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