

'''simple docstring'''



import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment






@require_huggingface_suite
class 					UpperCAmelCase__	(		unittest.TestCase ):



					def        UpperCAmelCase_ (    self     )     ->			Optional[int]:
						__lowerCAmelCase												=  inspect.getfile(accelerate.test_utils     )
						__lowerCAmelCase												=  os.path.sep.join(
						    mod_file.split(os.path.sep     )[:-1] + ["scripts", "external_deps", "test_metrics.py"]     )

						from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

						__lowerCAmelCase												=  test_metrics



					@require_cpu
					def        UpperCAmelCase_ (    self     )     ->			str:
						debug_launcher(self.test_metrics.main			,				num_processes=1     )



					@require_cpu
					def        UpperCAmelCase_ (    self     )     ->			Tuple:
						debug_launcher(self.test_metrics.main     )



					@require_single_gpu
					def        UpperCAmelCase_ (    self     )     ->			Optional[int]:
						self.test_metrics.main()



					@require_multi_gpu
					def        UpperCAmelCase_ (    self     )     ->			Optional[Any]:
						print(F'''Found {torch.cuda.device_count()} devices.'''     )
						__lowerCAmelCase												=  ["torchrun", F'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
						with patch_environment(omp_num_threads=1     ):
							execute_subprocess_async(UpperCamelCase			,				env=os.environ.copy()     )




'''simple docstring'''



from argparse import ArgumentParser

from . import BaseTransformersCLICommand



def   __lowerCAmelCase					(							lowerCamelCase   :						List[str]					):






	'''simple docstring'''




	return DownloadCommand(args.model				,		args.cache_dir				,		args.force				,		args.trust_remote_code					)






class 					UpperCAmelCase__	(		UpperCamelCase__ ):



					@staticmethod
					def        UpperCAmelCase_ (    UpperCamelCase     )     ->			Tuple:
						__lowerCAmelCase												=  parser.add_parser("download"     )
						download_parser.add_argument(
						    "--cache-dir"			,				type=UpperCamelCase			,				default=UpperCamelCase			,				help="Path to location to store the models"     )
						download_parser.add_argument(
						    "--force"			,				action="store_true"			,				help="Force the model to be download even if already in cache-dir"     )
						download_parser.add_argument(
						    "--trust-remote-code"			,				action="store_true"			,				help="Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"			,				)
						download_parser.add_argument("model"			,				type=UpperCamelCase			,				help="Name of the model to download"     )
						download_parser.set_defaults(func=UpperCamelCase     )



					def __init__(    self			,				UpperCamelCase			,				UpperCamelCase			,				UpperCamelCase			,				UpperCamelCase     )     ->			List[str]:
						__lowerCAmelCase												=  model
						__lowerCAmelCase												=  cache
						__lowerCAmelCase												=  force
						__lowerCAmelCase												=  trust_remote_code



					def        UpperCAmelCase_ (    self     )     ->			Any:
						from ..models.auto import AutoModel, AutoTokenizer

						AutoModel.from_pretrained(
						    self._model			,				cache_dir=self._cache			,				force_download=self._force			,				trust_remote_code=self._trust_remote_code     )
						AutoTokenizer.from_pretrained(
						    self._model			,				cache_dir=self._cache			,				force_download=self._force			,				trust_remote_code=self._trust_remote_code     )