[LLM] Fix dtype mismatch in Baichuan2-13b (#9834)
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@ -287,7 +287,7 @@ def baichuan_attention_forward_13b(
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attn_weights = torch.nn.functional.softmax(attn_weights, dim=-1)
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attn_output = torch.matmul(attn_weights, value_states)
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attn_output = torch.matmul(attn_weights.to(dtype=value_states.dtype), value_states)
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attn_output = attn_output.transpose(1, 2)
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attn_output = attn_output.reshape(bsz, q_len, self.hidden_size)
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