GitLab

Summary:
Fix typo in release build step

Pull Request resolved: https://github.com/pytorch/audio/pull/2495

Reviewed By: hwangjeff

Differential Revision: D37176695

Pulled By: atalman

fbshipit-source-id: 37b4e30c1084e506f3a45cf7427784c955868909

Summary:
Fix push on release reference name
We want to compare it against refs/heads/release rather then release
Tests: https://github.com/atalman/vision/commit/af17cd95d2d43ca13354fb700e2da42108dd5a87
Sets correctly release chanell (wheels): https://github.com/atalman/vision/runs/6901327010?check_suite_focus=true

Pull Request resolved: https://github.com/pytorch/audio/pull/2492

Reviewed By: hwangjeff

Differential Revision: D37174090

Pulled By: atalman

fbshipit-source-id: e114972935572a701eb7daff429a0df0ed5a75e4

Summary:
Making sure we are picking correct release branch
Ref: https://github.com/pytorch/vision/pull/6168

Pull Request resolved: https://github.com/pytorch/audio/pull/2489

Reviewed By: mthrok

Differential Revision: D37160145

Pulled By: atalman

fbshipit-source-id: 3e4a2208cbe47f85147573159f9adb8d6a824956

Summary:
closes https://github.com/pytorch/audio/issues/2420

Pull Request resolved: https://github.com/pytorch/audio/pull/2479

Reviewed By: carolineechen

Differential Revision: D37142717

Pulled By: mthrok

fbshipit-source-id: c3d4cc1435a74dfa6992112590c988c2903511a8

Summary:
Lint style has diverged since fb-internal lint engine has been changed.

Backport of https://github.com/pytorch/audio/issues/2466.

Pull Request resolved: https://github.com/pytorch/audio/pull/2487

Reviewed By: carolineechen

Differential Revision: D37160193

Pulled By: mthrok

fbshipit-source-id: cf4e2091a78a0da53269ae1251a55d4d1e52ead2

Summary:
The version of MKL that is installed alongside PyTorch has been bumped
to 2022.1 on Windows and it is causing installation issue in unit tests.

This commit pins the previous version

Backport of https://github.com/pytorch/audio/issues/2463

Pull Request resolved: https://github.com/pytorch/audio/pull/2486

Reviewed By: nateanl

Differential Revision: D37160156

Pulled By: mthrok

fbshipit-source-id: 7e3a30c25782b349a3cad2ee6d1141affc921881

Summary:
Adding conda builds for M1

Pull Request resolved: https://github.com/pytorch/audio/pull/2473

Reviewed By: mthrok

Differential Revision: D37151454

Pulled By: atalman

fbshipit-source-id: 0108b937a4c7048bd4bb03b2b5a367704d7b78cc

Summary:
`load` function has `normalize` argument, which converts the native
sample type to `torch.float32`.

This argument is confusing for audio practitioners as it seems
to perform [volume normalization](https://en.wikipedia.org/wiki/Audio_normalization).

See https://github.com/pytorch/audio/issues/2253

Due to the BC-breaking concern, we cannot easily change the argument name.
This commit adds warnings to documentations.

Fix https://github.com/pytorch/audio/issues/2253

Pull Request resolved: https://github.com/pytorch/audio/pull/2449

Reviewed By: nateanl

Differential Revision: D36995756

Pulled By: carolineechen

fbshipit-source-id: 0b7db2758a355f6aafe06a2273bc72a1027690bd

Summary:
Fix typo in nightly m1 ref
See: https://github.com/pytorch/vision/pull/6158

Pull Request resolved: https://github.com/pytorch/audio/pull/2474

Reviewed By: malfet, mthrok

Differential Revision: D37117637

Pulled By: atalman

fbshipit-source-id: 2a8f7b5bf3506f2a53884424799919137870a0ad

Reviewed By: ivanmurashko

Differential Revision: D37103342

fbshipit-source-id: adc908c790a413384bd88a75d3c2b4b0974c6674

Summary:
Adding tagged builds for torchaudio
see: https://github.com/pytorch/vision/pull/6140

Pull Request resolved: https://github.com/pytorch/audio/pull/2471

Reviewed By: hwangjeff

Differential Revision: D37080828

Pulled By: atalman

fbshipit-source-id: 13d754f522510514f0148ba465ce12a320058722

Summary:
Split existing Pitchshift into multiple helper functions in order to cache kernel and speed up overall process addressing https://github.com/pytorch/audio/issues/2359.
Existing unit tests pass.

edit: functional and transforms unit test pass. Adopted lazy initialization to avoid BC-breaking.

