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# 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'`. `'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'`.

  Return type:

    Tensor

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