Method__init__(self, dim, num_heads=1, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.)
deit/patchconvnet_models.py:40
Method__init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.,num_classes=1000)
deit/patchconvnet_models.py:78
Method__init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,
dr
deit/patchconvnet_models.py:116
Method__init__(self, dim,drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm,Attention_block = None,init_values=1e-4)
deit/patchconvnet_models.py:164
Method__init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dim=768, depth=12,
nu
deit/patchconvnet_models.py:214
Method__init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,
dr
deit/cait_models.py:59
Method__init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,
dr
deit/cait_models.py:132
Method__init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dim=768, depth=12,drop_rate=0.,
deit/resmlp_models.py:45
Method__init__(self, params, lr=0, weight_decay=0, momentum=0.9, eta=0.001,
weight_decay_filter=None, lars_
data_selection/utils.py:557
Method__init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.)
data_selection/vision_transformer.py:69
Method__init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0.,
dr
data_selection/vision_transformer.py:96
Method__init__(self, img_size=[224], patch_size=16, in_chans=3, num_classes=0, embed_dim=768, depth=12,
num
data_selection/vision_transformer.py:136
Method__init__(self, in_dim, out_dim, use_bn=False, norm_last_layer=True, nlayers=3, hidden_dim=2048, bottleneck_dim=256)
data_selection/vision_transformer.py:258
Method__init__(self, args, features, sample_num, temperature, init, distance, balance, slice, batch_size)
data_selection/sample_tools/VeCAF_ImageNet.py:44
Method__init__(self, features, args, sample_num, temperature, init, distance, balance=1.0)
data_selection/sample_tools/VeCAF_CIFAR_weight.py:19
Method__init__(self, features, args, sample_num, temperature, init, distance, balance=1.0)
data_selection/sample_tools/VeCAF_CIFAR_estimation_weight.py:20
Method__init__(self, features, sample_num, temperature, init, distance, balance=1.0)
data_selection/sample_tools/VeCAF_CIFAR_estimation.py:20
Functioncosine_scheduler(base_value, final_value, epochs, niter_per_ep, warmup_epochs=0, start_warmup_value=0)
data_selection/utils.py:187