code: def hardswish(
      x: Tensor,
      /,
      *,
      complex_mode: Literal["split", "magnitude", "jax"] = "jax",
      out: Optional[Tensor] = None,
  ) -> Tensor:
      return x * tf.nn.relu6(x + 3) / 6
  
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 10 for calling a global function with example usage: hardswish() and returns: unknown