code: def jax_max_pool(x, pool_size, strides, padding):
      return _pooling_general(
          x,
          lax.max,
          -jnp.inf,
          pool_size=pool_size,
          strides=strides,
          padding=padding,
      )
  
imports: import functools
  import jax
  from jax import lax
  from jax import random
  import jax.numpy
  import jax.scipy.special
  import numpy
  import tensorflow
  import tensorflow_datasets
  from trax.fastmath import numpy
  from trax.shapes import signature
label_desc: Use image node_id 3 for calling a global function with example usage: jax_max_pool(x, pool_size, strides, padding) and returns: _pooling_general