STT-tensorflow/tensorflow/tools/api/golden/v1/tensorflow.mlir.experimental.pbtxt
Mehdi Amini 9588a6e19b Add pass_pipeline optional arguments when importing a GraphDef to MLIR
The `tensorflow.mlir.experimental.convert_graph_def()` API gains an extra
argument to define the pass_pipeline to run on the imported graph.
Providing an empty string will not trigger any MLIR passes to be ran, the
default is to run a standard set of target-independent optimizations.
The syntax for this textual string representation of the pass pipeline is
the MLIR standard notation, refer to the MLIR documentation for more details.

PiperOrigin-RevId: 269438392
2019-09-16 16:32:56 -07:00

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path: "tensorflow.mlir.experimental"
tf_module {
member_method {
name: "convert_graph_def"
argspec: "args=[\'graph_def\', \'pass_pipeline\'], varargs=None, keywords=None, defaults=[\'tf-standard-pipeline\'], "
}
}