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/*
* 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 <algorithm>
#include <cmath>
#include <vector>
#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