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hotfix: add contiguous_backward to llama
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@ -111,7 +111,7 @@ class TransformerBlock:
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def __call__(self, x:Tensor, start_pos:Union[Variable,int], freqs_cis:Tensor, mask:Optional[Tensor]):
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h = x + self.attention(self.attention_norm(x), start_pos, freqs_cis, mask)
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return (h + self.feed_forward(self.ffn_norm(h))).contiguous()
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return (h + self.feed_forward(self.ffn_norm(h))).contiguous().contiguous_backward()
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# standard openai sampling
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def sample(logits: Tensor, temp: float, k: int, p: float, af: float, ap: float):
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