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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 "Operations.h"
#include "OperationsUtils.h"
#include "Tracing.h"
namespace android {
namespace nn {
template <typename Scalar>
bool splitGeneric(const Scalar* inputData, const Shape& inputShape, int32_t axis,
const std::vector<Scalar*>* outputDataPtrs,
const std::vector<Shape>& outputShapes) {
axis = getDimensionIndex(inputShape, axis);
int outerSize = 1;
for (int i = 0; i < axis; ++i) {
outerSize *= inputShape.dimensions[i];
}
int baseInnerSize = 1;
int concatDimensions = getNumberOfDimensions(inputShape);
for (int i = axis + 1; i < concatDimensions; ++i) {
baseInnerSize *= inputShape.dimensions[i];
}
const Scalar* inputPtr = inputData;
for (int k = 0; k < outerSize; k++) {
for (int i = 0; i < outputDataPtrs->size(); ++i) {
const int copySize = outputShapes[i].dimensions[axis] * baseInnerSize;
memcpy(outputDataPtrs->at(i) + k * copySize, inputPtr, copySize * sizeof(Scalar));
inputPtr += copySize;
}
}
return true;
}
bool splitFloat32(const float* inputData, const Shape& inputShape, int32_t axis,
const std::vector<float*>* outputDataPtrs,
const std::vector<Shape>& outputShapes) {
NNTRACE_COMP("splitFloat32");
return splitGeneric<float>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
}
bool splitQuant8(const uint8_t* inputData, const Shape& inputShape, int32_t axis,
const std::vector<uint8_t*>* outputDataPtrs,
const std::vector<Shape>& outputShapes) {
NNTRACE_COMP("splitQuant8");
return splitGeneric<uint8_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
}
bool splitInt32(const int32_t* inputData, const Shape& inputShape, int32_t axis,
const std::vector<int32_t*>* outputDataPtrs,
const std::vector<Shape>& outputShapes) {
NNTRACE_COMP("splitInt32");
return splitGeneric<int32_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
}
} // namespace nn
} // namespace android
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