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intel-analytics / analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
https://analytics-zoo.readthedocs.io/
Apache License 2.0
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[BigDL 2.0] examples on k8s integration tests #44

Open glorysdj opened 2 years ago

glorysdj commented 2 years ago
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 (https://github.com/intel-analytics/analytics-zoo-internal/issues/30) N https://github.com/intel-analytics/analytics-zoo-internal/issues/22 https://github.com/intel-analytics/analytics-zoo-internal/issues/22
automl autoxgboost/AutoXGBoostClassifier.p (https://github.com/intel-analytics/analytics-zoo-internal/issues/27) N https://github.com/intel-analytics/analytics-zoo-internal/issues/22 https://github.com/intel-analytics/analytics-zoo-internal/issues/22
automl autoxgboost/AutoXGBoostRegressor.py (https://github.com/intel-analytics/analytics-zoo-internal/issues/27) N https://github.com/intel-analytics/analytics-zoo-internal/issues/22 https://github.com/intel-analytics/analytics-zoo-internal/issues/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   https://github.com/intel-analytics/analytics-zoo-internal/issues/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 https://github.com/intel-analytics/analytics-zoo-internal/issues/17
tfpark tfpark/estimator/estimator_inception.py Y Succeed https://github.com/intel-analytics/analytics-zoo-internal/issues/17
tfpark tfpark/estimator/pre-made-estimator.py Y Succeed https://github.com/intel-analytics/analytics-zoo-internal/issues/17
tfpark tfpark/gan/gan_train_and_evaluate.py Y Succeed https://github.com/intel-analytics/analytics-zoo-internal/issues/17
tfpark tfpark/keras/keras_dataset.py Y Succeed https://github.com/intel-analytics/analytics-zoo-internal/issues/17
tfpark tfpark/keras/keras_ndarray.py Y Succeed https://github.com/intel-analytics/analytics-zoo-internal/issues/17
tfpark tfpark/tf_optimizer/evaluate.py Y Succeed https://github.com/intel-analytics/analytics-zoo-internal/issues/17
tfpark tfpark/tf_optimizer/train.py Y Succeed https://github.com/intel-analytics/analytics-zoo-internal/issues/17
torchmodel torchmodel/train/imagenet/main.py Y Succeed https://github.com/intel-analytics/analytics-zoo-internal/issues/17
torchmodel torchmodel/train/mnist/main.py Y Succeed https://github.com/intel-analytics/analytics-zoo-internal/issues/17
torchmodel torchmodel/train/resnet_finetune/resnet_finetune.py Y Succeed https://github.com/intel-analytics/analytics-zoo-internal/issues/17
zzti-bsj commented 2 years ago
Module Example Added Client Mode Cluster Mode
automl autoestimator/autoestimator_pytorch.py N    
automl autoxgboost/AutoXGBoostClassifier.py N  
automl autoxgboost/AutoXGBoostRegressor.py N    
data spark_pandas.py N
bigdl learn/bigdl/attention/transformer.py N    
bigdl learn/bigdl/imageInference/imageInference.py N    
horovod learn/horovod/pytorch_estimator.py N    
horovod simple_horovod_pytorch.py N    
mxnet learn/mxnet/lenet_mnist.py N    
openvino learn/openvino/predict.py N    
pytorch learn/pytorch/cifar10/cifar10.py N    
pytorch learn/pytorch/fashion_mnist/fashion_mnist.py N    
pytorch  learn/pytorch/super_resolution/super_resolution.py N    
tf learn/tf/basic_text_classification/basic_text_classification.py N    
tf learn/tf/image_segmentation/image_segmentation.py N  
tf learn/tf/inception/inception.py N  
tf learn/tf/transfer_learning/transfer_learning.py N  
tf2 learn/tf2/resnet/resnet-50-imagenet.py N  
tf2 learn/tf2/yolov3/predict.py N  
tf2 learn/tf2/yolov3/yoloV3.py N  
ray_on_spark ray_on_spark/parameter_server/async_parameter_server.py N  
ray_on_spark ray_on_spark/parameter_server/sync_parameter_server.py N  
ray_on_spark ray_on_spark/rl_pong/rl_pong.py N
ray_on_spark ray_on_spark/rl_pong/rl_pong.py N
ray_on_spark ray_on_spark/rllib/multiagent_two_trainers.py N
tfpark tfpark/estimator/estimator_dataset.py N
tfpark tfpark/estimator/estimator_inception.py N
tfpark tfpark/estimator/pre-made-estimator.py N
tfpark tfpark/gan/gan_train_and_evaluate.py N
tfpark tfpark/keras/keras_dataset.py N
tfpark tfpark/keras/keras_ndarray.py N
tfpark tfpark/tf_optimizer/evaluate.py N
tfpark tfpark/tf_optimizer/train.py N
torchmodel torchmodel/train/imagenet/main.py N
torchmodel torchmodel/train/mnist/main.py N
torchmodel torchmodel/train/resnet_finetune/resnet_finetune.py N
zzti-bsj commented 2 years ago
Module Example Added Cluster Mode Client Mode
autograd custom.py N    
autograd customloss.py N    
nnframes imageInference Y Succeed Succeed 
nnframes imageTransferLearning Y Succeed  Succeed
zzti-bsj commented 2 years ago

