code: def _compile_with_cache_hip(
      source,
      options,
      arch,
      cache_dir,
      extra_source,
      backend="hiprtc",
      name_expressions=None,
      log_stream=None,
      cache_in_memory=False,
      use_converter=True,
  ):
      global _empty_file_preprocess_cache
  
      # TODO(leofang): this might be possible but is currently undocumented
      if _is_cudadevrt_needed(options):
          raise ValueError(
              "separate compilation is not supported in HIP"
          )
  
      # HIP's equivalent of -ftz=true, see ROCm-Developer-Tools/HIP#2252
      # Notes:
      # - For hipcc, this should just work, as invalid options would cause errors
      #   See https://clang.llvm.org/docs/ClangCommandLineReference.html.
      # - For hiprtc, this is a no-op until the compiler options like -D and -I
      #   are accepted, see ROCm-Developer-Tools/HIP#2182 and
      #   ROCm-Developer-Tools/HIP#2248
      options += ("-fcuda-flush-denormals-to-zero",)
  
      # Workaround ROCm 4.3 LLVM_PATH issue in hipRTC #5689
      rocm_build_version = driver.get_build_version()
      if (
          rocm_build_version >= 40300000
          and rocm_build_version < 40500000
      ):
          options += (
              "-I"
              + get_rocm_path()
              + "/llvm/lib/clang/13.0.0/include/",
          )
  
      if cache_dir is None:
          cache_dir = get_cache_dir()
      # As of ROCm 3.5.0 hiprtc/hipcc can automatically pick up the
      # right arch without setting HCC_AMDGPU_TARGET, so we don't need
      # to tell the compiler which arch we are targeting. But, we still
      # need to know arch as part of the cache key:
      if arch is None:
          # On HIP, gcnArch is computed from "compute capability":
          # https://github.com/ROCm-Developer-Tools/HIP/blob/rocm-4.0.0/rocclr/hip_device.cpp#L202
          arch = device.Device().compute_capability
      if use_converter:
          source = _convert_to_hip_source(
              source, extra_source, is_hiprtc=(backend == "hiprtc")
          )
  
      env = (arch, options, _get_nvrtc_version(), backend)
      base = _empty_file_preprocess_cache.get(env, None)
      if base is None:
          # This is for checking HIPRTC/HIPCC compiler internal version
          if backend == "hiprtc":
              base = _preprocess_hiprtc("", options)
          else:
              base = _preprocess_hipcc("", options)
          _empty_file_preprocess_cache[env] = base
  
      key_src = "%s %s %s %s" % (env, base, source, extra_source)
      key_src = key_src.encode("utf-8")
      name = _hash_hexdigest(key_src) + ".hsaco"
  
      mod = function.Module()
  
      if not cache_in_memory:
          # Read from disk cache
          if not os.path.isdir(cache_dir):
              os.makedirs(cache_dir, exist_ok=True)
  
          # To handle conflicts in concurrent situation, we adopt lock-free
          # method to avoid performance degradation.
          # We force recompiling to retrieve C++ mangled names if so desired.
          path = os.path.join(cache_dir, name)
          if os.path.exists(path) and not name_expressions:
              with open(path, "rb") as f:
                  data = f.read()
              if len(data) >= _hash_length:
                  hash_value = data[:_hash_length]
                  binary = data[_hash_length:]
                  binary_hash = _hash_hexdigest(binary).encode("ascii")
                  if hash_value == binary_hash:
                      mod.load(binary)
                      return mod
      else:
          # Enforce compiling -- the resulting kernel will be cached elsewhere,
          # so we do nothing
          pass
  
      if backend == "hiprtc":
          # compile_using_nvrtc calls hiprtc for hip builds
          binary, mapping = compile_using_nvrtc(
              source,
              options,
              arch,
              name + ".cu",
              name_expressions,
              log_stream,
              cache_in_memory,
          )
          mod._set_mapping(mapping)
      else:
          binary = compile_using_hipcc(
              source, options, arch, log_stream
          )
  
      if not cache_in_memory:
          # Write to disk cache
          binary_hash = _hash_hexdigest(binary).encode("ascii")
  
          # shutil.move is not atomic operation, so it could result in a
          # corrupted file. We detect it by appending a hash at the beginning
          # of each cache file. If the file is corrupted, it will be ignored
          # next time it is read.
          with tempfile.NamedTemporaryFile(
              dir=cache_dir, delete=False
          ) as tf:
              tf.write(binary_hash)
              tf.write(binary)
              temp_path = tf.name
          shutil.move(temp_path, path)
  
          # Save .cu source file along with .hsaco
          if _get_bool_env_variable(
              "CUPY_CACHE_SAVE_CUDA_SOURCE", False
          ):
              with open(path + ".cpp", "w") as f:
                  f.write(source)
      else:
          # we don't do any disk I/O
          pass
  
      mod.load(binary)
      return mod
  
imports: import copy
  import hashlib
  import math
  import os
  import platform
  import re
  import shutil
  import subprocess
  import sys
  import tempfile
  import warnings
  from cupy.cuda import device
  from cupy.cuda import function
  from cupy.cuda import get_rocm_path
  from cupy_backends.cuda.api import driver
  from cupy_backends.cuda.api import runtime
  from cupy_backends.cuda.libs import nvrtc
  from cupy import _util
label_desc: Use image node_id 24 for calling a global function with example usage: _compile_with_cache_hip(source, options, arch, cache_dir, extra_source, backend, name_expressions, log_stream, cache_in_memory, use_converter) and returns: mod, mod