Pull Request resolved: https://github.com/pytorch/audio/pull/2441

Reviewed By: carolineechen

Differential Revision: D36905582

Pulled By: skim0514

fbshipit-source-id: 6780db3ac8a29d59017a6abe7e82ce1fd17aaac2

Summary:
In https://github.com/pytorch/audio/issues/2461, `metadata` field was added to StreamInfo.
However, the value attached to this new field was source-level metadata,
while each stream can have different metadata.

* source level metadata
[AVFormatContext->metadata](https://ffmpeg.org/doxygen/4.1/structAVFormatContext.html#a3019a56080ed2e3297ff25bc2ff88adf)
* stream level metadata
[AVFormatContext->streams[]->metadata](https://ffmpeg.org/doxygen/4.1/structAVStream.html#a50d250a128a3da9ce3d135e84213fb82)

This commit moves source level metadata to dedicated method, `get_metadata`, and
fix the stream-level metadata to report stream metadata.

Pull Request resolved: https://github.com/pytorch/audio/pull/2464

Reviewed By: hwangjeff, xiaohui-zhang

Differential Revision: D36995452

Pulled By: mthrok

fbshipit-source-id: 534be1f7feb07790a0ce8624c336cdb7b65a8697

Summary:
https://output.circle-artifacts.com/output/job/75187a52-b0d8-4cac-89f3-24e10889a36a/artifacts/0/docs/hw_acceleration_tutorial.html

1. Update HW decoding tutorial to include file-like object
1. Add note about unseekable object int streaming API tutorial

Pull Request resolved: https://github.com/pytorch/audio/pull/2408

Reviewed By: hwangjeff

Differential Revision: D36632702

Pulled By: mthrok

fbshipit-source-id: 17be2fb8528cb1d2d1ee11901b6a95c512466feb

Summary:
The Streaming API tutorial has gotten long, so this commit split it into two.

Pull Request resolved: https://github.com/pytorch/audio/pull/2446

Reviewed By: hwangjeff

Differential Revision: D36987513

Pulled By: mthrok

fbshipit-source-id: 13e3aad74c0d0e654c39c0eeceffca1a00b0dac4

Summary:
Add metadata, such as ID3 (https://github.com/pytorch/audio/commit/7d98db0567cb60fabcc173949b8c08e3a3487ac2)tag to `StreamReaderSourceAudioStream`.

Pull Request resolved: https://github.com/pytorch/audio/pull/2461

Reviewed By: hwangjeff

Differential Revision: D36985656

Pulled By: mthrok

fbshipit-source-id: e66f9e6e980eb57c378cc643a8979b6b7813dae7

Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/2460

Reviewed By: nateanl, mthrok

Differential Revision: D36992043

Pulled By: hwangjeff

fbshipit-source-id: 3a2a7f8991beaeaa2af0f620985230a68df201c2

Summary:
Fixing return types for quesst14

Pull Request resolved: https://github.com/pytorch/audio/pull/2458

Reviewed By: carolineechen

Differential Revision: D36977139

Pulled By: skim0514

fbshipit-source-id: f8f5a2de7cab2de1bec49c529c3bb9316145403d

Summary:
ctc decoder has been moved to beta, remove prototype message from tutorial

(this is done on the release branch in https://github.com/pytorch/audio/issues/2457)

Pull Request resolved: https://github.com/pytorch/audio/pull/2459

Reviewed By: hwangjeff

Differential Revision: D36978417

Pulled By: carolineechen

fbshipit-source-id: e580c1e8475a1a0aa924d44deea3852adc332a86

Summary:
The PR contains the CTC fine-tuning recipe of HuBERT Base model.
The files include:
- lightning module
- training script
- README and the result table
- evaluation scripts

Pull Request resolved: https://github.com/pytorch/audio/pull/2352

Reviewed By: hwangjeff

Differential Revision: D36915712

Pulled By: nateanl

fbshipit-source-id: 0249635ad5e81a8aa2d228c1d5fe84d78b62a15b

Summary:
- Adopt `torchaudio.utils.download_asset` to simplify asset management.
- Break down the first section about helper functions.
- Use tempfile so that executing tutorial won't leave any artifacts on local file system.

Example: https://output.circle-artifacts.com/output/job/b11a0087-8bf9-4999-a74f-b53798eaa77f/artifacts/0/docs/tutorials/audio_io_tutorial.html

Pull Request resolved: https://github.com/pytorch/audio/pull/2385

Reviewed By: hwangjeff

Differential Revision: D36404399

Pulled By: mthrok

fbshipit-source-id: 106af34e8ddd22a061aa12767b444b32aef07bad

Summary:
At the time of release, we need to download doc built by CI.
CircleCI does not have feature to download multiple files.

