MNN/source/shape/ShapeResize.cpp

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//
// ShapeResize.cpp
// MNN
//
// Created by MNN on 2019/01/10.
// Copyright © 2018, Alibaba Group Holding Limited
//
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#include "shape/SizeComputer.hpp"
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#include "core/Macro.h"
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namespace MNN {
// Size Computer
class ResizeComputer : public SizeComputer {
virtual bool onComputeSize(const MNN::Op *op, const std::vector<Tensor *> &inputs,
const std::vector<Tensor *> &outputs) const override {
MNN_ASSERT(1 == inputs.size());
MNN_ASSERT(1 == outputs.size());
// copy dims
auto resize = op->main_as_Resize();
auto &input = inputs[0]->buffer();
auto &output = outputs[0]->buffer();
TensorUtils::copyShape(inputs[0], outputs[0], true);
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// set dims
output.dim[3].extent = input.dim[3].extent * resize->xScale();
output.dim[2].extent = input.dim[2].extent * resize->yScale();
output.type = inputs[0]->getType();
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return true;
}
virtual float onComputeFlops(const MNN::Op *op, const std::vector<Tensor *> &inputs,
const std::vector<Tensor *> &outputs) const override {
return (float)outputs[0]->elementSize() / 1024.0f / 1024.0f * 4;
}
};
class ImageProcessComputer : public SizeComputer {
virtual bool onComputeSize(const MNN::Op *op, const std::vector<Tensor *> &inputs,
const std::vector<Tensor *> &outputs) const override {
MNN_ASSERT(1 == inputs.size());
MNN_ASSERT(1 == outputs.size());
// copy dims
auto &input = inputs[0]->buffer();
auto &output = outputs[0]->buffer();
TensorUtils::copyShape(inputs[0], outputs[0], true);
// set dims
auto process = op->main_as_ImageProcessParam();
int c = process->shape()->Get(1);
int h = process->shape()->Get(2);
int w = process->shape()->Get(3);
if (MNN_DATA_FORMAT_NHWC == TensorUtils::getDescribe(inputs[0])->dimensionFormat) {
output.dim[1].extent = h;
output.dim[2].extent = w;
output.dim[3].extent = c;
} else {
output.dim[1].extent = c;
output.dim[2].extent = h;
output.dim[3].extent = w;
}
// set dtype
outputs[0]->setType(process->outputType());
return true;
}
virtual float onComputeFlops(const MNN::Op *op, const std::vector<Tensor *> &inputs,
const std::vector<Tensor *> &outputs) const override {
return (float)outputs[0]->elementSize() / 1024.0f / 1024.0f * 4;
}
};
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REGISTER_SHAPE(ResizeComputer, OpType_Resize);
REGISTER_SHAPE(ImageProcessComputer, OpType_ImageProcess);
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} // namespace MNN