Failure to compile TF 2.15.0/2.16.1 (with Cuda support) using clang in Ubuntu 22.04
When nvcc is used as compiler, compilation still fails. Configure and compile Logs are attached.
[nvcc_compile.txt](https://github.com/tensorflow/tensorflow/files/13443721/nvcc_compile.txt)
[nvcc_config.txt](https://github.com/tensorflow/tensorflow/files/13443722/nvcc_config.txt)
 The only way to have a successful compilation is to use gcc with NO Cuda support. The original bug while using clang can be fixed by making sure the library `libstdc++-12-dev` is installed:

`sudo apt install libstdc++-12-dev`

However a new set of errors appear, which seem related to a confusing definition of `noinline`. Log:

```
ERROR: /home/nicola/Software/tensorflow-dir/gpu/tensorflow/tensorflow/core/kernels/BUILD:5142:18: Compiling tensorflow/core/kernels/sparse_to_dense_op_gpu.cu.cc failed: (Exit 1): clang failed: error executing command (from target //tensorflow/core/kernels:sparse_to_dense_op_gpu) /usr/lib/llvm-14/bin/clang -MD -MF bazel-out/k8-opt/bin/tensorflow/core/kernels/_objs/sparse_to_dense_op_gpu/sparse_to_dense_op_gpu.cu.pic.d ... (remaining 221 arguments skipped)
clang: warning: CUDA version is newer than the latest supported version 11.5 [-Wunknown-cuda-version]
In file included from tensorflow/core/kernels/sparse_to_dense_op_gpu.cu.cc:19:
In file included from ./tensorflow/core/kernels/sparse_to_dense_op_gpu.h:23:
In file included from external/local_xla/xla/stream_executor/device_memory.h:29:
In file included from external/local_xla/xla/stream_executor/platform/port.h:22:
In file included from external/local_tsl/tsl/platform/types.h:24:
In file included from external/local_tsl/tsl/platform/tstring.h:24:
In file included from external/local_tsl/tsl/platform/cord.h:21:
In file included from external/com_google_absl/absl/strings/cord.h:74:
In file included from external/com_google_absl/absl/base/internal/endian.h:22:
In file included from external/com_google_absl/absl/base/casts.h:28:
In file included from /usr/lib/gcc/x86_64-linux-gnu/12/../../../../include/c++/12/memory:76:
In file included from /usr/lib/gcc/x86_64-linux-gnu/12/../../../../include/c++/12/bits/shared_ptr.h:53:
/usr/lib/gcc/x86_64-linux-gnu/12/../../../../include/c++/12/bits/shared_ptr_base.h:196:22: error: use of undeclared identifier 'noinline'; did you mean 'inline'?
      __attribute__((__noinline__))
                     ^
bazel-out/k8-opt/bin/external/local_config_cuda/cuda/cuda/include/crt/host_defines.h:83:24: note: expanded from macro '__noinline__'
        __attribute__((noinline))
                       ^
In file included from tensorflow/core/kernels/sparse_to_dense_op_gpu.cu.cc:19:
In file included from ./tensorflow/core/kernels/sparse_to_dense_op_gpu.h:23:
In file included from external/local_xla/xla/stream_executor/device_memory.h:29:
In file included from external/local_xla/xla/stream_executor/platform/port.h:22:
In file included from external/local_tsl/tsl/platform/types.h:24:
In file included from external/local_tsl/tsl/platform/tstring.h:24:
In file included from external/local_tsl/tsl/platform/cord.h:21:
In file included from external/com_google_absl/absl/strings/cord.h:74:
In file included from external/com_google_absl/absl/base/internal/endian.h:22:
In file included from external/com_google_absl/absl/base/casts.h:28:
In file included from /usr/lib/gcc/x86_64-linux-gnu/12/../../../../include/c++/12/memory:76:
In file included from /usr/lib/gcc/x86_64-linux-gnu/12/../../../../include/c++/12/bits/shared_ptr.h:53:
/usr/lib/gcc/x86_64-linux-gnu/12/../../../../include/c++/12/bits/shared_ptr_base.h:196:22: error: type name does not allow function specifier to be specified
bazel-out/k8-opt/bin/external/local_config_cuda/cuda/cuda/include/crt/host_defines.h:83:24: note: expanded from macro '__noinline__'
        __attribute__((noinline))
                       ^
In file included from tensorflow/core/kernels/sparse_to_dense_op_gpu.cu.cc:19:
In file included from ./tensorflow/core/kernels/sparse_to_dense_op_gpu.h:23:
In file included from external/local_xla/xla/stream_executor/device_memory.h:29:
In file included from external/local_xla/xla/stream_executor/platform/port.h:22:
In file included from external/local_tsl/tsl/platform/types.h:24:
In file included from external/local_tsl/tsl/platform/tstring.h:24:
In file included from external/local_tsl/tsl/platform/cord.h:21:
In file included from external/com_google_absl/absl/strings/cord.h:74:
In file included from external/com_google_absl/absl/base/internal/endian.h:22:
In file included from external/com_google_absl/absl/base/casts.h:28:
In file included from /usr/lib/gcc/x86_64-linux-gnu/12/../../../../include/c++/12/memory:76:
In file included from /usr/lib/gcc/x86_64-linux-gnu/12/../../../../include/c++/12/bits/shared_ptr.h:53:
/usr/lib/gcc/x86_64-linux-gnu/12/../../../../include/c++/12/bits/shared_ptr_base.h:196:22: error: expected expression
bazel-out/k8-opt/bin/external/local_config_cuda/cuda/cuda/include/crt/host_defines.h:83:33: note: expanded from macro '__noinline__'
        __attribute__((noinline))
                                ^
``` @feranick Could you please try to uninstall the clang version 14 and install the clang 13 and try to reconfigure TF ? Please let us know if it helps?
Thank you! Compilation still fails, although for a different reason. Log attached.
[clang-13.txt](https://github.com/tensorflow/tensorflow/files/13479822/clang-13.txt)
 Actually, I tried it in a different machine with a similar configuration, and even using clang-13 the error seems to be the same as in the original post (using clang-14). Log attached.

