in models/swin_transformer_3d.py [0:0]
def __init__(
self,
pretrained=None,
pretrained2d=True,
pretrained3d=None,
pretrained_model_key="base_model",
patch_size=(4, 4, 4),
in_chans=3,
embed_dim=96,
depths=[2, 2, 6, 2],
num_heads=[3, 6, 12, 24],
window_size=(2, 7, 7),
mlp_ratio=4.0,
qkv_bias=True,
qk_scale=None,
drop_rate=0.0,
attn_drop_rate=0.0,
drop_path_rate=0.2,
norm_layer=nn.LayerNorm,
patch_norm=False,
frozen_stages=-1,
depth_mode=None,
depth_patch_embed_separate_params=True,