Update llama.py
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ddb48efd33
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1 changed files with 9 additions and 11 deletions
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@ -486,6 +486,15 @@ def LlamaModel_fast_forward(
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if inputs_embeds is None:
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inputs_embeds = self.embed_tokens(input_ids)
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# Fix up attention mask by setting elements to 0
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# Specifically for DPO
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if self._has_no_labels and attention_mask is not None:
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inputs_requires_grad = inputs_embeds.requires_grad
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if inputs_requires_grad: inputs_embeds.requires_grad_(False)
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inputs_embeds *= attention_mask.unsqueeze(0).transpose(0, 1).transpose(1, 2)
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if inputs_requires_grad: inputs_embeds.requires_grad_(True)
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pass
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# Ignore attention_mask
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if attention_mask is None:
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padding_mask = None
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@ -518,17 +527,6 @@ def LlamaModel_fast_forward(
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use_cache = False
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pass
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# Fix up attention mask by setting elements to 0
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# Specifically for DPO
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print(self._has_no_labels, attention_mask)
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if self._has_no_labels and attention_mask is not None:
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inputs_requires_grad = hidden_states.requires_grad
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if inputs_requires_grad: hidden_states.requires_grad_(False)
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hidden_states *= attention_mask.unsqueeze(0).transpose(0, 1).transpose(1, 2)
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print(1)
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if inputs_requires_grad: hidden_states.requires_grad_(True)
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pass
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# decoder layers
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all_hidden_states = () if output_hidden_states else None
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all_self_attns = () if output_attentions else None
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