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      1 /*
      2  * Copyright (C) 2018 The Android Open Source Project
      3  *
      4  * Licensed under the Apache License, Version 2.0 (the "License");
      5  * you may not use this file except in compliance with the License.
      6  * You may obtain a copy of the License at
      7  *
      8  *      http://www.apache.org/licenses/LICENSE-2.0
      9  *
     10  * Unless required by applicable law or agreed to in writing, software
     11  * distributed under the License is distributed on an "AS IS" BASIS,
     12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     13  * See the License for the specific language governing permissions and
     14  * limitations under the License.
     15  */
     16 
     17 // Contains the implementation of the operations.
     18 
     19 #define LOG_TAG "Operations"
     20 
     21 #include "Operations.h"
     22 #include "CpuOperationUtils.h"
     23 
     24 #include "Tracing.h"
     25 
     26 namespace android {
     27 namespace nn {
     28 
     29 template <typename In, typename Out>
     30 static void argMinMaxImpl(const In* inputData, const Shape& inputShape,
     31                           int32_t axis, bool isArgMin,
     32                           Out* outputData, const Shape& outputShape) {
     33     const int outerSize = getNumberOfElements(inputShape, 0, axis);
     34     const int axisSize = getSizeOfDimension(inputShape, axis);
     35     const int innerSize = getNumberOfElements(
     36             inputShape, axis + 1, getNumberOfDimensions(inputShape));
     37     for (int outer = 0; outer < outerSize; ++outer) {
     38         for (int inner = 0; inner < innerSize; ++inner) {
     39             auto minMaxValue = inputData[outer * axisSize * innerSize + inner];
     40             int minMaxIndex = 0;
     41             for (int i = 1; i < axisSize; ++i) {
     42                 const auto& value =
     43                         inputData[(outer * axisSize + i) * innerSize + inner];
     44                 if ((isArgMin && value < minMaxValue) ||
     45                     (!isArgMin && value > minMaxValue)) {
     46                     minMaxValue = value;
     47                     minMaxIndex = i;
     48                 }
     49             }
     50             outputData[outer * innerSize + inner] = minMaxIndex;
     51         }
     52     }
     53 }
     54 
     55 bool argMinMaxGeneric(const uint8_t* inputData, const Shape& inputShape,
     56                       int32 axis, bool isArgMin,
     57                       uint8_t* outputData, const Shape& outputShape) {
     58     NNTRACE_TRANS("argMinMaxGeneric");
     59     NN_CHECK(handleNegativeAxis(inputShape, &axis));
     60 
     61 #define NNAPI_IMPL_ARG_MIN_MAX(operandType, dataType)                          \
     62     if (inputShape.type == operandType) {                                      \
     63         NNTRACE_COMP_SWITCH("argMinMaxImpl::" #dataType);                      \
     64         argMinMaxImpl(                                                         \
     65             reinterpret_cast<const dataType*>(inputData),                      \
     66             inputShape,                                                        \
     67             axis,                                                              \
     68             isArgMin,                                                          \
     69             reinterpret_cast<int32_t*>(outputData),                            \
     70             outputShape);                                                      \
     71         return true;                                                           \
     72     }
     73 
     74     NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_FLOAT16, _Float16);
     75     NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_FLOAT32, float);
     76     NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_INT32, int32_t);
     77     NNAPI_IMPL_ARG_MIN_MAX(OperandType::TENSOR_QUANT8_ASYMM, uint8_t);
     78 #undef NNAPI_IMPL_ARG_MIN_MAX
     79 
     80     LOG(ERROR) << "Unsupported data type";
     81     return false;
     82 }
     83 
     84 } // namespace nn
     85 } // namespace android
     86