inference

This commit is contained in:
Daniel Han-Chen 2024-01-23 00:32:57 +11:00
commit 085a8e944a
2 changed files with 1 additions and 2 deletions

View file

@ -180,7 +180,6 @@ pass
def fast_linear_forward(proj, X, temp_lora = None, out = None):
W, W_quant, lora_A, lora_B, lora_S = get_lora_parameters(proj)
out = fast_gemv(X, W, W_quant, out = out)
print(X.shape, W.quant_state.shape, out.shape)
if lora_A is not None:
dtype = X.dtype
temp_lora = torch.matmul(X, lora_A.to(dtype).t(), out = temp_lora)

View file

@ -172,7 +172,7 @@ def fast_mlp_inference(self, X):
gate *= up
# X = self.down_proj(gate)
down = fast_linear_forward(self.down_proj, X)
down = fast_linear_forward(self.down_proj, gate)
X = down.view(1, 1, self.hidden_size)
return X