↓ 8 callersMethod__init__(self, *, image_size, patch_size, num_classes, dim, depth, heads, mlp_dim, pool = 'cls', channels = 3, dim_hea
DeepfakeBench_DF40/training/networks/time_transformer.py:92
↓ 5 callersMethod__init__(self, c_in, c_out, reps, stride=1, start_with_relu=True, grow_first=True)
DeepfakeBench_DF40/training/networks/xception_ffd.py:20
↓ 5 callersFunction_iresnet(arch, block, layers, pretrained, progress, **kwargs)
DeepfakeBench_DF40/training/networks/iresnet.py:162
↓ 5 callersFunction_iresnet(arch, block, layers, pretrained, progress, **kwargs)
DeepfakeBench_DF40/training/networks/iresnet_iid.py:166
↓ 4 callersMethod_make_layer(self, block, planes, blocks, stride=1, dilate=False)
DeepfakeBench_DF40/training/networks/iresnet.py:121
↓ 4 callersMethod_make_layer(self, block, planes, blocks, stride=1, dilate=False)
DeepfakeBench_DF40/training/networks/iresnet_iid.py:123
↓ 3 callersMethod__init__(self, in_filters, out_filters, reps, strides=1, start_with_relu=True, grow_first=True)
DeepfakeBench_DF40/training/networks/xception_sladd.py:58
↓ 3 callersMethod__init__(
self,
in_channels,
out_channels,
kernel_size,
padding=0,
str
DeepfakeBench_DF40/training/detectors/utils/slowfast/models/unet_helper.py:7