Skip to content

GitLab

Switch branch/tag
  1. 20 Sep, 2022 1 commit
  3. 14 Sep, 2022 1 commit
  5. 26 Aug, 2022 1 commit
  7. 16 Aug, 2022 1 commit
  9. 12 Aug, 2022 1 commit
  11. 29 Jul, 2022 2 commits
    • moto's avatar
      Enable CTC decoder in Windows (#2587) · 67cb420d
      moto authored 
      Summary:
This commit enables CTC decoder on Windows.

The functionality seems to work fine.
The tests are passing, the decoding tutorial runs fine.

The only difference to the Linux/macOS version is that
loading model in XZ compression format is not supported.

![289961785_399620772041679_7768117002438616376_n](https://user-images.githubusercontent.com/855818/181420923-cfbd8402-20de-4e63-b9e4-e39f9aa9fc50.png)

Pull Request resolved: https://github.com/pytorch/audio/pull/2587

Reviewed By: carolineechen, nateanl

Differential Revision: D38276490

Pulled By: mthrok

fbshipit-source-id: f2203b2235c5bbb0220fe560aaaf0e1d5530347a
      67cb420d
    • Zhaoheng Ni's avatar
      Improve speech enhancement tutorial (#2527) · d6267031
      Zhaoheng Ni authored 
      Summary:
- The "speech + noise" mixture still has a high SNR, which can't show the effectiveness of MVDR beamforming. To make the task more challenging, amplify the noise waveform to reduce the SNR of mixture speech.
- Show the Si-SNR score of mixture speech when visualizing the mixture spectrogram.
- FIx the figure in `rtf_power` subsection.
    - The description of enhanced spectrogram by `rtf_power` is wrong. Correct it to `rtf_power`.
- Print PESQ, STOI, and SDR metric scores.

Pull Request resolved: https://github.com/pytorch/audio/pull/2527

Reviewed By: mthrok

Differential Revision: D38190218

Pulled By: nateanl

fbshipit-source-id: 39562850a67f58a16e0a2866ed95f78c3f4dc7de
      d6267031
  13. 28 Jul, 2022 1 commit
    • Sean Kim's avatar
      Create tutorial for HDemucs (#2572) · 919fd0c4
      Sean Kim authored 
      Summary:
Add tutorial python file, draft PR, will continue to modify accordingly to feedback.

Future plan: modify spectrogram and bottom audio design and work on finding best audio track and segments

Pull Request resolved: https://github.com/pytorch/audio/pull/2572

Reviewed By: carolineechen, nateanl, mthrok

Differential Revision: D38234001

Pulled By: skim0514

fbshipit-source-id: fe9207864f354dec5cf5ff52bf7d9ddcf4a001d5
      919fd0c4
  15. 25 Jul, 2022 1 commit
  17. 15 Jul, 2022 1 commit
  19. 07 Jul, 2022 2 commits
  21. 29 Jun, 2022 1 commit
    • moto's avatar
      Fix build doc job (#2520) · ef8bd7b6
      moto authored 
      Summary:
The build doc job is failing these days due to the fact that CUDA 11.6 requires different handling.

Pull Request resolved: https://github.com/pytorch/audio/pull/2520

Reviewed By: xiaohui-zhang

Differential Revision: D37527088

Pulled By: mthrok

fbshipit-source-id: 34c23bdbf70ba9fb8e315c7036cff01b3ddf4c91
      ef8bd7b6
  23. 27 Jun, 2022 1 commit
  25. 15 Jun, 2022 1 commit
  27. 07 Jun, 2022 1 commit
  29. 02 Jun, 2022 1 commit
    • moto's avatar
      Remove mad (#2428) · d2ecba98
      moto authored 
      Summary:
Remove the code related to libmad, which had been disabled in https://github.com/pytorch/audio/issues/2354

In https://github.com/pytorch/audio/issues/2419, we mp3 decoding to ffmpeg. But CI tests were still using libmad.
This commit completely removes libmad from torchaudio.

This is BC-breaking change as `apply_sox_effects_file` function cannot handle MP3, and it cannot fallback to ffmpeg.
The workaround for this is to use `torchaudio.load` then `apply_sox_effects_tensor`.

