import torch
import torch.nn as nn

class Model(nn.Module):
    def __init__(self, in_features):
        super().__init__()
        # 使用固定的随机种子确保可复现性
        torch.manual_seed(42)
        self.linear = nn.Linear(in_features, in_features)
    
    def forward(self, x):
        x = self.linear(x)
        return x * torch.tanh(torch.nn.functional.softplus(x))

def get_inputs():
    batch_size = 4096
    in_features = 1024
    x = torch.randn(batch_size, in_features)
    return [x]

def get_init_inputs():
    return [1024]
