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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 35 36 37 | import torch
import torch.nn as nn
import torch.nn.functional as F
class FMLP(nn.Module):
def __init__(self, config):
super().__init__()
self.fc_1 = nn.Linear(config.embed_dim_f, config.mlp_dim_f, bias=True)
self.fc_2 = nn.Linear(config.mlp_dim_f, config.embed_dim_f, bias=True)
self.activation = nn.GELU()
self.dropout = nn.Dropout(0.1)
def forward(self, x):
x = self.fc_1(x)
x = self.activation(x)
x = self.dropout(x)
x = self.fc_2(x)
return x
class PhiMLP(nn.Module):
def __init__(self, config):
super().__init__()
self.fc_1 = nn.Linear(config.embed_dim_phi, config.mlp_dim_phi, bias=True)
self.fc_2 = nn.Linear(config.mlp_dim_phi, config.embed_dim_phi, bias=True)
self.activation = nn.GELU()
self.dropout = nn.Dropout(0.1)
def forward(self, x):
x = self.fc_1(x)
x = self.activation(x)
x = self.dropout(x)
x = self.fc_2(x)
return x |