This commit add the archive of built documentations as
CI artifact so that the whole documentation can be downloaded
at once.

Resolves https://github.com/pytorch/audio/issues/2340

Pull Request resolved: https://github.com/pytorch/audio/pull/2448

Reviewed By: hwangjeff

Differential Revision: D36942077

Pulled By: mthrok

fbshipit-source-id: 61dde0d71841434a3d0624404d99911aa6956f88

Summary:
Import StreamReader from the new location

Pull Request resolved: https://github.com/pytorch/audio/pull/2455

Reviewed By: nateanl

Differential Revision: D36959668

Pulled By: mthrok

fbshipit-source-id: c2b8c9f9dff1ec306ea39c495294faa9208b3c4e

Summary:
Address https://github.com/pytorch/audio/issues/2445

Pull Request resolved: https://github.com/pytorch/audio/pull/2450

Reviewed By: carolineechen

Differential Revision: D36945877

Pulled By: mthrok

fbshipit-source-id: c7f9ba8093c8dc03b27582b9c608b023c7700332

Summary:
With the default log-level, completely sane operation like converting
YUV to RGB issues bunch of warnings like

`[swscaler @ 0x128aa8000] No accelerated colorspace conversion found from yuv420p to rgb24.`

This commit sets the log level to FATAL.

Pull Request resolved: https://github.com/pytorch/audio/pull/2447

Reviewed By: hwangjeff

Differential Revision: D36938728

Pulled By: mthrok

fbshipit-source-id: 39c2e6a4307f1eac577fd606e17ab0f298079b54

Summary:
Pull Request resolved: https://github.com/pytorch/audio/pull/2437

Refactors LibriSpeech Lightning datamodule to accommodate different dataset implementations.

Reviewed By: carolineechen, nateanl

Differential Revision: D36731577

fbshipit-source-id: 4ba91044311fa3f99a928aef6ef411316955f6b5

Summary:
Undesired logs are one of the loudest UX complains we get.
Yet, loading media files involves uncertainty which is
difficult to debug without debug log.

This commit introduces utility functions to configure logging level
so that we can ask users to enable it when they encounter an issue,
while defaulting to non-verbose option.

Pull Request resolved: https://github.com/pytorch/audio/pull/2439

Reviewed By: hwangjeff, xiaohui-zhang

Differential Revision: D36903763

Pulled By: mthrok

fbshipit-source-id: f4ddd9915b13197c2a2eb97e965005b8b5b8d987

Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/2443

Reviewed By: nateanl

Differential Revision: D36909822

Pulled By: carolineechen

fbshipit-source-id: ef3ab2345e7a4666cf29dd02c83d03504e8aa62c

Summary:
- Adopt `torchaudio.utils.download_asset` to simplify asset management.
- Break down the first section about helper functions.
- Reduce the number of helper functions

https://output.circle-artifacts.com/output/job/d7dd1b93-6dfe-46da-a080-109bfdc63881/artifacts/0/docs/tutorials/audio_data_augmentation_tutorial.html

Pull Request resolved: https://github.com/pytorch/audio/pull/2388

Reviewed By: carolineechen

Differential Revision: D36404405

Pulled By: mthrok

fbshipit-source-id: f460ed810519797fce6e2fa7baaee110bddd1d06

Summary:
- Replace mis-use of plot_specgram with plot_sweep, and remove plot_specgram
- Move `benchmark_resample` to later section

https://output.circle-artifacts.com/output/job/9f7af187-777d-4d75-840f-2630a36295b7/artifacts/0/docs/tutorials/audio_resampling_tutorial.html

Pull Request resolved: https://github.com/pytorch/audio/pull/2386

Reviewed By: carolineechen

Differential Revision: D36404403

Pulled By: mthrok

fbshipit-source-id: f9df8453e3f531bdc4549b0134e5dbba90653bf7

Summary:
- Adopt torchaudio.utils.download_asset to simplify asset management.
- Break down the first section about helper functions.
- Reduce the number of helper functions

Pull Request resolved: https://github.com/pytorch/audio/pull/2391

Reviewed By: carolineechen, nateanl

Differential Revision: D36885626

Pulled By: mthrok

fbshipit-source-id: 1306f22ab70ab1e7f74ed7e43bf43150015448b6

Summary:
For test files where applicable, removed manual seeds where applicable. Refactoring https://github.com/pytorch/audio/issues/2267

