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> 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 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 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
