/* * Copyright (C) 2018 The Android Open Source Project * * 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 ANDROID_FRAMEWORKS_ML_NN_COMMON_OPERATIONS_MULTINOMIAL_H #define ANDROID_FRAMEWORKS_ML_NN_COMMON_OPERATIONS_MULTINOMIAL_H #include #include #include #include "nnapi/Types.h" namespace android { namespace nn { struct RunTimeOperandInfo; struct Shape; class Multinomial { public: Multinomial(const Operation& operation, RunTimeOperandInfo* operands); static bool Prepare(const Operation& operation, RunTimeOperandInfo* operands, Shape* outputShape); bool Eval(); static constexpr int kInputTensor = 0; static constexpr int kSampleCountParam = 1; static constexpr int kRandomSeedsTensor = 2; static constexpr int kOutputTensor = 0; private: void EvalFloat32(const float* inputData); RunTimeOperandInfo* input_; int sample_count_; RunTimeOperandInfo* random_seeds_; RunTimeOperandInfo* output_; }; } // namespace nn } // namespace android #endif // ANDROID_FRAMEWORKS_ML_NN_COMMON_OPERATIONS_MULTINOMIAL_H