




"""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__     						=						"""."""

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







def      _snake_case			(				lowercase__							,    lowercase__							,    lowercase__		):
				_lowerCamelCase     :			Dict    =    SavedModel()
				_lowerCamelCase     :			Optional[int]    =    []

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

				_lowerCamelCase     :			List[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     :			Union[str, Any]    =    sorted(lowercase__		)
				_lowerCamelCase     :			Optional[int]    =    []

				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__     						=						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__     						=						parser.parse_args()

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





"""simple docstring"""






lowercase__     						=						{
    """meter""": """m""",
    """kilometer""": """km""",
    """megametre""": """Mm""",
    """gigametre""": """Gm""",
    """terametre""": """Tm""",
    """petametre""": """Pm""",
    """exametre""": """Em""",
    """zettametre""": """Zm""",
    """yottametre""": """Ym""",
}
# Exponent of the factor(meter)
lowercase__     						=						{
    """m""": 0,
    """km""": 3,
    """Mm""": 6,
    """Gm""": 9,
    """Tm""": 12,
    """Pm""": 15,
    """Em""": 18,
    """Zm""": 21,
    """Ym""": 24,
}







def      _snake_case			(				lowercase__							,    lowercase__							,    lowercase__		):
				_lowerCamelCase     :			List[Any]    =    from_type.lower().strip('s'		)
				_lowerCamelCase     :			List[Any]    =    to_type.lower().strip('s'		)

				_lowerCamelCase     :			Optional[int]    =    UNIT_SYMBOL.get(lowercase__							,    lowercase__		)
				_lowerCamelCase     :			Any    =    UNIT_SYMBOL.get(lowercase__							,    lowercase__		)

				if from_sanitized not in METRIC_CONVERSION:
								_lowerCamelCase     :			Tuple    =    (
								    f'''Invalid \'from_type\' value: {from_type!r}.\n'''
								    f'''Conversion abbreviations are: {', '.join(lowercase__		)}'''
								)
								raise ValueError(lowercase__		)
				if to_sanitized not in METRIC_CONVERSION:
								_lowerCamelCase     :			Any    =    (
								    f'''Invalid \'to_type\' value: {to_type!r}.\n'''
								    f'''Conversion abbreviations are: {', '.join(lowercase__		)}'''
								)
								raise ValueError(lowercase__		)
				_lowerCamelCase     :			List[Any]    =    METRIC_CONVERSION[from_sanitized]
				_lowerCamelCase     :			int    =    METRIC_CONVERSION[to_sanitized]
				_lowerCamelCase     :			List[str]    =    1

				if from_exponent > to_exponent:
								_lowerCamelCase     :			List[str]    =    from_exponent - to_exponent
				else:
								_lowerCamelCase     :			List[Any]    =    -(to_exponent - from_exponent)

				return value * pow(10							,    lowercase__		)


if __name__ == "__main__":
			from doctest import testmod

			testmod()