[clang-13_2.txt](https://github.com/tensorflow/tensorflow/files/13480375/clang-13_2.txt)
 As the issue seems to be related to CUDA, what is the preferred version of CUDA that Google advises to use for TF2.15.0? TF2.14.x works with CUDA 11.8, but this doesn't work (as per this bug) for TF2.15.0. > As the issue seems to be related to CUDA, what is the preferred version of CUDA that Google advises to use for TF2.15.0? TF2.14.x works with CUDA 11.8, but this doesn't work (as per this bug) for TF2.15.0.

12.2 is the CUDA version we bumped from TensorFlow 2.15. Could you please try with that and let us know the outcome. Thanks! Still getting the same error with CUDA 12.2. Log attached.
[clang_3.txt](https://github.com/tensorflow/tensorflow/files/13490098/clang_3.txt)
 I just tried to compile TF2.15.0 using CUDA 12.2 and `nvcc` (NOT clang) and compilation was successful. I'd leave this bug report open, as compilation with clang still fails (and clang is now the default compiler in `configure`).
 It would also be good to update the ./configure to reflect that the min version of CUDA should be 12.2 (it still lists 11), and somewhere a list of the supported versions of each software required.  We have updated the document in the code, due to some sync issue it is not published yet in the website. 
 I have the same problem on rocky 8.8  compiling tensorflow 2.15  with cuda 12.2  and clang 16.0.1. 

