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sglang/python/sglang/multimodal_gen/configs/utils.py
T
+9 7bc1dae095 WIP: initial multimodal-gen support (#12484)
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2025-11-05 12:28:52 -08:00

62 lines
2.0 KiB
Python

# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
import argparse
from typing import Any
def update_config_from_args(
config: Any, args_dict: dict[str, Any], prefix: str = "", pop_args: bool = False
) -> bool:
"""
Update configuration object from arguments dictionary.
Args:
config: The configuration object to update
args_dict: Dictionary containing arguments
prefix: Prefix for the configuration parameters in the args_dict.
If None, assumes direct attribute mapping without prefix.
"""
# Handle top-level attributes (no prefix)
args_not_to_remove = [
"model_path",
]
args_to_remove = []
if prefix.strip() == "":
for key, value in args_dict.items():
if hasattr(config, key) and value is not None:
if key == "text_encoder_precisions" and isinstance(value, list):
setattr(config, key, tuple(value))
else:
setattr(config, key, value)
if pop_args:
args_to_remove.append(key)
else:
# Handle nested attributes with prefix
prefix_with_dot = f"{prefix}."
for key, value in args_dict.items():
if key.startswith(prefix_with_dot) and value is not None:
attr_name = key[len(prefix_with_dot) :]
if hasattr(config, attr_name):
setattr(config, attr_name, value)
if pop_args:
args_to_remove.append(key)
if pop_args:
for key in args_to_remove:
if key not in args_not_to_remove:
args_dict.pop(key)
return len(args_to_remove) > 0
def clean_cli_args(args: argparse.Namespace) -> dict[str, Any]:
"""
Clean the arguments by removing the ones that not explicitly provided by the user.
"""
provided_args = {}
for k, v in vars(args).items():
if v is not None and hasattr(args, "_provided") and k in args._provided:
provided_args[k] = v
return provided_args