

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
lowercase			:				Dict   =     "."

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






def        snake_case__		(    lowerCamelCase_     ,				lowerCamelCase_     ,				lowerCamelCase_		):
							A      :					int      		=					SavedModel()
							A      :					str      		=					[]

							with open(os.path.join(lowercase_     ,				'''utils'''     ,				'''tf_ops'''     ,				'''onnx.json'''		)		) as f:
														A      :					Union[str, Any]      		=					json.load(lowercase_		)['''opsets''']

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

							with open(lowercase_     ,				'''rb'''		) as f:
														saved_model.ParseFromString(f.read()		)

							A      :					Dict      		=					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
							A      :					Union[str, Any]      		=					sorted(lowercase_		)
							A      :					Union[str, Any]      		=					[]

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

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


if __name__ == "__main__":
		lowercase			:				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)"
		)
		lowercase			:				List[Any]   =     parser.parse_args()

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













import os




def  __UpperCAmelCase(   ):
       with open(os.path.dirname(lowercase_   ) + '''/p022_names.txt'''   ) as file:
              _lowerCamelCase				:  Optional[int]						=		str(file.readlines()[0]   )
              _lowerCamelCase				:  List[Any]						=		names.replace('''"'''			,     ''''''   ).split(''','''   )

       names.sort()

       _lowerCamelCase				:  Optional[int]						=		0
       _lowerCamelCase				:  Tuple						=		0

       for i, name in enumerate(lowercase_   ):
              for letter in name:
                     name_score += ord(lowercase_   ) - 64

              total_score += (i + 1) * name_score
              _lowerCamelCase				:  Optional[int]						=		0
       return total_score


if __name__ == "__main__":
       print(solution())

