1 /*
2  * Copyright (C) 2018 The Android Open Source Project
3  *
4  * Licensed under the Apache License, Version 2.0 (the "License");
5  * you may not use this file except in compliance with the License.
6  * You may obtain a copy of the License at
7  *
8  *      http://www.apache.org/licenses/LICENSE-2.0
9  *
10  * Unless required by applicable law or agreed to in writing, software
11  * distributed under the License is distributed on an "AS IS" BASIS,
12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13  * See the License for the specific language governing permissions and
14  * limitations under the License.
15  */
16 
17 #ifndef ANDROID_FRAMEWORKS_ML_NN_COMMON_OPERATIONS_MULTINOMIAL_H
18 #define ANDROID_FRAMEWORKS_ML_NN_COMMON_OPERATIONS_MULTINOMIAL_H
19 
20 #include <tensorflow/lite/kernels/internal/tensor_utils.h>
21 
22 #include <algorithm>
23 #include <cmath>
24 #include <vector>
25 
26 #include "HalInterfaces.h"
27 
28 namespace android {
29 namespace nn {
30 
31 struct RunTimeOperandInfo;
32 struct Shape;
33 
34 class Multinomial {
35    public:
36     Multinomial(const hal::Operation& operation, RunTimeOperandInfo* operands);
37 
38     static bool Prepare(const hal::Operation& operation, RunTimeOperandInfo* operands,
39                         Shape* outputShape);
40     bool Eval();
41 
42     static constexpr int kInputTensor = 0;
43     static constexpr int kSampleCountParam = 1;
44     static constexpr int kRandomSeedsTensor = 2;
45 
46     static constexpr int kOutputTensor = 0;
47 
48    private:
49     void EvalFloat32(const float* inputData);
50 
51     RunTimeOperandInfo* input_;
52     int sample_count_;
53     RunTimeOperandInfo* random_seeds_;
54 
55     RunTimeOperandInfo* output_;
56 };
57 
58 }  // namespace nn
59 }  // namespace android
60 
61 #endif  // ANDROID_FRAMEWORKS_ML_NN_COMMON_OPERATIONS_MULTINOMIAL_H
62