code: def logsigmoid(
      input: Tensor,
      /,
      *,
      complex_mode="jax",
      out: Optional[Tensor] = None,
  ) -> Tensor:
      if input.dtype in [tf.complex64, tf.complex128]:
          return tf.math.log(tf.nn.sigmoid(input))
      return tf.math.log_sigmoid(input)
  
file_path: ivy/ivy/functional/backends/tensorflow/experimental/activations.py
imports: from typing import Optional, Union, Literal
  import tensorflow
  from tensorflow.python.types.core import Tensor
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from .None import backend_version
label_desc: Use image node_id 4 for calling a global function with example usage: logsigmoid() and returns: tf, tf