torch.nn.functional.smooth_l1_loss

torch.nn.functional.smooth_l1_loss(input, target, size_average=None, reduce=None, reduction='mean', beta=1.0)

Compute the Smooth L1 loss.

Function uses a squared term if the absolute element-wise error falls below beta and an L1 term otherwise.

See SmoothL1Loss for details.

Parameters

• input (Tensor) – Predicted values.

• target (Tensor) – Ground truth values.

• size_average (bool, optional) – Deprecated (see reduction).

• reduce (bool, optional) – Deprecated (see reduction).

• reduction (str, optional) – Specifies the reduction to apply to the output: ‘none’ | ‘mean’ | ‘sum’. ‘mean’: the mean of the output is taken. ‘sum’: the output will be summed. ‘none’: no reduction will be applied. Default: ‘mean’.

• beta (float, optional) – Specifies the threshold at which to change from the squared term to the L1 term in the loss calculation. This value must be positive. Default: 1.0.

Returns

L1 loss (optionally weighted).

Return type

Tensor