(self, in_features, act_layer=nn.GELU, drop=0.)

(x,scale_factor=2)

(in_channels, features, name)

(elu, nchan)

(self, in_ch, out_ch, bilinear=True)

(self, in_class,block, layers=(3, 4, 23, 3))

(self, elu=True, in_channels=1, classes=1)

(self, in_input = 3,classes=2, P1=2, P2=3, P3=8, P4=6, aux=False)

(self, num_input_features, growth_rate, bn_size, drop_rate=0.2)

(self, block, planes, blocks, stride=1, dilation=1, multi_grid=1, bn_momentum=0.0003)

(self, block, planes, blocks, stride=1, dilation=1)

(self, feat_in, feat_out)

(self, feat_in, feat_out)

(self, feat_in, feat_out)

(self, in_channels, out_channels, dilation_rates=(12, 24, 3

(self, num_input_features, growth_rate, bn_size, drop_rate)

(x)

(self, x)

(self, n_classes)

(self, in_planes, out_planes, kernel_size, stride, padding=0)

(nchan, depth, elu)

(in_planes, out_planes, stride=1, dilation=1)

(self, pad, mode)

( self, in_channels, out_channels, dimensions=None,

( self, in_channels, out_channels, dimensions=None,

(self, score, target)

(self, x)

(self)

(self)

(self, features, size)

(self, input_tensor)

(image_paths, label_paths)

(in_class, dilation=[1,1,1,1], bn_momentum=0.0003, is_fpn=False)

(self, feat_in, feat_out)

(gt,pred)

()

()

(self)

(self)

(self, smooth=1, p=2, reduction='mean')

(self, images_dir, labels_dir)

(self, images_dir, labels_dir)

( self, in_channels, out_channels, dilation, dimen

( self, in_channels, out_channels, dilation, dimen

( self, in_channels, out_channels, num_layers, dil

(self, in_ch, out_ch)

(self, in_ch, out_ch)

(self, in_ch, out_ch)

(self, in_ch, out_ch)

(self, in_channels, classes)

(self,input_nbr,label_nbr)

(self, in_channels=512, out_channels=256, kernel_size=3,

(self, num_channels=1, num_class=1, is_deconv=False,

(self, in_planes, out_planes, stride=1)

(self, in_planes, out_planes)

(self, in_planes, out_planes, stride=1)

(self, in_planes, out_planes, stride=2)

(self, in_class = 1,n_class=1)

(self, inplanes, planes, stride=1, dilation=1, downsample=None, fist_dilation=1, multi_grid=1, bn_momentum=0.0

(self, in_class, block, layers, dilation=[1,1,1,1], bn_momentum=0.0003, is_fpn=False)

(self, in_class, class_num, bn_momentum=0.01)

(self, *args, **kwargs)

(self, inplanes, planes, stride=1, downsample=None, dilation=1)

(self, inplanes, planes, stride=1, downsample=None, dilation=1)

(self, features, out_features=1024, sizes=(1, 2, 3, 6))

(self, in_channels, out_channels)

(self, in_class=1,n_classes=1, sizes=(1, 2, 3, 6), psp_size=512, deep_features_size=1024, backend='resnet34',

(self, in_planes, out_planes)

(self, in_planes, out_planes, kernel_size)

(self, in_planes, out_planes, kernel_size=3)

(self, in_planes, out_planes, kernel_size=3)

(self, num_heads, embed_dim, dropout)

(self, d_model=786, d_ff=2048, dropout=0.1)

(self, input_dim, embed_dim, cube_size, patch_size, dropout)

(self, embed_dim, num_heads, dropout, cube_size, patch_size)

(self, input_dim, embed_dim, cube_size, patch_size, num_heads, num_layers, dropout, extract_layers)

(self, img_shape=(128, 128, 128), input_dim=4, output_dim=3, embed_dim=768, patch_size=16, num_heads=12, dropo

(self, in_channels, n_classes, base_n_filter=8)

(self, nchan, elu)

(self, in_channels, elu)

(self, inChans, nConvs, elu, dropout=False)

(self, inChans, outChans, nConvs, elu, dropout=False)

(self, in_channels, classes, elu)

(self, num_layers, num_input_features, bn_size, growth_rate, drop_rate)

(self, num_input_features, num_output_features)

(self, in_channels=1, classes=1, growth_rate=16, block_config=(4, 4, 4, 4), num_init_features=32, drop_rate=0.

(self, *args, **kwargs)

(self, num_layers, num_input_features, bn_size, growth_rate, drop_rate=0.2)

(self, num_input_features, num_output_features)

(self, input_features, out_features)

(self, in_channels=1, classes=1)

(self, in_channels =1,n_class = 1)

(self, x, y)

(input, target, weight=None, size_average=True)

(self, model_output, targets)

(self, predict, target)