GitLab

Summary:
The new version of transformers changed the format of pre-trained weight. Fixing it is low-priority for the maintanance team so we disable the test.

See https://github.com/pytorch/audio/issues/3430

Pull Request resolved: https://github.com/pytorch/audio/pull/3431

Differential Revision: D46592883

Pulled By: mthrok

fbshipit-source-id: d8f54a281a92cac60c469c48f95345bcf0e959d6

Summary:
- Moving the unit test scripts from .circleci to .github
- Remove docker file for unit test base
- Use the Conda from Docker image in Linux jobs.

Remaining follow-up items

- Reuse the unittest script in Linux GPU job like done in Linux CPU job.

The unit test script needs to be fixed to be used for Linux GPU job
in new GHA workflow. Keeping it as a separate follow-up work item.

Pull Request resolved: https://github.com/pytorch/audio/pull/3407

Differential Revision: D46498263

Pulled By: mthrok

fbshipit-source-id: d8256717a55bb4257151d819d3b2ebd453601eac

Summary:
As we migrate to use upstream flashlight-text and KenLM, this PR disable building CTC decoder by default.
This will stop shipping flashlight-text and KenLM bundle in torchaudio binary.

Ref: https://github.com/pytorch/audio/issues/3088

cc jacobkahn

Pull Request resolved: https://github.com/pytorch/audio/pull/3232

Reviewed By: hwangjeff

Differential Revision: D44650872

Pulled By: mthrok

fbshipit-source-id: 2415623abaf3cafa181135db5112d3c711137cd7

Summary:
Initial step to migrate to upstream CTC decoder.

https://circleci.com/api/v1.1/project/github/pytorch/audio/1174432/output/107/0?file=true&allocation-id=642636c6eaaa102ce75beb8e-0-build%2FB77C8AB

Pull Request resolved: https://github.com/pytorch/audio/pull/3225

Reviewed By: nateanl

Differential Revision: D44581338

Pulled By: mthrok

fbshipit-source-id: 1517fa0cd5e4ba001d136eb0dfc2a9349afcd2da

Summary:
In librosa 0.10 release, positional arguments are deprecated (see https://github.com/librosa/librosa/pull/1521 for details). The PR fixes the HiFiGAN unit test by using keyword arguments for `librosa.filters.mel` function.

Pull Request resolved: https://github.com/pytorch/audio/pull/3185

Reviewed By: mthrok

Differential Revision: D44218852

Pulled By: nateanl

fbshipit-source-id: 6171f7bec6a2144917697c1d640e701d95ec60d7

Summary:
replicate of https://github.com/pytorch/audio/issues/2644

Pull Request resolved: https://github.com/pytorch/audio/pull/2880

Reviewed By: mthrok

Differential Revision: D41633911

Pulled By: nateanl

fbshipit-source-id: 73cf145d75c389e996aafe96571ab86dc21f86e5

Summary:
Cuda 10.2 deprecation, migration of unit tests from cuda 10.2 to cuda 11.6

Pull Request resolved: https://github.com/pytorch/audio/pull/2724

Reviewed By: weiwangmeta

Differential Revision: D39912484

Pulled By: atalman

fbshipit-source-id: e760b630375eae94384cda68d24f83ef46ada6d9

Summary:
This commit adds FFmpeg-based encoder StreamWriter class.
StreamWriter is pretty much the opposite of StreamReader class, and
it supports;

* Encoding audio / still image / video
* Exporting to local file / streaming protocol / devices etc...
* File-like object support (in later commit)
* HW video encoding (in later commit)

See also: https://fburl.com/gslide/z85kn5a9 (Meta internal)

Pull Request resolved: https://github.com/pytorch/audio/pull/2628

Reviewed By: nateanl

Differential Revision: D38816650

Pulled By: mthrok

fbshipit-source-id: a9343b0d55755e186971dc96fb86eb52daa003c8

Summary:
Introducing pytorch-cuda metapackage

Same as: https://github.com/pytorch/vision/pull/6371
Following PR: https://github.com/pytorch/builder/pull/1094
Adds cuda metapackage called pytorch-cuda . This way we can make sure to install correct version of cuda dependencies and don't depend on conda-forge.

Pull Request resolved: https://github.com/pytorch/audio/pull/2612

Reviewed By: hwangjeff, seemethere, nateanl

Differential Revision: D38633332

Pulled By: atalman

fbshipit-source-id: 78a6115bb252ebdb6d66a57d7d2c4a4978ddb501

Summary:
Factory functions have been added to HDemucs class and test the implementation within the testing files.

