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Add 6.1.0 link fix to develop #143

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2 changes: 1 addition & 1 deletion docs/how-to/framework.rst
Original file line number Diff line number Diff line change
Expand Up @@ -216,6 +216,6 @@ Run Resnet50 classification training with rocAL
* Option to map the localhost directory with imagenet dataset folder to be accessed on the docker image.
* Usage: ``-v {LOCAL_HOST_DIRECTORY_PATH}:{DOCKER_DIRECTORY_PATH}``

#. To see and run a sample training script, refer to `rocAL Imagenet example <https://github.com/ROCm/rocAL/tree/master/rocAL/docs/examples/pytorch/imagenet_training>`_.
#. To see and run a sample training script, refer to `rocAL Imagenet example <https://github.com/ROCm/rocAL/tree/master/docs/examples/pytorch/imagenet_training>`_.


2 changes: 1 addition & 1 deletion docs/how-to/using-with-python.rst
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Expand Up @@ -261,7 +261,7 @@ To run the pipeline, see:
rocAL Data Types
=========================

All the rocAL data types are defined under `amd.rocal.types <https://github.com/ROCm/rocAL/blob/master/rocAL/rocAL_pybind/amd/rocal/types.py>`_. Import this library in the application to access the various data types such as rocAL status, processing mode, tensor output type, image size evaluation policy, image color, tensor layout, decode device, resize scaling mode, and resize interpolation type.
All the rocAL data types are defined under `amd.rocal.types <https://github.com/ROCm/rocAL/blob/master/rocAL_pybind/amd/rocal/types.py>`_. Import this library in the application to access the various data types such as rocAL status, processing mode, tensor output type, image size evaluation policy, image color, tensor layout, decode device, resize scaling mode, and resize interpolation type.

Here are some of the commonly used rocAL data types:

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