# torch.nn.functional.gaussian_nll_loss¶

torch.nn.functional.gaussian_nll_loss(input, target, var, full=False, eps=1e-06, reduction='mean')[source]

Gaussian negative log likelihood loss.

See GaussianNLLLoss for details.

Parameters
• input – expectation of the Gaussian distribution.

• target – sample from the Gaussian distribution.

• var – tensor of positive variance(s), one for each of the expectations in the input (heteroscedastic), or a single one (homoscedastic).

• full (bool, optional) – include the constant term in the loss calculation. Default: False.

• eps (float, optional) – value added to var, for stability. Default: 1e-6.

• reduction (string, optional) – specifies the reduction to apply to the output: 'none' | 'mean' | 'sum'. 'none': no reduction will be applied, 'mean': the output is the average of all batch member losses, 'sum': the output is the sum of all batch member losses. Default: 'mean'.