from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


A__           =							logging.get_logger(__name__)

A__           =							{
    """microsoft/resnet-50""": """https://huggingface.co/microsoft/resnet-50/blob/main/config.json""",
}
class   _lowerCAmelCase		(     __SCREAMING_SNAKE_CASE      ,   __SCREAMING_SNAKE_CASE				):
							_UpperCAmelCase						    =     'resnet'
							_UpperCAmelCase						    =     ['basic', 'bottleneck']







							def __init__(				self     :    Optional[int]	,					__snake_case     :    List[Any]=3	,					__snake_case     :    Union[str, Any]=64	,					__snake_case     :    List[Any]=[256, 512, 1024, 2048]	,					__snake_case     :    List[Any]=[3, 4, 6, 3]	,					__snake_case     :    int="bottleneck"	,					__snake_case     :    Optional[int]="relu"	,					__snake_case     :    str=False	,					__snake_case     :    int=None	,					__snake_case     :    Optional[Any]=None	,					**__snake_case     :    str	,					):
										super().__init__(**__snake_case		)
										if layer_type not in self.layer_types:
													raise ValueError(F"layer_type={layer_type} is not one of {','.join(self.layer_types		)}"		)
										lowerCamelCase						:List[str]						  =     num_channels
										lowerCamelCase						:Dict						  =     embedding_size
										lowerCamelCase						:Any						  =     hidden_sizes
										lowerCamelCase						:Union[str, Any]						  =     depths
										lowerCamelCase						:str						  =     layer_type
										lowerCamelCase						:Any						  =     hidden_act
										lowerCamelCase						:Optional[int]						  =     downsample_in_first_stage
										lowerCamelCase						:List[Any]						  =     ['''stem'''] + [F"stage{idx}" for idx in range(1	,					len(__snake_case		) + 1		)]
										lowerCamelCase  ,    lowerCamelCase						:str						  =     get_aligned_output_features_output_indices(
										    out_features=__snake_case	,					out_indices=__snake_case	,					stage_names=self.stage_names		)


class   _lowerCAmelCase		(     __SCREAMING_SNAKE_CASE				):
							_UpperCAmelCase						    =     version.parse('1.11'				)







							@property
							def 				snake_case  (				self     :    List[Any]		):
										return OrderedDict(
										    [
										        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
										    ]		)







							@property
							def 				snake_case  (				self     :    str		):
										return 1e-3




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   _lowerCAmelCase		(     unittest.TestCase				):







							def 				snake_case  (				self     :    Tuple		):
										lowerCamelCase						:List[Any]						  =     inspect.getfile(accelerate.test_utils		)
										lowerCamelCase						:Dict						  =     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						:Any						  =     test_metrics







							@require_cpu
							def 				snake_case  (				self     :    Dict		):
										debug_launcher(self.test_metrics.main	,					num_processes=1		)







							@require_cpu
							def 				snake_case  (				self     :    int		):
										debug_launcher(self.test_metrics.main		)







							@require_single_gpu
							def 				snake_case  (				self     :    Any		):
										self.test_metrics.main()







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



