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A Docker container is an instance created from a Docker image. We provide RPE as a Docker images which you can download from here. This is the type available: min: the minimal version for CPU instances.

Below is the list of Python libraries in the ds and ds-cuda9-cudnn7 tags. 

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Library

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Version

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simplejson

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3.16.0

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requests

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2.20.0

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jsonpickle

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1.0

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python-dateutil

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2.7.4

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more-itertools

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4.3.0

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pydub

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0.23.0

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numpy

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1.15.3

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scipy

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1.1.0

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scikit-learn

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0.20.0

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xgboost

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0.80

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lightgbm

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2.2.1

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pillow

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5.3.0

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bokeh

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0.13.0

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pandas

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0.23.4

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tensorflow

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1.5.0

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keras

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2.2.4

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nltk

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3.3

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textblob

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0.15.1

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CPU Instance

Execute the following command to start the RPE container minimal version:

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Execute the following command to start the RPE container minimal version for GPU instance:

Code Block
sudo docker pull snaplogic/rpe:min-cuda9-cudnn7
sudo docker run --runtime=nvidia --memory-swap="-1" --restart=always -dti -p 5301:5301 -e "REMOTE_PYTHON_EXECUTOR_TOKEN=" -v /opt/remote_python_executor_log/:/opt/remote_python_executor_log/ --name=rpe snaplogic/rpe:min-cuda9-cudnn7   

Options

The following table describes each option:

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