torch.nn.functional.mse_loss# torch.nn.functional.mse_loss(input, target, size_average=None, reduce=None, reduction='mean', weight=None)[source]# Compute the element-wise mean squared error, with optional weighting. See MSELoss 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’. weight (Tensor, optional) – Weights for each sample. Default: None. Returns Mean Squared Error loss (optionally weighted). Return type Tensor
