mirror of https://github.com/alibaba/MNN.git
36 lines
1.4 KiB
C++
36 lines
1.4 KiB
C++
//
|
|
// CoreMLArgMax.cpp
|
|
// MNN
|
|
//
|
|
// Created by MNN on 2021/03/31.
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
|
//
|
|
|
|
#include "CoreMLArgMax.hpp"
|
|
|
|
namespace MNN {
|
|
|
|
CoreMLArgMax::CoreMLArgMax(MNN::Backend *b, const MNN::Op *op, const std::vector<Tensor *> &inputs, const std::vector<MNN::Tensor *> &outputs) : CoreMLCommonExecution(b, op) {
|
|
initLayer();
|
|
}
|
|
|
|
ErrorCode CoreMLArgMax::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
|
|
MNN_ASSERT(inputs.size() == 1 && outputs.size() == 1);
|
|
auto argmaxParam = mOp->main_as_ArgMax();
|
|
if (argmaxParam->softmaxThreshold() != 0 || argmaxParam->topK() > 1 || argmaxParam->outMaxVal() != 0) {
|
|
MNN_ERROR("[CoreML] ArgMax Don't support softmaxThreshold, topK, outMaxVal.");
|
|
}
|
|
|
|
mLayer_->layer_case = CORE_ML__SPECIFICATION__NEURAL_NETWORK_LAYER__LAYER_ARG_MAX;
|
|
mLayer_->argmax = mCoreMLBackend->create<CoreML__Specification__ArgMaxLayerParams>();
|
|
core_ml__specification__arg_max_layer_params__init(mLayer_->argmax);
|
|
mLayer_->argmax->axis = argmaxParam->axis();
|
|
mLayer_->argmax->removedim = true;
|
|
setLayerInputsAndOutputs(mLayer_, {mCoreMLBackend->getTensorName(inputs[0])}, {mCoreMLBackend->getTensorName(outputs[0])});
|
|
mCoreMLBackend->addLayer(mLayer_);
|
|
return NO_ERROR;
|
|
}
|
|
|
|
REGISTER_COREML_OP_CREATOR(CoreMLArgMax, OpType_ArgMax)
|
|
} // namespace MNN
|