STT-tensorflow/tensorflow/tools/api/golden/v1/tensorflow.mlir.experimental.pbtxt
Andy Ly ba167d161e Add python wrapper mlir.experimental.convert_function for importing ConcreteFunctions into TF MLIR.
This takes a ConcreteFunction, collects a FunctionDef for the function and an associated FunctionDefLibrary, and imports the FunctionDef and FunctionDefLibrary via `ConvertFunctionToMlir`.
Control rets/target nodes of the entry function are also now supported in `ConvertFunctionToMlir`.

PiperOrigin-RevId: 331195841
Change-Id: Ib3a7264e90ca303ab7a850bf18c8d5e330063a4f
2020-09-11 12:21:46 -07:00

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