import torch | |
import torch.nn as nn | |
import torch.nn.functional as F | |
class FeedForward(nn.Module): | |
def __init__(self, d_model, ff_dim=2048): | |
super(FeedForward, self).__init__() | |
self.linear1 = nn.Linear(d_model, ff_dim) | |
self.linear2 = nn.Linear(ff_dim, d_model) | |
def forward(self, x): | |
x = F.relu(self.linear1(x)) | |
x = self.linear2(x) | |
return x | |