Modules loaded for compilation (all compiled in house on the same host):

```
bazel/6.1.0  cuda/12.2.0  python/3.10.2  tensorRT/8.6.1.6  java/11  gcc/11.2.0  llvm/16.0.1  clang/16.0.1
```

Running .configure results in the following  .tf_configure.bazelrc (implying using clang as cuda compiler):

```
build --action_env PYTHON_BIN_PATH="/opt/apps/python/3.10.2/bin/python3"
build --action_env PYTHON_LIB_PATH="/opt/apps/python/3.10.2/lib/python3.10/site-packages"
build --python_path="/opt/apps/python/3.10.2/bin/python3"
build --config=tensorrt
build --action_env TF_CUDA_VERSION="12"
build --action_env TF_CUDNN_VERSION="8"
build --action_env TF_TENSORRT_VERSION="8"
build --action_env TF_NCCL_VERSION=""
build --action_env TF_CUDA_PATHS="/opt/apps/cuda/12.2.0,/opt/apps/tensorRT/8.6.1.6,/usr"
build --action_env CUDA_TOOLKIT_PATH="/opt/apps/cuda/12.2.0"
build --action_env TF_CUDA_COMPUTE_CAPABILITIES="7.0,8.0"
build --action_env LD_LIBRARY_PATH="/opt/apps/clang/16.0.1/lib:/opt/apps/llvm/16.0.1/lib:/opt/apps/gcc/11.2.0/lib64:/opt/apps/gcc/11.2.0/lib:/opt/apps/gcc/11.2.0/lib/gcc/x86_64-pc-linux-gnu/11.2.0:/opt/apps/tensorRT/8.6.1.6/lib:/opt/apps/python/3.10.2
/lib:/opt/apps/cuda/12.2.0/lib64:/opt/apps/cuda/12.2.0/nvvm/lib64:/opt/apps/cuda/12.2.0/cublas/lib64:/opt/apps/cuda/12.2.0/extras/CUPTI/lib64:/opt/apps/cuda/12.2.0/extras/Debugger/lib64"
build --config=cuda_clang
build --action_env CLANG_CUDA_COMPILER_PATH="/opt/apps/clang/16.0.1/bin/clang-16"
build --copt=-Wno-gnu-offsetof-extensions
build --config=cuda_clang
build:opt --copt=-mavx2
build:opt --host_copt=-mavx2
test --test_size_filters=small,medium
test --test_env=LD_LIBRARY_PATH
test:v1 --test_tag_filters=-benchmark-test,-no_oss,-oss_excluded,-gpu,-oss_serial
test:v1 --build_tag_filters=-benchmark-test,-no_oss,-oss_excluded,-gpu
test:v2 --test_tag_filters=-benchmark-test,-no_oss,-oss_excluded,-gpu,-oss_serial,-v1only
test:v2 --build_tag_filters=-benchmark-test,-no_oss,-oss_excluded,-gpu,-v1only
```

The bazel build command:
```
bazel build --config=opt --jobs=8 --verbose_failures --verbose_explanations --explain=/tmp/explain \
                      //tensorflow/tools/pip_package:build_pip_package 
```
If i rerun configure and choose not to use clang as  cuda compiler it results in a slightly 
different .tf.configure.bazelrc file for brevity here are the diffs:

```
dont use clang
< build --action_env GCC_HOST_COMPILER_PATH="/opt/apps/gcc/11.2.0/bin/gcc"
< build --config=cuda
---
use clang
> build --config=cuda_clang
> build --action_env CLANG_CUDA_COMPILER_PATH="/opt/apps/clang/16.0.1/bin/clang-16"
> build --copt=-Wno-gnu-offsetof-extensions
> build --config=cuda_clang
```

and the bazel build fails  with a different  error:

```
bazel-out/k8-opt-exec-50AE0418/bin/tensorflow/python/framework/offset_counter: /lib64/libstdc++.so.6: version 'CXXABI_1.3.13' not found (required by /root/.cache/bazel/_bazel_root/e76370378c3e9e8e238b869c10fc760e/execroot/org_tensorflow/bazel-out/k8-opt-exec-50AE0418/bin/tensorflow/python/framework/../../../_solib_local/_U_S_Stensorflow_Spython_Sframework_Coffset_Ucounter___Utensorflow/libtensorflow_framework.so.2)
bazel-out/k8-opt-exec-50AE0418/bin/tensorflow/python/framework/offset_counter: /lib64/libstdc++.so.6: version 'GLIBCXX_3.4.29' not found (required by /root/.cache/bazel/_bazel_root/e76370378c3e9e8e238b869c10fc760e/execroot/org_tensorflow/bazel-out/k8-opt-exec-50AE0418/bin/tensorflow/python/framework/../../../_solib_local/_U_S_Stensorflow_Spython_Sframework_Coffset_Ucounter___Utensorflow/libtensorflow_framework.so.2)
bazel-out/k8-opt-exec-50AE0418/bin/tensorflow/python/framework/offset_counter: /lib64/libstdc++.so.6: version 'GLIBCXX_3.4.26' not found (required by /root/.cache/bazel/_bazel_root/e76370378c3e9e8e238b869c10fc760e/execroot/org_tensorflow/bazel-out/k8-opt-exec-50AE0418/bin/tensorflow/python/framework/../../../_solib_local/_U_S_Stensorflow_Spython_Sframework_Coffset_Ucounter___Utensorflow/libtensorflow_framework.so.2)
```

