tf.mlir.experimental.convert_graph_def
Stay organized with collections
Save and categorize content based on your preferences.
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.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
View source on GitHub