code: def relu6(x):
      """ReLU6.
  
      Computes Rectified Linear 6: `min(max(features, 0), 6)`.
  
      Arguments:
          x: A `Tensor` with type `float`, `double`, `int32`, `int64`, `uint8`,
              `int16`, or `int8`.
  
      Returns:
          A `Tensor` with the same type as `x`.
      """
      return tf.nn.relu6(x)
  
imports: from __future__ import division, print_function, absolute_import
  import tensorflow.compat.v1
  import numpy
  import tflearn
  from .None import initializations
  from .None import variables
  from .utils import get_from_module
label_desc: Use image node_id 9 for calling a global function with example usage: relu6(x) and returns: tf