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  1. 07 Feb, 2023 1 commit
    • juan.azcarreta.ortiz's avatar
      Add playback function (#3026) · 2ead941e
      juan.azcarreta.ortiz authored
      Summary:
      Allows user to play audio through the
      device speaker.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/3026
      
      Test Plan:
      Created a new test that mocks a call to the write audio chunk method from StreamWriter. To run the test:
      
      `pytest test/torchaudio_unittest/io/_playback_test.py`
      
      Reviewed By: mthrok
      
      Differential Revision: D43082062
      
      Pulled By: jazcarretao
      
      fbshipit-source-id: 01a85b32ce925687a633d1208d15d54556e89dd8
      2ead941e
  2. 04 Feb, 2023 1 commit
  3. 22 Jan, 2023 1 commit
    • moto's avatar
      Make StreamReader return PTS (#2975) · 0dd59e0d
      moto authored
      Summary:
      This commit makes `StreamReader` report PTS (presentation time stamp) of the returned chunk as well.
      
      Example
      
      ```python
      from torchaudio.io import StreamReader
      
      s = StreamReader(...)
      s.add_video_stream(...)
      for (video_chunk, ) in s.stream():
          # video_chunk is Torch tensor type but has extra attribute of PTS
          print(video_chunk.pts)  # reports the PTS of the first frame of the video chunk.
      ```
      
      For the backward compatibility, we introduce a `_ChunkTensor`, that is a composition
      of Tensor and metadata, but works like a normal tensor in PyTorch operations.
      
      The implementation of `_ChunkTensor` is based on [TrivialTensorViaComposition](https://github.com/albanD/subclass_zoo/blob/0eeb1d68fb59879029c610bc407f2997ae43ba0a/trivial_tensors.py#L83).
      
      It was also suggested to attach metadata directly to Tensor object,
      but the possibility to have the collision on torchaudio's metadata and new attributes introduced in
      PyTorch cannot be ignored, so we use Tensor subclass implementation.
      
      If any unexpected issue arise from metadata attribute name collision, client code can
      fetch the bare Tensor and continue.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2975
      
      Reviewed By: hwangjeff
      
      Differential Revision: D42526945
      
      Pulled By: mthrok
      
      fbshipit-source-id: b4e9422e914ff328421b975120460f3001268f35
      0dd59e0d
  4. 16 Jan, 2023 1 commit
  5. 12 Jan, 2023 1 commit
  6. 10 Jan, 2023 1 commit
    • moto's avatar
      Update the handling of videos without PTS values (#2970) · 1717edaa
      moto authored
      Summary:
      filter graph does not fallback to `best_effort_timestamp`, thus applying filters (like changing fps) on videos without PTS values failed.
      
      This commit changes the behavior by overwriting the PTS values with best_effort_timestamp.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2970
      
      Reviewed By: YosuaMichael
      
      Differential Revision: D42425771
      
      Pulled By: mthrok
      
      fbshipit-source-id: 7b7a033ea2ad89bb49d6e1663d35d377dab2aae9
      1717edaa
  7. 30 Dec, 2022 1 commit
    • moto's avatar
      Refactor and optimize yuv420p and nv12 processing (#2945) · cc0d1e0b
      moto authored
      Summary:
      This commit refactors and optimizes functions that converts AVFrames of `yuv420p` and `nv12` into PyTorch's Tensor.
      The performance is improved about 30%.
      
      1. Reduce the number of intermediate Tensors allocated.
      2. Replace 2 calls to `repeat_interleave` with `F::interpolate`.
      
       * (`F::interpolate` is about 5x faster than `repeat_interleave`. )
          <details><summary>code</summary>
      
          ```bash
          #!/usr/bin/env bash
      
          set -e
      
          python -c """
          import torch
          import torch.nn.functional as F
      
          a = torch.arange(49, dtype=torch.uint8).reshape(7, 7).clone()
          val1 = a.repeat_interleave(2, -1).repeat_interleave(2, -2)
          val2 = F.interpolate(a.view((1, 1, 7, 7, 1)), size=[14, 14, 1], mode=\"nearest\")
          print(torch.sum(torch.abs(val1 - val2[0, 0, :, :, 0])))
          """
      
          python3 -m timeit \
                  --setup """
          import torch
      
          a = torch.arange(49, dtype=torch.uint8).reshape(7, 7).clone()
          """ \
                  """
          a.repeat_interleave(2, -1).repeat_interleave(2, -2)
          """
      
          python3 -m timeit \
                  --setup """
          import torch
          import torch.nn.functional as F
      
          a = torch.arange(49, dtype=torch.uint8).reshape(7, 7).clone()
          """ \
                  """
          F.interpolate(a.view((1, 1, 7, 7, 1)), size=[14, 14, 1], mode=\"nearest\")
          """
          ```
      
