeqToTensor
creating: createSeqToTensor
creating: createFeatureLabelPreprocessing
creating: createNNEstimator
creating: createEstimator
creating: createMaxEpoch
2021-10-19 10:12:24 INFO  DistriOptimizer$:824 - caching training rdd ...
2021-10-19 10:12:26 ERROR TorrentBroadcast:73 - Store broadcast broadcast_7 fail, remove all pieces of the broadcast
2021-10-19 10:12:26 ERROR TorrentBroadcast:73 - Store broadcast broadcast_7 fail, remove all pieces of the broadcast
2021-10-19 10:12:26 ERROR TorrentBroadcast:73 - Store broadcast broadcast_7 fail, remove all pieces of the broadcast
Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/attention/transformer.py", line 98, in <module>
    epochs=1)
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/bigdl/estimator.py", line 181, in fit
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/dllib/estimator/estimator.py", line 145, in train
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/dllib/utils/file_utils.py", line 164, in callZooFunc
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/dllib/utils/file_utils.py", line 158, in callZooFunc
  File "/opt/work/spark-3.1.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1305, in __call__
  File "/opt/work/spark-3.1.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o71.estimatorTrain.
: java.lang.StackOverflowError
        at java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1877)
        at java.io.ObjectOutputStream$BlockDataOutputStream.write(ObjectOutputStream.java:1841)
        at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1534)
        at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
        at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
        at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
        at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
        at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
        at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
        at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
        at java.io.ObjectOutputStream.writeArray(ObjectOutputStream.java:1378)
	......
        at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
        at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
        at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)

Stopping orca context
Try to unpersist an uncached rdd
Try to unpersist an uncached rdd

Cluster Command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode cluster \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --conf spark.kubernetes.driverEnv.http_proxy=${http_proxy} \
  --conf spark.kubernetes.driverEnv.https_proxy=${https_proxy} \
  --conf spark.kubernetes.executorEnv.http_proxy=${http_proxy} \
  --conf spark.kubernetes.executorEnv.https_proxy=${https_proxy} \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/attention/transformer.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/attention/transformer.py \
  --cluster_mode local

Cluster Exception

2021-10-20 11:08:58 INFO  DistriOptimizer$:824 - caching training rdd ...
2021-10-20 11:09:00 ERROR TorrentBroadcast:73 - Store broadcast broadcast_7 fail, remove all pieces of the broadcast
2021-10-20 11:09:00 ERROR TorrentBroadcast:73 - Store broadcast broadcast_7 fail, remove all pieces of the broadcast
2021-10-20 11:09:00 ERROR TorrentBroadcast:73 - Store broadcast broadcast_7 fail, remove all pieces of the broadcast
Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/attention/transformer.py", line 98, in <module>
    epochs=1)
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/bigdl/estimator.py", line 181, in fit
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/dllib/estimator/estimator.py", line 145, in train
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/dllib/utils/file_utils.py", line 164, in callZooFunc
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/dllib/utils/file_utils.py", line 158, in callZooFunc
  File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1305, in __call__
  File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o83.estimatorTrain.
: java.lang.StackOverflowError
        at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
        at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
        at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
        at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
        at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
        at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
        at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
        at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
        ......
        at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1174)
        at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
        at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
        at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)

Stopping orca context
Exception ignored in: <bound method SparkXShards.__del__ of <bigdl.orca.data.shard.SparkXShards object at 0x7f0e51886198>>
Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/data/shard.py", line 430, in __del__
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/data/shard.py", line 194, in uncache
  File "/opt/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 315, in unpersist
  File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1296, in __call__
  File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1260, in _build_args
  File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1246, in _get_args
  File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_collections.py", line 490, in can_convert
  File "/usr/lib/python3.6/abc.py", line 189, in __instancecheck__
AttributeError: 'NoneType' object has no attribute '_abc_invalidation_counter'
Exception ignored in: <bound method SparkXShards.__del__ of <bigdl.orca.data.shard.SparkXShards object at 0x7f0e51881828>>
Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/data/shard.py", line 430, in __del__
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/data/shard.py", line 194, in uncache
  File "/opt/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 315, in unpersist
  File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1296, in __call__
  File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1260, in _build_args
  File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1246, in _get_args
  File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_collections.py", line 490, in can_convert
  File "/usr/lib/python3.6/abc.py", line 189, in __instancecheck__
AttributeError: 'NoneType' object has no attribute '_abc_invalidation_counter'

