Update llama.py
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@ -199,7 +199,7 @@ def LlamaAttention_fast_forward_inference(
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A = torch.matmul(Qn, Knn.transpose(2, 3)) #out = self.attention[:,:,:,:attention_size])
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A *= self.scalar
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A[:] = torch.nn.functional.softmax(A, dim = -1, dtype = torch.float32)#.to(A.dtype)
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A = torch.matmul(A, Vnn, out = Qn)
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A = torch.matmul(A, Vnn)#, out = Qn)
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A = A.transpose(1, 2)
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A = A.reshape(bsz, 1, self.hidden_size)
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A = fast_linear_forward(self.o_proj, A, out = self.temp_QA[1])
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