code: def threefry_2x32_prf(key, x: jnp.ndarray) -> jnp.ndarray:
      """Apply the threefry PRF to an array of inputs.
  
      This function is vectorized over x.
      For threefry_2x32: K = X = uint32[2]
  
      Args:
        key: uint32[2] the key of the PRF
        x: uint32[..., 2] the inputs
  
      Returns:
        y: uint32[..., 2] the outputs
      """
      if not (key.shape == (2,) and key.dtype == jnp.uint32):
          raise TypeError("key must be uint32[2]", key)
      if not (x.shape[-1:] == (2,) and x.dtype == jnp.uint32):
          raise TypeError("x must be uint32[..., 2]", x)
      # Threefry-2x32 expects this weird format:
      x_3f = jnp.moveaxis(x, source=-1, destination=0).flatten()
      y_3f = jex.random.threefry_2x32(key, x_3f)
      y = jnp.moveaxis(
          jnp.reshape(y_3f, (2,) + x.shape[:-1]),
          source=0,
          destination=-1,
      )
      return y
  
imports: import logging
  import jax
  import jax.extend
  import numpy
  import trax
  from trax import fastmath
  from trax.fastmath import numpy
  from trax.layers import base
  from trax.layers import initializers
label_desc: Use image node_id 1 for calling a global function with example usage: threefry_2x32_prf(key, x) and returns: y