import torch
import torch.nn as nn


class Model(nn.Module):
    def __init__(self, tau=0.0):
        super().__init__()
        self.tau = tau

    def forward(self, x: torch.Tensor) -> torch.Tensor:
        return torch.max(x, torch.tensor(self.tau, dtype=x.dtype, device=x.device))


batch_size = 128
feature_dim = 512


def get_inputs():
    x = torch.randn(batch_size, feature_dim, dtype=torch.float32)
    return [x]


def get_init_inputs():
    return [0.0]