tf.mlir.experimental.convert_graph_def

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

tf.mlir.experimental.convert_graph_def(
    graph_def,
    pass_pipeline='tf-standard-pipeline',
    show_debug_info=False
)

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.
show_debug_info Whether to include locations in the emitted textual form.

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

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