Skip to content

fix: use float base in pow to avoid Inductor dtype mismatch #627

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
kylesayrs merged 3 commits into from
Mar 12, 2026
Merged

fix: use float base in pow to avoid Inductor dtype mismatch #627

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
1534861
fix: use float base in pow to avoid Inductor dtype mismatch
Bias92 Mar 11, 2026
f6e0dfb
style: format after float base change
Mar 11, 2026
da9ee47
Merge branch 'main' into fix/inductor-pow-dtype-mismatch
HDCharles Mar 12, 2026
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
2 changes: 1 addition & 1 deletion src/compressed_tensors/quantization/utils/helpers.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -205,7 +205,7 @@ def calculate_range(
:return: tuple endpoints for the given quantization range
"""
if quantization_args.type == QuantizationType.INT:
bit_range = 2**quantization_args.num_bits
bit_range = 2.0**quantization_args.num_bits
q_max = torch.tensor(bit_range / 2 - 1, device=device)
q_min = torch.tensor(-bit_range / 2, device=device)
elif quantization_args.type == QuantizationType.FLOAT:
Expand Down
Loading