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