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documentation: Update link to Sagemaker PyTorch Docker Containers #1998

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Dec 2, 2020
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documentation: Update link to Sagemaker PyTorch Docker Containers #1998

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fix: Update link to Sagemaker PyTorch Docker Containers in documentation
NickHilton Nov 20, 2020
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Merge branch 'master' into patch-1
ajaykarpur Dec 2, 2020
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2 changes: 1 addition & 1 deletion doc/frameworks/pytorch/using_pytorch.rst
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Expand Up @@ -132,7 +132,7 @@ Using third-party libraries
---------------------------

When running your training script on SageMaker, it will have access to some pre-installed third-party libraries including ``torch``, ``torchvision``, and ``numpy``.
For more information on the runtime environment, including specific package versions, see `SageMaker PyTorch Docker containers <https://github.com/aws/sagemaker-python-sdk/tree/master/src/sagemaker/pytorch#sagemaker-pytorch-docker-containers>`_.
For more information on the runtime environment, including specific package versions, see `SageMaker PyTorch Docker containers <https://github.com/aws/deep-learning-containers/tree/master/pytorch>`_.

If there are other packages you want to use with your script, you can include a ``requirements.txt`` file in the same directory as your training script to install other dependencies at runtime. Both ``requirements.txt`` and your training script should be put in the same folder. You must specify this folder in ``source_dir`` argument when creating PyTorch estimator.

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