autograd custom.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}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/dllib/autograd/custom.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${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/dllib/autograd/custom.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}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/dllib/autograd/custom.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${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/dllib/autograd/custom.py

exception

cls.getname: com.intel.analytics.bigdl.dllib.utils.python.api.Sample
BigDLBasePickler registering: bigdl.dllib.utils.common  Sample
cls.getname: com.intel.analytics.bigdl.dllib.utils.python.api.EvaluatedResult
BigDLBasePickler registering: bigdl.dllib.utils.common  EvaluatedResult
cls.getname: com.intel.analytics.bigdl.dllib.utils.python.api.JTensor
BigDLBasePickler registering: bigdl.dllib.utils.common  JTensor
cls.getname: com.intel.analytics.bigdl.dllib.utils.python.api.JActivity
BigDLBasePickler registering: bigdl.dllib.utils.common  JActivity
creating: createZooKerasSequential
creating: createZooKerasDense
creating: createDefault
creating: createSGD
creating: createZooKerasVariable
creating: createZooKerasVariable
creating: createZooKerasCustomLoss
2021-10-19 05:51:19 INFO  LocalOptimizer$:69 - Clone 1 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 2 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 3 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 4 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 5 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 6 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 7 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 8 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 9 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 10 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 11 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 12 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 13 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 14 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 15 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:69 - Clone 16 model...
2021-10-19 05:51:20 INFO  LocalOptimizer$:119 - model thread pool size is 1
2021-10-19 05:51:20 ERROR ThreadPool$:136 - Error: Layer info: Model[ce577d6d]/KerasLayerWrapper[Mean76c60542_wrapper]
java.lang.IllegalArgumentException: requirement failed: dimension exceeds input dimensionsdimension 1, input dimension 0
        at scala.Predef$.require(Predef.scala:281)
        at com.intel.analytics.bigdl.dllib.nn.Sum.getPositiveDimension(Sum.scala:64)
        at com.intel.analytics.bigdl.dllib.nn.Sum.updateOutput(Sum.scala:75)
        at com.intel.analytics.bigdl.dllib.nn.Sum.updateOutput(Sum.scala:44)
        at com.intel.analytics.bigdl.dllib.nn.keras.KerasLayer.updateOutput(KerasLayer.scala:274)
        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractModule.forward(AbstractModule.scala:283)
        at com.intel.analytics.bigdl.dllib.nn.StaticGraph.updateOutput(StaticGraph.scala:62)
        at com.intel.analytics.bigdl.dllib.nn.keras.KerasLayer.updateOutput(KerasLayer.scala:274)
        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractModule.forward(AbstractModule.scala:283)
        at com.intel.analytics.bigdl.dllib.keras.autograd.CustomLoss.updateOutput(CustomLoss.scala:104)
        at com.intel.analytics.bigdl.dllib.keras.autograd.CustomLoss.updateOutput(CustomLoss.scala:66)
        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractCriterion.forward(AbstractCriterion.scala:73)
        at com.intel.analytics.bigdl.dllib.optim.LocalOptimizer.$anonfun$optimize$8(LocalOptimizer.scala:149)
        at scala.runtime.java8.JFunction0$mcD$sp.apply(JFunction0$mcD$sp.java:23)
        at com.intel.analytics.bigdl.dllib.utils.ThreadPool.$anonfun$invokeAndWait$2(ThreadPool.scala:133)
        at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
        at scala.util.Success.$anonfun$map$1(Try.scala:255)
        at scala.util.Success.map(Try.scala:213)
        at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
        at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
        at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
        at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        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)

