




"""simple docstring"""


import os

import numpy
import onnx



def        lowercase_      ( __UpperCAmelCase				,		__UpperCAmelCase      )						->				int:
      lowerCAmelCase__			: str  					=       a.name
      lowerCAmelCase__			: Any  					=       b.name

      lowerCAmelCase__			: int  					=       ''''''
      lowerCAmelCase__			: Tuple  					=       ''''''

      lowerCAmelCase__			: str  					=       a == b

      lowerCAmelCase__			: str  					=       name_a
      lowerCAmelCase__			: Optional[Any]  					=       name_b

      return res



def        lowercase_      ( __UpperCAmelCase				,		__UpperCAmelCase				,		__UpperCAmelCase      )						->				Optional[int]:





      for i, input_name in enumerate(node_proto.input      ):
            if input_name == name:
                  node_proto.input.insert(_snake_case				,		_snake_case      )
                  node_proto.input.pop(i + 1      )

      if node_proto.op_type == "If":
            _graph_replace_input_with(node_proto.attribute[0].g				,		_snake_case				,		_snake_case      )
            _graph_replace_input_with(node_proto.attribute[1].g				,		_snake_case				,		_snake_case      )
      if node_proto.op_type == "Loop":
            _graph_replace_input_with(node_proto.attribute[0].g				,		_snake_case				,		_snake_case      )



def        lowercase_      ( __UpperCAmelCase				,		__UpperCAmelCase				,		__UpperCAmelCase      )						->				List[Any]:





      for n in graph_proto.node:
            _node_replace_input_with(_snake_case				,		_snake_case				,		_snake_case      )



def        lowercase_      ( __UpperCAmelCase				,		__UpperCAmelCase				,		__UpperCAmelCase      )						->				int:
      lowerCAmelCase__			: int  					=       list(model.graph.initializer      )
      lowerCAmelCase__			: Union[str, Any]  					=       list(model_without_ext.graph.initializer      )
      for i, ref_i in ind_to_replace:
            assert inits_with_data[i].name == inits[i].name
            assert inits_with_data[ref_i].name == inits[ref_i].name
            assert i > ref_i

            lowerCAmelCase__			: List[str]  					=       inits[i].name
            lowerCAmelCase__			: str  					=       inits[ref_i].name

            model_without_ext.graph.initializer.remove(inits[i]      )

            # for n in model.graph.node:
            _graph_replace_input_with(model_without_ext.graph				,		_snake_case				,		_snake_case      )



def        lowercase_      ( __UpperCAmelCase      )						->				str:
      lowerCAmelCase__			: Union[str, Any]  					=       os.path.dirname(_snake_case      )
      lowerCAmelCase__			: Optional[Any]  					=       os.path.basename(_snake_case      )

      lowerCAmelCase__			: Any  					=       onnx.load(os.path.join(_snake_case				,		_snake_case      )      )

      lowerCAmelCase__			: str  					=       list(model.graph.initializer      )

      lowerCAmelCase__			: Tuple  					=       set()
      lowerCAmelCase__			: List[str]  					=       {}
      lowerCAmelCase__			: Optional[int]  					=       []

      lowerCAmelCase__			: Optional[Any]  					=       0

      for i in range(len(_snake_case      )      ):
            if i in dup_set:
                  continue

            for j in range(i + 1				,		len(_snake_case      )      ):
                  if j in dup_set:
                        continue
                  if _is_equal_tensor_proto(inits[i]				,		inits[j]      ):
                        dup_set.add(_snake_case      )
                        dup_set.add(_snake_case      )

                        lowerCAmelCase__			: List[Any]  					=       inits[j].data_type
                        lowerCAmelCase__			: List[Any]  					=       numpy.prod(inits[j].dims      )
                        if dtype == 1:
                              mem_size *= 4
                        elif dtype == 6:
                              mem_size *= 4
                        elif dtype == 7 or dtype == 11:
                              mem_size *= 8
                        else:
                              print("""unexpected data type: """				,		_snake_case      )
                        total_reduced_size += mem_size

                        lowerCAmelCase__			: Optional[Any]  					=       inits[i].name
                        lowerCAmelCase__			: Dict  					=       inits[j].name

                        if name_i in dup_map:
                              dup_map[name_i].append(_snake_case      )
                        else:
                              lowerCAmelCase__			: Union[str, Any]  					=       [name_j]
                        ind_to_replace.append((j, i)      )

      print("""total reduced size: """				,		total_reduced_size / 1024 / 1024 / 1024				,		"""GB"""      )

      lowerCAmelCase__			: Any  					=       sorted(_snake_case      )
      _remove_dup_initializers_from_model(_snake_case				,		_snake_case				,		_snake_case      )

      lowerCAmelCase__			: List[Any]  					=       '''optimized_''' + model_file_name
      lowerCAmelCase__			: Any  					=       os.path.join(_snake_case				,		_snake_case      )
      onnx.save(_snake_case				,		_snake_case      )

      return new_model









"""simple docstring"""
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


SCREAMING_SNAKE_CASE :    Dict									=				logging.get_logger(__name__)

SCREAMING_SNAKE_CASE :    Optional[int]									=				{
    """hustvl/yolos-small""": """https://huggingface.co/hustvl/yolos-small/resolve/main/config.json""",
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}



class 			_UpperCAmelCase (							__snake_case				):






		'''simple docstring'''

		lowerCamelCase__				='yolos'



		def __init__(self				,       a_=7_68				,       a_=12				,       a_=12				,       a_=30_72				,       a_="gelu"				,       a_=0.0				,       a_=0.0				,       a_=0.02				,       a_=1E-12				,       a_=[5_12, 8_64]				,       a_=16				,       a_=3				,       a_=True				,       a_=1_00				,       a_=True				,       a_=False				,       a_=1				,       a_=5				,       a_=2				,       a_=5				,       a_=2				,       a_=0.1				,       **a_				,       ):





			'''simple docstring'''

			super().__init__(**a_					)

			__snake_case	:						Union[str, Any]						=				hidden_size
			__snake_case	:						Union[str, Any]						=				num_hidden_layers
			__snake_case	:						Dict						=				num_attention_heads
			__snake_case	:						str						=				intermediate_size
			__snake_case	:						List[str]						=				hidden_act
			__snake_case	:						Tuple						=				hidden_dropout_prob
			__snake_case	:						Optional[int]						=				attention_probs_dropout_prob
			__snake_case	:						Union[str, Any]						=				initializer_range
			__snake_case	:						Tuple						=				layer_norm_eps
			__snake_case	:						List[Any]						=				image_size
			__snake_case	:						Tuple						=				patch_size
			__snake_case	:						str						=				num_channels
			__snake_case	:						Tuple						=				qkv_bias
			__snake_case	:						Union[str, Any]						=				num_detection_tokens
			__snake_case	:						List[str]						=				use_mid_position_embeddings
			__snake_case	:						Tuple						=				auxiliary_loss
			# Hungarian matcher
			__snake_case	:						List[str]						=				class_cost
			__snake_case	:						int						=				bbox_cost
			__snake_case	:						int						=				giou_cost
			# Loss coefficients
			__snake_case	:						Optional[int]						=				bbox_loss_coefficient
			__snake_case	:						List[str]						=				giou_loss_coefficient
			__snake_case	:						List[Any]						=				eos_coefficient



class 			_UpperCAmelCase (							__snake_case				):






		'''simple docstring'''

		lowerCamelCase__				=version.parse('1.11'				)



		@property
		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

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



		@property
		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			return 1E-4



		@property
		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			return 12





