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Updated the comment for —multi-gpu option.
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docs/Training-ML-Agents.md

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@@ -148,7 +148,7 @@ environment, you can set the following command line options when invoking
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[here](https://docs.unity3d.com/Manual/CommandLineArguments.html) for more
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details.
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* `--debug`: Specify this option to enable debug-level logging for some parts of the code.
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* `--multi-gpu`: Whether to use multiple GPU training.
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* `--multi-gpu`: Setting this flag enables the use of multiple GPU's (if available) during training.
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### Training Config File
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ml-agents/mlagents/trainers/learn.py

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@@ -308,7 +308,7 @@ def main():
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--docker-target-name=<dt> Docker volume to store training-specific files [default: None].
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--no-graphics Whether to run the environment in no-graphics mode [default: False].
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--debug Whether to run ML-Agents in debug mode with detailed logging [default: False].
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--multi-gpu Whether to use multiple GPU training [default: False].
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--multi-gpu Setting this flag enables the use of multiple GPU's (if available) during training [default: False].
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"""
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options = docopt(_USAGE)

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