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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

Summary:
libmad integration should be enabled only from source-build

Pull Request resolved: https://github.com/pytorch/audio/pull/2354

Reviewed By: nateanl

Differential Revision: D36012035

Pulled By: mthrok

fbshipit-source-id: adeda8cbfd418f96245909cae6862b648a6915a7

Summary:
This PR adds `BUILD_FFMPEG` switch to torchaudio build process so that features related to ffmpeg are built.
The flag is false by default, so no CI jobs or development flow are affected.

This is because handling the dependencies around ffmpeg is a bit tricky.
Currently, the CMake file uses `pkg-config` to find an ffmpeg installation in the system.
This works fine for both conda-based installation and system-managed installation (like `apt`).

In subsequent PRs, I will find a solution that works for local development and binary distributions.

Pull Request resolved: https://github.com/pytorch/audio/pull/2048

Reviewed By: hwangjeff, nateanl

Differential Revision: D33367260

Pulled By: mthrok

fbshipit-source-id: 94517acecb62bd6d4e96d4b7cbc3ab3c2a25706c

Summary:
Pull Request resolved: https://github.com/pytorch/audio/pull/2096

run: `arc lint --apply-patches --paths-cmd 'hg files -I "./**/*.py"'`

Reviewed By: mthrok

Differential Revision: D33297351

fbshipit-source-id: 7bf5956edf0717c5ca90219f72414ff4eeaf5aa8

Summary:
After all the C++ code from https://github.com/pytorch/audio/issues/2072 are added, this commit will enable decoder/KenLM integration in the build process.

Pull Request resolved: https://github.com/pytorch/audio/pull/2078

Reviewed By: carolineechen

Differential Revision: D33198183

Pulled By: mthrok

fbshipit-source-id: 9d7fa76151d06fbbac3785183c7c2ff9862d3128

Summary:
Add KenLM and its dependencies required for static build (`zlib`, `bzip2`, `lzma` and `boost-thread`).

The KenLM and its dependencies are build but since no corresponding code on torchaudio side is changed, the resulting torchaudio extension module is not changed. (therefore, as long as build process passes on CI this PR should be good to go.)

Pull Request resolved: https://github.com/pytorch/audio/pull/2076

Reviewed By: carolineechen

Differential Revision: D33189980

Pulled By: mthrok

fbshipit-source-id: 6096113128b939f3cf70990c99aacc4aaa954584

Summary:
Resolves https://github.com/pytorch/audio/issues/2049, https://github.com/pytorch/audio/issues/1940

Pull Request resolved: https://github.com/pytorch/audio/pull/2050

Reviewed By: nateanl

Differential Revision: D32712513

Pulled By: mthrok

fbshipit-source-id: e1db81786bcca67605ff765d27e0527e20967d1c