code: def gelu(x, approximate=True):
      # TODO: torch.nn.gelu expects string approximate of `"none"` or `"tanh"`
      x = convert_to_tensor(x)
      if approximate:
          return tnn.gelu(x, approximate="tanh")
      return tnn.gelu(x)
  
imports: import torch
  import torch.nn.functional
  import tree
  from keras.backend import standardize_data_format
  from keras.backend import standardize_dtype
  from keras.backend.common.backend_utils import compute_conv_transpose_padding_args_for_torch
  from keras.backend.config import epsilon
  from keras.backend.torch.core import cast
  from keras.backend.torch.core import convert_to_tensor
  from keras.backend.torch.core import get_device
  from keras.backend.torch.numpy import expand_dims
  from keras.backend.torch.numpy import maximum
  from keras.backend.torch.numpy import where
  from keras.utils.argument_validation import standardize_tuple
label_desc: Use image node_id 14 for calling a global function with example usage: gelu(x, approximate) and returns: tnn, tnn