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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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.
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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 |
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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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