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Running on L40S
Running on L40S
File size: 1,977 Bytes
9f818c5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | # SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: OpenMDW-1.1
"""Export config to yaml file."""
from cosmos_framework.inference.common.init import init_script
init_script(
env={
"COSMOS_TRAINING": "1",
"COSMOS_DEVICE": "cpu",
}
)
from typing import Annotated
import pydantic
import tyro
from cosmos_framework.inference.common.args import ConfigOverrides, ResolvedPath, tyro_cli
from cosmos_framework.inference.common.config import InvalidMode, serialize_config_dict, unstructure_config
class Args(pydantic.BaseModel):
output_file: Annotated[ResolvedPath, tyro.conf.arg(aliases=("-o",))]
config: tyro.conf.OmitArgPrefixes[ConfigOverrides] = ConfigOverrides.model_construct()
invalid: InvalidMode = "error"
"""How to handle unknown field types."""
config_key: str | None = None
"""Config key to export."""
def export_config(args: Args):
config_args = args.config.build_config()
if args.output_file.suffix not in [".yaml", ".yml"]:
raise ValueError("Output file must have a .yaml or .yml extension")
config = config_args.load_config()
# Extract key
if args.config_key:
for k in args.config_key.split("."):
config = getattr(config, k)
config_dict: dict = unstructure_config(config, invalid=args.invalid)
# Re-create key structure
if args.config_key:
c: dict = config_dict
for k in reversed(args.config_key.split(".")):
config_dict = {k: c}
c = config_dict
# Add metadata
assert "_metadata" not in config_dict
config_dict["_metadata"] = {
"args": config_args.model_dump(mode="json"),
}
serialize_config_dict(config_dict, args.output_file)
print(f"Saved config to {args.output_file}")
def main():
args = tyro_cli(Args, description=__doc__)
export_config(args)
if __name__ == "__main__":
main()
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