xlnstorch.nn.init.xavier_normal_#
- xlnstorch.nn.init.xavier_normal_(tensor, gain=1.0, generator=None)#
Fills the input tensor with values according to the Xavier normal initialization.
- Parameters:
tensor (LNSTensor) – The tensor to fill with values.
gain (float, optional) – An optional scaling factor (default is 1.0).
generator (torch.Generator, optional) – A random number generator to use for reproducibility (default is None).
- Returns:
The input tensor filled with values from the Xavier normal distribution.
- Return type: