diff options
| -rw-r--r-- | bitsandbytes/autograd/_functions.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/bitsandbytes/autograd/_functions.py b/bitsandbytes/autograd/_functions.py index 9928fbd..2ddb406 100644 --- a/bitsandbytes/autograd/_functions.py +++ b/bitsandbytes/autograd/_functions.py @@ -381,7 +381,7 @@ class MatMul8bitLt(torch.autograd.Function): grad_A = F.mm_dequant(gradA32, SgradA32, SCgrad, state.SCBt).view(ctx.grad_shape).to(ctx.dtype_A) elif state.CB is not None: - CB = state.CB.to(ctx.dtype_A, copy=True).mul_(state.SCB.unsqueeze(1).div(127.0)) + CB = state.CB.to(ctx.dtype_A, copy=True).mul_(state.SCB.unsqueeze(1).mul(1. / 127.0)) grad_A = torch.matmul(grad_output, CB).view(ctx.grad_shape).to(ctx.dtype_A) else: raise Exception('State must contain either CBt or CB matrix for backward') |