



"""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
lowercase__		:    int				   =     """."""

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

def     UpperCamelCase_   (   lowerCAmelCase__				:    List[str]   ,       lowerCAmelCase__				:    Any   ,       lowerCAmelCase__				:    List[Any]						)						->       Optional[Any]:

  """simple docstring"""




  lowerCAmelCase_       :    Optional[Any]								=			SavedModel()
  lowerCAmelCase_       :    int								=			[]

  with open(os.path.join(lowerCAmelCase__   ,       'utils'   ,       'tf_ops'   ,       'onnx.json'						)						) as f:
    lowerCAmelCase_       :    List[str]								=			json.load(lowerCAmelCase__						)['opsets']

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

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

  lowerCAmelCase_       :    str								=			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_       :    Dict								=			sorted(lowerCAmelCase__						)
  lowerCAmelCase_       :    Union[str, Any]								=			[]

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

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


if __name__ == "__main__":
     lowercase__		:    Union[str, 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=1_2, 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__		:    Tuple				   =     parser.parse_args()

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










"""simple docstring"""







import baseaa

def     UpperCamelCase_   (   lowerCAmelCase__				:    str						)						->       bytes:

  """simple docstring"""




  return baseaa.aaaencode(string.encode('utf-8'						)						)

def     UpperCamelCase_   (   lowerCAmelCase__				:    bytes						)						->       str:

  """simple docstring"""




  return baseaa.aaadecode(lowerCAmelCase__						).decode('utf-8'						)


if __name__ == "__main__":
     import doctest

     doctest.testmod()





