Parameters ---------- block (nn.Module): Bottleneck class. - For SENet154: SEBottleneck - For SE-ResN

Stack n bottleneck modules where n is inferred from the depth of the network. Args: block: block type used to construct ResNext

Build and return data loader.

nanmean compatible with generators.

Flattens predictions in the batch (binary case) Remove labels equal to 'ignore'

Flattens predictions in the batch

Computes gradient of the Lovasz extension w.r.t sorted errors See Alg. 1 in paper

Binary Lovasz hinge loss logits: [P] Variable, logits at each prediction (between -\infty and +\infty) labels: [P] Tensor, binary gro

Multi-class Lovasz-Softmax loss probas: [P, C] Variable, class probabilities at each prediction (between 0 and 1) labels: [P] Tensor,

Binary Lovasz hinge loss logits: [B, H, W] Variable, logits at each pixel (between -\infty and +\infty) labels: [B, H, W] Tensor, bin

Construct ResNeXt-101.