Skip to content

Remove log_model_load #1016

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 2 commits into from
Jan 29, 2025
Merged

Remove log_model_load #1016

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
fdc26e8
remove log_model_load
kylesayrs Dec 28, 2024
b78437d
Merge branch 'main' into kylesayrs/remove-log_model_load
kylesayrs Jan 24, 2025
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
41 changes: 0 additions & 41 deletions src/llmcompressor/pytorch/model_load/helpers.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -8,13 +8,11 @@
from torch.nn import Module

from llmcompressor.core import active_session, create_session, pre_initialize_structure
from llmcompressor.pytorch.utils import ModuleSparsificationInfo
from llmcompressor.typing import Processor

COMPLETED_STAGES_FILENAME = "completed_stages.json"

__all__ = [
"log_model_load",
"initialize_recipe",
"save_model_and_recipe",
"copy_python_files_from_model_cache",
Expand All @@ -26,45 +24,6 @@
]


def log_model_load(
model: Module, model_name_or_path: str, model_type: str, delayed_load: bool
):
"""
Log the state of a loaded model including sparsity and
prunable params information.

:param model: the loaded model
:param model_name_or_path: the original name of or path to the model that loaded
:param model_type: specify the type of model loaded for logging;
ex one of [model, student, teacher]
:param delayed_load: True if this model load was delayed until after
recipe instantiation due to QAT or other architectural state changes
"""
if delayed_load:
logger.info(
f"Delayed load of model {model_name_or_path} detected. "
f"Will print out model information once LLMCompressor recipes have loaded"
)
return

sparsification_info = ModuleSparsificationInfo(model)

logger.info(
f"Loaded {model_type} from {model_name_or_path} "
f"with {sparsification_info.params_total} total params. "
f"Of those there are {sparsification_info.params_prunable_total} prunable "
f"params which have {sparsification_info.params_prunable_sparse_percent} "
"avg sparsity."
)
model_type = (
"sparse" if sparsification_info.params_prunable_sparse_percent > 5 else "dense"
)
logger.info(
f"{model_type} model detected, "
f"all sparsification info: {sparsification_info}"
)


def initialize_recipe(model: Module, recipe_path: str):
"""
Initializes a recipe that has been previously applied to the model
Expand Down
Loading