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Expand BYOC (aws#81)
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README.md

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@@ -99,7 +99,7 @@ Amazon SageMaker Debugger can be used inside or outside of SageMaker. There are
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The reason for different setups is that SageMaker Zero-Script-Change (via Deep Learning Containers) uses custom framework forks of TensorFlow, PyTorch, MXNet, and XGBoost to save tensors automatically.
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These framework forks are not available in custom containers or non-SM environments, so you must modify your training script in these environments.
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See the [SageMaker page](docs/sagemaker.md) for details on SageMaker Zero-Code-Change and BYOC experience.\
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See the [SageMaker page](docs/sagemaker.md) for details on SageMaker Zero-Code-Change and Bring-Your-Own-Container (BYOC) experience.\
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See the frameworks pages for details on modifying the training script:
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- [TensorFlow](docs/tensorflow.md)
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- [PyTorch](docs/pytorch.md)

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