Pull Request resolved: https://github.com/pytorch/audio/pull/2436

Reviewed By: carolineechen

Differential Revision: D36896854

Pulled By: skim0514

fbshipit-source-id: 7b4dd8a8dbfbef271f5cc56564dc83a760407e6c

Summary:
Refactor M1 logic
These improvement introduced in following PR: https://github.com/pytorch/vision/pull/6117

Pull Request resolved: https://github.com/pytorch/audio/pull/2438

Reviewed By: nateanl

Differential Revision: D36896028

Pulled By: atalman

fbshipit-source-id: 2ce360bfa78b2a7c77d5d4db800d487d171831a9

Summary:
Retrieve version from version.txt
These improvement introduced in following PR: https://github.com/pytorch/vision/pull/6117
In addition to this we add version.txt file to help us manage torchaudio version

Pull Request resolved: https://github.com/pytorch/audio/pull/2434

Reviewed By: mthrok

Differential Revision: D36867886

Pulled By: atalman

fbshipit-source-id: 14b6d653e46489d8db1c5ae2016a8202c632861e

Summary:
update QUESST14 getitem to include docstrings and additionally return sample rate

Pull Request resolved: https://github.com/pytorch/audio/pull/2435

Reviewed By: nateanl

Differential Revision: D36864254

Pulled By: carolineechen

fbshipit-source-id: 9e68bbc5de27ad2f32f6b298414103c4f6784801

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

Summary:
- Use `download_asset` to download audios.
- Replace `MVDR` module with new-added `SoudenMVDR` and `RTFMVDR` modules.
- Benchmark performances of `F.rtf_evd` and `F.rtf_power` for RTF computation.
- Visualize the spectrograms and masks.

Pull Request resolved: https://github.com/pytorch/audio/pull/2398

Reviewed By: carolineechen

Differential Revision: D36549402

Pulled By: nateanl

fbshipit-source-id: dfd6754e6c33246e6991ccc51c4603b12502a1b5

Summary:
This commit add fallback mechanism to `info` and `load` functions of sox_io backend.
If torchaudio is compiled to use FFmpeg, and runtime dependencies are properly loaded,
in case `info` and `load` fail, it fallback to FFmpeg-based implementation.

BC-breaking changes:
 - FFmpeg does not report the number of frames for MP3, this is because MP3 does not store the information of the number of frames. It can be estimated from the audio duration and sample rate, but it might be inaccurate, so we keep it 0.

Depends on
- https://github.com/pytorch/audio/issues/2416
- https://github.com/pytorch/audio/issues/2417
- https://github.com/pytorch/audio/issues/2418
- https://github.com/pytorch/audio/issues/2423
- https://github.com/pytorch/audio/issues/2427

Pull Request resolved: https://github.com/pytorch/audio/pull/2419

Reviewed By: carolineechen

Differential Revision: D36740306

Pulled By: mthrok

fbshipit-source-id: 9e2ad095b8b39e41404970de0d8d9b5aaa856c97

Summary:
Checks download flag and raises error when dataset is missing given download flag exists. Unit tested manually.

edit: Changed path to check as well as comment that is returned.

Pull Request resolved: https://github.com/pytorch/audio/pull/2430

Reviewed By: carolineechen

Differential Revision: D36815729

Pulled By: skim0514

fbshipit-source-id: f062db7919271665b88ec9754d85cfa83b4f6fa3

Summary:
A couple of weeks ago we started to see OpenMP not found error on macOS CI.
From https://github.com/pytorch/audio/issues/2404, we install OpenMP from brew, and build passes, but unit tests are seg-faulting ever since.

https://app.circleci.com/pipelines/github/pytorch/audio/10825/workflows/c0ecae99-d409-4df2-ab91-9bcb126c309d/jobs/671518

The failing test uses `torchaudio.functional.filitfilt`, which uses [OpenMP for parallel execution](https://github.com/pytorch/audio/blob/6057d3cf1c2f3a4c5072a3853a021bb8b4ce61f7/torchaudio/csrc/lfilter.cpp#L20).

This commit reverts https://github.com/pytorch/audio/issues/2404 and disables OpenMP for macOS builds and tests.

Pull Request resolved: https://github.com/pytorch/audio/pull/2431

Reviewed By: atalman

Differential Revision: D36819141

Pulled By: mthrok

fbshipit-source-id: 824300866a55f8b029d21649dc96cd80ae2ff697