code: def thresholded_relu(
      x: np.ndarray,
      /,
      *,
      threshold: Union[int, float] = 0,
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      return np.where(x > threshold, x, 0).astype(x.dtype)
  
file_path: ivy/ivy/functional/backends/numpy/experimental/activations.py
imports: from typing import Optional, Union, Literal
  import numpy
  import ivy
  from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
label_desc: Use image node_id 2 for calling a global function with example usage: thresholded_relu() and returns: np