1074     auto y_exp = torch::addmm(model->bias, x, model->weight.t());  in TEST_F()  local
1091     auto y_exp = torch::mm(x, model->weight.t());  in TEST_F()  local
1102     const auto y_exp = torch::tensor(  in TEST_F()  local
1129   auto y_exp = torch::layer_norm(x, {2, 2}, model->weight, model->bias, 2e-5);  in TEST_F()  local
1147   auto y_exp = torch::group_norm(x, 2, model->weight, model->bias, 2e-5);  in TEST_F()  local
2434       auto y_exp = torch::max(torch::zeros_like(x_orig), x_orig) +  in TEST_F()  local
2487     auto y_exp = (x.abs() > lambda) * x;  in TEST_F()  local
2512         auto y_exp = (x_orig < min_val) * min_val +  in TEST_F()  local
2560         auto y_exp =  in TEST_F()  local
2586   auto y_exp = torch::log(  in TEST_F()  local
2739   const auto y_exp = (x < 0) * model->weight * x + (x >= 0) * x;  in TEST_F()  local
2759     auto y_exp = (x_orig < 0) * 0 + (x_orig >= 0) * x_orig;  in TEST_F()  local
2785     auto y_exp = (x_orig < 0) * 0 + ((x_orig >= 0) * (x_orig <= 6)) * x_orig +  in TEST_F()  local
2849       auto y_exp = torch::max(torch::zeros_like(x_orig), x_orig) +  in TEST_F()  local
2884   const auto y_exp = x * 0.5 * (1.0 + torch::erf(x / std::sqrt(2.0)));  in TEST_F()  local
2893   const auto y_exp = 0.5 * x * (1.0 + inner.tanh());  in TEST_F()  local
2902   auto y_exp = x * x.exp().log1p().tanh();  in TEST_F()  local
2911   auto y_exp = 1 / (1 + torch::exp(-x));  in TEST_F()  local
2925   auto y_exp = torch::tensor(  in TEST_F()  local
2940   auto y_exp = torch::tensor(  in TEST_F()  local
2960       auto y_exp =  in TEST_F()  local
2986     auto y_exp = (x < -lambda) * (x + lambda) + (x > lambda) * (x - lambda);  in TEST_F()  local
2994   auto y_exp = x / (1 + x.abs());  in TEST_F()  local
3003   auto y_exp = (x.exp() - (-x).exp()) / (x.exp() + (-x).exp());  in TEST_F()  local
3012   auto y_exp = x - x.tanh();  in TEST_F()  local
3027         auto y_exp =  in TEST_F()  local