@piaolaidelangman
Copy link

imageInference.py

Client Command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode client \
  --conf spark.driver.host=172.16.0.200 \
  --conf spark.driver.port=54321 \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/imageInference/imageInference.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/imageInference/imageInference.py \
  -m /tmp/data2/analytics-zoo-models/bigdl_inception-v1_imagenet_0.4.0.model \
  -f /tmp/data2/nnframes/samples \
  --b 32

Client Exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/imageInference/imageInference.py", line 83, in <module>
    predictionDF = inference(image_path, model_path, batch_size, sc) \
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/imageInference/imageInference.py", line 36, in inference
    model = Model.loadModel(model_path)
  File "/opt/work/conda/envs/bigdl/lib/python3.6/site-packages/bigdl/nn/layer.py", line 776, in loadModel
    jmodel = callBigDlFunc(bigdl_type, "loadBigDLModule", modelPath, weightPath)
  File "/opt/work/conda/envs/bigdl/lib/python3.6/site-packages/bigdl/util/common.py", line 592, in callBigDlFunc
    for jinvoker in JavaCreator.instance(bigdl_type, gateway).value:
  File "/opt/work/conda/envs/bigdl/lib/python3.6/site-packages/bigdl/util/common.py", line 56, in instance
    cls._instance = cls(bigdl_type, *args)
  File "/opt/work/conda/envs/bigdl/lib/python3.6/site-packages/bigdl/util/common.py", line 96, in __init__
    self.value.append(getattr(jclass, "ofFloat")())
TypeError: 'JavaPackage' object is not callable
Stopping orca context

Cluster Command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode cluster \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/imageInference/imageInference.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/imageInference/imageInference.py \
  -m /tmp/data2/analytics-zoo-models/bigdl_inception-v1_imagenet_0.4.0.model \
  -f /tmp/data2/nnframes/samples \
  --b 32

Cluster Exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/bigdl/imageInference/imageInference.py", line 19, in <module>
    from bigdl.nn.layer import Model
ModuleNotFoundError: No module named 'bigdl.nn'
2021-10-20 01:41:01 INFO  ShutdownHookManager:57 - Shutdown hook called
2021-10-20 01:41:01 INFO  ShutdownHookManager:57 - Deleting directory /tmp/spark-a7cc8a62-166c-4e11-8e5c-26f02d941222
2021-10-20 01:41:01 INFO  ShutdownHookManager:57 - Deleting directory /tmp/localPyFiles-756c842f-335c-46f8-a236-2fb9f779aa4b

@piaolaidelangman
Copy link

lenet_mnist.py

Cluster Command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode cluster \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/mxnet/lenet_mnist.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/mxnet/lenet_mnist.py \
  -e 2

Cluster Exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/mxnet/lenet_mnist.py", line 22, in <module>
    from bigdl.orca.learn.mxnet import Estimator, create_config
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/mxnet/__init__.py", line 17, in <module>
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/mxnet/estimator.py", line 22, in <module>
ModuleNotFoundError: No module named 'dmlc_tracker'
2021-10-20 01:56:35 INFO  ShutdownHookManager:57 - Shutdown hook called
2021-10-20 01:56:35 INFO  ShutdownHookManager:57 - Deleting directory /tmp/localPyFiles-09eb1333-bc74-4b83-8d8d-c1ba7c8825ce
2021-10-20 01:56:35 INFO  ShutdownHookManager:57 - Deleting directory /tmp/spark-5b880701-7902-4bec-bae6-cae810ddce26

Client command (Client没问题)

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode client \
  --conf spark.driver.host=172.16.0.200 \
  --conf spark.driver.port=54321 \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/mxnet/lenet_mnist.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/mxnet/lenet_mnist.py \
  -e 2

@glorysdj glorysdj reopened this Oct 20, 2021
@ManfeiBai
Copy link

ManfeiBai commented Oct 21, 2021 •
edited

train.py

train.py's name need to be updated in the readme

Client Command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode client \
  --conf spark.driver.host=172.16.0.200 \
  --conf spark.driver.port=54321 \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/tf_optimizer/train.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/tf_optimizer/train.py

Client Exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/tf_optimizer/train.py", line 19, in <module>
    from bigdl.optim.optimizer import *
ModuleNotFoundError: No module named 'bigdl.optim'

cluster command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode cluster \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/tf_optimizer/train.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/tf_optimizer/train.py

Cluster Exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/tf_optimizer/train.py", line 19, in <module>
    from bigdl.optim.optimizer import *
ModuleNotFoundError: No module named 'bigdl.optim'

@ManfeiBai
Copy link

gan_train_and_evaluate.py

Client Command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode client \
  --conf spark.driver.host=172.16.0.200 \
  --conf spark.driver.port=54321 \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/gan/gan_train_and_evaluate.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/gan/gan_train_and_evaluate.py

