Import a GraphDef and convert it to a textual MLIR module.
View aliases
Compat aliases for migration
See Migration guide for more details.
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.
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. |
show_debug_info
|
Whether to include locations in the emitted textual form. |
Returns | |
---|---|
A textual representation of the MLIR module corresponding to the graphdef. |