code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      Z = self.linear(x)
      assert not torch.isnan(Z).any()
      assert not torch.isinf(Z).any()
      z1, z2 = torch.chunk(Z, 2, dim=1)
      A = z1 * self.gelu(z2)
      return A
  
file_path: fused-gelu-testing/src/numpy_reference.py
imports: import torch
  import numpy
  import triton
label_desc: Use image node_id 2 for calling the TorchNN obj's underlying member method code with example usage: obj.forward(x) and returns: A