code: def leaky_relu(
      x: Tensor,
      /,
      *,
      alpha: float = 0.2,
      complex_mode="jax",
      out: Optional[Tensor] = None,
  ) -> Tensor:
      return tf.nn.leaky_relu(x, alpha)
  
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 2 for calling a global function with example usage: leaky_relu() and returns: tf