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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 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .attention import PhiAttention
from .mlp import PhiMLP
class PhiBlock(nn.Module):
def __init__(self, config):
super().__init__()
self.config = config
self.attention = PhiAttention(config)
self.ln_attention = nn.LayerNorm(config.embed_dim_phi, elementwise_affine=True)
self.dropout_attention = nn.Dropout(0.1)
self.mlp = PhiMLP(config)
self.ln_mlp = nn.LayerNorm(config.embed_dim_phi, elementwise_affine=True)
self.dropout_mlp = nn.Dropout(0.1)
def forward(self, phi):
phi = phi + self.dropout_attention(self.attention(self.ln_attention(phi)))
phi = phi + self.dropout_mlp(self.mlp(self.ln_mlp(phi)))
return phi |