torch.minimum
时间: 2023-10-20 21:31:54 浏览: 114
torch.minimum函数是PyTorch中的一个张量操作函数,它用于比较两个张量元素-wise的最小值,并返回一个新的张量。语法如下:
```python
torch.minimum(input, other, out=None)
```
其中:
- `input`:输入张量。
- `other`:要与输入张量进行比较的另一个张量。
- `out`:可选参数,指定结果张量的输出位置。
这个函数会返回一个新的张量,其元素为`input`和`other`对应元素-wise的最小值。例如,如果`input`和`other`是相同形状的张量,那么返回的张量将具有相同的形状,并且每个元素都是两个输入张量对应位置元素的最小值。
下面是一个示例:
```python
import torch
a = torch.tensor([1, 4, 3])
b = torch.tensor([2, 2, 5])
result = torch.minimum(a, b)
print(result) # 输出: tensor([1, 2, 3])
```
在这个示例中,`result`张量包含了两个输入张量对应位置元素的最小值。
相关问题
torch.maximum
torch.maximum函数在PyTorch中不存在。根据提供的引用内容,我们可以看到torch.max()函数的用法和返回结果。torch.max()函数的用法是torch.max(input, dim, keepdim=False)。它返回两个输出,第一个输出是指定维度上的最大值,第二个输出是最大值在该维度上的索引。所以,我们无法提供关于torch.maximum函数的信息。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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[ .reference_list ]
torch.clamp
torch.clamp(input, min, max) function returns a new tensor with all elements of the input tensor bounded between the minimum and maximum values. If an element in the input tensor is less than the minimum value, it will be replaced by the minimum value. If an element in the input tensor is greater than the maximum value, it will be replaced by the maximum value. The function takes three arguments:
- input (Tensor): the input tensor
- min (Number): the minimum value to clamp to
- max (Number): the maximum value to clamp to
Example:
```
import torch
x = torch.tensor([-1, 0, 1, 2, 3, 4, 5, 6])
y = torch.clamp(x, min=1, max=5)
print(y) # Output: tensor([1, 1, 1, 2, 3, 4, 5, 5])
```
In the example above, the input tensor x is clamped between the minimum value of 1 and the maximum value of 5. Elements less than 1 are replaced with 1, and elements greater than 5 are replaced with 5. The resulting tensor y contains the clamped values.
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