
import torch
import torch.nn as nn

class Model(nn.Module):  
    def __init__(self):
        super().__init__()
        self.lrn = nn.LocalResponseNorm(size=3, alpha=1e-4, beta=0.75, k=2.0)

    def forward(self, x: torch.Tensor) -> torch.Tensor:
        return self.lrn(x)

def get_inputs():
    return [torch.randn(8, 32, 64, 64)]  

def get_init_inputs():
    return []