/* * 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) { NN_CHECK(handleNegativeAxis(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 splitFloat16(const _Float16* inputData, const Shape& inputShape, int32_t axis, const std::vector<_Float16*>* outputDataPtrs, const std::vector<Shape>& outputShapes) { NNTRACE_COMP("splitFloat16"); return splitGeneric<_Float16>(inputData, inputShape, axis, outputDataPtrs, outputShapes); } 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