/* Copyright 2021 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. ==============================================================================*/ #ifndef TENSORFLOW_LITE_MICRO_TFLITE_BRIDGE_FLATBUFFER_CONVERSIONS_BRIDGE_H_ #define TENSORFLOW_LITE_MICRO_TFLITE_BRIDGE_FLATBUFFER_CONVERSIONS_BRIDGE_H_ #include "edge-impulse-sdk/tensorflow/lite/c/c_api_types.h" #include "edge-impulse-sdk/tensorflow/lite/core/api/flatbuffer_conversions.h" #include "edge-impulse-sdk/tensorflow/lite/schema/schema_generated.h" namespace tflite { // Forward declaration of the ErrorReporter class to hide it from the TFLM code. class ErrorReporter; using TfLiteBridgeBuiltinDataAllocator = BuiltinDataAllocator; using TfLiteBridgeBuiltinParseFunction = TfLiteStatus (*)(const Operator* op, ErrorReporter* error_reporter, BuiltinDataAllocator* allocator, void** builtin_data); // Converts the tensor data type used in the flatbuffer to the representation // used by the runtime. TfLiteStatus ConvertTensorType(TensorType tensor_type, TfLiteType* type); // CallBuiltinParseFunction is a wrapper function to wrap the parser function // calls to Call parser(op, allocator, builtin_data) TfLiteStatus CallBuiltinParseFunction(TfLiteBridgeBuiltinParseFunction parser, const Operator* op, BuiltinDataAllocator* allocator, void** builtin_data); } // namespace tflite #endif // TENSORFLOW_LITE_MICRO_TFLITE_BRIDGE_FLATBUFFER_CONVERSIONS_BRIDGE_H_