






'''simple docstring'''

import os

import numpy
import onnx






def 	_UpperCAmelCase    (  a		:	Optional[Any]						,			a		:	Any							)			->			List[str]:





      """simple docstring"""
      lowercase_      :   Optional[Any]        =			a.name
      lowercase_      :   List[str]        =			b.name

      lowercase_      :   int        =			''
      lowercase_      :   Dict        =			''

      lowercase_      :   Optional[Any]        =			a == b

      lowercase_      :   Optional[Any]        =			name_a
      lowercase_      :   Optional[Any]        =			name_b

      return res






def 	_UpperCAmelCase    (  a		:	Any						,			a		:	Optional[Any]						,			a		:	Any							)			->			Union[str, Any]:





      """simple docstring"""
      for i, input_name in enumerate(node_proto.input							):
            if input_name == name:
                  node_proto.input.insert(a						,			a							)
                  node_proto.input.pop(i + 1							)

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






def 	_UpperCAmelCase    (  a		:	Dict						,			a		:	Union[str, Any]						,			a		:	Any							)			->			Tuple:





      """simple docstring"""
      for n in graph_proto.node:
            _node_replace_input_with(a						,			a						,			a							)






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict						,			a		:	str							)			->			List[Any]:





      """simple docstring"""
      lowercase_      :   Tuple        =			list(model.graph.initializer							)
      lowercase_      :   List[str]        =			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

            lowercase_      :   List[str]        =			inits[i].name
            lowercase_      :   Dict        =			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						,			a						,			a							)






def 	_UpperCAmelCase    (  a		:	List[Any]							)			->			str:





      """simple docstring"""
      lowercase_      :   List[Any]        =			os.path.dirname(a							)
      lowercase_      :   List[str]        =			os.path.basename(a							)

      lowercase_      :   Dict        =			onnx.load(os.path.join(a						,			a							)							)

      lowercase_      :   Optional[int]        =			list(model.graph.initializer							)

      lowercase_      :   Tuple        =			set()
      lowercase_      :   int        =			{}
      lowercase_      :   Optional[Any]        =			[]

      lowercase_      :   Optional[Any]        =			0

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

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

                        lowercase_      :   Any        =			inits[j].data_type
                        lowercase_      :   Dict        =			numpy.prod(inits[j].dims							)
                        if dtype == 1:
                              mem_size *= 4
                        elif dtype == 6:
                              mem_size *= 4
                        elif dtype == 7 or dtype == 1_1:
                              mem_size *= 8
                        else:
                              print('unexpected data type: '						,			a							)
                        total_reduced_size += mem_size

                        lowercase_      :   List[str]        =			inits[i].name
                        lowercase_      :   List[Any]        =			inits[j].name

                        if name_i in dup_map:
                              dup_map[name_i].append(a							)
                        else:
                              lowercase_      :   str        =			[name_j]
                        ind_to_replace.append((j, i)							)

      print('total reduced size: '						,			total_reduced_size / 1_0_2_4 / 1_0_2_4 / 1_0_2_4						,			'GB'							)

      lowercase_      :   Optional[Any]        =			sorted(a							)
      _remove_dup_initializers_from_model(a						,			a						,			a							)

      lowercase_      :   Dict        =			'optimized_' + model_file_name
      lowercase_      :   str        =			os.path.join(a						,			a							)
      onnx.save(a						,			a							)

      return new_model








'''simple docstring'''

import os
from distutils.util import strtobool






def 	_UpperCAmelCase    (  a		:	Any						,			a		:	int							)			->			Any:





						"""simple docstring"""
						for e in env_keys:
												lowercase_      :   Optional[Any]        =			int(os.environ.get(a						,			-1							)							)
												if val >= 0:
																		return val
						return default






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict=False							)			->			Optional[Any]:





						"""simple docstring"""
						lowercase_      :   Optional[int]        =			os.environ.get(a						,			str(a							)							)
						return strtobool(a							) == 1  # As its name indicates `strtobool` actually returns an int...






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict="no"							)			->			str:





						"""simple docstring"""
						lowercase_      :   List[Any]        =			os.environ.get(a						,			str(a							)							)
						return value