Pull Request resolved: https://github.com/pytorch/audio/pull/2428

Reviewed By: carolineechen

Differential Revision: D36851805

Pulled By: mthrok

fbshipit-source-id: f98795c59a1ac61cef511f2bbeac37f7c3c69d55
      d2ecba98
  31. 01 Jun, 2022 1 commit
  33. 20 May, 2022 2 commits
  35. 19 May, 2022 1 commit
    • Eli Uriegas's avatar
      ci: Install libomp on macos (#2404) · 38cf5b7a
      Eli Uriegas authored 
      Summary:
To resolve nightly / general build issues relating to OpenMP not being found, see https://hud.pytorch.org/pytorch/audio/commit/c6a376cc5679c1940e49fc3e0ba22eaead6c2467



```
-- Found Torch: /Users/distiller/miniconda3/envs/env3.10/lib/python3.10/site-packages/torch/lib/libtorch.dylib
CMake Error at /Users/distiller/miniconda3/envs/env3.10/lib/python3.10/site-packages/cmake/data/CMake.app/Contents/share/cmake-3.22/Modules/FindPackageHandleStandardArgs.cmake:230 (message):
  Could NOT find OpenMP_C (missing: OpenMP_C_FLAGS OpenMP_C_LIB_NAMES)
Call Stack (most recent call first):
  /Users/distiller/miniconda3/envs/env3.10/lib/python3.10/site-packages/cmake/data/CMake.app/Contents/share/cmake-3.22/Modules/FindPackageHandleStandardArgs.cmake:594 (_FPHSA_FAILURE_MESSAGE)
  /Users/distiller/miniconda3/envs/env3.10/lib/python3.10/site-packages/cmake/data/CMake.app/Contents/share/cmake-3.22/Modules/FindOpenMP.cmake:544 (find_package_handle_standard_args)
  CMakeLists.txt:131 (find_package)

-- Configuring incomplete, errors occurred!
```
Signed-off-by: default avatarEli Uriegas <eliuriegas@fb.com>

Pull Request resolved: https://github.com/pytorch/audio/pull/2404

Reviewed By: atalman

Differential Revision: D36495791

Pulled By: seemethere

fbshipit-source-id: 7b6fa2a62fda6fc468cfcbdf8d2163e6b9c327b0
      38cf5b7a
  37. 16 May, 2022 1 commit
    • moto's avatar
      Update build_doc job to use Conda CUDA package (#2395) · 8fd60cc8
      moto authored 
      Summary:
This commit moves `build_doc` job to run on top of Conda binary
build job.

The motivation is that Conda provides easy access to third party
tools that are required to build complex documentation.

Specifically in https://github.com/pytorch/audio/pull/2393,
ipynb-style tutorial is being added, which requires `nbsphinx`.

`nbsphinx` requires `pandoc` package and there was some issue
with the version from PyPI. A workaround is to use the one from
Conda package.

Pull Request resolved: https://github.com/pytorch/audio/pull/2395

Reviewed By: carolineechen, nateanl

Differential Revision: D36404407

Pulled By: mthrok

fbshipit-source-id: 26ec5ebfd5be795384306a9f24817a2eb3ec96c1
      8fd60cc8
  39. 13 May, 2022 1 commit
    • moto's avatar
      Move Streamer API out of prototype (#2378) · 72b712a1
      moto authored 
      Summary:
This commit moves the Streaming API out of prototype module.

* The related classes are renamed as following

  - `Streamer` -> `StreamReader`.
  - `SourceStream` -> `StreamReaderSourceStream`
  - `SourceAudioStream` -> `StreamReaderSourceAudioStream`
  - `SourceVideoStream` -> `StreamReaderSourceVideoStream`
  - `OutputStream` -> `StreamReaderOutputStream`

This change is preemptive measurement for the possibility to add
`StreamWriter` API.

* Replace BUILD_FFMPEG build arg with USE_FFMPEG

We are not building FFmpeg, so USE_FFMPEG is more appropriate

 ---

After https://github.com/pytorch/audio/issues/2377

Remaining TODOs: (different PRs)
- [ ] Introduce `is_ffmpeg_binding_available` function.
- [ ] Refactor C++ code:
   - Rename `Streamer` to `StreamReader`.
   - Rename `streamer.[h|cpp]` to `stream_reader.[h|cpp]`.
   - Rename `prototype.cpp` to `stream_reader_binding.cpp`.
   - Introduce `stream_reader` directory.
- [x] Enable FFmpeg in smoke test (https://github.com/pytorch/audio/issues/2381)

Pull Request resolved: https://github.com/pytorch/audio/pull/2378

Reviewed By: carolineechen

Differential Revision: D36359299

Pulled By: mthrok

fbshipit-source-id: 6a57b702996af871e577fb7addbf3522081c1328
      72b712a1
  41. 11 May, 2022 1 commit
    • moto's avatar
      Move FFmpeg integrity test from conda smoke test to custom smoke test (#2381) · 9877f544
      moto authored 
      Summary:
Conda package build performs simple smoke test, which is different
from smoke_test jobs we define on our CI jobs.

