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@ -977,14 +977,6 @@ class MPTModel(MPTPreTrainedModel):
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)
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pos_emb = self.wpe(pos)
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x = tok_emb + pos_emb
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# if self.embedding_fraction == 1:
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# x = self.emb_drop(x)
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# else:
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# x_shrunk = x * self.embedding_fraction + x.detach() * (
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# 1 - self.embedding_fraction
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# )
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# assert isinstance(self.emb_drop, nn.Module)
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# x = self.emb_drop(x_shrunk)
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(attn_bias, attention_mask) = self._attn_bias(
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device=x.device,
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dtype=torch.float32,
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