YouTip## Usage Examples ## Example ```python import torch x = torch.tensor([[1,3,2],[4,1,3]]) # Returns the minimum and maximum of all elements mm = torch.aminmax(x) print("Minimum:", mm) print("Maximum:", mm) # Along dim=0 mm0 = torch.aminmax(x, dim=0) print("dim=0 Minimum:", mm0) print("dim=0 Maximum:", mm0) # Along dim=1 mm1 = torch.aminmax(x, dim=1) print("dim=1 Minimum:", mm1) print("dim=1 Maximum:", mm1) Output: Minimum: tensor(1) Maximum: tensor(4) dim=0 Minimum: tensor([1, 1, 2]) dim=0 Maximum: tensor([4, 3, 3]) dim=1 Minimum: tensor([1, 1]) dim=1 Maximum: tensor([3, 4])
Pytorch Torch Aminmax
# PyTorch torch.aminmax Function
![PyTorch torch Reference]()
PyTorch torch Reference
`torch.aminmax` is a PyTorch function used to return the minimum and maximum values of a tensor.
### Function Definition
```python
torch.aminmax(input, dim=None, keepdim=False)
## Usage Examples ## Example ```python import torch x = torch.tensor([[1,3,2],[4,1,3]]) # Returns the minimum and maximum of all elements mm = torch.aminmax(x) print("Minimum:", mm) print("Maximum:", mm) # Along dim=0 mm0 = torch.aminmax(x, dim=0) print("dim=0 Minimum:", mm0) print("dim=0 Maximum:", mm0) # Along dim=1 mm1 = torch.aminmax(x, dim=1) print("dim=1 Minimum:", mm1) print("dim=1 Maximum:", mm1) Output: Minimum: tensor(1) Maximum: tensor(4) dim=0 Minimum: tensor([1, 1, 2]) dim=0 Maximum: tensor([4, 3, 3]) dim=1 Minimum: tensor([1, 1]) dim=1 Maximum: tensor([3, 4])
![PyTorch torch Reference]()
PyTorch torch Reference
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## Usage Examples ## Example ```python import torch x = torch.tensor([[1,3,2],[4,1,3]]) # Returns the minimum and maximum of all elements mm = torch.aminmax(x) print("Minimum:", mm) print("Maximum:", mm) # Along dim=0 mm0 = torch.aminmax(x, dim=0) print("dim=0 Minimum:", mm0) print("dim=0 Maximum:", mm0) # Along dim=1 mm1 = torch.aminmax(x, dim=1) print("dim=1 Minimum:", mm1) print("dim=1 Maximum:", mm1) Output: Minimum: tensor(1) Maximum: tensor(4) dim=0 Minimum: tensor([1, 1, 2]) dim=0 Maximum: tensor([4, 3, 3]) dim=1 Minimum: tensor([1, 1]) dim=1 Maximum: tensor([3, 4])