        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractModule.forward(AbstractModule.scala:289)
        at com.intel.analytics.bigdl.dllib.nn.StaticGraph.updateOutput(StaticGraph.scala:62)
        at com.intel.analytics.bigdl.dllib.nn.keras.KerasLayer.updateOutput(KerasLayer.scala:274)
        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractModule.forward(AbstractModule.scala:283)
        at com.intel.analytics.bigdl.dllib.keras.autograd.CustomLoss.updateOutput(CustomLoss.scala:104)
        at com.intel.analytics.bigdl.dllib.keras.autograd.CustomLoss.updateOutput(CustomLoss.scala:66)
        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractCriterion.forward(AbstractCriterion.scala:73)
        at com.intel.analytics.bigdl.dllib.optim.LocalOptimizer.$anonfun$optimize$8(LocalOptimizer.scala:149)
        at scala.runtime.java8.JFunction0$mcD$sp.apply(JFunction0$mcD$sp.java:23)
        at com.intel.analytics.bigdl.dllib.utils.ThreadPool.$anonfun$invokeAndWait$2(ThreadPool.scala:133)
        at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
        at scala.util.Success.$anonfun$map$1(Try.scala:255)
        at scala.util.Success.map(Try.scala:213)
        at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
        at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
        at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
        at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        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)

2021-10-19 05:51:20 ERROR ThreadPool$:136 - Error: Layer info: Model[ce577d6d]/KerasLayerWrapper[Mean76c60542_wrapper]
java.lang.IllegalArgumentException: requirement failed: dimension exceeds input dimensionsdimension 1, input dimension 0
        at scala.Predef$.require(Predef.scala:281)
        at com.intel.analytics.bigdl.dllib.nn.Sum.getPositiveDimension(Sum.scala:64)
        at com.intel.analytics.bigdl.dllib.nn.Sum.updateOutput(Sum.scala:75)
        at com.intel.analytics.bigdl.dllib.nn.Sum.updateOutput(Sum.scala:44)
        at com.intel.analytics.bigdl.dllib.nn.keras.KerasLayer.updateOutput(KerasLayer.scala:274)
        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractModule.forward(AbstractModule.scala:283)
        at com.intel.analytics.bigdl.dllib.nn.StaticGraph.updateOutput(StaticGraph.scala:62)
        at com.intel.analytics.bigdl.dllib.nn.keras.KerasLayer.updateOutput(KerasLayer.scala:274)
        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractModule.forward(AbstractModule.scala:283)
        at com.intel.analytics.bigdl.dllib.keras.autograd.CustomLoss.updateOutput(CustomLoss.scala:104)
        at com.intel.analytics.bigdl.dllib.keras.autograd.CustomLoss.updateOutput(CustomLoss.scala:66)
        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractCriterion.forward(AbstractCriterion.scala:73)
        at com.intel.analytics.bigdl.dllib.optim.LocalOptimizer.$anonfun$optimize$8(LocalOptimizer.scala:149)
        at scala.runtime.java8.JFunction0$mcD$sp.apply(JFunction0$mcD$sp.java:23)
        at com.intel.analytics.bigdl.dllib.utils.ThreadPool.$anonfun$invokeAndWait$2(ThreadPool.scala:133)
        at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
        at scala.util.Success.$anonfun$map$1(Try.scala:255)
        at scala.util.Success.map(Try.scala:213)
        at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
        at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
        at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
        at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        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)

