Cross

class vformer.attention.cross.CrossAttention(query_dim, context_dim, num_heads=8, head_dim=64)

Bases: Module

Cross-Attention

Parameters

• query_dim (int) – Dimension of query array

• context_dim (int) – Dimension of context array

• num_heads (int) – Number of cross-attention heads

• head_dim (int) – Dimension of each head

forward(x, context, mask=None)

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

training: bool

class vformer.attention.cross.CrossAttentionWithClsToken(cls_dim, patch_dim, num_heads=8, head_dim=64)

Bases: Module

Cross-Attention with Cls Token

Parameters

• cls_dim (int) – Dimension of cls token embedding

• patch_dim (int) – Dimension of patch token embeddings cls token to be fused with

• num_heads (int) – Number of cross-attention heads

• head_dim (int) – Dimension of each head

forward(cls, patches)

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

training: bool