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