Client Exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/gan/gan_train_and_evaluate.py", line 16, in <module>
    from bigdl.optim.optimizer import MaxIteration
ModuleNotFoundError: No module named 'bigdl.optim'

cluster command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode cluster \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/gan/gan_train_and_evaluate.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/gan/gan_train_and_evaluate.py

cluster Exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/tfpark/gan/gan_train_and_evaluate.py", line 16, in <module>
    from bigdl.optim.optimizer import MaxIteration
ModuleNotFoundError: No module named 'bigdl.optim'

@piaolaidelangman
Copy link

yolov3.py

client command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode client \
  --conf spark.driver.host=172.16.0.200 \
  --conf spark.driver.port=54321 \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py \
  --data_dir /bigdl2.0/data/yolov3 \
  --weights /bigdl2.0/data/yolov3/yolov3.weights \
  --class_num 20 \
  --name /bigdl2.0/data/yolov3/voc2012.names

client exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py", line 694, in <module>
    main()
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py", line 680, in main
    trainer = Estimator.from_keras(model_creator=model_creator)
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/tf2/estimator.py", line 69, in from_keras
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/tf2/estimator.py", line 132, in __init__
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/dl_cluster.py", line 111, in __init__
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 47, in wrapper
    return func(*args, **kwargs)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/worker.py", line 1456, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(RecursionError): ray::Worker.disable_cpu_affinity() (pid=41100, ip=172.16.0.200)
  File "python/ray/_raylet.pyx", line 439, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 442, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 459, in ray._raylet.execute_task
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/serialization.py", line 245, in deserialize_objects
    self._deserialize_object(data, metadata, object_ref))
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/serialization.py", line 192, in _deserialize_object
    return self._deserialize_msgpack_data(data, metadata_fields)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/serialization.py", line 170, in _deserialize_msgpack_data
    python_objects = self._deserialize_pickle5_data(pickle5_data)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/serialization.py", line 158, in _deserialize_pickle5_data
    obj = pickle.loads(in_band, buffers=buffers)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 50, in __getattr__
    module = self._load()
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 44, in _load
    module = _importlib.import_module(self.__name__)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 50, in __getattr__
    module = self._load()
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 44, in _load
    module = _importlib.import_module(self.__name__)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 50, in __getattr__
    module = self._load()
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 44, in _load
  ......
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 50, in __getattr__
    module = self._load()
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 44, in _load
    module = _importlib.import_module(self.__name__)
RecursionError: maximum recursion depth exceeded while calling a Python object
Stopping orca context

cluster command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode cluster \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --conf spark.kubernetes.driverEnv.http_proxy=${http_proxy} \
  --conf spark.kubernetes.driverEnv.https_proxy=${https_proxy} \
  --conf spark.kubernetes.executorEnv.http_proxy=${http_proxy} \
  --conf spark.kubernetes.executorEnv.https_proxy=${https_proxy} \
  --conf spark.kubernetes.executor.podTemplateFile=/opt/work/spark-executor-template.yaml \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py \
  --data_dir /bigdl2.0/data/yolov3 \
  --weights /bigdl2.0/data/yolov3/yolov3.weights \
  --class_num 20 \
  --name /bigdl2.0/data/yolov3/voc2012.names

cluster exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py", line 694, in <module>
    main()
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py", line 606, in main
    load_darknet_weights(yolo, options.weights)
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py", line 192, in load_darknet_weights
    wf = open(weights_file, 'rb')
FileNotFoundError: [Errno 2] No such file or directory: '/bigdl2.0/data/yolov3/yolov3.weights'
Stopping orca context

The file '/bigdl2.0/data/yolov3/yolov3.weights' exists.

@piaolaidelangman

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@glorysdj glorysdj changed the title [BigDL 2.0][Hyper Zoo] Integration Tests [BigDL 2.0] examples on k8s integration tests Oct 25, 2021
@Le-Zheng
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Contributor

yolov3.py

client command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode client \
  --conf spark.driver.host=172.16.0.200 \
  --conf spark.driver.port=54321 \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py \
  --data_dir /bigdl2.0/data/yolov3 \
  --weights /bigdl2.0/data/yolov3/yolov3.weights \
  --class_num 20 \
  --name /bigdl2.0/data/yolov3/voc2012.names

client exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py", line 694, in <module>
    main()
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py", line 680, in main
    trainer = Estimator.from_keras(model_creator=model_creator)
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/tf2/estimator.py", line 69, in from_keras
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/tf2/estimator.py", line 132, in __init__
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/dl_cluster.py", line 111, in __init__
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 47, in wrapper
    return func(*args, **kwargs)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/worker.py", line 1456, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(RecursionError): ray::Worker.disable_cpu_affinity() (pid=41100, ip=172.16.0.200)
  File "python/ray/_raylet.pyx", line 439, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 442, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 459, in ray._raylet.execute_task
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/serialization.py", line 245, in deserialize_objects
    self._deserialize_object(data, metadata, object_ref))
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/serialization.py", line 192, in _deserialize_object
    return self._deserialize_msgpack_data(data, metadata_fields)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/serialization.py", line 170, in _deserialize_msgpack_data
    python_objects = self._deserialize_pickle5_data(pickle5_data)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/ray/serialization.py", line 158, in _deserialize_pickle5_data
    obj = pickle.loads(in_band, buffers=buffers)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 50, in __getattr__
    module = self._load()
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 44, in _load
    module = _importlib.import_module(self.__name__)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 50, in __getattr__
    module = self._load()
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 44, in _load
    module = _importlib.import_module(self.__name__)
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 50, in __getattr__
    module = self._load()
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 44, in _load
  ......
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 50, in __getattr__
    module = self._load()
  File "/opt/work/conda/envs/newenv/lib/python3.7/site-packages/tensorflow/__init__.py", line 44, in _load
    module = _importlib.import_module(self.__name__)
RecursionError: maximum recursion depth exceeded while calling a Python object
Stopping orca context

cluster command

${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode cluster \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name analytics-zoo-autoestimator \
  --conf spark.kubernetes.container.image=${RUNTIME_K8S_SPARK_IMAGE} \
  --conf spark.executor.instances=${RUNTIME_EXECUTOR_INSTANCES} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.driver.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/tmp \
  --conf spark.kubernetes.driver.label.az=true \
  --conf spark.kubernetes.executor.label.az=true \
  --conf spark.kubernetes.node.selector.spark=true \
  --conf spark.kubernetes.driverEnv.http_proxy=${http_proxy} \
  --conf spark.kubernetes.driverEnv.https_proxy=${https_proxy} \
  --conf spark.kubernetes.executorEnv.http_proxy=${http_proxy} \
  --conf spark.kubernetes.executorEnv.https_proxy=${https_proxy} \
  --conf spark.kubernetes.executor.podTemplateFile=/opt/work/spark-executor-template.yaml \
  --executor-cores ${RUNTIME_EXECUTOR_CORES} \
  --executor-memory ${RUNTIME_EXECUTOR_MEMORY} \
  --total-executor-cores ${RUNTIME_TOTAL_EXECUTOR_CORES} \
  --driver-cores ${RUNTIME_DRIVER_CORES} \
  --driver-memory ${RUNTIME_DRIVER_MEMORY} \
  --properties-file ${BIGDL_HOME}/conf/spark-bigdl.conf \
  --py-files local://${BIGDL_HOME}/python/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-serving-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local://${BIGDL_HOME}/python/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  --conf spark.executor.extraClassPath=local://${BIGDL_HOME}/jars/bigdl-orca-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar:local://${BIGDL_HOME}/jars/bigdl-friesian-spark_${SPARK_VERSION}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py \
  --data_dir /bigdl2.0/data/yolov3 \
  --weights /bigdl2.0/data/yolov3/yolov3.weights \
  --class_num 20 \
  --name /bigdl2.0/data/yolov3/voc2012.names

cluster exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py", line 694, in <module>
    main()
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py", line 606, in main
    load_darknet_weights(yolo, options.weights)
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/tf2/yolov3/yoloV3.py", line 192, in load_darknet_weights
    wf = open(weights_file, 'rb')
FileNotFoundError: [Errno 2] No such file or directory: '/bigdl2.0/data/yolov3/yolov3.weights'
Stopping orca context

The file '/bigdl2.0/data/yolov3/yolov3.weights' exists.

Yolov3 client mode RecursionError: maximum recursion depth exceeded while calling a Python object: it requires Tensorflow2, we may add a conda env for tf2
Yolov3 cluster mode /bigdl2.0/data/yolov3/yolov3.weights: need to put this file in nfs path

@sgwhat
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sgwhat commented Oct 28, 2021

K8s-Orca-Exception in this issue: #24

@piaolaidelangman
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K8s client-mode test exception on new image in this issue: #23

@liu-shaojun liu-shaojun transferred this issue from intel-analytics/BigDL-2.x Mar 5, 2024
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@glorysdj @zzti-bsj @Le-Zheng @sgwhat @ManfeiBai @piaolaidelangman