GitLab

Differential Revision: D50696105

Pull Request resolved: https://github.com/pytorch/audio/pull/3682

Differential Revision: D50506299

Pull Request resolved: https://github.com/pytorch/audio/pull/3669

Differential Revision: D50082877

Pull Request resolved: https://github.com/pytorch/audio/pull/3646

Differential Revision: D49965263

Pull Request resolved: https://github.com/pytorch/audio/pull/3639

Summary:
This reverts commit b7d3e89a.

We will use pre-built binaries instead of dlopen.

Pull Request resolved: https://github.com/pytorch/audio/pull/3456

Differential Revision: D47239681

Pulled By: mthrok

fbshipit-source-id: 0446a62410d914081184fc20c386afa00b1e41b6

Summary:
Pull Request resolved: https://github.com/pytorch/audio/pull/3402

This is a second attempt of https://github.com/pytorch/audio/pull/3353.

The basic logic to enable dlopen for FFmpeg libraries are same.
It uses `at::DynamicLibrary`, which allows to compile torchaudio without
linking FFmpeg libraries.

This time, the option to enable this feature DLOPEN_FFMPEG has been added,
so that users have a way to disable this feature and keep using build-time
linking.

Please refer to stub.h for more technical detail.

Differential Revision: D46403783

fbshipit-source-id: ca3db57ff6bdc50c8c225d22f12f3e76c6dc3f16

Differential Revision:
D46059199

Original commit changeset: 4493a5fd8a4c

Original Phabricator Diff: D46059199

fbshipit-source-id: 71cde3f8cd870d1ad9114e3e87cdd1ba564441c0

Summary:
This commit changes the way FFmpeg extension is built and used.
Instead of linking (LGPL) FFmpeg libraries to torchaudio at build time,
It uses dlopen to search and link them at run time.

For dlopen-ing, we use PyTorch's `at::DynamicLibrary` class, which provides
portable wrapper.

Pull Request resolved: https://github.com/pytorch/audio/pull/3353

Differential Revision: D46059199

Pulled By: mthrok

fbshipit-source-id: 4493a5fd8a4c802178d20276522f5334d637307d

Summary:
Pull Request resolved: https://github.com/pytorch/audio/pull/3205

This commit refactors the initialization of EncodeProcess.

Interface-wise, the signature of the constructor of EncodeProcess
has made simpler just to take rvalues of its components, and the
initialization of the components have been moved to helper functions.

Implementat-wise, the order that the components are initialized is
revised, and the source of initialization parameters is also revised.

For example, the original implementation first creates AVCodecContext,
and passes it around to create the other components. This relied on
an assumption that parameters AVCodecContext has (such as image size
and sample rate) are same as the source data. This is not always right,
and as we will introduce custom filter graph and allow on-the-fly
transform of rates and dimensions, it will become even less correct.

The new initialization constructs source AVFrame, TensorConverter and
FilterGraph from source attributes. This makes it easy to introduce
on-the-fly transform.

Reviewed By: nateanl

Differential Revision: D44360650

fbshipit-source-id: bf0e77dc1a5a40fc8e9870c50d07339d812762e8

Summary:
Pull Request resolved: https://github.com/pytorch/audio/pull/3104

Continuation of StreamWriter refactoring

This commit extract Encoder (+muxer) from OutputStream

Reviewed By: nateanl

Differential Revision: D43610887

fbshipit-source-id: 30a9862b1aabd5af331ce3f33a5815df1decbad1