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92 lines
3.4 KiB
92 lines
3.4 KiB
4 months ago
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/*
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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 <vector>
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#include "Operations.h"
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#include "OperationsUtils.h"
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#include "Tracing.h"
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namespace android {
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namespace nn {
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template <typename Scalar>
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bool splitGeneric(const Scalar* inputData, const Shape& inputShape, int32_t axis,
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const std::vector<Scalar*>* outputDataPtrs,
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const std::vector<Shape>& outputShapes) {
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NN_CHECK(handleNegativeAxis(inputShape, &axis));
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int outerSize = 1;
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for (int i = 0; i < axis; ++i) {
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outerSize *= inputShape.dimensions[i];
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}
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int baseInnerSize = 1;
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int concatDimensions = getNumberOfDimensions(inputShape);
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for (int i = axis + 1; i < concatDimensions; ++i) {
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baseInnerSize *= inputShape.dimensions[i];
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}
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const Scalar* inputPtr = inputData;
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for (int k = 0; k < outerSize; k++) {
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for (int i = 0; i < outputDataPtrs->size(); ++i) {
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const int copySize = outputShapes[i].dimensions[axis] * baseInnerSize;
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memcpy(outputDataPtrs->at(i) + k * copySize, inputPtr, copySize * sizeof(Scalar));
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inputPtr += copySize;
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}
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}
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return true;
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}
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bool splitFloat16(const _Float16* inputData, const Shape& inputShape, int32_t axis,
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const std::vector<_Float16*>* outputDataPtrs,
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const std::vector<Shape>& outputShapes) {
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NNTRACE_COMP("splitFloat16");
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return splitGeneric<_Float16>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
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}
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bool splitFloat32(const float* inputData, const Shape& inputShape, int32_t axis,
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const std::vector<float*>* outputDataPtrs,
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const std::vector<Shape>& outputShapes) {
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NNTRACE_COMP("splitFloat32");
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return splitGeneric<float>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
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}
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bool splitQuant8(const uint8_t* inputData, const Shape& inputShape, int32_t axis,
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const std::vector<uint8_t*>* outputDataPtrs,
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const std::vector<Shape>& outputShapes) {
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NNTRACE_COMP("splitQuant8");
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return splitGeneric<uint8_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
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}
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bool splitQuant8Signed(const int8_t* inputData, const Shape& inputShape, int32_t axis,
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const std::vector<int8_t*>* outputDataPtrs,
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const std::vector<Shape>& outputShapes) {
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NNTRACE_COMP("splitQuant8Signed");
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return splitGeneric<int8_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
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}
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bool splitInt32(const int32_t* inputData, const Shape& inputShape, int32_t axis,
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const std::vector<int32_t*>* outputDataPtrs,
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const std::vector<Shape>& outputShapes) {
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NNTRACE_COMP("splitInt32");
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return splitGeneric<int32_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
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}
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} // namespace nn
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} // namespace android
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