nanmean¶
- nanmean(data: Tensor, dim: tuple[int, ...] | int | None = None, keepdim: bool = False, **kwargs) Tensor[source]¶
Returns a tensor with dimensions reduced by taking the arithmetic mean, excluding NaN values.
This is a wrapper around
torch.nanmean().- Parameters:
data (torch.Tensor) – tensor to which operations should be applied.
dim (tuple[int, ...] | int | None, optional) – dimension(s) along which the reduction should be applied, all dimensions when
None. Defaults toNone.keepdim (bool, optional) – if the dimensions should be retained in the output. Defaults to
False.
- Returns:
dimensionally reduced tensor.
- Return type: