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3b2d368 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .attention import ICLAttention
from .mlp import FMLP
class ICLBlock(nn.Module):
def __init__(self, config):
super().__init__()
self.config = config
self.attention = ICLAttention(config)
self.ln_v = nn.LayerNorm(config.embed_dim_f, elementwise_affine=True)
self.ln_qk = nn.LayerNorm(config.embed_dim_phi, elementwise_affine=True)
self.dropout_attention = nn.Dropout(0.1)
self.mlp = FMLP(config)
self.ln_mlp = nn.LayerNorm(config.embed_dim_f)
self.dropout_mlp = nn.Dropout(0.1)
def forward(self, phi, context_embeddings, f):
v = self.ln_v(context_embeddings)
q = k = self.ln_qk(phi)
f = f + self.dropout_attention(self.attention(q, k, v))
f = f + self.dropout_mlp(self.mlp(self.ln_mlp(f)))
return phi, context_embeddings, f |