Update llama.py
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665908eb70
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1 changed files with 4 additions and 4 deletions
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@ -147,9 +147,9 @@ def LlamaAttention_fast_forward_inference(
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RH_Q = torch.empty((bsz, n_heads, 1, head_dim), dtype = dtype, device = "cuda")
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pass
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Qn = fast_linear_forward(self.q_proj, Xn, out = self.temp_QA[0])
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Kn = fast_linear_forward(self.k_proj, Xn, out = self.temp_KV[0])
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Vn = fast_linear_forward(self.v_proj, Xn, out = self.temp_KV[1])
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Qn = fast_linear_forward(self.q_proj, Xn, out = temp_QA[0])
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Kn = fast_linear_forward(self.k_proj, Xn, out = temp_KV[0])
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Vn = fast_linear_forward(self.v_proj, Xn, out = temp_KV[1])
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Qn = Qn.view(bsz, 1, n_heads, head_dim).transpose(1, 2)
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Kn = Kn.view(bsz, 1, n_kv_heads, head_dim).transpose(1, 2)
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Vn = Vn.view(bsz, 1, n_kv_heads, head_dim).transpose(1, 2)
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@ -193,7 +193,7 @@ def LlamaAttention_fast_forward_inference(
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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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A = fast_linear_forward(self.o_proj, A, out = temp_QA[1])
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return A, (Kn, Vn)
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pass
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