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77 lines
3.2 KiB
77 lines
3.2 KiB
/*
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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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// Contains the implementation of the operations.
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#define LOG_TAG "Operations"
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#include "CpuOperationUtils.h"
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#include "Operations.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 In, typename Out>
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static void argMinMaxImpl(const In* inputData, const Shape& inputShape, int32_t axis, bool isArgMin,
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Out* outputData, const Shape& outputShape) {
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const int outerSize = getNumberOfElements(inputShape, 0, axis);
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const int axisSize = getSizeOfDimension(inputShape, axis);
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const int innerSize =
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getNumberOfElements(inputShape, axis + 1, getNumberOfDimensions(inputShape));
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for (int outer = 0; outer < outerSize; ++outer) {
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for (int inner = 0; inner < innerSize; ++inner) {
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auto minMaxValue = inputData[outer * axisSize * innerSize + inner];
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int minMaxIndex = 0;
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for (int i = 1; i < axisSize; ++i) {
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const auto& value = inputData[(outer * axisSize + i) * innerSize + inner];
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if ((isArgMin && value < minMaxValue) || (!isArgMin && value > minMaxValue)) {
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minMaxValue = value;
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minMaxIndex = i;
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}
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}
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outputData[outer * innerSize + inner] = minMaxIndex;
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}
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}
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}
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bool argMinMaxGeneric(const uint8_t* inputData, const Shape& inputShape, int32 axis, bool isArgMin,
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uint8_t* outputData, const Shape& outputShape) {
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NNTRACE_TRANS("argMinMaxGeneric");
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NN_CHECK(handleNegativeAxis(inputShape, &axis));
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#define NNAPI_IMPL_ARG_MIN_MAX(operandType, dataType) \
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if (inputShape.type == operandType) { \
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NNTRACE_COMP_SWITCH("argMinMaxImpl::" #dataType); \
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argMinMaxImpl(reinterpret_cast<const dataType*>(inputData), inputShape, axis, isArgMin, \
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reinterpret_cast<int32_t*>(outputData), outputShape); \
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return true; \
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}
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NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_FLOAT16, _Float16);
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NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_FLOAT32, float);
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NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_INT32, int32_t);
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NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_QUANT8_ASYMM, uint8_t);
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NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_QUANT8_ASYMM_SIGNED, int8_t);
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#undef NNAPI_IMPL_ARG_MIN_MAX
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LOG(ERROR) << "Unsupported data type";
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return false;
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}
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} // namespace nn
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} // namespace android
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