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Import a GraphDef and convert it to a textual MLIR module.

This API is only intended for inspecting the internals of TensorFlow and the string returned is at the moment intended for debugging purposes.

graph_def An object of type graph_pb2.GraphDef or a textual proto representation of a valid GraphDef.
pass_pipeline A textual description of an MLIR Pass Pipeline to run on the module, see MLIR documentation for the textual pass pipeline syntax.

A textual representation of the MLIR module corresponding to the graphdef.

InvalidArgumentError if graph_def is invalid or cannot be converted to MLIR.