MNN/source/shape/ShapeTensorConvert.cpp

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2019-04-17 10:49:11 +08:00
//
// 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 != 4 && ib.dimensions != 2) {
return false;
}
MNN_ASSERT(ib.dimensions == 4);
ob.dimensions = 4;
auto info = op->main_as_TensorConvertInfo();
auto sourceFmt = info->source();
auto destFmt = info->dest();
TensorUtils::getDescribe(outputs[0])->dimensionFormat = destFmt;
ob.type = ib.type;
if (sourceFmt == MNN_DATA_FORMAT_NC4HW4 && destFmt == MNN_DATA_FORMAT_NHWC) {
ob.dim[0].extent = ib.dim[0].extent;
ob.dim[1].extent = ib.dim[2].extent;
ob.dim[1].flags = 0;
ob.dim[2].extent = ib.dim[3].extent;
ob.dim[3].extent = ib.dim[1].extent;
} else if (destFmt == MNN_DATA_FORMAT_NC4HW4 && sourceFmt == MNN_DATA_FORMAT_NHWC) {
ob.dim[0].extent = ib.dim[0].extent;
ob.dim[1].extent = ib.dim[3].extent;
ob.dim[1].flags = Tensor::REORDER_4;
ob.dim[2].extent = ib.dim[1].extent;
ob.dim[3].extent = ib.dim[2].extent;
} else {
MNN_ASSERT(false);
}
return true;
}
};
REGISTER_SHAPE(TensorConvertSizeComputer, OpType_ConvertTensor);
} // namespace MNN