

# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							Tuple=None      )			->      List[Any]:




				'''simple docstring'''





				if subparsers is not None:
								A__        =			subparsers.add_parser("test"      )
				else:
								A__        =			argparse.ArgumentParser("Accelerate test command"      )

				parser.add_argument(
				    "--config_file"	,       default=SCREAMING_SNAKE_CASE_	,       help=(
				        "The path to use to store the config file. Will default to a file named default_config.yaml in the cache "
				        "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have "
				        "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed "
				        "with 'huggingface'."
				    )	,       )

				if subparsers is not None:
								parser.set_defaults(func=SCREAMING_SNAKE_CASE_      )
				return parser



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							Tuple      )			->      Dict:




				'''simple docstring'''





				A__        =			os.path.sep.join(__file__.split(os.path.sep      )[:-2] + ["test_utils", "scripts", "test_script.py"]      )

				if args.config_file is None:
								A__        =			script_name
				else:
								A__        =			F'--config_file={args.config_file} {script_name}'

				A__        =			["accelerate-launch"] + test_args.split()
				A__        =			execute_subprocess_async(SCREAMING_SNAKE_CASE_	,       env=os.environ.copy()      )
				if result.returncode == 0:
								print("Test is a success! You are ready for your distributed training!"      )



def 					lowerCAmelCase__							(	)			->      Union[str, Any]:




				'''simple docstring'''





				A__        =			test_command_parser()
				A__        =			parser.parse_args()
				test_command(SCREAMING_SNAKE_CASE_      )


if __name__ == "__main__":
	main()




from ..utils import is_flax_available, is_torch_available


if is_torch_available():
	from .autoencoder_kl import AutoencoderKL
	from .controlnet import ControlNetModel
	from .dual_transformer_ad import DualTransformeraDModel
	from .modeling_utils import ModelMixin
	from .prior_transformer import PriorTransformer
	from .ta_film_transformer import TaFilmDecoder
	from .transformer_ad import TransformeraDModel
	from .unet_ad import UNetaDModel
	from .unet_ad import UNetaDModel
	from .unet_ad_condition import UNetaDConditionModel
	from .unet_ad_condition import UNetaDConditionModel
	from .vq_model import VQModel

if is_flax_available():
	from .controlnet_flax import FlaxControlNetModel
	from .unet_ad_condition_flax import FlaxUNetaDConditionModel
	from .vae_flax import FlaxAutoencoderKL

