add mixed precision training #229
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ghost
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This pull request adds option to enable mixed precision training by using torch.cuda.amp package.
I can't figure out why but for Tacotron, mixed precision decreases training speed so I recommend to keep
tts_use_mixed_precisionopion disabled. For WaveRNN I had ~30% training speed boost (2.5 steps/sec vs 3.2 steps/sec on RTX2080s/custom dataset) and reduced GPU memory usage by ~40% (3.37GB vs 2.43GB) (voc_use_mixed_precisionis enabled by default).