        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractModule.forward(AbstractModule.scala:289)
        at com.intel.analytics.bigdl.dllib.nn.StaticGraph.updateOutput(StaticGraph.scala:62)
        at com.intel.analytics.bigdl.dllib.nn.keras.KerasLayer.updateOutput(KerasLayer.scala:274)
        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractModule.forward(AbstractModule.scala:283)
        at com.intel.analytics.bigdl.dllib.keras.autograd.CustomLoss.updateOutput(CustomLoss.scala:104)
        at com.intel.analytics.bigdl.dllib.keras.autograd.CustomLoss.updateOutput(CustomLoss.scala:66)
        at com.intel.analytics.bigdl.dllib.nn.abstractnn.AbstractCriterion.forward(AbstractCriterion.scala:73)
        at com.intel.analytics.bigdl.dllib.optim.LocalOptimizer.$anonfun$optimize$8(LocalOptimizer.scala:149)
        at scala.runtime.java8.JFunction0$mcD$sp.apply(JFunction0$mcD$sp.java:23)
        at com.intel.analytics.bigdl.dllib.utils.ThreadPool.$anonfun$invokeAndWait$2(ThreadPool.scala:133)
        at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
        at scala.util.Success.$anonfun$map$1(Try.scala:255)
        at scala.util.Success.map(Try.scala:213)
        at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
        at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
        at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
        at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        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)
piaolaidelangman commented 2 years ago

autoestimator_pytorch.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}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/automl/autoestimator/autoestimator_pytorch.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${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/automl/autoestimator/autoestimator_pytorch.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}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/automl/autoestimator/autoestimator_pytorch.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${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/automl/autoestimator/autoestimator_pytorch.py

Client Exception

2021-10-19 07:27:42,026 INFO tune.py:450 -- Total run time: 2.48 seconds (2.39 seconds for the tuning loop).
2021-10-19 07:27:42.238466: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/work/torch/install/lib:
2021-10-19 07:27:42.238500: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Evaluate: accuracy is 0.9975
Stopping orca context
*** Error in `python3 /opt/bigdl-0.14.0-SNAPSHOT/examples/orca/automl/autoestimator/autoestimator_pytorch.py': corrupted size vs. prev_size: 0x000055d94e5cc8b0 ***

Cluster Exception

2021-10-19 07:59:12.867840: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2021-10-19 07:59:12.867876: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Evaluate: accuracy is 0.9975
Stopping orca context
piaolaidelangman commented 2 years ago

AutoXGBoostClassifier.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}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/automl/autoxgboost/AutoXGBoostClassifier.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${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/automl/autoxgboost/AutoXGBoostClassifier.py \
  --path /home/airline_14col.data

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}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/automl/autoxgboost/AutoXGBoostClassifier.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${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/automl/autoxgboost/AutoXGBoostClassifier.py \
  --path /home/airline_14col.data

Client Exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/automl/autoxgboost/AutoXGBoostClassifier.py", line 24, in <module>
    from bigdl.orca.automl.xgboost import AutoXGBClassifier
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 656, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 626, in _load_backward_compatible
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/xgboost/__init__.py", line 16, in <module>
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 656, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 626, in _load_backward_compatible
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/xgboost/auto_xgb.py", line 18, in <module>
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 656, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 626, in _load_backward_compatible
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/auto_estimator.py", line 16, in <module>
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 656, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 626, in _load_backward_compatible
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/search/__init__.py", line 18, in <module>
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 656, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 626, in _load_backward_compatible
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/search/tensorboardlogger.py", line 44, in <module>
  File "/opt/work/conda/envs/bigdl/lib/python3.6/site-packages/torch/__init__.py", line 189, in <module>
    _load_global_deps()
  File "/opt/work/conda/envs/bigdl/lib/python3.6/site-packages/torch/__init__.py", line 142, in _load_global_deps
    ctypes.CDLL(lib_path, mode=ctypes.RTLD_GLOBAL)
  File "/opt/work/conda/envs/bigdl/lib/python3.6/ctypes/__init__.py", line 348, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: dlopen: cannot load any more object with static TLS
2021-10-19 07:50:17 INFO  ShutdownHookManager:57 - Shutdown hook called
2021-10-19 07:50:17 INFO  ShutdownHookManager:57 - Deleting directory /tmp/spark-16c432c8-d241-44c9-aaec-7ee29c65f8b4
2021-10-19 07:50:17 INFO  ShutdownHookManager:57 - Deleting directory /tmp/localPyFiles-da811fa6-efb5-4c1d-9cac-172cc159a9d4

