怎样将list中的tuple传入cuda
时间: 2024-02-11 16:09:59 浏览: 187
要将list中的tuple传入cuda,需要先将其转换为torch tensor。可以使用以下代码将list中的tuple转换为tensor并放入cuda中:
```python
import torch
# 创建list of tuple
my_list = [(1, 2), (3, 4), (5, 6)]
# 将list of tuple转换为tensor
my_tensor = torch.tensor(my_list)
# 将tensor放入cuda
my_tensor = my_tensor.cuda()
```
在这个例子中,`my_list` 是一个包含三个元素的list,每个元素都是一个二元组。将`my_list`转换为tensor时,每个二元组会被转换为一个长度为2的一维tensor。最终得到的`my_tensor`是一个3x2的二维tensor。
如果tuple中含有多个元素,则需要使用`torch.tensor()`中的`dim`参数指定每个维度的大小。例如:
```python
import torch
# 创建list of tuple
my_list = [((1, 2), (3, 4)), ((5, 6), (7, 8)), ((9, 10), (11, 12))]
# 将list of tuple转换为tensor
my_tensor = torch.tensor(my_list, dim=2)
# 将tensor放入cuda
my_tensor = my_tensor.cuda()
```
在这个例子中,`my_list` 是一个包含三个元素的list,每个元素都是一个二元组,每个二元组都包含两个二元组。将`my_list`转换为tensor时,每个元组会被转换为一个长度为2的一维tensor,每个二元组会被转换为一个长度为2的一维tensor。最终得到的`my_tensor`是一个3x2x2的三维tensor。
阅读全文
相关推荐

















