When compiling TensorFlow 2.13 using bazel+clang, an error was reported as fatal error: 'stddef. h' file not found
I have encountered the same issue as you. @mars1248,
Could you please confirm the bazel version you are trying to compile and also whether you are building from source or any other way?
Looks like the t**hird_party/gpus/rocm_configure.bzl** file does not include a path for clang 16.0.0. Could you please try manually include it now and please report back whether this allows it to compile successfully.

 Thank you! I use tensorflow/build:2.13-python3.11 image, with bazel 5.3.0. and build from source code.
I add this **inc_dirs.append("/usr/lib/llvm-16/lib/clang/16/include")** code to **third_party/gpus/rocm_configure.bzl** but get this error.
`ERROR: /root/.cache/bazel/_bazel_root/645133528a7a8476e9bedcf54eb858b4/external/llvm-project/llvm/BUILD.bazel:184:11: Compiling llvm/lib/Support/Atomic.cpp failed: (Exit 1): clang failed: error executing command /usr/bin/clang -MD -MF bazel-out/k8-opt-exec-50AE0418/bin/external/llvm-project/llvm/_objs/Support/Atomic.d ... (remaining 87 arguments skipped)
In file included from external/llvm-project/llvm/lib/Support/Atomic.cpp:13:
In file included from external/llvm-project/llvm/include/llvm/Support/Atomic.h:20:
In file included from external/llvm-project/llvm/include/llvm/Support/DataTypes.h:19:
In file included from external/llvm-project/llvm/include/llvm-c/DataTypes.h:43:
/usr/include/x86_64-linux-gnu/sys/types.h:144:10: fatal error: 'stddef.h' file not found
#include <stddef.h>
         ^~~~~~~~~~
1 error generated.` Use ```/usr/lib/llvm-16/bin/clang``` instead of ```/usr/bin/clang-16```,this may help.

my build env(not using Docker):
- Ubuntu 22.04
- Clang  16.0.6 from https://apt.llvm.org/
- Python 3.10
- Bazel  5.3.0
- cuDnn  8.6
- CUDA   11.8
configure:
- No ROCm support
- cuda and tensorrt support

### Issue type

Build/Install

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

2.13

### Custom code

No

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

I use tensorflow/build:2.13-python3.11 image

When compiling TensorFlow 2.13 using bazel+clang, an error was reported as fatal error: 'stddef. h' file not found.
but I can find 'stddef. h' in docker container path **/usr/lib/llvm-16/lib/clang/16/include** ，if I manual append **-isystem /usr/lib/llvm-16/lib/clang/16/include** to clang compile command, the bellow code can run success 

### Standalone code to reproduce the issue

```shell
"cd /root/.cache/bazel/_bazel_root/645133528a7a8476e9bedcf54eb858b4/execroot/org_tensorflow && \
  exec env - \
    DOCKER_HOST_CACHEBUSTER=1682977560680045781 \
    LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/lib \
    PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin \
    PWD=/proc/self/cwd \
  /usr/bin/clang-16 -MD -MF bazel-out/host/bin/external/zlib/_objs/zlib/uncompr.d '-frandom-seed=bazel-out/host/bin/external/zlib/_objs/zlib/uncompr.o' -iquote external/zlib -iquote bazel-out/host/bin/external/zlib  -isystem external/zlib -isystem bazel-out/host/bin/external/zlib -Wno-builtin-macro-redefined '-D__DATE__="redacted"' '-D__TIMESTAMP__="redacted"' '-D__TIME__="redacted"' -fPIE -U_FORTIFY_SOURCE '-D_FORTIFY_SOURCE=1' -fstack-protector -Wall -Wno-invalid-partial-specialization -fno-omit-frame-pointer -no-canonical-prefixes -DNDEBUG -g0 -O2 -ffunction-sections -fdata-sections '--cuda-path=/usr/local/cuda-11.8' -g0 -w -Wno-shift-negative-value -DZ_HAVE_UNISTD_H -c external/zlib/uncompr.c -o bazel-out/host/bin/external/zlib/_objs/zlib/uncompr.o"
this code will get fatal error: 'stddef. h' file not found.
```


### Relevant log output

_No response_