Cluster Exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/automl/autoxgboost/AutoXGBoostClassifier.py", line 24, in <module>
    from bigdl.orca.automl.xgboost import AutoXGBClassifier
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/xgboost/__init__.py", line 16, 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/automl/xgboost/auto_xgb.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/automl/xgboost/XGBoost.py", line 19, in <module>
ModuleNotFoundError: No module named 'xgboost'
2021-10-19 08:01:45 INFO  ShutdownHookManager:57 - Shutdown hook called
2021-10-19 08:01:45 INFO  ShutdownHookManager:57 - Deleting directory /tmp/spark-8fb5d5a5-2706-4fcc-b331-e322498ac390
piaolaidelangman commented 2 years ago

AutoXGBoostRegressor.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}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/automl/autoxgboost/AutoXGBoostRegressor.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${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/automl/autoxgboost/AutoXGBoostRegressor.py \
  --path /home/data/incd.csv

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}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/automl/autoxgboost/AutoXGBoostRegressor.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${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/automl/autoxgboost/AutoXGBoostRegressor.py \
  --path /home/data/incd.csv

Client Exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/automl/autoxgboost/AutoXGBoostRegressor.py", line 21, in <module>
    from bigdl.orca.automl.xgboost import AutoXGBRegressor
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 656, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 626, in _load_backward_compatible
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/xgboost/__init__.py", line 16, in <module>
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 656, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 626, in _load_backward_compatible
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/xgboost/auto_xgb.py", line 18, in <module>
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 656, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 626, in _load_backward_compatible
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/auto_estimator.py", line 16, in <module>
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 656, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 626, in _load_backward_compatible
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/search/__init__.py", line 18, in <module>
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 656, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 626, in _load_backward_compatible
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/search/tensorboardlogger.py", line 44, in <module>
  File "/opt/work/conda/envs/bigdl/lib/python3.6/site-packages/torch/__init__.py", line 189, in <module>
    _load_global_deps()
  File "/opt/work/conda/envs/bigdl/lib/python3.6/site-packages/torch/__init__.py", line 142, in _load_global_deps
    ctypes.CDLL(lib_path, mode=ctypes.RTLD_GLOBAL)
  File "/opt/work/conda/envs/bigdl/lib/python3.6/ctypes/__init__.py", line 348, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: dlopen: cannot load any more object with static TLS
2021-10-19 08:20:34 INFO  ShutdownHookManager:57 - Shutdown hook called

Cluster Exception

2021-10-19 08:21:10 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/automl/autoxgboost/AutoXGBoostRegressor.py", line 21, in <module>
    from bigdl.orca.automl.xgboost import AutoXGBRegressor
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/automl/xgboost/__init__.py", line 16, 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/automl/xgboost/auto_xgb.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/automl/xgboost/XGBoost.py", line 19, in <module>
ModuleNotFoundError: No module named 'xgboost'
2021-10-19 08:21:12 INFO  ShutdownHookManager:57 - Shutdown hook called
2021-10-19 08:21:12 INFO  ShutdownHookManager:57 - Deleting directory /tmp/spark-6bafc421-1a84-4071-813a-11728a997ef9
2021-10-19 08:21:12 INFO  ShutdownHookManager:57 - Deleting directory /tmp/localPyFiles-aa526875-4444-4a62-9939-395548dacf36
ManfeiBai commented 2 years ago

