code: def sigmoid(
      x: Tensor, /, *, complex_mode="jax", out: Optional[Tensor] = None
  ) -> Tensor:
      return 1 / (1 + tf.exp(-x))
  
file_path: ivy/ivy/functional/backends/tensorflow/activations.py
imports: from typing import Optional, Union, Literal
  import tensorflow
  from tensorflow.python.types.core import Tensor
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from .None import backend_version
  import ivy.functional.backends.tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: sigmoid() and returns: unknown