Skip to content

Fix unused pkgs import #1931

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 3 commits into from
Jul 18, 2024
Merged

Fix unused pkgs import #1931

Changes from 1 commit
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
f2d4e5b
fix load_empty_model
Kaihui-intel Jul 17, 2024
668e3d9
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jul 17, 2024
03d5c3f
improve coverage
Kaihui-intel Jul 17, 2024
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
Prev Previous commit
improve coverage 
Signed-off-by: Kaihui-intel <[email protected]>
  • Loading branch information
@Kaihui-intel
Kaihui-intel committed Jul 17, 2024
commit 03d5c3f43a2fef99de77280c242cc47a74ba943c
4 changes: 2 additions & 2 deletions neural_compressor/torch/algorithms/layer_wise/utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -90,7 +90,7 @@ def get_named_children(model, pre=[]):
return module_list


def dowload_hf_model(repo_id, cache_dir=None, repo_type=None, revision=None):
def dowload_hf_model(repo_id, cache_dir=None, repo_type=None, revision=None): # pragma: no cover
"""Download hugging face model from hf hub."""
from huggingface_hub.constants import DEFAULT_REVISION, HUGGINGFACE_HUB_CACHE
from huggingface_hub.file_download import REGEX_COMMIT_HASH, repo_folder_name
Expand Down Expand Up @@ -122,7 +122,7 @@ def dowload_hf_model(repo_id, cache_dir=None, repo_type=None, revision=None):
return file_path


def load_empty_model(pretrained_model_name_or_path, cls=AutoModelForCausalLM, **kwargs):
def load_empty_model(pretrained_model_name_or_path, cls=AutoModelForCausalLM, **kwargs): # pragma: no cover
"""Load a empty model."""
is_local = os.path.isdir(pretrained_model_name_or_path)
if is_local: # pragma: no cover
Expand Down