/* * 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. */ // Contains the implementation of the operations. #define LOG_TAG "Operations" #include "Operations.h" #include "CpuOperationUtils.h" #include "Tracing.h" namespace android { namespace nn { template <typename In, typename Out> static void argMinMaxImpl(const In* inputData, const Shape& inputShape, int32_t axis, bool isArgMin, Out* outputData, const Shape& outputShape) { const int outerSize = getNumberOfElements(inputShape, 0, axis); const int axisSize = getSizeOfDimension(inputShape, axis); const int innerSize = getNumberOfElements( inputShape, axis + 1, getNumberOfDimensions(inputShape)); for (int outer = 0; outer < outerSize; ++outer) { for (int inner = 0; inner < innerSize; ++inner) { auto minMaxValue = inputData[outer * axisSize * innerSize + inner]; int minMaxIndex = 0; for (int i = 1; i < axisSize; ++i) { const auto& value = inputData[(outer * axisSize + i) * innerSize + inner]; if ((isArgMin && value < minMaxValue) || (!isArgMin && value > minMaxValue)) { minMaxValue = value; minMaxIndex = i; } } outputData[outer * innerSize + inner] = minMaxIndex; } } } bool argMinMaxGeneric(const uint8_t* inputData, const Shape& inputShape, int32 axis, bool isArgMin, uint8_t* outputData, const Shape& outputShape) { NNTRACE_TRANS("argMinMaxGeneric"); NN_CHECK(handleNegativeAxis(inputShape, &axis)); #define NNAPI_IMPL_ARG_MIN_MAX(operandType, dataType) \ if (inputShape.type == operandType) { \ NNTRACE_COMP_SWITCH("argMinMaxImpl::" #dataType); \ argMinMaxImpl( \ reinterpret_cast<const dataType*>(inputData), \ inputShape, \ axis, \ isArgMin, \ reinterpret_cast<int32_t*>(outputData), \ outputShape); \ return true; \ } NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_FLOAT16, _Float16); NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_FLOAT32, float); NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_INT32, int32_t); NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_QUANT8_ASYMM, uint8_t); #undef NNAPI_IMPL_ARG_MIN_MAX LOG(ERROR) << "Unsupported data type"; return false; } } // namespace nn } // namespace android