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authorTim Dettmers <dettmers@cs.washington.edu>2022-09-20 06:36:32 +0300
committerjustheuristic <justheuristic@gmail.com>2022-09-20 06:36:32 +0300
commit9b7d307b8cc9d88310fe0c0548e4a0fb094f45d3 (patch)
treef8e84ec39f97fc357ef918a70fb127a883f834b0 /bitsandbytes
parentcff3a7159943369841675dbc1076e555ffb2260b (diff)
review
Diffstat (limited to 'bitsandbytes')
-rw-r--r--bitsandbytes/autograd/_functions.py2
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')