code: def get_compile_options(
      num_replicas: int,
      num_partitions: int,
      device_assignment=None,
      use_spmd_partitioning: bool = True,
      use_auto_spmd_partitioning: bool = False,
      auto_spmd_partitioning_mesh_shape: list[int] | None = None,
      auto_spmd_partitioning_mesh_ids: list[int] | None = None,
      env_options_overrides: dict[str, str] | None = None,
      fdo_profile: bytes | None = None,
      detailed_logging: bool = True,
      backend: xc.Client | None = None,
  ) -> xc.CompileOptions:
      """Returns the compile options to use, as derived from flag values.
  
      Args:
        num_replicas: Number of replicas for which to compile.
        num_partitions: Number of partitions for which to compile.
        device_assignment: Optional ndarray of jax devices indicating the assignment
          of logical replicas to physical devices (default inherited from
          xla_client.CompileOptions). Must be consistent with `num_replicas` and
          `num_partitions`.
        use_spmd_partitioning: boolean indicating whether to enable SPMD or MPMD
          partitioning in XLA.
        use_auto_spmd_partitioning: boolean indicating whether to automatically
          generate XLA shardings for SPMD partitioner.
        auto_spmd_partitioning_mesh_shape: device mesh shape used to create
          auto_spmd_partitioning search space.
        auto_spmd_partitioning_mesh_ids: device ids used to create
          auto_spmd_partitioning search space.
        env_options_overrides: dict of additional options parsed by the compiler
        fdo_profile: Optional profile for feedback-directed optimization passed to
          XLA.
        detailed_logging: Is this an "interesting" computation about which XLA
          would be wise to log compilation information?
        backend: the client, if available.
      """
      compile_options = xc.CompileOptions()
      compile_options.num_replicas = num_replicas
      compile_options.num_partitions = num_partitions
      build_options = compile_options.executable_build_options
      build_options.use_spmd_partitioning = use_spmd_partitioning
      build_options.use_auto_spmd_partitioning = (
          use_auto_spmd_partitioning
      )
      if fdo_profile is not None:
          build_options.fdo_profile = fdo_profile
      if use_auto_spmd_partitioning:
          build_options.auto_spmd_partitioning_mesh_shape = (
              auto_spmd_partitioning_mesh_shape or []
          )
          build_options.auto_spmd_partitioning_mesh_ids = (
              auto_spmd_partitioning_mesh_ids or []
          )
      if device_assignment is not None:
          logger.debug(
              "get_compile_options: num_replicas=%s num_partitions=%s device_assignment=%s",
              num_replicas,
              num_partitions,
              device_assignment,
          )
          device_assignment = np.array(device_assignment)
  
          # Allow 1D device assignment if num_partitions is 1.
          if (device_assignment.ndim == 1) and (num_partitions == 1):
              device_assignment = device_assignment[:, None]
  
          if num_replicas != device_assignment.shape[0]:
              msg = "device_assignment does not match num_replicas: {} vs {}."
              raise ValueError(
                  msg.format(device_assignment, num_replicas)
              )
  
          if num_partitions != device_assignment.shape[1]:
              msg = "device_assignment does not match num_partitions: {} vs {}."
              raise ValueError(
                  msg.format(device_assignment, num_partitions)
              )
  
          if device_assignment.dtype == object:
              device_assignment = np.vectorize(
                  lambda d: d.id, otypes=[int]
              )(device_assignment)
          device_assignment = xc.DeviceAssignment.create(
              device_assignment
          )
          assert device_assignment.replica_count() == num_replicas
          assert device_assignment.computation_count() == num_partitions
          compile_options.device_assignment = device_assignment
  
      if env_options_overrides is not None:
          compile_options.env_option_overrides = list(
              env_options_overrides.items()
          )
  
      debug_options = (
          compile_options.executable_build_options.debug_options
      )
      if lib.cuda_path is not None:
          debug_options.xla_gpu_cuda_data_dir = lib.cuda_path
  
      if _DISABLE_MOST_OPTIMIZATIONS.value:
          debug_options.xla_backend_optimization_level = 0
          debug_options.xla_llvm_disable_expensive_passes = True
          debug_options.xla_test_all_input_layouts = False
  
      # XLA-AutoFDO profile version: precedence order is:
      # 1. Whatever --jax_xla_profile_version is set to.
      # 2. If --jax_xla_profile_version is not set (i.e., 0), call the function
      #    set in get_latest_profile_version and use the return value if non-zero.
      #    If the function returns 0, set -1; this is an error.
      # -1 indicates that no attempt should be made to retrieve the latest profile
      # later on.
      jax_xla_profile_version = config.jax_xla_profile_version.value
      if jax_xla_profile_version > 0:
          compile_options.profile_version = jax_xla_profile_version
          logger.debug(
              "get_compile_options XLA-AutoFDO profile: "
              + "using JAX XLA profile version %d from flag",
              jax_xla_profile_version,
          )
      else:
          compile_options.profile_version = _NO_PROFILE_DONT_RETRIEVE
          if backend is None:
              logging.info(
                  "get_compile_options: no backend supplied; "
                  "disabling XLA-AutoFDO profile"
              )
          else:
              fdo_profile_version = get_latest_profile_version(backend)
              if fdo_profile_version != 0:
                  compile_options.profile_version = fdo_profile_version
                  logger.debug(
                      "get_compile_options XLA-AutoFDO profile: "
                      + "using XLA-AutoFDO profile version %d",
                      fdo_profile_version,
                  )
              else:
                  logger.error(
                      "get_compile_options XLA-AutoFDO profile: "
                      + "XLA-AutoFDO profile version is 0; this should not happen"
                  )
  
      debug_options.xla_detailed_logging = detailed_logging
  
      return compile_options
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  import time
  from typing import Any
  import logging
  import warnings
  import numpy
  from jax._src import lib
  from jax._src import distributed
  from jax._src import compilation_cache
  from jax._src import config
  from jax._src.xla_bridge import process_count
  from jax._src import monitoring
  from jax._src import profiler
  from jax._src import traceback_util
  from jax._src.interpreters import mlir
  from jax._src.lib import xla_extension_version
  from jax._src.lib.mlir import ir
  from jax._src.lib import xla_client
label_desc: Use image node_id 4 for calling a global function with example usage: get_compile_options(num_replicas, num_partitions, device_assignment, use_spmd_partitioning, use_auto_spmd_partitioning, auto_spmd_partitioning_mesh_shape, auto_spmd_partitioning_mesh_ids, env_options_overrides, fdo_profile, detailed_logging, backend) and returns: compile_options