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import torch
import torch.nn as nn
class PerceptionAgent(nn.Module):
def __init__(self, config):
super(PerceptionAgent, self).__init__()
self.cnn_layers = nn.Sequential(
nn.Conv2d(3, 16, kernel_size=3, stride=1, padding=1),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2),
# Additional layers can be defined based on config
)
self.fc_layers = nn.Sequential(
nn.Linear(16 * 32 * 32, 256),
nn.ReLU(),
nn.Linear(256, config["perception_output_size"])
)
def forward(self, x):
x = self.cnn_layers(x)
x = x.view(x.size(0), -1)
x = self.fc_layers(x)
return x
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