mirror of https://github.com/alibaba/MNN.git
58 lines
2.2 KiB
C++
58 lines
2.2 KiB
C++
//
|
|
// ShapeTensorConvert.cpp
|
|
// MNN
|
|
//
|
|
// Created by MNN on 2019/01/10.
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
|
//
|
|
|
|
#include "shape/SizeComputer.hpp"
|
|
#include "core/Macro.h"
|
|
#include "core/TensorUtils.hpp"
|
|
|
|
namespace MNN {
|
|
class TensorConvertSizeComputer : public SizeComputer {
|
|
public:
|
|
virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
|
|
const std::vector<Tensor*>& outputs) const override {
|
|
auto& ib = inputs[0]->buffer();
|
|
auto& ob = outputs[0]->buffer();
|
|
auto info = op->main_as_TensorConvertInfo();
|
|
auto sourceFmt = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
|
|
if (sourceFmt == MNN_DATA_FORMAT_NC4HW4) {
|
|
sourceFmt = MNN_DATA_FORMAT_NCHW;
|
|
}
|
|
auto destFmt = info->dest();
|
|
TensorUtils::getDescribe(outputs[0])->dimensionFormat = destFmt;
|
|
if (destFmt == MNN_DATA_FORMAT_NC4HW4) {
|
|
destFmt = MNN_DATA_FORMAT_NCHW;
|
|
}
|
|
ob.type = ib.type;
|
|
ob.dimensions = ib.dimensions;
|
|
|
|
if ((ib.dimensions == 2) || (sourceFmt == destFmt)) {
|
|
for (int i = 0; i < ib.dimensions; ++i) {
|
|
ob.dim[i].extent = ib.dim[i].extent;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
ob.dim[0].extent = ib.dim[0].extent;
|
|
if (sourceFmt == MNN_DATA_FORMAT_NCHW && destFmt == MNN_DATA_FORMAT_NHWC) {
|
|
ob.dim[ob.dimensions - 1].extent = ib.dim[1].extent;
|
|
for (int i = 1; i < ob.dimensions - 1; ++i) {
|
|
ob.dim[i].extent = ib.dim[i + 1].extent;
|
|
}
|
|
} else if (destFmt == MNN_DATA_FORMAT_NCHW && sourceFmt == MNN_DATA_FORMAT_NHWC) {
|
|
ob.dim[1].extent = ib.dim[ib.dimensions - 1].extent;
|
|
for (int i = 2; i < ob.dimensions; ++i) {
|
|
ob.dim[i].extent = ib.dim[i - 1].extent;
|
|
}
|
|
}
|
|
return true;
|
|
}
|
|
};
|
|
|
|
REGISTER_SHAPE(TensorConvertSizeComputer, OpType_ConvertTensor);
|
|
} // namespace MNN
|