code: def _lowered_as_tpu_kernel(
      lowered_module_asm: bytes,
      out_type: Any,
      *,
      cost_estimate: CostEstimate | None = None,
      needs_hlo_passes: bool = False,
      needs_layout_passes: bool = False,
      device_type: str | None = None,
      has_communication: bool = False,
      has_custom_barrier: bool = False,
      kernel_name: str | None = None,
      kernel_regeneration_metadata: bytes | None = None,
      vmem_limit_bytes: int | None = None,
      flags: dict[str, bool | int | float] | None = None,
  ):
      """Turns a low-level MLIR Mosaic kernel into a JAX-compatible function."""
      unpack = False
      if not isinstance(out_type, collections.abc.Iterable):
          out_type = (out_type,)
          unpack = True
      out_avals = tuple(
          core.ShapedArray(ty.shape, ty.dtype) for ty in out_type
      )
  
      def apply_kernel(*args, collective_id: int | None = None):
          if has_custom_barrier:
              if collective_id is None:
                  raise ValueError(
                      "collective_id has to be specified when using a custom barrier"
                  )
          elif collective_id is not None:
              raise ValueError(
                  "collective_id has to be unspecified or None when not using a custom"
                  " barrier"
              )
          config = CustomCallBackendConfig(
              lowered_module_asm,
              has_communication,
              collective_id,
              device_type,
              cost_estimate,
              needs_hlo_passes,
              needs_layout_passes,
              vmem_limit_bytes,
              flags,
          )
          result = tpu_custom_call_p.bind(
              *args,
              config=config,
              kernel_name=kernel_name,
              kernel_regeneration_metadata=kernel_regeneration_metadata,
              out_avals=out_avals,
          )
          return result[0] if unpack else result
  
      return jax.jit(apply_kernel, static_argnames=["collective_id"])
  
imports: from __future__ import annotations
  import base64
  import collections.abc
  import dataclasses
  import functools
  import io
  import os
  import time
  from typing import Any, Callable
  from absl import flags
  import jax
  from jax import core
  from jax._src import config
  from jax._src.lib import tpu
  from jax._src.lib import xla_client
  from jax._src.interpreters import mlir
  from jax.interpreters import xla
  from jaxlib.mlir import ir
  from jaxlib.mlir.dialects import stablehlo
  import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: _lowered_as_tpu_kernel(lowered_module_asm, out_type) and returns: jax, unknown