20000x faster audio conversion for SummaryWriter (#44201)
Summary:
Stumbled upon a little gem in the audio conversion for `SummaryWriter.add_audio()`: two Python `for` loops to convert a float array to little-endian int16 samples. On my machine, this took 35 seconds for a 30-second 22.05 kHz excerpt. The same can be done directly in numpy in 1.65 milliseconds. (No offense, I'm glad that the functionality was there!)
Would also be ready to extend this to support stereo waveforms, or should this become a separate PR?
Pull Request resolved: https://github.com/pytorch/pytorch/pull/44201
Reviewed By: J0Nreynolds
Differential Revision: D23831002
Pulled By: edward-io
fbshipit-source-id: 5c8f1ac7823d1ed41b53c4f97ab9a7bac33ea94b
