tf.mlir.experimental.convert_graph_def
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Import a GraphDef and convert it to a textual MLIR module.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.mlir.experimental.convert_graph_def
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.
Raises
InvalidArgumentError
if graph_def is invalid or cannot be converted to
MLIR.
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. Some content is licensed under the numpy license .
Last updated 2024-01-23 UTC.
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