Currently Conda packaging smoke test verifies the imporatability of
`torchaudio.prototype.io`, which requires FFmpeg 4.

1. We list FFmpeg 4 as runtime requirements, but this means that
conda's dependency resolver takes FFmpeg 4 into consideration.
FFmpeg 5 was release this year, and we can expect that user base
will move to FFmpeg gradually. If user environment has some constraint
on FFmpeg, torchaudio will have conflict and it will prevent users
from install torchaudio.

2. In #2377 the way optional dependency is checked/initialized is changed,
so this Conda smoke test will no longer check the integrity with FFmpeg libraries.

To solve the issues above, this commit moves the part that tests integrity with
FFmpeg libraries to the smoke test we define on CircleCI.

Pull Request resolved: https://github.com/pytorch/audio/pull/2381

Reviewed By: carolineechen

Differential Revision: D36323706

Pulled By: mthrok

fbshipit-source-id: 57ca816e0f3ad8e16d21e56062f6ed8a09ab93a3
      9877f544
  43. 10 May, 2022 1 commit
  45. 06 May, 2022 2 commits
    • moto's avatar
      Use custom FFmpeg libraries for torchaudio binary distributions (#2355) · b7624c60
      moto authored 
      Summary:
This commit changes the way torchaudio binary distributions are built.

* For all the binary distributions (conda/pip on Linux/macOS/Windnows), build custom FFmpeg libraries.
* The custom FFmpeg libraries do not use `--use-gpl` nor `--use-nonfree`, so that they stay LGPL.
* The custom FFmpeg libraries employ rpath so that the torchaudio binary distributions look for the corresponding FFmpeg libraries installed in the runtime environment.
* The torchaudio binary build process will use them to bootstrap its build process.
* The custom FFmpeg libraries are NOT shipped.

This commit also add disclaimer about FFmpeg in README.

Pull Request resolved: https://github.com/pytorch/audio/pull/2355

Reviewed By: nateanl

Differential Revision: D36202087

Pulled By: mthrok

fbshipit-source-id: c30e5222ba190106c897e42f567cac9152dbd8ef
      b7624c60
    • moto's avatar
      Refactor smoke test executions (#2365) · 6a8a28bb
      moto authored 
      Summary:
The smoke test jobs simply perform `import torchaudio` to check
if the package artifacts are sane.

Originally, the CI was executing it in the root directory.
This was fine unless the source code is checked out.
When source code is checked out, performing `import torchaudio` in
root directory would import source torchaudio directory, instead of the
installed package.

This error is difficult to notice, so this commit introduces common script to
perform the smoke test, while moving out of root directory.

Pull Request resolved: https://github.com/pytorch/audio/pull/2365

Reviewed By: carolineechen

Differential Revision: D36202069

Pulled By: mthrok

fbshipit-source-id: 4396f85fec5c54869ada4c08f51304539f1b05cf
      6a8a28bb
  47. 05 May, 2022 2 commits
  49. 28 Apr, 2022 2 commits
  51. 26 Apr, 2022 1 commit
  53. 25 Apr, 2022 1 commit
  55. 22 Apr, 2022 2 commits
  57. 21 Apr, 2022 1 commit
  59. 25 Feb, 2022 1 commit
    • Eli Uriegas's avatar
      ci: Limit scope of unittest to one python version (#2256) · 8c1db721
      Eli Uriegas authored 
      Summary:
Pull Request resolved: https://github.com/pytorch/audio/pull/2256



Limits scope of unittesting to one python version for both macOS and
Windows. These types of workflows are particularly expensive and take a
long time so running them on every PR / every push is a bit wasteful
considering the value in signal between different python versions is
probably negligible.
Signed-off-by: default avatarEli Uriegas <eliuriegas@fb.com>

Test Plan: Imported from OSS

Reviewed By: mthrok

Differential Revision: D34459626

Pulled By: seemethere

fbshipit-source-id: 47f5c317027f1b395edf9c1720b1b33ba689cad5
      8c1db721
  61. 24 Feb, 2022 2 commits
  63. 02 Feb, 2022 1 commit