Skip to content

Update float8nocompile test code to use new float8 matmul function #2013

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
merged 1 commit into from
Apr 4, 2025
Merged

Update float8nocompile test code to use new float8 matmul function #2013

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
4 changes: 2 additions & 2 deletions torchao/prototype/float8nocompile/float8nocompile_linear_test.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
import torch

from torchao.float8.config import Float8LinearConfig
from torchao.float8.float8_linear import manual_float8_matmul_with_args_in_hp
from torchao.float8.float8_linear import matmul_with_hp_or_float8_args
from torchao.float8.float8_tensor import LinearMMConfig, ScaledMMConfig
from torchao.prototype.float8nocompile.float8nocompile_linear import (
matmul_with_args_in_hp,
Expand Down Expand Up @@ -72,7 +72,7 @@ def test_matmul_with_args_in_hp(input_shape: tuple[int, int]):
)

# prod forward. expects transposed weight.
out_prod = manual_float8_matmul_with_args_in_hp.apply(
out_prod = matmul_with_hp_or_float8_args.apply(
prod_input_bf16, prod_weight_bf16.t(), linear_mm_config, config
)

Expand Down
Loading