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authorjustheuristic <justheuristic@gmail.com>2022-09-18 00:15:57 +0300
committerjustheuristic <justheuristic@gmail.com>2022-09-18 00:15:57 +0300
commit1145589f84d2ba4eb3b4a18fa33423298f5747c0 (patch)
tree5d06ec1e54d2a4c26f9294155fdad65a04a942e0 /bitsandbytes/autograd
parentd6e25b5f5ea36c1565145da773fbf0f842b1c235 (diff)
change typecast behavior
Diffstat (limited to 'bitsandbytes/autograd')
-rw-r--r--bitsandbytes/autograd/_functions.py3
1 files changed, 1 insertions, 2 deletions
diff --git a/bitsandbytes/autograd/_functions.py b/bitsandbytes/autograd/_functions.py
index 0e594a5..b54ac24 100644
--- a/bitsandbytes/autograd/_functions.py
+++ b/bitsandbytes/autograd/_functions.py
@@ -328,7 +328,6 @@ class MatMul8bitLt(torch.autograd.Function):
ctx.formatB = formatB
ctx.grad_shape = input_shape
- ctx.req_grads = [requires_gradA, requires_gradB, requires_gradBias]
ctx.dtype_A, ctx.dtype_B, ctx.dtype_bias = A.dtype, B.dtype, None if bias is None else bias.dtype
if requires_gradA or requires_gradB:
@@ -357,7 +356,7 @@ class MatMul8bitLt(torch.autograd.Function):
if req_gradBias:
# compute grad_bias first before changing grad_output dtype
- grad_bias = grad_output.sum(0).to(ctx.bias_dtype)
+ grad_bias = grad_output.sum(0).to(ctx.dtype_bias)
# Cast grad_output to fp16
if len(grad_output.shape) == 3: