torch.nn.functional.gaussian_nll_loss¶
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torch.nn.functional.gaussian_nll_loss(input, target, var, full=False, eps=1e-06, reduction='mean')[source]¶ Gaussian negative log likelihood loss.
See
GaussianNLLLossfor 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'.
