emmi.modules.attention.irregular_nat_attention¶
Classes¶
Implementation the attention implemenation of Neighbourhood Attention Transformer (NAT) for irregular grinds . |
Module Contents¶
- class emmi.modules.attention.irregular_nat_attention.IrregularNatAttention(config)¶
Bases:
torch.nn.ModuleImplementation the attention implemenation of Neighbourhood Attention Transformer (NAT) for irregular grinds . - Source: https://arxiv.org/abs/2204.07143
Initialize the IrregularNatAttention module.
- Parameters:
config (emmi.schemas.modules.attention.AttentionConfig) – configuration of the attention module.
- radius = None¶
- max_degree = None¶
- num_heads = None¶
- head_dim¶
- relative_position_bias_mlp¶
- qkv¶
- proj¶
- reset_parameters()¶
Restet the parameters of the PerceiverAttention module with a specific initialization method.
- Raises:
NotImplementedError – when a specific initialization method is not implemented. Either use “torch”, or “truncnormal002”.
- Return type:
None
- forward(x, pos)¶
Forward function of the IrregularNatAttention module.
- Parameters:
x (torch.Tensor) – input tensor, shape (batch size, number of points/tokens, hidden_dim).
pos (torch.Tensor) – coordinates points for radius nearest neighbors.
- Raises:
NotImplementedError – Only supports 3D input.
- Returns:
Returns the output of the attention module.
- Return type:
torch.Tensor