code: def gelu_prime(x: np.ndarray) -> np.ndarray:
      term1 = 0.0356774 * x * x * x
      term2 = 0.398942 * x
      term3 = 0.797885 * x
      term4 = 0.0535161 * x * x * x
      hyp_secant = 1 / np.cosh(term1 + term3)
      hyp_secant *= hyp_secant
      return (
          0.5 * np.tanh(term1 + term3)
          + (term4 + term2) * hyp_secant
          + 0.5
      )
  
file_path: fused-gelu-testing/src/numpy_reference.py
imports: import torch
  import numpy
  import triton
label_desc: Use image node_id 4 for calling a global function with example usage: gelu_prime(x) and returns: unknown