Pull Request resolved: https://github.com/pytorch/audio/pull/2547

Reviewed By: carolineechen

Differential Revision: D37948600

Pulled By: skim0514

fbshipit-source-id: 7ac4e4a71519450cfbbc24ff7d7e70521f676040

Summary:
Fix for the cuda 11.6 and usage of cudatoolkit

Pull Request resolved: https://github.com/pytorch/audio/pull/2501

Reviewed By: mthrok

Differential Revision: D37388598

Pulled By: atalman

fbshipit-source-id: 41add7ad6fbb3d156cc1270625dc085c62f7a531

Summary:
All the unittests jobs are failing due to import error due to protobuf and scipy.
This commit pins the versions of them to an older version.

## protobuf

https://app.circleci.com/pipelines/github/pytorch/audio/10979/workflows/42005226-ca7e-471c-80f4-db09f4bd2089/jobs/692078

```
E   TypeError: Descriptors cannot not be created directly.
E   If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
E   If you cannot immediately regenerate your protos, some other possible workarounds are:
E    1. Downgrade the protobuf package to 3.20.x or lower.
E    2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
E
E   More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
```

https://github.com/protocolbuffers/protobuf/issues/10051
https://github.com/PyTorchLightning/pytorch-lightning/issues/13159

## scipy (pypocketfft)

1.8.1 is causing issue.

https://app.circleci.com/pipelines/github/pytorch/audio/10980/workflows/470a9361-4cc5-4d7c-9264-28fc8b86f1cb/jobs/692267

    ```
    ../env/lib/python3.9/site-packages/librosa/core/audio.py:11: in <module>
        import scipy.signal
    ../env/lib/python3.9/site-packages/scipy/signal/__init__.py:309: in <module>
        from . import _sigtools, windows
    ../env/lib/python3.9/site-packages/scipy/signal/windows/__init__.py:41: in <module>
        from ._windows import *
    ../env/lib/python3.9/site-packages/scipy/signal/windows/_windows.py:7: in <module>
        from scipy import linalg, special, fft as sp_fft
    ../env/lib/python3.9/site-packages/scipy/fft/__init__.py:91: in <module>
        from ._helper import next_fast_len
    ../env/lib/python3.9/site-packages/scipy/fft/_helper.py:3: in <module>
        from ._pocketfft import helper as _helper
    ../env/lib/python3.9/site-packages/scipy/fft/_pocketfft/__init__.py:3: in <module>
        from .basic import *
    ../env/lib/python3.9/site-packages/scipy/fft/_pocketfft/basic.py:6: in <module>
        from . import pypocketfft as pfft
    E   ImportError: /home/circleci/project/env/lib/python3.9/site-packages/torch/lib/../../../.././libstdc++.so.6: version `GLIBCXX_3.4.30' not found (required by /home/circleci/project/env/lib/python3.9/site-packages/scipy/fft/_pocketfft/pypocketfft.cpython-39-x86_64-linux-gnu.so)

Pull Request resolved: https://github.com/pytorch/audio/pull/2422

Reviewed By: atalman

Differential Revision: D36764198

Pulled By: mthrok

fbshipit-source-id: 897a79fe9c3165206c2e747147fd0f257fc4f683

Summary:
Adding py3.10 to audio

Pull Request resolved: https://github.com/pytorch/audio/pull/2224

Reviewed By: malfet, atalman, mthrok

Differential Revision: D34442377

Pulled By: seemethere

fbshipit-source-id: 2656de73427063958d609a74c01b526a476cb06a

Summary:
Adds unit tests for Emformer RNN-T LibriSpeech recipe. Also makes changes to recipe to resolve errors with pickling lambda functions in Windows.

Pull Request resolved: https://github.com/pytorch/audio/pull/2216

Reviewed By: nateanl

Differential Revision: D34171480

Pulled By: hwangjeff

fbshipit-source-id: 5fcebb457051f3041766324863728411180f5e1e

Summary:
This PR adds the prototype streaming API.
The implementation is based on ffmpeg libraries.

For the detailed usage, please refer to [the resulting tutorial](https://534376-90321822-gh.circle-artifacts.com/0/docs/tutorials/streaming_api_tutorial.html).

Pull Request resolved: https://github.com/pytorch/audio/pull/2164

Reviewed By: hwangjeff

Differential Revision: D33934457

Pulled By: mthrok

fbshipit-source-id: 92ade4aff2d25baf02c0054682d4fbdc9ba8f3fe

Summary:
This commit enables ffmpeg-feature build in tests and
binary builds of all platforms.
(Linux/macOS/Windows x conda/wheel)

It also moves the definition of BUILD_FFMPEG env vars to the
top level `config.yml`.

