Amit Patankar 9d41ea557a Export the MLIR classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information. ...

PiperOrigin-RevId: 292076160
Change-Id: I62bf3aac988c3ce4e18aa01ee49d8aa9ffde383d

2020-01-28 21:57:23 -08:00

..

BUILD

Export the MLIR classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.

2020-01-28 21:57:23 -08:00

mlir_test.py

Implement a basic API: tf.mlir.experimental.convert_graph_def

2019-09-09 15:00:00 -07:00

mlir.py

Export the MLIR classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.

2020-01-28 21:57:23 -08:00