code: def _reshape_kernel_for_pmap(
      k: Kernel, device_count: int, n1_per_device: int
  ) -> Kernel:
      cov2 = k.cov2
      if cov2 is None:
          cov2 = k.cov1
      cov2 = jnp.broadcast_to(cov2, (device_count,) + cov2.shape)
  
      mask2 = k.mask2
      if mask2 is None and k.mask1 is not None:
          mask2 = k.mask1
      if mask2 is not None:
          mask2 = jnp.broadcast_to(mask2, (device_count,) + mask2.shape)
  
      x1_is_x2 = jnp.broadcast_to(
          k.x1_is_x2, (device_count,) + k.x1_is_x2.shape
      )
  
      nngp, ntk, cov1 = [
          jnp.reshape(
              x,
              (
                  device_count,
                  n1_per_device,
              )
              + x.shape[1:],
          )
          for x in (k.nngp, k.ntk, k.cov1)
      ]
  
      return k.replace(
          nngp=nngp,
          ntk=ntk,
          cov1=cov1,
          cov2=cov2,
          x1_is_x2=x1_is_x2,
          shape1=(n1_per_device,) + k.shape1[1:],
          mask2=mask2,
      )
  
imports: from functools import partial
  from typing import Any, Callable, Iterable, Optional, TypeVar, Union
  import warnings
  import jax
  from jax import device_put
  from jax import devices
  from jax import jit
  from jax import pmap
  from jax import random
  import jax.numpy
  from jax.tree_util import tree_all
  from jax.tree_util import tree_flatten
  from jax.tree_util import tree_map
  from jax.tree_util import tree_unflatten
  import numpy
  from .utils import utils
  from .utils.kernel import Kernel
  from .utils.typing import KernelFn
  from .utils.typing import NTTree
label_desc: Use image node_id 6 for calling a global function with example usage: _reshape_kernel_for_pmap(k, device_count, n1_per_device) and returns: k