



"""simple docstring"""


import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig


__A   :							Optional[Any]										=   logging.get_logger(__name__)

__A   :							List[str]										=   {
    "Intel/dpt-large": "https://huggingface.co/Intel/dpt-large/resolve/main/config.json",
    # See all DPT models at https://huggingface.co/models?filter=dpt
}
class 			_a (					_lowerCamelCase):
			"""simple docstring"""
			UpperCamelCase__			      =	"""dpt"""



			def __init__(		self     :    List[Any]				,   __UpperCamelCase     :    Dict=7_6_8				,   __UpperCamelCase     :    Optional[Any]=1_2				,   __UpperCamelCase     :    Optional[Any]=1_2				,   __UpperCamelCase     :    Tuple=3_0_7_2				,   __UpperCamelCase     :    str="gelu"				,   __UpperCamelCase     :    Dict=0.0				,   __UpperCamelCase     :    int=0.0				,   __UpperCamelCase     :    int=0.0_2				,   __UpperCamelCase     :    Union[str, Any]=1e-12				,   __UpperCamelCase     :    Any=3_8_4				,   __UpperCamelCase     :    Union[str, Any]=1_6				,   __UpperCamelCase     :    List[str]=3				,   __UpperCamelCase     :    Tuple=False				,   __UpperCamelCase     :    int=True				,   __UpperCamelCase     :    Optional[int]=[2, 5, 8, 1_1]				,   __UpperCamelCase     :    List[Any]="project"				,   __UpperCamelCase     :    str=[4, 2, 1, 0.5]				,   __UpperCamelCase     :    Any=[9_6, 1_9_2, 3_8_4, 7_6_8]				,   __UpperCamelCase     :    Optional[Any]=2_5_6				,   __UpperCamelCase     :    str=-1				,   __UpperCamelCase     :    Optional[int]=False				,   __UpperCamelCase     :    Optional[int]=True				,   __UpperCamelCase     :    List[Any]=0.4				,   __UpperCamelCase     :    str=2_5_5				,   __UpperCamelCase     :    Any=0.1				,   __UpperCamelCase     :    Union[str, Any]=[1, 1_0_2_4, 2_4, 2_4]				,   __UpperCamelCase     :    Optional[int]=[0, 1]				,   __UpperCamelCase     :    int=None				,   **__UpperCamelCase     :    List[str]				,   )->str:
							super().__init__(**A__   )

							_UpperCAmelCase					=    hidden_size
							_UpperCAmelCase					=    is_hybrid

							if self.is_hybrid:
											if backbone_config is None:
															logger.info('''Initializing the config with a `BiT` backbone.'''   )
															_UpperCAmelCase					=    {
															    '''global_padding''': '''same''',
															    '''layer_type''': '''bottleneck''',
															    '''depths''': [3, 4, 9],
															    '''out_features''': ['''stage1''', '''stage2''', '''stage3'''],
															    '''embedding_dynamic_padding''': True,
															}
															_UpperCAmelCase					=    BitConfig(**A__   )
											elif isinstance(A__				,   A__   ):
															logger.info('''Initializing the config with a `BiT` backbone.'''   )
															_UpperCAmelCase					=    BitConfig(**A__   )
											elif isinstance(A__				,   A__   ):
															_UpperCAmelCase					=    backbone_config
											else:
															raise ValueError(
															    F'backbone_config must be a dictionary or a `PretrainedConfig`, got {backbone_config.__class__}.'   )

											_UpperCAmelCase					=    backbone_featmap_shape
											_UpperCAmelCase					=    neck_ignore_stages

											if readout_type != "project":
															raise ValueError('''Readout type must be \'project\' when using `DPT-hybrid` mode.'''   )
							else:
											_UpperCAmelCase					=    None
											_UpperCAmelCase					=    None
											_UpperCAmelCase					=    []

							_UpperCAmelCase					=    num_hidden_layers
							_UpperCAmelCase					=    num_attention_heads
							_UpperCAmelCase					=    intermediate_size
							_UpperCAmelCase					=    hidden_act
							_UpperCAmelCase					=    hidden_dropout_prob
							_UpperCAmelCase					=    attention_probs_dropout_prob
							_UpperCAmelCase					=    initializer_range
							_UpperCAmelCase					=    layer_norm_eps
							_UpperCAmelCase					=    image_size
							_UpperCAmelCase					=    patch_size
							_UpperCAmelCase					=    num_channels
							_UpperCAmelCase					=    qkv_bias
							_UpperCAmelCase					=    backbone_out_indices
							if readout_type not in ["ignore", "add", "project"]:
											raise ValueError('''Readout_type must be one of [\'ignore\', \'add\', \'project\']'''   )
							_UpperCAmelCase					=    readout_type
							_UpperCAmelCase					=    reassemble_factors
							_UpperCAmelCase					=    neck_hidden_sizes
							_UpperCAmelCase					=    fusion_hidden_size
							_UpperCAmelCase					=    head_in_index
							_UpperCAmelCase					=    use_batch_norm_in_fusion_residual
							# auxiliary head attributes (semantic segmentation)
							_UpperCAmelCase					=    use_auxiliary_head
							_UpperCAmelCase					=    auxiliary_loss_weight
							_UpperCAmelCase					=    semantic_loss_ignore_index
							_UpperCAmelCase					=    semantic_classifier_dropout



			def  lowercase__						(		self     :    List[Any]   )->List[str]:
							_UpperCAmelCase					=    copy.deepcopy(self.__dict__   )

							if output["backbone_config"] is not None:
											_UpperCAmelCase					=    self.backbone_config.to_dict()

							_UpperCAmelCase					=    self.__class__.model_type
							return output








"""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 			_a (					unittest.TestCase):
			"""simple docstring"""



			def  lowercase__						(		self     :    Tuple   )->int:
							_UpperCAmelCase					=    inspect.getfile(accelerate.test_utils   )
							_UpperCAmelCase					=    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

							_UpperCAmelCase					=    test_metrics



			@require_cpu
			def  lowercase__						(		self     :    Any   )->int:
							debug_launcher(self.test_metrics.main				,   num_processes=1   )



			@require_cpu
			def  lowercase__						(		self     :    List[str]   )->List[str]:
							debug_launcher(self.test_metrics.main   )



			@require_single_gpu
			def  lowercase__						(		self     :    List[Any]   )->Dict:
							self.test_metrics.main()



			@require_multi_gpu
			def  lowercase__						(		self     :    str   )->int:
							print(F'Found {torch.cuda.device_count()} devices.'   )
							_UpperCAmelCase					=    ['''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()   )



