mirror of https://github.com/alibaba/MNN.git
50 lines
1.8 KiB
C++
50 lines
1.8 KiB
C++
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//
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// ShapeArgMax.cpp
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// MNN
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//
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// Created by MNN on 2019/01/10.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "Macro.h"
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#include "SizeComputer.hpp"
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namespace MNN {
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// –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
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// Size Computer
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// –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
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class ArgMaxComputer : public SizeComputer {
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virtual bool onComputeSize(const MNN::Op *op, const std::vector<Tensor *> &inputs,
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const std::vector<Tensor *> &outputs) const override {
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MNN_ASSERT(1 == inputs.size());
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MNN_ASSERT(1 == outputs.size());
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// copy dims
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auto &input = inputs[0]->buffer();
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auto &output = outputs[0]->buffer();
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output.dimensions = input.dimensions;
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memcpy(output.dim, input.dim, sizeof(halide_dimension_t) * input.dimensions);
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// key extent
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auto argMax = op->main_as_ArgMax();
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int keyExtent = argMax->topK();
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if (argMax->outMaxVal())
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keyExtent *= 2;
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if (input.dim[3].extent > 1) {
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output.dim[3].extent = keyExtent;
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} else if (input.dim[2].extent > 1) { // iw = ow = 1
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output.dim[2].extent = keyExtent;
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} else { // iw = ow = 1, ih = oh = 1;
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output.dim[1].extent = keyExtent;
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}
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return true;
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}
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};
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REGISTER_SHAPE(ArgMaxComputer, OpType_ArgMax);
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} // namespace MNN
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