PyTorch torch.nanmedian Function
PyTorch torch Reference Manual
torch.nanmedianIt is a function in PyTorch used to return the median of non-NaN values in a tensor. Unlike median, it ignores all NaN values.
Function Definition
torch.nanmedian(input, dim, keepdim=False)
Usage Example
Example
import torch
x = torch.tensor([1.0, float('nan'), 3.0, 2.0, 5.0])
# Return the median of non-NaN values
print("Non-NaN median:", torch.nanmedian(x))
# Non-NaN median along dim=0
y = torch.tensor([[1.0, float('nan'), 2.0], [4.0, 1.0, 3.0]])
print("dim=0 non-NaN median:", torch.nanmedian(y, dim=0))
x = torch.tensor([1.0, float('nan'), 3.0, 2.0, 5.0])
# Return the median of non-NaN values
print("Non-NaN median:", torch.nanmedian(x))
# Non-NaN median along dim=0
y = torch.tensor([[1.0, float('nan'), 2.0], [4.0, 1.0, 3.0]])
print("dim=0 non-NaN median:", torch.nanmedian(y, dim=0))
The output result is:
非NaN中位数: tensor(2.) dim=0 非NaN中位数: torch.return_types.nanmedian(values=tensor([1., 1., 2.]), indices=tensor([0, 1, 0]))
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