 ---
Manual checking if all the build log contains `libtorchaudio_ffmpeg`.
### binary build
- [x] `binary_linux_conda_py3.7_cpu`
- [x] `binary_linux_conda_py3.7_cu102`
- [x] `binary_linux_wheel_py3.7_cpu`
- [x] `binary_linux_wheel_py3.7_cu102`
- [x] `binary_macos_conda_py3.7_cpu`
- [x] `binary_macos_wheel_py3.7_cpu`
- [x] `binary_windows_conda_py3.7_cpu`
- [x] `binary_windows_conda_py3.7_cu113`
- [x] `binary_windows_wheel_py3.7_cpu`
- [x] `binary_windows_wheel_py3.7_cu113`

### test
- [x] `unittest_linux_cpu_py3.7`
- [x] `unittest_linux_gpu_py3.7`
- [x] `unittest_macos_cpu_py3.7`
- [x] `unittest_windows_cpu_py3.7`
- [x] `unittest_windows_gpu_py3.7`
- [x] `integration test`

Pull Request resolved: https://github.com/pytorch/audio/pull/2140

Reviewed By: hwangjeff

Differential Revision: D33464430

Pulled By: mthrok

fbshipit-source-id: 2c5b72be75d49019bf1599036180d4e56074e46b

Summary:
Preparation to land Python front-end of ffmpeg-related features.

- Set BUILD_FFMPEG=1 in Linux/macOS unit test jobs
- Install ffmpeg and pkg-config from conda-forge
- Add note about Windows build process
- Temporarily avoid `av_err2str`

Pull Request resolved: https://github.com/pytorch/audio/pull/2114

Reviewed By: hwangjeff

Differential Revision: D33371346

Pulled By: mthrok

fbshipit-source-id: b0e16a35959a49a2166109068f3e0cbbb836e888

Summary:
Similar to https://github.com/pytorch/vision/pull/4788
Make sure the workflow could download right PyTorch with cpu or cuda in case nightly build wasn't ready at that day.

https://app.circleci.com/pipelines/github/pytorch/audio/8427/workflows/11a80738-bcdd-45e3-b37f-328be36c60ee/jobs/438285?invite=true#step-107-542

![image](https://user-images.githubusercontent.com/16190118/142969390-142df7ec-6040-40c1-9a02-17d43f5de05e.png)

Pull Request resolved: https://github.com/pytorch/audio/pull/2026

Reviewed By: hwangjeff, nateanl

Differential Revision: D32634926

Pulled By: mthrok

fbshipit-source-id: 30d6349a0a2ce174b789a5888b1c8e0544a23a37

This commit changes the build process so that the third party code are fetched automatically when `setup.py` is invoked.

This is to allow
1. `build_sdist` to contain the third party library codes, so that source code distribution created at the time release tag is created is complete.
2. It makes it possible to do `pip install https://github.com/pytorch/audio.git`.
    Example:
    ```
    !pip install 'cmake>=3.18' ninja
    !pip install --verbose git+https://github.com/pytorch/audio.git@auto-source
    ```

* Default to BUILD_SOX=1 in non-Windows systems

Since the adaptation of CMake and restricting to the static linking of libsox,
the build process has become much robust with libsox integration enabled.

This commit makes it default behavior to build libsox integration in non-Windows systems.
The build process still checks BUILD_SOX env var so, setting `BUILD_SOX=0` disables it.

* Pin MKL to 2021.2.0

Fixes https://github.com/pytorch/pytorch/issues/62424

* Apply the same  constraint for conda builds

Use less-than-equals constraint to avoid dependency conflicts for
python-3.6 environment

There are some issues on CMake-based integration after 2021-06-19.

```
  Imported target "torch" includes non-existent path
    "/opt/conda/conda-bld/pytorch_1624259172741/work/torch/lib"
  in its INTERFACE_INCLUDE_DIRECTORIES.  Possible reasons include:
  * The path was deleted, renamed, or moved to another location.
  * An install or uninstall procedure did not complete successfully.
  * The installation package was faulty and references files it does not provide.
```

This is being worked on PR like https://github.com/pytorch/pytorch/pull/60403.
The nightly builds are still causing the error, so as a workaround, 
we pin the nightly build version for Linux/macOS unittest.
The issue still happens on Windows unittest and binary builds.

Numpy is a dependency of pytorch so we should let it get resolved as it
install pytorch
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* Switch to cmake for build
* Hide symbols

* Do not install sox system-wide, so that it will never get mixed up with static one torchaudio builds
* Do not install cmake system-wide
* Move libsndfile installation to Docker image

We have been running unit test with editable installation. (i.e. `python setup.py develop`), with which we missed issues like #842. 

This CC makes installation in CI non-editable, and change test directory structure so that the source code will not shadow the installed version of `torchaudio`. With simple `pytest test`, `pytest` modifies `sys.path` and prepend checked out repository, which shadows the installed version.

To remedy this, the whole test suites has been moved from `./test` to `./test/torchaudio_unittest`. This adds nice module structure to our test code and we can do absolute import in each test module, which makes it possible again to run test with `python -m unittest torchaudio_unittest/XXX.py`

This change does not affect the regular development process (`python setup.py develop` && `pytest test`)