deftdawg/bitsandbytes-rocm
1
0
Fork 0
forked from mrq/bitsandbytes-rocm
Code Pull Requests Activity

change order

Browse Source
This commit is contained in:
justheuristic 2022-09-17 23:53:49 +03:00
parent e9b87112ee
commit 0de1a4494b
1 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
bitsandbytes/autograd/_functions.py
View File

@ -357,6 +357,11 @@ class MatMul8bitLt(torch.autograd.Function):
SCAt, idx = ctx.tensor_states
formatB = ctx.formatB
state = ctx.state
grad_A = grad_B = grad_bias = None
if req_gradBias:
# compute grad_bias first before changing grad_output dtype
grad_bias = grad_output.sum(0)
# Cast grad_output to fp16
grad_output_dtype = grad_output.dtype
@ -367,8 +372,6 @@ class MatMul8bitLt(torch.autograd.Function):
-1, grad_output.shape[-1]
).contiguous()
grad_A = grad_B = grad_bias = None
Cgrad, Cgradt, SCgrad, SCgradt, coo_tensor = F.double_quant(grad_output)
if req_gradB:
CxAt, SAt = F.transform(CAt, formatB, transpose=True)
@ -395,9 +398,6 @@ class MatMul8bitLt(torch.autograd.Function):
else:
raise Exception('State must contain either CBt or CB matrix for backward')
if req_gradBias:
grad_bias = grad_output.sum(0)
# Cast grad_A back to grad_output_dtype
grad_output = grad_output.to(grad_output_dtype)