mel_head should be optional
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@ -271,6 +271,8 @@ class FlatDiffusion(nn.Module):
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assert not (return_code_pred and precomputed_code_embeddings is not None), "I cannot compute a code_pred output for you."
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unused_params = []
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if not return_code_pred:
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unused_params.extend(list(self.mel_head.parameters()))
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if conditioning_free:
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code_emb = self.unconditioned_embedding.repeat(x.shape[0], 1, x.shape[-1])
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unused_params.extend(list(self.code_converter.parameters()) + list(self.code_embedding.parameters()))
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