



"""simple docstring"""






import argparse
import json
import os

from tensorflow.core.protobuf.saved_model_pba import SavedModel


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
__snake_case				:  int =       '.'

# Internal TensorFlow ops that can be safely ignored (mostly specific to a saved model)
__snake_case				:  Any =       [
    'Assert',
    'AssignVariableOp',
    'EmptyTensorList',
    'MergeV2Checkpoints',
    'ReadVariableOp',
    'ResourceGather',
    'RestoreV2',
    'SaveV2',
    'ShardedFilename',
    'StatefulPartitionedCall',
    'StaticRegexFullMatch',
    'VarHandleOp',
]


def      _lowercase							(    __snake_case   ,__snake_case   ,__snake_case      )		->  Dict:
			__lowerCAmelCase :    Optional[int]				=			SavedModel()
			__lowerCAmelCase :    List[Any]				=			[]

			with open(os.path.join(__snake_case   ,"utils"   ,"tf_ops"   ,"onnx.json"      )      ) as f:
						__lowerCAmelCase :    int				=			json.load(__snake_case      )["opsets"]

			for i in range(1   ,opset + 1      ):
						onnx_ops.extend(onnx_opsets[str(__snake_case      )]      )

			with open(__snake_case   ,"rb"      ) as f:
						saved_model.ParseFromString(f.read()      )

			__lowerCAmelCase :    List[Any]				=			set()

			# Iterate over every metagraph in case there is more than one (a saved model can contain multiple graphs)
			for meta_graph in saved_model.meta_graphs:
						# Add operations in the graph definition
						model_op_names.update(node.op for node in meta_graph.graph_def.node      )

						# Go through the functions in the graph definition
						for func in meta_graph.graph_def.library.function:
									# Add operations in each function
									model_op_names.update(node.op for node in func.node_def      )

    # Convert to list, sorted if you want
			__lowerCAmelCase :    Tuple				=			sorted(__snake_case      )
			__lowerCAmelCase :    int				=			[]

			for op in model_op_names:
						if op not in onnx_ops and op not in INTERNAL_OPS:
									incompatible_ops.append(__snake_case      )

			if strict and len(__snake_case      ) > 0:
						raise Exception(F"""Found the following incompatible ops for the opset {opset}:\n""" + incompatible_ops      )
			elif len(__snake_case      ) > 0:
						print(F"""Found the following incompatible ops for the opset {opset}:"""      )
						print(*__snake_case   ,sep="\n"      )
			else:
						print(F"""The saved model {saved_model_path} can properly be converted with ONNX."""      )


if __name__ == "__main__":
	__snake_case				:  List[Any] =       argparse.ArgumentParser()
	parser.add_argument('--saved_model_path', help='Path of the saved model to check (the .pb file).')
	parser.add_argument(
	    '--opset', default=12, type=int, help='The ONNX opset against which the model has to be tested.'
	)
	parser.add_argument(
	    '--framework', choices=['onnx'], default='onnx', help='Frameworks against which to test the saved model.'
	)
	parser.add_argument(
	    '--strict', action='store_true', help='Whether make the checking strict (raise errors) or not (raise warnings)'
	)
	__snake_case				:  List[Any] =       parser.parse_args()

	if args.framework == "onnx":
		onnx_compliancy(args.saved_model_path, args.strict, args.opset)




"""simple docstring"""






from ..utils import DummyObject, requires_backends



class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						Union[str, Any]			,     *_SCREAMING_SNAKE_CASE:						Any			,     **_SCREAMING_SNAKE_CASE:						int)							->			List[Any]:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Union[str, Any]			,     *_SCREAMING_SNAKE_CASE:						List[Any]			,     **_SCREAMING_SNAKE_CASE:						Union[str, Any])							->			Union[str, Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						int			,     *_SCREAMING_SNAKE_CASE:						Any			,     **_SCREAMING_SNAKE_CASE:						str)							->			Union[str, Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])






class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						Tuple			,     *_SCREAMING_SNAKE_CASE:						Optional[Any]			,     **_SCREAMING_SNAKE_CASE:						List[str])							->			Optional[int]:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Dict			,     *_SCREAMING_SNAKE_CASE:						Optional[Any]			,     **_SCREAMING_SNAKE_CASE:						int)							->			List[Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Optional[Any]			,     *_SCREAMING_SNAKE_CASE:						Dict			,     **_SCREAMING_SNAKE_CASE:						Optional[Any])							->			Union[str, Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])






class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						int			,     *_SCREAMING_SNAKE_CASE:						List[Any]			,     **_SCREAMING_SNAKE_CASE:						int)							->			List[str]:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Dict			,     *_SCREAMING_SNAKE_CASE:						Any			,     **_SCREAMING_SNAKE_CASE:						Any)							->			str:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						List[Any]			,     *_SCREAMING_SNAKE_CASE:						List[str]			,     **_SCREAMING_SNAKE_CASE:						int)							->			int:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])






class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						Tuple			,     *_SCREAMING_SNAKE_CASE:						List[str]			,     **_SCREAMING_SNAKE_CASE:						List[str])							->			Optional[Any]:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						List[str]			,     *_SCREAMING_SNAKE_CASE:						Tuple			,     **_SCREAMING_SNAKE_CASE:						int)							->			int:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Optional[int]			,     *_SCREAMING_SNAKE_CASE:						str			,     **_SCREAMING_SNAKE_CASE:						Any)							->			int:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])






class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						Optional[Any]			,     *_SCREAMING_SNAKE_CASE:						Union[str, Any]			,     **_SCREAMING_SNAKE_CASE:						Optional[int])							->			str:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Optional[int]			,     *_SCREAMING_SNAKE_CASE:						List[Any]			,     **_SCREAMING_SNAKE_CASE:						Tuple)							->			Union[str, Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						int			,     *_SCREAMING_SNAKE_CASE:						str			,     **_SCREAMING_SNAKE_CASE:						Any)							->			Optional[Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])






class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						List[Any]			,     *_SCREAMING_SNAKE_CASE:						List[str]			,     **_SCREAMING_SNAKE_CASE:						List[str])							->			int:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Union[str, Any]			,     *_SCREAMING_SNAKE_CASE:						Optional[int]			,     **_SCREAMING_SNAKE_CASE:						Optional[Any])							->			List[Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						str			,     *_SCREAMING_SNAKE_CASE:						Optional[int]			,     **_SCREAMING_SNAKE_CASE:						Dict)							->			Optional[Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])