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SigLIP 2 #2440

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Merged
merged 3 commits into from
Feb 21, 2025
Merged

SigLIP 2 #2440

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dc5c798
Prep for siglip2 release
rwightman Feb 20, 2025
25de6b4
Remove duplicate so400m/16 @ 256 model def
rwightman Feb 21, 2025
228e080
siglip2 weights on hub, fix forward_intermediates when no prefix toke…
rwightman Feb 21, 2025
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12 changes: 9 additions & 3 deletions timm/layers/attention_pool.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,7 @@ def __init__(
pos_embed: str = '',
pool_type: str = 'token',
norm_layer: Optional[nn.Module] = None,
act_layer: Optional[nn.Module] = nn.GELU,
drop: float = 0.0,
):
super().__init__()
Expand All @@ -54,13 +55,18 @@ def __init__(

self.q = nn.Linear(embed_dim, embed_dim, bias=qkv_bias)
self.kv = nn.Linear(embed_dim, embed_dim * 2, bias=qkv_bias)
self.q_norm = norm_layer(self.head_dim) if qk_norm else nn.Identity()
self.k_norm = norm_layer(self.head_dim) if qk_norm else nn.Identity()
if qk_norm:
qk_norm_layer = norm_layer or nn.LayerNorm
self.q_norm = qk_norm_layer(self.head_dim)
self.k_norm = qk_norm_layer(self.head_dim)
else:
self.q_norm = nn.Identity()
self.k_norm = nn.Identity()
self.proj = nn.Linear(embed_dim, embed_dim)
self.proj_drop = nn.Dropout(drop)

self.norm = norm_layer(out_features) if norm_layer is not None else nn.Identity()
self.mlp = Mlp(embed_dim, int(embed_dim * mlp_ratio))
self.mlp = Mlp(embed_dim, int(embed_dim * mlp_ratio), act_layer=act_layer)

self.init_weights()

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