| # Copyright 2020 The TensorFlow Authors. All Rights Reserved. |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # ============================================================================== |
| """Python module for MLIR functions exported by pybind11.""" |
| |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| # pylint: disable=invalid-import-order, g-bad-import-order, wildcard-import, unused-import, undefined-variable |
| from tensorflow.python import pywrap_tensorflow |
| from tensorflow.python._pywrap_mlir import * |
| |
| |
| def import_graphdef(graphdef, pass_pipeline): |
| return ImportGraphDef( |
| str(graphdef).encode('utf-8'), |
| pass_pipeline.encode('utf-8')) |
| |
| |
| def experimental_convert_saved_model_to_mlir(saved_model_path, exported_names, |
| show_debug_info): |
| return ExperimentalConvertSavedModelToMlir( |
| str(saved_model_path).encode('utf-8'), |
| str(exported_names).encode('utf-8'), show_debug_info) |
| |
| |
| def experimental_convert_saved_model_v1_to_mlir(saved_model_path, tags, |
| show_debug_info): |
| return ExperimentalConvertSavedModelV1ToMlir( |
| str(saved_model_path).encode('utf-8'), |
| str(tags).encode('utf-8'), show_debug_info) |
| |
| |
| def experimental_run_pass_pipeline(mlir_txt, pass_pipeline, show_debug_info): |
| return ExperimentalRunPassPipeline( |
| mlir_txt.encode('utf-8'), pass_pipeline.encode('utf-8'), |
| show_debug_info) |