Skip to content
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 2 additions & 7 deletions diffsynth/core/vram/layers.py
Original file line number Diff line number Diff line change
Expand Up @@ -330,13 +330,8 @@ def fp8_linear(
input = input.reshape(-1, origin_shape[-1])

x_max = torch.max(torch.abs(input), dim=-1, keepdim=True).values
fp8_max = 448.0
# For float8_e4m3fnuz, the maximum representable value is half of that of e4m3fn.
# To avoid overflow and ensure numerical compatibility during FP8 computation,
# we scale down the input by 2.0 in advance.
# This scaling will be compensated later during the final result scaling.
if self.computation_dtype == torch.float8_e4m3fnuz:
fp8_max = fp8_max / 2.0
# Use the maximum finite value defined by the selected FP8 dtype.
fp8_max = torch.finfo(self.computation_dtype).max
scale_a = torch.clamp(x_max / fp8_max, min=1.0).float().to(device=device)
scale_b = torch.ones((weight.shape[0], 1)).to(device=device)
input = input / (scale_a + 1e-8)
Expand Down