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“`python import torch import torch.nn as nn import torch.nn.functional as F class NeuralRadianceFields(nn.Module): def __init__(self, input_dim, hidden_dim, output_dim): super(NeuralRadianceFields, self).__init__() self.fc1 = nn.Linear(input_dim, hidden_dim) self.fc2 = nn.Linear(hidden_dim, hidden_dim) self.fc3 = nn.Linear(hidden_dim, hidden_dim) self.fc4 = nn.Linear(hidden_dim, output_dim) def forward(self, x): x = F.relu(self.fc1(x)) x = F.relu(self.fc2(x)) x = F.relu(self.fc3(x)) x = self.fc4(x) return x def main(): input_dim = 3 hidden_dim = 256 output_dim = 1 model = NeuralRadianceFields(input_dim, hidden_dim, output_dim) x = torch.rand(1, input_dim) y = model(x) print(y) if __name__ == “__main__”: main() “`
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