change order

bitsandbytes/autograd/_functions.py

@@ -316,10 +316,10 @@ class MatMul8bitLt(torch.autograd.Function):
 
         if bias is None or bias.dtype == torch.float16:
             output = F.mm_dequant(out32, Sout32, SCA, state.SCB, bias=bias)
-            delayed_bias = None
+            output = output.to(A_dtype)
         else:  # apply bias separately
             output = F.mm_dequant(out32, Sout32, SCA, state.SCB, bias=None)
-            delayed_bias = bias
+            output = output.to(A_dtype).add_(bias)
 
         # 4. Mixed-precision decomposition matmul
         if coo_tensorA is not None and subA is not None:
@@ -340,9 +340,6 @@ class MatMul8bitLt(torch.autograd.Function):
             ctx.tensor_states = (None, None)
             ctx.save_for_backward(None, None)
 
-        output = output.to(A_dtype)
-        if delayed_bias is not None:
-            output.add_(delayed_bias)
 
         clone_func = torch.clone if len(output_shape) == 3 else lambda x : x
         return clone_func(output.view(output_shape))