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 commented 2 years ago

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 commented 2 years ago

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 commented 2 years ago

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
ManfeiBai commented 2 years ago

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 commented 2 years ago

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 commented 2 years ago

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 commented 2 years ago

fashion_mnist.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 bigdl2-fashion_mnist \
  --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.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/bigdl2.0/data \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/bigdl2.0/data \
  --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.container.image.pullPolicy=Always \
  --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}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/pytorch/fashion_mnist/fashion_mnist.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${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/pytorch/fashion_mnist/fashion_mnist.py

client exception

Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/pytorch/fashion_mnist/fashion_mnist.py", line 190, in <module>
    main()
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/pytorch/fashion_mnist/fashion_mnist.py", line 159, in main
    backend="bigdl")
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/pytorch/estimator.py", line 103, in from_torch
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/pytorch/estimator.py", line 294, 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/torch/torch_model.py", line 61, in from_pytorch
AttributeError: module 'types' has no attribute 'ClassType'
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 bigdl2-fashion_mnist \
  --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.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/bigdl2.0/data \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/bigdl2.0/data \
  --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.container.image.pullPolicy=Always \
  --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}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/pytorch/fashion_mnist/fashion_mnist.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${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}-${BIGDL_VERSION}-jar-with-dependencies.jar \
  local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/pytorch/fashion_mnist/fashion_mnist.py${SPARK_HOME}/bin/spark-submit \
  --master ${RUNTIME_SPARK_MASTER} \
  --deploy-mode cluster \
  --conf spark.kubernetes.authenticate.driver.serviceAccountName=${RUNTIME_K8S_SERVICE_ACCOUNT} \
  --name bigdl2-fashion_mnist \
  --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.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/bigdl2.0/data \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.options.claimName=${RUNTIME_PERSISTENT_VOLUME_CLAIM} \
  --conf spark.kubernetes.executor.volumes.persistentVolumeClaim.${RUNTIME_PERSISTENT_VOLUME_CLAIM}.mount.path=/bigdl2.0/data \
  --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.container.image.pullPolicy=Always \
  --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}-${BIGDL_VERSION}-python-api.zip,local:///opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/pytorch/fashion_mnist/fashion_mnist.py \
  --conf spark.driver.extraJavaOptions=-Dderby.stream.error.file=/tmp \
  --conf spark.sql.catalogImplementation='in-memory' \
  --conf spark.driver.extraClassPath=local://${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/pytorch/fashion_mnist/fashion_mnist.py

cluster exception

creating: createTorchLoss
creating: createTorchOptim
creating: createZooKerasAccuracy
Traceback (most recent call last):
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/pytorch/fashion_mnist/fashion_mnist.py", line 190, in <module>
    main()
  File "/opt/bigdl-0.14.0-SNAPSHOT/examples/orca/learn/pytorch/fashion_mnist/fashion_mnist.py", line 159, in main
    backend="bigdl")
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/pytorch/estimator.py", line 103, in from_torch
  File "/opt/bigdl-0.14.0-SNAPSHOT/python/bigdl-friesian-spark_3.1.2-0.14.0-SNAPSHOT-python-api.zip/bigdl/orca/learn/pytorch/estimator.py", line 294, 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/torch/torch_model.py", line 61, in from_pytorch
AttributeError: module 'types' has no attribute 'ClassType'
Stopping orca context

torchmodel's mnist/main.py imagenet/main.py resnet_finetune.py share same error.

qiuxin has update some source code in python/orca/src/bigdl/orca/torch/torch_model.py

Le-Zheng commented 2 years ago

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 commented 2 years ago

K8s-Orca-Exception in this issue: https://github.com/intel-analytics/analytics-zoo-internal/issues/24

piaolaidelangman commented 2 years ago

K8s client-mode test exception on new image in this issue: intel-analytics/analytics-zoo-internal#23