m2v grad norm groups
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@ -579,6 +579,16 @@ class ContrastiveTrainingWrapper(nn.Module):
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self.min_gumbel_temperature,
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)
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def get_grad_norm_parameter_groups(self):
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if self.freeze_main_net:
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return {}
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groups = {
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'projector': list(self.m2v.input_blocks.parameters()) + list(self.m2v.projector.parameters()),
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'encoder': list(self.m2v.encoder.parameters()),
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'output_blocks': list(self.project_hid.parameters()) + list(self.project_q.parameters()),
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}
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return groups
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def forward(self, mel):
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mel = mel[:, :, :-1] # The MEL computation always pads with 1, throwing off optimal tensor math.
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