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Description
- Kubernetets cluster env @ Almaren 200
- Jenkins Slave and Kubernetes client env
- Hyper Zoo Doicker image build job
- dllib examples
- orca examples
- chronos examples [BigDL2.0 k8s] add tests for chronos/friesian and dllib scala #18
- friesian examples [BigDL2.0 k8s] add tests for chronos/friesian and dllib scala #18
- dllib scala examples [BigDL2.0 k8s] add tests for chronos/friesian and dllib scala #18
dllib examples
Module | Example | Added | Client Mode | Cluster Mode |
---|---|---|---|---|
autograd | custom.py | Y | Succeed | Succeed |
autograd | customloss.py | Y | Succeed | Succeed |
nnframes | imageInference | Y | Succeed | Succeed |
nnframes | imageTransferLearning | Y | Succeed | Succeed |
orca examples
Module | Example | Added | Client Mode | Cluster Mode |
---|---|---|---|---|
automl | autoestimator/autoestimator_pytorch.py (#30) | N | #22 | #22 |
automl | autoxgboost/AutoXGBoostClassifier.p (#27) | N | #22 | #22 |
automl | autoxgboost/AutoXGBoostRegressor.py (#27) | N | #22 | #22 |
data | spark_pandas.py | Y | Succeed | Succeed |
bigdl | learn/bigdl/attention/transformer.py | Y | Succeed | Succeed |
bigdl | learn/bigdl/imageInference/imageInference.py | Y | Succeed | Succeed |
horovod | learn/horovod/pytorch_estimator.py | Y | Succeed | Succeed |
horovod | simple_horovod_pytorch.py | Y | Succeed | Succeed |
mxnet | learn/mxnet/lenet_mnist.py | Y | Succeed | Succeed |
openvino | learn/openvino/predict.py | N | N | #17 |
pytorch | learn/pytorch/cifar10/cifar10.py | Y | Succeed | Succeed |
pytorch | learn/pytorch/fashion_mnist/fashion_mnist.py | Y | Succeed | Succeed |
pytorch | learn/pytorch/super_resolution/super_resolution.py | Y | Succeed | Succeed |
tf | learn/tf/basic_text_classification/basic_text_classification.py | Y | Succeed | Succeed |
tf | learn/tf/image_segmentation/image_segmentation.py | Y | Succeed | Succeed |
tf | learn/tf/inception/inception.py | Y | Succeed | Succeed |
tf | learn/tf/transfer_learning/transfer_learning.py | Y | Succeed | Succeed |
tf2 | learn/tf2/resnet/resnet-50-imagenet.py | N | Succeed | Succeed |
tf2 | learn/tf2/yolov3/yoloV3.py | Y | Succeed | Succeed |
ray_on_spark | ray_on_spark/parameter_server/async_parameter_server.py | Y | Succeed | Succeed |
ray_on_spark | ray_on_spark/parameter_server/sync_parameter_server.py | Y | Succeed | Succeed |
ray_on_spark | ray_on_spark/rl_pong/rl_pong.py | Y | Succeed | Succeed |
ray_on_spark | ray_on_spark/rl_pong/rl_pong.py | Y | Succeed | Succeed |
ray_on_spark | ray_on_spark/rllib/multiagent_two_trainers.py | Y | Succeed | Succeed |
tfpark | tfpark/estimator/estimator_dataset.py | Y | Succeed | #17 |
tfpark | tfpark/estimator/estimator_inception.py | Y | Succeed | #17 |
tfpark | tfpark/estimator/pre-made-estimator.py | Y | Succeed | #17 |
tfpark | tfpark/gan/gan_train_and_evaluate.py | Y | Succeed | #17 |
tfpark | tfpark/keras/keras_dataset.py | Y | Succeed | #17 |
tfpark | tfpark/keras/keras_ndarray.py | Y | Succeed | #17 |
tfpark | tfpark/tf_optimizer/evaluate.py | Y | Succeed | #17 |
tfpark | tfpark/tf_optimizer/train.py | Y | Succeed | #17 |
torchmodel | torchmodel/train/imagenet/main.py | Y | Succeed | #17 |
torchmodel | torchmodel/train/mnist/main.py | Y | Succeed | #17 |
torchmodel | torchmodel/train/resnet_finetune/resnet_finetune.py | Y | Succeed | #17 |
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