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