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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 "MaximumMinimum.h"
- #include "IndexedShapeWrapper.h"
- #include "OperationsUtils.h"
- #include "Tracing.h"
- namespace android {
- namespace nn {
- namespace maximum_minimum {
- namespace {
- template <typename T>
- bool evalGeneric(const T* aData, const Shape& aShape, const T* bData, const Shape& bShape,
- bool isMinimum, T* outputData, const Shape& outputShape) {
- IndexedShapeWrapper aShapeIndexed(aShape);
- IndexedShapeWrapper bShapeIndexed(bShape);
- 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 aFlatIndex;
- NN_CHECK(aShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &aFlatIndex));
- uint32_t bFlatIndex;
- NN_CHECK(bShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &bFlatIndex));
- outputData[outputFlatIndex] = isMinimum ? std::min(aData[aFlatIndex], bData[bFlatIndex])
- : std::max(aData[aFlatIndex], bData[bFlatIndex]);
- NN_CHECK(outputShapeIndexed.nextIndexInplace(&curIndex, &lastIndex));
- } while (!lastIndex);
- return true;
- }
- bool evalQuant8(const uint8_t* aData, const Shape& aShape, const uint8_t* bData,
- const Shape& bShape, bool isMinimum, uint8_t* outputData,
- const Shape& outputShape) {
- IndexedShapeWrapper aShapeIndexed(aShape);
- IndexedShapeWrapper bShapeIndexed(bShape);
- 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 aFlatIndex;
- NN_CHECK(aShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &aFlatIndex));
- uint32_t bFlatIndex;
- NN_CHECK(bShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &bFlatIndex));
- uint8_t aValue = requantize(aData[aFlatIndex], aShape, outputShape);
- uint8_t bValue = requantize(bData[bFlatIndex], bShape, outputShape);
- outputData[outputFlatIndex] =
- isMinimum ? std::min(aValue, bValue) : std::max(aValue, bValue);
- NN_CHECK(outputShapeIndexed.nextIndexInplace(&curIndex, &lastIndex));
- } while (!lastIndex);
- return true;
- }
- } // namespace
- bool prepare(const Shape& in1, const Shape& in2, Shape* out) {
- NN_CHECK(in1.type == in2.type);
- return calculateBroadcastedShape(in1, in2, out);
- }
- bool eval(const void* in1, const Shape& shape1, const void* in2, const Shape& shape2,
- bool isMinimum, void* output, const Shape& outputShape) {
- NNTRACE_COMP("maximum_minimum::eval");
- switch (shape1.type) {
- case OperandType::TENSOR_FLOAT16: {
- return evalGeneric(reinterpret_cast<const _Float16*>(in1), shape1,
- reinterpret_cast<const _Float16*>(in2), shape2, isMinimum,
- reinterpret_cast<_Float16*>(output), outputShape);
- }
- case OperandType::TENSOR_FLOAT32: {
- return evalGeneric(reinterpret_cast<const float*>(in1), shape1,
- reinterpret_cast<const float*>(in2), shape2, isMinimum,
- reinterpret_cast<float*>(output), outputShape);
- }
- case OperandType::TENSOR_INT32: {
- return evalGeneric(reinterpret_cast<const int32_t*>(in1), shape1,
- reinterpret_cast<const int32_t*>(in2), shape2, isMinimum,
- reinterpret_cast<int32_t*>(output), outputShape);
- }
- case OperandType::TENSOR_QUANT8_ASYMM: {
- return evalQuant8(reinterpret_cast<const uint8_t*>(in1), shape1,
- reinterpret_cast<const uint8_t*>(in2), shape2, isMinimum,
- reinterpret_cast<uint8_t*>(output), outputShape);
- }
- default: {
- LOG(ERROR) << "Unsupported data type: " << toString(shape1.type);
- return false;
- }
- }
- }
- } // namespace maximum_minimum
- } // namespace nn
- } // namespace android
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