1. 15 Jul, 2023 1 commit
  2. 26 May, 2023 1 commit
  3. 16 May, 2023 1 commit
  4. 13 Oct, 2022 1 commit
  5. 07 Oct, 2022 1 commit
  6. 05 Oct, 2022 1 commit
  7. 18 Aug, 2022 1 commit
  8. 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
  9. 21 Apr, 2022 1 commit
    • hwangjeff's avatar
      Change underlying implementation of RNN-T hypothesis to tuple (#2339) · 6b242c29
      hwangjeff authored
      Summary:
      PyTorch Lite, which is becoming a standard for mobile PyTorch usage, does not support containers containing custom classes. Consequently, because TorchAudio's RNN-T decoder currently returns and accepts lists of `Hypothesis` namedtuples, it is not compatible with PyTorch Lite. This PR resolves said incompatibility by changing the underlying implementation of `Hypothesis` to tuple.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2339
      
      Reviewed By: nateanl
      
      Differential Revision: D35806529
      
      Pulled By: hwangjeff
      
      fbshipit-source-id: 9cbae5504722390511d35e7f9966af2519ccede5
      6b242c29
  10. 13 Apr, 2022 1 commit
    • hwangjeff's avatar
      Add nightly build installation code snippet to prototype feature tutorials (#2325) · fb51cecc
      hwangjeff authored
      Summary:
      Tutorial notebooks that leverage TorchAudio prototype features don't run as-is on Google Colab due to its runtime's not having nightly builds pre-installed. To make it easier for users to run said notebooks in Colab, this PR adds a code block that installs nightly Pytorch and TorchAudio builds as a comment that users can copy and run locally.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2325
      
      Reviewed By: xiaohui-zhang
      
      Differential Revision: D35597753
      
      Pulled By: hwangjeff
      
      fbshipit-source-id: 59914e492ad72e31c0136a48cd88d697e8ea5f6c
      fb51cecc
  11. 10 Mar, 2022 1 commit
  12. 26 Feb, 2022 1 commit
    • moto's avatar
      Improve device streaming (#2202) · 365313ed
      moto authored
      Summary:
      This commit adds tutorial for device ASR, and update API for device streaming.
      
      The changes for the interface are
      1. Add `timeout` and `backoff` parameters to `process_packet` and `stream` methods.
      2. Move `fill_buffer` method to private.
      
      When dealing with device stream, there are situations where the device buffer is not
      ready and the system returns `EAGAIN`. In such case, the previous implementation of
      `process_packet` method raised an exception in Python layer , but for device ASR,
      this is inefficient. A better approach is to retry within C++ layer in blocking manner.
      The new `timeout` parameter serves this purpose.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2202
      
      Reviewed By: nateanl
      
      Differential Revision: D34475829
      
      Pulled By: mthrok
      
      fbshipit-source-id: bb6d0b125d800f87d189db40815af06fbd4cab59
      365313ed