code: def Relu():
      r"""Returns a layer that computes the Rectified Linear Unit (ReLU) function.
  
    .. math::
        f(x) = \left\{ \begin{array}{cl}
            0 & \text{if}\ x \leq 0, \\
            x & \text{otherwise}.
        \end{array} \right.
    """
      return Fn(
          "Relu", lambda x: jnp.where(x <= 0, jnp.zeros_like(x), x)
      )
  
imports: from trax import fastmath
  from trax.fastmath import numpy
  from trax.layers import base
  from trax.layers.assert_shape import assert_shape
  from trax.layers.base import Fn
label_desc: Use image node_id 1 for calling a global function with example usage: Relu() and returns: Fn