class_docstr: ResNet model.
class_docstr_tok: ["ResNet","model","."]
docstr: Relu, with optional leaky support.
docstr_tok: ["Relu",",","with","optional","leaky","support","."]
code: def _relu(self, x, leakiness=0.0):
      """Relu, with optional leaky support."""
      return tf.where(
          tf.less(x, 0.0), leakiness * x, x, name="leaky_relu"
      )
  
imports: from collections import namedtuple
  import tensorflow
  import six
  from model import MLPnGPU
  from model import Conv2DnGPU
  from model import LinearnGPU
  from model import LayerNorm
label_desc: Use image node_id 13 for calling the ResNetTF obj's underlying member method code with example usage: obj._relu(x, leakiness) and returns: tf