code: def as_tpu_kernel(
      module: ir.Module,
      out_type: Any,
      *,
      cost_estimate: CostEstimate | None = None,
      backend: str | xla_client.Client = "tpu",
      device_type: str | None = None,
      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,
  ) -> Callable[..., Any]:
      """Turns an MLIR Mosaic kernel into a JAX-compatible function."""
      # We use jax.jit to make sure we hit the fast compilation cache.
      some_tpu = jax.devices(backend)[0]
      device_kind = some_tpu.device_kind
      if not device_kind.startswith("TPU v"):
          raise ValueError(
              f"Unrecognized TPU device kind: {device_kind}."
          )
      if vmem_limit_bytes is not None and not isinstance(
          vmem_limit_bytes, int
      ):
          raise ValueError(
              "vmem_limit_bytes must be an int: provided with a"
              f" {type(vmem_limit_bytes)}."
          )
      hardware_generation = int(device_kind[len("TPU v")])
      (
          has_communication,
          has_custom_barrier,
      ) = tpu.private_has_communication(module.operation)
      bytecode_buffer = io.BytesIO()
      module.operation.write_bytecode(
          bytecode_buffer, desired_version=0
      )
      asm = bytecode_buffer.getvalue()
  
      # TODO(amagni): Kernel name and regeneration metadata could alternatively be
      # added as a custom attribute to the MLIR call op rather than including them
      # in the backend_config.
      return _lowered_as_tpu_kernel(
          asm,
          out_type,
          needs_hlo_passes=_MOSAIC_ALLOW_HLO.value,
          needs_layout_passes=not device_type,
          device_type=device_type,
          has_communication=has_communication,
          has_custom_barrier=has_custom_barrier,
          kernel_name=kernel_name,
          kernel_regeneration_metadata=kernel_regeneration_metadata,
          cost_estimate=cost_estimate,
          vmem_limit_bytes=vmem_limit_bytes,
          flags=flags,
      )
  
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 5 for calling a global function with example usage: as_tpu_kernel(module, out_type) and returns: _lowered_as_tpu_kernel