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

Performs all_gather operation on the provided tensors. *** Warning ***: torch.distributed.all_gather has no gradient.

Args: C: NUM_CLASSES A: feat_dim B: batch_size H: feat_high W: feat_width N: number of pixels except IGNORE_LABEL Mea

Array of IoU for each (non ignored) class

IoU for foreground class binary: 1 foreground, 0 background

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

Constructs a ResNet-101 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True

Constructs a ResNet-152 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True

Constructs a ResNet-18 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True,

Constructs a ResNet-34 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True,

Constructs a ResNet-50 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True,

Constructs a ResNeXt-101 32x8d model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool):

Constructs a ResNeXt-50 32x4d model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): I

VGG 11-layer model (configuration "A") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool):

VGG 11-layer model (configuration "A") with batch normalization Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

VGG 13-layer model (configuration "B") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool):

VGG 13-layer model (configuration "B") with batch normalization Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

VGG 16-layer model (configuration "D") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool):

VGG 16-layer model (configuration "D") with batch normalization Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

VGG 19-layer model (configuration "E") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool):

VGG 19-layer model (configuration 'E') with batch normalization Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

Cross entropy loss