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[LLM] Fix dtype mismatch in Baichuan2-13b (#9834)

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Xiangyu Tian 2024-01-04 15:34:42 +08:00 committed by GitHub
parent 8504a2bbca
commit 38c05be1c0
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python/llm/src/bigdl/llm/transformers/models/baichuan2.py
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@ -287,7 +287,7 @@ def baichuan_attention_forward_13b(
) )
attn_weights = torch.nn.functional.softmax(attn_weights, dim=-1) attn_weights = torch.nn.functional.softmax(attn_weights, dim=-1)
attn_output = torch.matmul(attn_weights, value_states) attn_output = torch.matmul(attn_weights.to(dtype=value_states.dtype), value_states)
attn_output = attn_output.transpose(1, 2) attn_output = attn_output.transpose(1, 2)
attn_output = attn_output.reshape(bsz, q_len, self.hidden_size) attn_output = attn_output.reshape(bsz, q_len, self.hidden_size)