import torch.nn as nn

class PyTorchMLP(nn.Module):
    def __init__(self):
        super().__init__()
        self.linear1 = nn.Linear(784, 128)
        self.linear2 = nn.Linear(128, 10)
    
    def forward(self, x):
        x = torch.relu(self.linear1(x))
        return self.linear2(x)

model = PyTorchMLP()
output = model(input_data)  # Parameters are hidden inside

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