import torch def AddDataToTorch(oriData, newData, addDim): if oriData is None: return newData else: if (len(oriData.shape) > addDim) and (len(newData.shape) > addDim): return torch.cat((oriData, newData), dim = addDim) else: return torch.cat((oriData, newData), dim = 1) mergeData = None tmpData = torch.randn(3) print(tmpData.shape) for i in range(1, 10): print('indx = ') print(i) mergeData = AddDataToTorch(mergeData, tmpData, 0) print(mergeData.shape) 这段代码如何修改能输出9行3列的torch

可以将代码修改为以下形式：

import torch 

def AddDataToTorch(oriData, newData, addDim): 
    if oriData is None: 
        return newData 
    else: 
        if (len(oriData.shape) > addDim) and (len(newData.shape) > addDim): 
            return torch.cat((oriData, newData), dim = addDim) 
        else: 
            return torch.cat((oriData, newData), dim = 1) 

mergeData = None 
tmpData = torch.randn(1, 3) # 修改这里，生成1行3列的随机数张量
print(tmpData.shape) 

for i in range(1, 10): 
    print('indx = ') 
    print(i) 
    mergeData = AddDataToTorch(mergeData, tmpData, 0) 

print(mergeData.shape) # 输出9行3列的张量

将 `tmpData` 的随机数张量修改为 1 行 3 列的张量，然后在循环中使用 `AddDataToTorch` 方法将其添加到 `mergeData` 中，最后输出结果张量 `mergeData` 的形状即可。