torch 去张量维数
时间: 2023-09-22 17:13:18 浏览: 63
要去掉张量的维度,可以使用torch.squeeze()函数。torch.squeeze()函数可以去除维度为1的维度,如果不指定维度,则会去除所有维度为1的维度。以下是一个示例代码:
```
import torch
x = torch.randn(1, 2, 1)
print("原始张量:", x.shape) # 输出: 原始张量: torch.Size([1, 2, 1])
y = torch.squeeze(x)
print("去除维度后的张量:", y.shape) # 输出: 去除维度后的张量: torch.Size([2])
```
在这个示例中,原始张量`x`的形状是`torch.Size([1, 2, 1])`。通过调用`torch.squeeze()`函数,我们去除了维度为1的维度,最终得到的张量`y`的形状是`torch.Size()`。注意,如果原始张量中没有维度为1的维度,则不会对张量进行任何修改。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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