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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/mlir/experimental/convert_graph_def