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dvrogozh merged 1 commit into from
Feb 26, 2026
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doc: fix typos #1

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4 changes: 2 additions & 2 deletions CONTRIBUTING.md
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Expand Up @@ -2,7 +2,7 @@

## License

The project is licensed under the terms in [LICENSE](./LICENCE). By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.
The project is licensed under the terms in [LICENSE](./LICENSE). By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.

Please use the sign-off line at the end of the patch. Your signature certifies that you wrote the patch or otherwise have the right to pass it on as an open-source patch following http://developercertificate.org/ certification. The sign-off line must look like the following:

Expand Down Expand Up @@ -41,7 +41,7 @@ git clone https://github.com/dvrogozh/torchcodec.git && cd torchcodec
git am $TORCHCODEC_XPU_PATH/patches/0001-Add-XPU-support-to-tests.patch
```

The patch file can be reviewed [here](packages/torchcodec-xpu/0001-Add-XPU-support-to-tests.patch). The patch is known to apply clean on the following TorchCodec versions: `v0.10.0`.
The patch file can be reviewed [here](packages/torchcodec-xpu/patches/0001-Add-XPU-support-to-tests.patch). The patch is known to apply clean on the following TorchCodec versions: `v0.10.0`.

TorchCodec tests require some additional packages. Install them as follows:

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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -13,9 +13,9 @@ At the moment project provides plugins for the following frameworks:

### Intel® XPU plugin for TorchCodec

[TorchCodec] is a high-performance Python library designed for media processing (decoding and encoding) using PyTorch* tensors. Intel® XPU plugin for [TorchCodec] enables hardware acceleration for video operations (only decoding at the moment) on Linux. Both TorchCodec and Intel® plugin rely on the FFmpeg libraries for their operations which must be pre-installed on the system. Intel® plugin further assumes that FFmpeg is built with the VAAPI support.
[TorchCodec] is a high-performance Python library designed for media processing (decoding and encoding) using PyTorch* tensors. Intel® XPU plugin for [TorchCodec] enables hardware acceleration for video operations (only decoding at the moment) on Linux. Both [TorchCodec] and Intel® plugin rely on the FFmpeg libraries for their operations which must be pre-installed on the system. Intel® plugin further assumes that FFmpeg is built with the VAAPI support.

To use Intel® XPU plugin for [TorchCodec], load it in the Python script and pass XPU device to initialize TorchCodec decoder or encoder:
To use Intel® XPU plugin for [TorchCodec], load it in the Python script and pass XPU device to initialize [TorchCodec] decoder or encoder:

```
import torchcodec
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4 changes: 2 additions & 2 deletions packages/torchcodec-xpu/README.md
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# Intel Plugin for TorchCodec

[TorchCodec] is a high-performance Python library designed for media processing (decoding and encoding) using PyTorch* tensors. Intel® XPU plugin for [TorchCodec] enables hardware acceleration for video operations (only decoding at the moment) on Linux. Both TorchCodec and Intel® plugin rely on the FFmpeg libraries for their operations which must be pre-installed on the system. Intel® plugin further assumes that FFmpeg is built with the VAAPI support.
[TorchCodec] is a high-performance Python library designed for media processing (decoding and encoding) using PyTorch* tensors. Intel® XPU plugin for [TorchCodec] enables hardware acceleration for video operations (only decoding at the moment) on Linux. Both [TorchCodec] and Intel® plugin rely on the FFmpeg libraries for their operations which must be pre-installed on the system. Intel® plugin further assumes that FFmpeg is built with the VAAPI support.

To use Intel® XPU plugin for [TorchCodec], load it in the Python script and pass XPU device to initialize TorchCodec decoder or encoder:
To use Intel® XPU plugin for [TorchCodec], load it in the Python script and pass XPU device to initialize [TorchCodec] decoder or encoder:

```
import torchcodec
Expand Down