MNN/source/shape/ShapeTensorConvert.cpp

61 lines
2.2 KiB
C++

//
// ShapeTensorConvert.cpp
// MNN
//
// Created by MNN on 2019/01/10.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include "Macro.h"
#include "SizeComputer.hpp"
#include "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();
if (ib.dimensions <= 1) {
return false;
}
auto info = op->main_as_TensorConvertInfo();
auto sourceFmt = info->source();
auto destFmt = info->dest();
TensorUtils::getDescribe(outputs[0])->dimensionFormat = destFmt;
ob.type = ib.type;
ob.dimensions = ib.dimensions;
if ((ib.dimensions == 2) ||
(sourceFmt == MNN_DATA_FORMAT_NC4HW4 && destFmt == MNN_DATA_FORMAT_NCHW) ||
(sourceFmt == MNN_DATA_FORMAT_NCHW && destFmt == MNN_DATA_FORMAT_NC4HW4)) {
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_NC4HW4 && 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_NC4HW4 && 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;
}
} else {
return false;
}
return true;
}
};
REGISTER_SHAPE(TensorConvertSizeComputer, OpType_ConvertTensor);
} // namespace MNN