mmagic.models.losses.gradient_loss

Module Contents

Classes

GradientLoss

Gradient loss.

Attributes

_reduction_modes

mmagic.models.losses.gradient_loss._reduction_modes = ['none', 'mean', 'sum']

class mmagic.models.losses.gradient_loss.GradientLoss(loss_weight: float = 1.0, reduction: str = 'mean')

Bases: torch.nn.Module

Gradient loss.

Parameters

• loss_weight (float) – Loss weight for L1 loss. Default: 1.0.

• reduction (str) – Specifies the reduction to apply to the output. Supported choices are ‘none’ | ‘mean’ | ‘sum’. Default: ‘mean’.

forward(pred: torch.Tensor, target: torch.Tensor, weight: Optional[torch.Tensor] = None) → torch.Tensor

Parameters

• pred (Tensor) – of shape (N, C, H, W). Predicted tensor.

• target (Tensor) – of shape (N, C, H, W). Ground truth tensor.

• weight (Tensor, optional) – of shape (N, C, H, W). Element-wise weights. Default: None.