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This commit is contained in:
justheuristic 2022-09-18 01:02:13 +03:00
parent 7906dc4c9a
commit 4b4a9effd1
1 changed files with 2 additions and 4 deletions
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6
bitsandbytes/autograd/_functions.py
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@ -366,9 +366,8 @@ class MatMul8bitLt(torch.autograd.Function):
CxAt, SAt = F.transform(CAt, formatB, transpose=True)
C32grad, Sgrad = F.transform(Cgradt, "col32", transpose=True)
gradB32, SgradB32 = F.igemmlt(C32grad, CxAt, Sgrad, SAt)
grad_B = F.mm_dequant(gradB32, SgradB32, SCgradt, SCAt).to(ctx.dtype_B)
grad_B = F.mm_dequant(gradB32, SgradB32, SCgradt, SCAt)
if state.threshold > 0.0 and subA is not None:
assert False, idx
grad_B[:, idx] += torch.matmul(grad_output.t(), subA)
if req_gradA:
@ -382,8 +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_B)
CB.mul_(state.SCB.unsqueeze(1).div_(127.0).to(CB.dtype))
CB = state.CB.to(ctx.dtype_A, copy=True).mul_(state.SCB.unsqueeze(1).div(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')