



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
UpperCAmelCase__   =       "."

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





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







			'''simple docstring'''
			_UpperCAmelCase		       =   SavedModel()
			_UpperCAmelCase		       =   []

			with open(os.path.join(lowercase__							,   'utils'							,   'tf_ops'							,   'onnx.json'    )    ) as f:
						_UpperCAmelCase		       =   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()    )

			_UpperCAmelCase		       =   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
			_UpperCAmelCase		       =   sorted(lowercase__    )
			_UpperCAmelCase		       =   []

			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__":
							UpperCAmelCase__   =       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)"
							)
							UpperCAmelCase__   =       parser.parse_args()

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






"""simple docstring"""






import socket







def      _snake_case			(				):
				_lowerCamelCase     :			List[Any]    =    socket.socket(socket.AF_INET							,    socket.SOCK_STREAM		)
				_lowerCamelCase     :			Union[str, Any]    =    socket.gethostname()
				_lowerCamelCase     :			List[Any]    =    12312

				sock.connect((host, port)		)
				sock.send(B'Hello server!'		)

				with open('Received_file'							,    'wb'		) as out_file:
								print('File opened'		)
								print('Receiving data...'		)
								while True:
												_lowerCamelCase     :			int    =    sock.recv(1024		)
												if not data:
																break
												out_file.write(lowercase__		)

				print('Successfully received the file'		)
				sock.close()
				print('Connection closed'		)


if __name__ == "__main__":
			main()