↓ 1 callersMethod__init__(self,
block, layers, dropout=0, num_features=512, zero_init_residual=False,
DeepfakeBench_DF40/training/networks/iresnet_iid.py:70
↓ 1 callersMethod__init__(self, margin_type='cos', gamma=0., m=0.5, s=30, t=1.)
DeepfakeBench_DF40/training/loss/am_softmax.py:39
↓ 1 callersMethod_check_branches(self, num_branches, blocks, num_blocks,
num_inchannels, num_channels)
DeepfakeBench_DF40/training/networks/cls_hrnet.py:134
↓ 1 callersMethod_construct(
self,
dim_in,
dim_out,
stride,
dim_inner,
num_groups,
DeepfakeBench_DF40/training/detectors/utils/slowfast/models/resnet_helper.py:255
↓ 1 callersMethod_construct(
self,
dim_in,
dim_out,
temp_kernel_size,
stride,
trans_func,
DeepfakeBench_DF40/training/detectors/utils/slowfast/models/resnet_helper.py:396
↓ 1 callersMethod_construct(
self,
dim_in,
dim_out,
stride,
dim_inner,
num_groups,
DeepfakeBench_DF40/training/detectors/utils/slowfast/models/resnet_helper.py:569
↓ 1 callersMethod_make_one_branch(self, branch_index, block, num_blocks, num_channels,
stride=1)
DeepfakeBench_DF40/training/networks/cls_hrnet.py:154