mirror of https://github.com/alibaba/MNN.git
44 lines
1.4 KiB
C++
44 lines
1.4 KiB
C++
//
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// ShapeCrop.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 "core/Macro.h"
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#include "core/SizeComputer.hpp"
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namespace MNN {
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class CropSizeComputer : 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(2 == inputs.size());
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MNN_ASSERT(1 == outputs.size());
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MNN_ASSERT(4 == inputs[0]->buffer().dimensions && 4 == inputs[1]->buffer().dimensions);
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MNN_ASSERT(inputs[0]->buffer().dimensions == inputs[1]->buffer().dimensions);
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auto& ibInput0 = inputs[0]->buffer();
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auto& ibInput1 = inputs[1]->buffer();
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auto& ob = outputs[0]->buffer();
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ob.dimensions = ibInput1.dimensions;
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::memcpy(ob.dim, ibInput1.dim, ibInput1.dimensions * sizeof(halide_dimension_t));
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auto cropParam = op->main_as_Crop();
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for (int i = 0; i < ibInput1.dimensions; ++i) {
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if (i < cropParam->axis()) {
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ob.dim[i].extent = ibInput0.dim[i].extent;
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}
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}
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ob.type = ibInput0.type;
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TensorUtils::getDescribe(outputs[0])->dimensionFormat = MNN_DATA_FORMAT_NC4HW4;
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return true;
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}
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};
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REGISTER_SHAPE(CropSizeComputer, OpType_Crop);
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} // namespace MNN
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