correctness
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@ -146,7 +146,7 @@ class AR_NAR(Base):
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"""
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targ_list = [r[..., l] for r, l in zip(resps_list, quant_levels)] # ensures we only have 1 RVQ-bin (our target)
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resps_list = [r if l == 0 else r[..., :l] for r, l in zip(resps_list, quant_levels)] # r[..., 0] is technically correct, but only r[:, 0] gets passed through the embedding
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resps_list = [r[..., 0] if l == 0 else r[..., :l] for r, l in zip(resps_list, quant_levels)] # r if l == 0 is technically correct since only r[:, 0] is passed through the embedding, but this should save some VRAM
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"""
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if cfg.experimental:
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@ -158,7 +158,7 @@ class AR_NAR(Base):
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if quant_levels[i] > 0:
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continue
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resps_list[i] = torch.cat([resps_list[i], torch.Tensor([[self.stop_token] * n_levels]).to(device=device, dtype=torch.int16) ])
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resps_list[i] = torch.cat([resps_list[i], torch.Tensor([self.stop_token]).to(device=device, dtype=torch.int16) ])
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targ_list[i] = torch.cat([targ_list[i], torch.Tensor([self.stop_token]).to(device=device, dtype=torch.int16) ])
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inputs = self.inputs(
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@ -352,7 +352,7 @@ class AudioEmbedding(nn.Module):
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x = self.embeddings[k]( xi[:, k] ) * (self.weight[k] if self.weight is not None else 1)
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# AR resp
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elif quant_levels is None or quant_levels == 0:
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x = self.embeddings[0]( xi[:, 0] )
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x = self.embeddings[0]( xi if len(xi.shape) == 1 else xi[:, 0] )
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# NAR resp
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else:
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if self.sums:
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