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maybe we don't always need to convert to fltp, especially flt (non-planar) formats, we can probably just output tensors with a different layout or so something smarter that avoids a copy.
maybe, maybe not: something like the normalize parameter of the torchaudio reader, which allows users to specify whether they want a float tensor in [-1, 1], or a tensor with the same dtype as the audio format. We'll figure that out later. We'll probably always return float tensors by default anyway.
perf: try to pre-allocate the output tensor and save copies
The text was updated successfully, but these errors were encountered:
Basic support was added in #538, we need the following before we make this public:
sample_rate
Allowsample_rate
parameter to audio decoder #551AudioDecoder
AddAudioDecoder.get_samples_played_in_range()
public method #555The text was updated successfully, but these errors were encountered: