tf.mlir.experimental.convert_graph_def
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Import a GraphDef and convert it to a textual MLIR module.
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. |
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Last updated 2024-04-26 UTC.
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