import unittest

from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script



@require_cpu
class   lowercase_       (	unittest.TestCase						):



							def 			UpperCamelCase			(		self							):
													debug_launcher(test_script.main							)



							def 			UpperCamelCase			(		self							):
													debug_launcher(test_ops.main							)






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


lowerCAmelCase							:       Optional[int]					 =	logging.get_logger(__name__)

lowerCAmelCase							:       Tuple					 =	{
    """facebook/data2vec-vision-base-ft""": (
        """https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json"""
    ),
}





class 				a			(      __lowercase			):
				SCREAMING_SNAKE_CASE__     :   Union[str, Any]		      =     '''data2vec-vision'''






				def __init__(  self			, _lowerCAmelCase=768			, _lowerCAmelCase=12			, _lowerCAmelCase=12			, _lowerCAmelCase=3072			, _lowerCAmelCase="gelu"			, _lowerCAmelCase=0.0			, _lowerCAmelCase=0.0			, _lowerCAmelCase=0.02			, _lowerCAmelCase=1e-12			, _lowerCAmelCase=224			, _lowerCAmelCase=16			, _lowerCAmelCase=3			, _lowerCAmelCase=False			, _lowerCAmelCase=False			, _lowerCAmelCase=False			, _lowerCAmelCase=False			, _lowerCAmelCase=0.1			, _lowerCAmelCase=0.1			, _lowerCAmelCase=True			, _lowerCAmelCase=[3, 5, 7, 11]			, _lowerCAmelCase=[1, 2, 3, 6]			, _lowerCAmelCase=True			, _lowerCAmelCase=0.4			, _lowerCAmelCase=256			, _lowerCAmelCase=1			, _lowerCAmelCase=False			, _lowerCAmelCase=255			, **_lowerCAmelCase			, ):

										"""simple docstring"""




										super().__init__(**_lowerCAmelCase					)

										__SCREAMING_SNAKE_CASE:				str           =   hidden_size
										__SCREAMING_SNAKE_CASE:				Tuple           =   num_hidden_layers
										__SCREAMING_SNAKE_CASE:				Tuple           =   num_attention_heads
										__SCREAMING_SNAKE_CASE:				int           =   intermediate_size
										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   hidden_act
										__SCREAMING_SNAKE_CASE:				int           =   hidden_dropout_prob
										__SCREAMING_SNAKE_CASE:				str           =   attention_probs_dropout_prob
										__SCREAMING_SNAKE_CASE:				Any           =   initializer_range
										__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   layer_norm_eps

										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   image_size
										__SCREAMING_SNAKE_CASE:				List[str]           =   patch_size
										__SCREAMING_SNAKE_CASE:				Optional[int]           =   num_channels
										__SCREAMING_SNAKE_CASE:				List[Any]           =   use_mask_token
										__SCREAMING_SNAKE_CASE:				Tuple           =   use_absolute_position_embeddings
										__SCREAMING_SNAKE_CASE:				Any           =   use_relative_position_bias
										__SCREAMING_SNAKE_CASE:				Dict           =   use_shared_relative_position_bias
										__SCREAMING_SNAKE_CASE:				Any           =   layer_scale_init_value
										__SCREAMING_SNAKE_CASE:				List[Any]           =   drop_path_rate
										__SCREAMING_SNAKE_CASE:				int           =   use_mean_pooling
										# decode head attributes (semantic segmentation)
										__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   out_indices
										__SCREAMING_SNAKE_CASE:				Optional[int]           =   pool_scales
										# auxiliary head attributes (semantic segmentation)
										__SCREAMING_SNAKE_CASE:				Optional[int]           =   use_auxiliary_head
										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   auxiliary_loss_weight
										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   auxiliary_channels
										__SCREAMING_SNAKE_CASE:				Optional[int]           =   auxiliary_num_convs
										__SCREAMING_SNAKE_CASE:				Any           =   auxiliary_concat_input
										__SCREAMING_SNAKE_CASE:				List[str]           =   semantic_loss_ignore_index





class 				a			(      __lowercase			):
				SCREAMING_SNAKE_CASE__     :   List[Any]		      =     version.parse('''1.11'''			)






				@property
				def 			snake_case_    (  self					):

										"""simple docstring"""




										return OrderedDict(
										    [
										        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
										    ]					)






				@property
				def 			snake_case_    (  self					):

										"""simple docstring"""




										return 1e-4



