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/*
* Copyright (C) 2018 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#define LOG_TAG "Operations"
#include "Pow.h"
#include <cmath>
#include <vector>
#include "IndexedShapeWrapper.h"
#include "OperationsUtils.h"
namespace android {
namespace nn {
namespace pow {
namespace {
template <typename T>
bool evalGeneric(const T* baseData, const Shape& baseShape, const T* exponentData,
const Shape& exponentShape, T* outputData, const Shape& outputShape) {
IndexedShapeWrapper baseShapeIndexed(baseShape);
IndexedShapeWrapper exponentShapeIndexed(exponentShape);
IndexedShapeWrapper outputShapeIndexed(outputShape);
std::vector<uint32_t> curIndex(outputShape.dimensions.size(), 0);
bool lastIndex = false;
do {
uint32_t outputFlatIndex;
NN_CHECK(outputShapeIndexed.indexToFlatIndex(curIndex, &outputFlatIndex));
uint32_t baseFlatIndex;
NN_CHECK(baseShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &baseFlatIndex));
uint32_t exponentFlatIndex;
NN_CHECK(exponentShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &exponentFlatIndex));
outputData[outputFlatIndex] = std::pow(static_cast<float>(baseData[baseFlatIndex]),
static_cast<float>(exponentData[exponentFlatIndex]));
NN_CHECK(outputShapeIndexed.nextIndexInplace(&curIndex, &lastIndex));
} while (!lastIndex);
return true;
}
} // namespace
bool prepare(const Shape& baseShape, const Shape& exponentShape, Shape* output) {
NN_OPS_CHECK(baseShape.type == exponentShape.type);
if (SameShape(baseShape, exponentShape)) {
return SetShape(baseShape, output);
}
return calculateBroadcastedShape(baseShape, exponentShape, output);
}
bool eval(const void* baseData, const Shape& baseShape, const void* exponentData,
const Shape& exponentShape, void* outputData, const Shape& outputShape) {
switch (baseShape.type) {
case OperandType::TENSOR_FLOAT16: {
return evalGeneric(reinterpret_cast<const _Float16*>(baseData), baseShape,
reinterpret_cast<const _Float16*>(exponentData), exponentShape,
reinterpret_cast<_Float16*>(outputData), outputShape);
} break;
case OperandType::TENSOR_FLOAT32: {
return evalGeneric(reinterpret_cast<const float*>(baseData), baseShape,
reinterpret_cast<const float*>(exponentData), exponentShape,
reinterpret_cast<float*>(outputData), outputShape);
} break;
default: {
LOG(ERROR) << "Unsupported data type: " << baseShape.type;
return false;
}
}
}
} // namespace pow
} // namespace nn
} // namespace android
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