Avoid repeated upsampling of spectrogram #39
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sharvil
reviewed
Sep 16, 2022
| nn.init.zeros_(self.output_projection.weight) | ||
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| def forward(self, audio, diffusion_step, spectrogram=None): | ||
| def forward(self, audio, diffusion_step, spectrogram=None, infer=False): |
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Excellent change - thanks for sending a PR.
Instead of adding a boolean flag, can we have both the training and inference code run the upsampler before passing it in?
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