lgatr.nets.lgatr_slim.LGATrSlim

class lgatr.nets.lgatr_slim.LGATrSlim(in_v_channels, out_v_channels, hidden_v_channels, in_s_channels, out_s_channels, hidden_s_channels, num_blocks, num_heads, nonlinearity='gelu', mlp_ratio=2, attn_ratio=1, num_layers_mlp=2, dropout_prob=None, checkpoint_blocks=False, compile=False)

Bases: Module

L-GATr-slim network.

forward(vectors, scalars, **attn_kwargs)

Parameters:

• vectors (torch.Tensor) – A tensor of shape (…, v_channels, 4) representing Lorentz vectors.

• scalars (torch.Tensor) – A tensor of shape (…, s_channels) representing scalar features.

• **attn_kwargs (dict) – Additional keyword arguments for the attention function.

Returns:

Tensors of the same shape as input representing the normalized vectors and scalars.

Return type:

torch.Tensor, torch.Tensor