torch.nn.functional.gaussian_nll_loss
torch.nn.functional.gaussian_nll_loss(input, target, var, full=False, eps=1e-06, reduction='mean')
Gaussian negative log likelihood loss.
See "GaussianNLLLoss" for details.
Parameters:
      * input (Tensor) -- expectation of the Gaussian
        distribution.
  * **target** (*Tensor*) -- sample from the Gaussian
    distribution.

  * **var** (*Tensor*) -- 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** (*str**, **optional*) -- specifies the reduction
    to apply to the output: "'none'" | "'mean'" | "'sum'".
