SPEC: https://pbrobinson.fedorapeople.org/python-torchcodec.spec
SRPM: https://pbrobinson.fedorapeople.org/python-torchcodec-0.16.0-1.fc44.src.rpm

Description:
TorchCodec is a Python library for decoding video and audio data into
PyTorch tensors, on CPU and CUDA GPU. It also supports video and audio
encoding on CPU! It aims to be fast, easy to use, and well integrated
into the PyTorch ecosystem. If you want to use PyTorch to train ML models
on videos and audio, TorchCodec is how you turn these into data.

We achieve these capabilities through:
* Pythonic APIs that mirror Python and PyTorch conventions.
* Relying on FFmpeg to do the decoding and encoding. TorchCodec uses the
version of FFmpeg you already have installed. FFmpeg is a mature library
with broad coverage available on most systems. It is, however, not easy
to use. TorchCodec abstracts FFmpeg's complexity to ensure it is used
correctly and efficiently.
* Returning data as PyTorch tensors, ready to be fed into PyTorch
transforms or used directly to train models.

FAS: pbrobinson

koji: https://koji.fedoraproject.org/koji/taskinfo?taskID=150522178