          </details>
      
          ```
          tensor(0)
          10000 loops, best of 5: 38.3 usec per loop
          50000 loops, best of 5: 7.1 usec per loop
          ```
      
      ## Benchmark Result
      
      <details><summary>code</summary>
      
      ```bash
      #!/usr/bin/env bash
      
      set -e
      
      mkdir -p tmp
      
      for ext in avi mp4; do
          for duration in 1 5 10 30 60; do
              printf "Testing ${ext} ${duration} [sec]\n"
      
              test_data="tmp/test_${duration}.${ext}"
              if [ ! -f "${test_data}" ]; then
                  printf "Generating test data\n"
                  ffmpeg -hide_banner -f lavfi -t ${duration} -i testsrc "${test_data}" > /dev/null 2>&1
              fi
      
              python -m timeit \
                     --setup="from torchaudio.io import StreamReader" \
                     """
      r = StreamReader(\"${test_data}\")
      r.add_basic_video_stream(frames_per_chunk=-1, format=\"yuv420p\")
      r.process_all_packets()
      r.pop_chunks()
      """
          done
      done
      ```
      
      </details>
      
      ![Time to decode AVI file](https://user-images.githubusercontent.com/855818/210008881-8cc83f18-0e51-46e3-afe9-a5ff5dff041e.png)
      
      <details><summary>raw data</summary>
      
      Video Type - AVI
      Duration | Before | After
      -- | -- | --
      1 | 10.3 | 6.29
      5 | 44.3 | 28.3
      10 | 89.3 | 56.9
      30 | 265 | 185
      60 | 555 | 353
      </details>
      
      ![Time to decode MP4 file](https://user-images.githubusercontent.com/855818/210008891-c4546c52-43d7-49d0-8eff-d866ad627129.png)
      
      <details><summary>raw data</summary>
      
      Video Type - MP4
      Duration | Before | After
      -- | -- | --
      1 | 15.3 | 10.5
      5 | 62.1 | 43.2
      10 | 124 | 83.8
      30 | 380 | 252
      60 | 721 | 511
      </details>
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2945
      
      Reviewed By: carolineechen
      
      Differential Revision: D42283269
      
      Pulled By: mthrok
      
      fbshipit-source-id: 59840f943ff516b69ab8ad35fed7104c48a0bf0c
      cc0d1e0b
  8. 20 Dec, 2022 1 commit
  9. 04 Nov, 2022 1 commit
  10. 31 Oct, 2022 1 commit
  11. 25 Oct, 2022 1 commit
    • moto's avatar
      Fix issue with the missing video frame in StreamWriter (#2789) · 17a2b93b
      moto authored
      Summary:
      Addresses https://github.com/pytorch/audio/issues/2790.
      
      Previously AVPacket objects had duration==0.
      
      `av_interleaved_write_frame` function was inferring the duration of packets by
      comparing them against the next ones but It could not infer the duration of
      the last packet, as there is no subsequent frame, thus was omitting it from the final data.
      
      This commit fixes it by explicitly setting packet duration = 1 (one frame)
      only for video. (audio AVPacket contains multiple samples, so it's different.
      To ensure the correctness for audio, the tests were added.)
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2789
      
      Reviewed By: xiaohui-zhang
      
      Differential Revision: D40627439
      
      Pulled By: mthrok
      
      fbshipit-source-id: 4d0d827bff518c017b115445e03bdf0bf1e68320
      17a2b93b
  12. 21 Sep, 2022 1 commit
  13. 01 Sep, 2022 1 commit
  14. 24 Aug, 2022 1 commit
    • moto's avatar
      Add StreamWriter (#2628) · 72404de9
      moto authored
      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
      72404de9
  15. 07 Jul, 2022 1 commit
  16. 28 Jun, 2022 1 commit
    • moto's avatar
      Refactor AVDictionary clean up (#2507) · 0ad03adf
      moto authored
      Summary:
      Small clean up in ffmpeg binding code.
      
      1. Make `get_option_dict` and `clean_up_dict` public utility
      2. Merge the exception into `clean_up_dict`
      3. Get rid of custom string join function and use `c10::Join`.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2507
      
      Reviewed By: hwangjeff
      
      Differential Revision: D37466022
      
      Pulled By: mthrok
      
      fbshipit-source-id: 44b769ac6ff1ab20e6d6ae086cd1447deacb5969
      0ad03adf
  17. 27 Jun, 2022 2 commits
  18. 08 Jun, 2022 2 commits
  19. 01 Jun, 2022 1 commit
  20. 29 May, 2022 1 commit
    • moto's avatar
      Update source info (#2418) · bb77cbeb
      moto authored
      Summary:
      Add num_frames and bits_per_sample to match with the current
      `torchaudio.info` capability.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2418
      
      Reviewed By: carolineechen
      
      Differential Revision: D36749077
      
      Pulled By: mthrok
      
      fbshipit-source-id: 7b368ee993cf5ed63ff2f53c9e3b1f50fcce7713
      bb77cbeb
  21. 21 May, 2022 1 commit
    • moto's avatar
      Add file-like object support to Streaming API (#2400) · a984872d
      moto authored
      Summary:
      This commit adds file-like object support to Streaming API.
      
