Import a GraphDef and convert it to a textual MLIR module.
tf.mlir.experimental.convert_graph_def(
graph_def, pass_pipeline='tf-standard-pipeline'
)
Args |
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.
|
Returns |
A textual representation of the MLIR module corresponding to the graphdef.
Raises a RuntimeError on error.
|