

"""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
__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   lowerCAmelCase						(					__UpperCamelCase							,    __UpperCamelCase							,    __UpperCamelCase      ):
 '''simple docstring'''





 UpperCAmelCase__					:  int					   =					SavedModel()
 UpperCAmelCase__					:  List[Any]					   =					[]

 with open(os.path.join(__UpperCamelCase							,    """utils"""							,    """tf_ops"""							,    """onnx.json"""      )      ) as f:
  UpperCAmelCase__					:  Optional[Any]					   =					json.load(__UpperCamelCase      )["""opsets"""]

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

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

 UpperCAmelCase__					:  Union[str, 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
 UpperCAmelCase__					:  List[str]					   =					sorted(__UpperCamelCase      )
 UpperCAmelCase__					:  Optional[Any]					   =					[]

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

 if strict and len(__UpperCamelCase      ) > 0:
  raise Exception(F"Found the following incompatible ops for the opset {opset}:\n" + incompatible_ops      )
 elif len(__UpperCamelCase      ) > 0:
  print(F"Found the following incompatible ops for the opset {opset}:"      )
  print(*__UpperCamelCase							,    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"""




__UpperCAmelCase =				'Tobias Carryer'

from time import time







class      __lowercase			:

  def __init__(  self		:			Union[str, Any]					,A		:			Dict					,A		:			Optional[int]					,A		:			Union[str, Any]					,A		:			int=int(time()    )    ):  # noqa: B008






   '''simple docstring'''
   UpperCAmelCase__					:  int					   =					multiplier
   UpperCAmelCase__					:  Union[str, Any]					   =					increment
   UpperCAmelCase__					:  Dict					   =					modulo
   UpperCAmelCase__					:  Tuple					   =					seed




  def    __lowercase       (  self		:			Dict    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Any					   =					(self.multiplier * self.seed + self.increment) % self.modulo
   return self.seed


if __name__ == "__main__":
      # Show the LCG in action.
      __UpperCAmelCase =				LinearCongruentialGenerator(166_4525, 10_1390_4223, 2 << 31)
      while True:
            print(lcg.next_number())





