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f71c233 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | import torch
from torch import nn
class Discriminator(nn.Module):
def __init__(self, input_dim=2, hidden_dim=256, hidden_layers=6):
super().__init__()
layers = [nn.Linear(input_dim, hidden_dim), nn.ReLU()]
for _ in range(hidden_layers - 1):
layers.append(nn.Linear(hidden_dim, hidden_dim))
layers.append(nn.ReLU())
layers.append(nn.Linear(hidden_dim, 1))
self.network = nn.Sequential(*layers)
def forward(self, x):
return self.network(x)
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