tf.mlir.experimental.convert_graph_def

Import a GraphDef and convert it to a textual MLIR module.

Compat aliases for migration

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.

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Last updated 2022-11-04 UTC.

Args