      ## Features
      - File-like objects are expected to implement `read(self, n)`.
      - Additionally `seek(self, offset, whence)` is used if available.
      - Without `seek` method, some formats cannot be decoded properly.
        - To work around this, one can use the existing `decoder` option to tell what decoder it should use.
        - The set of `decoder` and `decoder_option` arguments were added to `add_basic_[audio|video]_stream` method, similar to `add_[audio|video]_stream`.
        - So as to have the arguments common to both audio and video in front of the rest of the arguments, the order of the arguments are changed.
        - Also `dtype` and `format` arguments were changed to make them consistent across audio/video methods.
      
      ## Code structure
      
      The approach is very similar to how file-like object is supported in sox-based I/O.
      In Streaming API if the input src is string, it is passed to the implementation bound with TorchBind,
      if the src has `read` attribute, it is passed to the same implementation bound via PyBind 11.
      
      ![Untitled drawing](https://user-images.githubusercontent.com/855818/169098391-6116afee-7b29-460d-b50d-1037bb8a359d.png)
      
      ## Refactoring involved
      - Extracted to https://github.com/pytorch/audio/issues/2402
        - Some implementation in the original TorchBind surface layer is converted to Wrapper class so that they can be re-used from PyBind11 bindings. The wrapper class serves to simplify the binding.
        - `add_basic_[audio|video]_stream` methods were removed from C++ layer as it was just constructing string and passing it to `add_[audio|video]_stream` method, which is simpler to do in Python.
        - The original core Streamer implementation kept the use of types in `c10` namespace minimum. All the `c10::optional` and `c10::Dict` were converted to the equivalents of `std` at binding layer. But since they work fine with PyBind11, Streamer core methods deal them directly.
      
      ## TODO:
      - [x] Check if it is possible to stream MP4 (yuv420p) from S3 and directly decode (with/without HW decoding).
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2400
      
      Reviewed By: carolineechen
      
      Differential Revision: D36520073
      
      Pulled By: mthrok
      
      fbshipit-source-id: a11d981bbe99b1ff0cc356e46264ac8e76614bc6
      a984872d
  22. 19 May, 2022 1 commit
    • moto's avatar
      Refactor Streamer implementation (#2402) · eed57534
      moto authored
      Summary:
      * Move the helper wrapping code in TorchBind layer to proper wrapper class for so that it will be re-used in PyBind11.
      * Move `add_basic_[audio|video]_stream` methods from C++ to Python, as they are just string manipulation. This will make PyBind11-based binding simpler as it needs not to deal with dtype.
      * Move `add_[audio|video]_stream` wrapper signature to Streamer core, so that Streamer directly deals with `c10::optional`.†
      
      † Related to this, there is a slight change in how the empty filter expression is stored. Originally, if an empty filter expression was given to `add_[audio|video]_stream` method, the `StreamReaderOutputStream` was showing it as empty string `""`, even though internally it was using `"anull"` or `"null"`. Now `StreamReaderOutputStream` shows the corresponding filter expression that is actually being used.
      
      Ref https://github.com/pytorch/audio/issues/2400
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2402
      
      Reviewed By: nateanl
      
      Differential Revision: D36488808
      
      Pulled By: mthrok
      
      fbshipit-source-id: 877ca731364d10fc0cb9d97e75d55df9180f2047
      eed57534
  23. 15 May, 2022 1 commit
    • John Reese's avatar
      [codemod][usort] apply import merging for fbcode (8 of 11) · d62875cc
      John Reese authored
      Summary:
      Applies new import merging and sorting from µsort v1.0.
      
      When merging imports, µsort will make a best-effort to move associated
      comments to match merged elements, but there are known limitations due to
      the diynamic nature of Python and developer tooling. These changes should
      not produce any dangerous runtime changes, but may require touch-ups to
      satisfy linters and other tooling.
      
      Note that µsort uses case-insensitive, lexicographical sorting, which
      results in a different ordering compared to isort. This provides a more
      consistent sorting order, matching the case-insensitive order used when
      sorting import statements by module name, and ensures that "frog", "FROG",
      and "Frog" always sort next to each other.
      
      For details on µsort's sorting and merging semantics, see the user guide:
      https://usort.readthedocs.io/en/stable/guide.html#sorting
      
      Reviewed By: lisroach
      
      Differential Revision: D36402214
      
      fbshipit-source-id: b641bfa9d46242188524d4ae2c44998922a62b4c
      d62875cc
  24. 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