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1#include <nexus_model/nexus_model.hpp>2#include <iostream>3#include <memory>4using namespace nexus_model;56int main() {7  init::manual_seed(42);8  Sequential model({9    std::make_shared<Linear>(784, 256),10    std::make_shared<GELU>(),11    std::make_shared<Linear>(256, 10)12  });1314  auto x = Tensor::full({32, 784}, 0.1f);15  model.zero_grad();16  auto y = model.forward(x);17  // Example objective: L = sum(y). dL/dy = 1.18  auto dy = Tensor::full({32, 10}, 1.0f);19  auto dx = model.backward(dy);20  std::cout << y.size(0) << " x " << y.size(1) << "\n";21  return dx.same_shape(x) ? 0 : 1;22}