Reduction in this context means how to reduce a tensor with multiple elements to a scalar or generally how to reduce a dimension with a size > 1 to a size of 1.
Loss functions accept the reduction argument, which specifies, if the mean, sum etc. should be used to yield the scalar loss value given a batch of model outputs and targets.