1# Copyright 2020 The TensorFlow Authors. All Rights Reserved. 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================== 15"""Python module for MLIR functions exported by pybind11.""" 16 17# pylint: disable=invalid-import-order, g-bad-import-order, wildcard-import, unused-import, undefined-variable 18from tensorflow.python import pywrap_tensorflow 19from tensorflow.python.eager import context 20from tensorflow.python._pywrap_mlir import * 21 22 23def import_graphdef(graphdef, 24 pass_pipeline, 25 show_debug_info, 26 input_names=None, 27 input_data_types=None, 28 input_data_shapes=None, 29 output_names=[]): 30 if input_names is not None: 31 return ImportGraphDef( 32 str(graphdef).encode('utf-8'), pass_pipeline.encode('utf-8'), 33 show_debug_info, ','.join(input_names).encode('utf-8'), 34 ','.join(input_data_types).encode('utf-8'), 35 ':'.join(input_data_shapes).encode('utf-8'), 36 ','.join(output_names).encode('utf-8')) 37 return ImportGraphDef( 38 str(graphdef).encode('utf-8'), pass_pipeline.encode('utf-8'), 39 show_debug_info) 40 41 42def import_function(concrete_function, pass_pipeline, show_debug_info): 43 ctxt = context.context() 44 ctxt.ensure_initialized() 45 return ImportFunction(ctxt._handle, 46 str(concrete_function.function_def).encode('utf-8'), 47 pass_pipeline.encode('utf-8'), show_debug_info) 48 49 50def experimental_convert_saved_model_to_mlir(saved_model_path, exported_names, 51 show_debug_info): 52 return ExperimentalConvertSavedModelToMlir( 53 str(saved_model_path).encode('utf-8'), 54 str(exported_names).encode('utf-8'), show_debug_info) 55 56 57def experimental_convert_saved_model_v1_to_mlir_lite(saved_model_path, 58 exported_names, tags, 59 upgrade_legacy, 60 show_debug_info): 61 return ExperimentalConvertSavedModelV1ToMlirLite( 62 str(saved_model_path).encode('utf-8'), 63 str(exported_names).encode('utf-8'), 64 str(tags).encode('utf-8'), upgrade_legacy, show_debug_info) 65 66 67def experimental_convert_saved_model_v1_to_mlir(saved_model_path, 68 exported_names, tags, 69 lift_variables, upgrade_legacy, 70 show_debug_info): 71 return ExperimentalConvertSavedModelV1ToMlir( 72 str(saved_model_path).encode('utf-8'), 73 str(exported_names).encode('utf-8'), 74 str(tags).encode('utf-8'), lift_variables, upgrade_legacy, 75 show_debug_info) 76 77 78def experimental_run_pass_pipeline(mlir_txt, pass_pipeline, show_debug_info): 79 return ExperimentalRunPassPipeline( 80 mlir_txt.encode('utf-8'), pass_pipeline.encode('utf-8'), show_debug_info) 81