code: def _pallas_call_default_lowering(
      ctx: mlir.LoweringRuleContext,
      *in_nodes,
      interpret: bool,
      **params,
  ):
      platforms = ctx.module_context.platforms
      if len(platforms) > 1:
          raise ValueError(
              "Can only lower pallas_call on a single platform."
          )
      platform = platforms[0]
      if interpret:
          # If we are in interpret mode, we don't care what platform we are on.
          impl = partial(_pallas_call_impl, **params, interpret=True)
          return mlir.lower_fun(impl, multiple_results=True)(
              ctx, *in_nodes
          )
      if platform == "cpu":
          # We only support interpret mode on the CPU backend.
          raise ValueError(
              "Only interpret mode is supported on CPU backend."
          )
      # If we are actually using a specific backend (GPU or TPU), we should have
      # already registered backend-specific lowerings. If we get this far, it means
      # those backends aren't present.
      raise ValueError(
          f"Cannot lower pallas_call on platform: {platform}. "
          "To use Pallas on GPU, please install Triton and JAX-Triton. "
          "To use Pallas on TPU, please install Jaxlib TPU and libtpu."
      )
  
imports: from __future__ import annotations
  from functools import partial
  import itertools
  from typing import Any, Callable
  from collections.abc import Sequence
  import jax
  from jax import api_util
  from jax import tree_util
  from jax import lax
  from jax._src import state
  from jax.interpreters import ad
  from jax.interpreters import batching
  from jax.interpreters import partial_eval
  from jax.interpreters import mlir
  from jax.interpreters import xla
  from jax._src import ad_util
  from jax._src import core
  from jax._src.state import primitives
  from jax._src import linear_util
  from jax._src.state import discharge
  from jax._src.util import split_list, safe_map, safe_zip, weakref_lru_cache, tuple_insert, partition_list, merge_lists
  import jax.numpy
  import numpy
  from jax._src.pallas import core
label_desc: Use image node_id 12 for calling a global function with example usage: _pallas_call_default_lowering(ctx) and returns: mlir