#!/usr/bin/env python # coding=utf-8 import torch class ffnMLP(nn.Module): def __init__(self, input_dim, hidden_dim, output_dim): super(ffnMLP, self).__init__() self.fc1 = nn.Linear(input_dim, hidden_dim,bias=False) self.relu = nn.ReLU() self.fc2 = nn.Linear(hidden_dim, output_dim,bias=False) def forward(self, x): x = self.fc1(x) x = self.relu(x) x = self.fc2(x) x = x.sigmoid() return x