forked from mrq/DL-Art-School
Flat fix
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@ -264,12 +264,12 @@ class DiffusionTtsFlat(nn.Module):
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code_emb = precomputed_aligned_embeddings
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else:
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code_emb, mel_pred = self.timestep_independent(aligned_conditioning, conditioning_input, x.shape[-1], True)
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if is_latent(aligned_conditioning):
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unused_params.extend(list(self.code_converter.parameters()) + list(self.code_embedding.parameters()))
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else:
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unused_params.extend(list(self.latent_converter.parameters()))
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unused_params.append(self.unconditioned_embedding)
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if is_latent(aligned_conditioning):
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unused_params.extend(list(self.code_converter.parameters()) + list(self.code_embedding.parameters()))
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else:
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unused_params.extend(list(self.autoregressive_latent_converter.parameters()))
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time_emb = self.time_embed(timestep_embedding(timesteps, self.model_channels))
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code_emb = self.conditioning_timestep_integrator(code_emb, time_emb)
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