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 #define LOG_TAG "Operations"
18
19 #include "Pow.h"
20 #include "HalInterfaces.h"
21 #include "IndexedShapeWrapper.h"
22 #include "OperationsUtils.h"
23
24 #include <cmath>
25
26 namespace android {
27 namespace nn {
28 namespace pow {
29
30 namespace {
31
32 using namespace hal;
33
34 template <typename T>
evalGeneric(const T * baseData,const Shape & baseShape,const T * exponentData,const Shape & exponentShape,T * outputData,const Shape & outputShape)35 bool evalGeneric(const T* baseData, const Shape& baseShape, const T* exponentData,
36 const Shape& exponentShape, T* outputData, const Shape& outputShape) {
37 IndexedShapeWrapper baseShapeIndexed(baseShape);
38 IndexedShapeWrapper exponentShapeIndexed(exponentShape);
39 IndexedShapeWrapper outputShapeIndexed(outputShape);
40
41 std::vector<uint32_t> curIndex(outputShape.dimensions.size(), 0);
42 bool lastIndex = false;
43 do {
44 uint32_t outputFlatIndex;
45 NN_CHECK(outputShapeIndexed.indexToFlatIndex(curIndex, &outputFlatIndex));
46 uint32_t baseFlatIndex;
47 NN_CHECK(baseShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &baseFlatIndex));
48 uint32_t exponentFlatIndex;
49 NN_CHECK(exponentShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &exponentFlatIndex));
50
51 outputData[outputFlatIndex] = std::pow(static_cast<float>(baseData[baseFlatIndex]),
52 static_cast<float>(exponentData[exponentFlatIndex]));
53
54 NN_CHECK(outputShapeIndexed.nextIndexInplace(&curIndex, &lastIndex));
55 } while (!lastIndex);
56
57 return true;
58 }
59
60 } // namespace
61
prepare(const Shape & baseShape,const Shape & exponentShape,Shape * output)62 bool prepare(const Shape& baseShape, const Shape& exponentShape, Shape* output) {
63 NN_OPS_CHECK(baseShape.type == exponentShape.type);
64 if (SameShape(baseShape, exponentShape)) {
65 return SetShape(baseShape, output);
66 }
67 return calculateBroadcastedShape(baseShape, exponentShape, output);
68 }
69
eval(const void * baseData,const Shape & baseShape,const void * exponentData,const Shape & exponentShape,void * outputData,const Shape & outputShape)70 bool eval(const void* baseData, const Shape& baseShape, const void* exponentData,
71 const Shape& exponentShape, void* outputData, const Shape& outputShape) {
72 switch (baseShape.type) {
73 case OperandType::TENSOR_FLOAT16: {
74 return evalGeneric(reinterpret_cast<const _Float16*>(baseData), baseShape,
75 reinterpret_cast<const _Float16*>(exponentData), exponentShape,
76 reinterpret_cast<_Float16*>(outputData), outputShape);
77 } break;
78 case OperandType::TENSOR_FLOAT32: {
79 return evalGeneric(reinterpret_cast<const float*>(baseData), baseShape,
80 reinterpret_cast<const float*>(exponentData), exponentShape,
81 reinterpret_cast<float*>(outputData), outputShape);
82 } break;
83 default: {
84 LOG(ERROR) << "Unsupported data type: " << toString(baseShape.type);
85 return false;
86 }
87 }
88 }
89
90 } // namespace pow
91 } // namespace nn
92 } // namespace android
93