GitLab

Summary:
The unit test failures seems to be caused by [conda 4.11](https://github.com/conda/conda/issues/11096)
Remove conda update line fixes the issue.

Pull Request resolved: https://github.com/pytorch/audio/pull/2069

Reviewed By: carolineechen

Differential Revision: D33023851

Pulled By: nateanl

fbshipit-source-id: 73246189d4ccc541e366a5367f532a5b456af8f8

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.

This code was added as a part of investigation of inconsistent behavior
of file-like object support. Now the investigation is done and this code
does not provide much insight yet adding a bunch of lines to the log, so
this PR removes it.

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

So that when a test fails in flaky manner, we can look into the difference.

* 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

Changing the test Docker image for GPU tests to use Nvidia Docker `devel` image. This is necessary for #1187. 

This reverts commit 84966ae1.

This reverts commit 1ecbc249.

Reason: The macOS CI jobs are stuck with xdist recently.

Upstream is on 9.4.1 and we were experiencing issues when conda-build
was attempting to check for overlinking and failed out due to some files
not existing in xcode 9.0
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

librosa 0.8.0 has been released which include fix for
https://github.com/librosa/librosa/issues/1160 at
https://github.com/librosa/librosa/pull/1164