Hi everyone,
I’m an intermediate PyTorch user (only did a vision project before) who wants to use torchaudio for something new.
I’m making currently making a dataset loader for the NSynth dataset (16bit 16kHz PCM wav files) specific to my application.
As I’ll be training on an RTX GPU, and the data is originally 16bit, I was wondering if it would be smart to use float16 in this case. I’m not exactly sure about this though, given my limited knowledge of signal processing. torchaudio.load returns 32bit floats by default and does not give the option to load float16, so I was wondering whether there exists a theoretical reason.