While the compilation itself apparently went further, it makes no sense to me that bazel  subcommand failed with 
above errors because /lib64/libstdc++.so.6 should not be used  as my LD_LIBRARY_PATH is set to use clang 16 
and gcc 11.2.0  path first and gcc compilation includes libstdc++.so.6  that has all above mentioned CXX and GLIBCXX entries. Bazel binary  and clang libraries are linked to  use that correct libstdc++.so.6  from gcc 11. 
The question is where  does the /lib64/libstdc++.so.6  come from in bazel work?  

Either way, with or without clang bazel build fails. 
 This is a separate issues than the one reported here (which is specific to Ubuntu, and related to the way CUDA is called within clang). I would recommend filing a separate issue for Rocky linux and libstfc++. I have also been trying to compile TF 2.15 (well, master actually) on Ubuntu 22.04 and have been running into some issues with clang.

I have to say, I find the available documentation on compiling TF from source a tad contradictory and a tad confusing. My story so far is as follows.

1) Install cuda 12.2 and clang 17 (as per 2.15 release notes).
2) Install cuDnn 8.9.7.

I then tried to compile master, but it fails because, despite not configuring tensorrt, it is looking for tensorrt headers.

3) So I try to install tensorrt, but it does not support cuda 12.2 yet.
4) Install cuda 12.1
5) Install tensorrt
6) Install libstdc++-12-dev   

Compiling with clang gets me deep into the compilation, but it then bombs out:

```
ERROR: /home/christopher/.cache/bazel/_bazel_christopher/696f0d61a4ca964b6d054bb99f460f18/external/upb/BUILD:57:11: Compiling upb/decode.c failed: (Exit 1): clang failed: error executing command (from target @upb//:upb) /usr/lib/llvm-17/bin/clang -MD -MF bazel-out/k8-opt/bin/external/upb/_objs/upb/decode.pic.d '-frandom-seed=bazel-out/k8-opt/bin/external/upb/_objs/upb/decode.pic.o' '-DBAZEL_CURRENT_REPOSITORY="upb"' ... (remaining 43 arguments skipped)
clang: error: argument unused during compilation: '--cuda-path=/usr/local/cuda-12.1' [-Werror,-Wunused-command-line-argument]
Target //tensorflow/tools/pip_package:build_pip_package failed to build
```

I am now attempting the build with gcc ...   Still an issue with TF 2.1.6.1. Apparently compiling with clang supports only CUDA up to v11.5. See log below.
[log.txt](https://github.com/tensorflow/tensorflow/files/14575336/log.txt)
 Have you tried it with Clang 17 on your ubuntu, here is the doc for installing Clang https://www.tensorflow.org/install/source#install_clang_recommended_linux_only I will. However, the updated clang 17 is not available in the standard Ubuntu repository (it's an external repo), which means that TF cannot be compiled wth Clang with standard tools. gcc works fine. It would be great to mention that during `./configure` (at least the min version of clang required.  I was able to build 2.16.1 with CUDA 12.4 with clang 17 on Ubuntu 22.04 by manually adding the line "build:cuda --copt=-Wno-error=unused-command-line-argument" into .tf_configure.bazelrc after running configure and before running bazel build. I also had to "export TF_PYTHON_VERSION=3.10" before "bazel build --subcommands //tensorflow/tools/pip_package/v2:wheel --repo_env=WHEEL_NAME=tensorflow --config=cuda".  I do have a separate build error (see issue 62047) if I add copt "-march=native" or "-mavx" though. Minor correction - the issue referenced in 62047 only happens with "-march=native".  "-mavx" does build and run successfully.  The other issue was blocked from comments since I added my note there.  This was done with Intel 4410Y CPUs. > I was able to build 2.16.1 with CUDA 12.4 with clang 17 on Ubuntu 22.04 by manually adding the line "build:cuda --copt=-Wno-error=unused-command-line-argument" into .tf_configure.bazelrc after running configure and before running bazel build. I also had to "export TF_PYTHON_VERSION=3.10" before "bazel build --subcommands //tensorflow/tools/pip_package/v2:wheel --repo_env=WHEEL_NAME=tensorflow --config=cuda". I do have a separate build error (see issue 62047) if I add copt "-march=native" or "-mavx" though.

You don't have to modify the `.tf_configure.bazelrc` file, but yes, if compiling with clang-17, then you should pass `--copt=-Wno-error=unused-command-line-argument` to the `bazel build` command and it will accomplish the same goal w/o modifying a file etc.
 I built v2.16.1 successfully with CUDA 12.3 + cuDNN 8.9.7 + tensorrt 8.6.1 with clang 17 on Ubuntu 22.04, with command line option `--copt=-Wno-error=unused-command-line-argument`.
### Issue type

Build/Install

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

No

### Source

source

### TensorFlow version

2.15.0/2.16.1

### Custom code

No

### OS platform and distribution

Linux Ubuntu 16.04

### Mobile device

_No response_

### Python version

3.10.12

### Bazel version

6.1.0

### GCC/compiler version

Clang 14.0.0-1ubuntu1.1

### CUDA/cuDNN version

11.8-12.3

### GPU model and memory

Quadro RTX 6000 24GB

### Current behavior?

Compiling TF 2.15.0/2.16.1 in Ubuntu 22.04 using clang fails. Log is attached. 

### Standalone code to reproduce the issue

```shell
Using this configuration: 

./configure
You have bazel 6.1.0 installed. (6.5 for TF 2.16.1)
Please specify the location of python. [Default is /usr/bin/python3]: 


Found possible Python library paths:
  /usr/lib/python3/dist-packages
  /usr/local/lib/python3.10/dist-packages
Please input the desired Python library path to use.  Default is [/usr/lib/python3/dist-packages]

Do you wish to build TensorFlow with ROCm support? [y/N]: 
No ROCm support will be enabled for TensorFlow.

Do you wish to build TensorFlow with CUDA support? [y/N]: y
CUDA support will be enabled for TensorFlow.

Do you wish to build TensorFlow with TensorRT support? [y/N]: y
TensorRT support will be enabled for TensorFlow.

Found CUDA 11.8 in:
    /usr/local/cuda-11.8/targets/x86_64-linux/lib
    /usr/local/cuda-11.8/targets/x86_64-linux/include
Found cuDNN 8 in:
    /usr/lib/x86_64-linux-gnu
    /usr/include
Found TensorRT 8.5.3 in:
    /usr/lib/x86_64-linux-gnu
    /usr/include/x86_64-linux-gnu



Please specify a list of comma-separated CUDA compute capabilities you want to build with.
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus. Each capability can be specified as "x.y" or "compute_xy" to include both virtual and binary GPU code, or as "sm_xy" to only include the binary code.
Please note that each additional compute capability significantly increases your build time and binary size, and that TensorFlow only supports compute capabilities >= 3.5 [Default is: 7.5,7.5]: 

Do you want to use clang as CUDA compiler? [Y/n]: 
Clang will be used as CUDA compiler.

Please specify clang path that to be used as host compiler. [Default is /usr/bin/clang]: 


You have Clang 14.0.0-1ubuntu1.1 installed.

Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -Wno-sign-compare]: -Wno-sign-compare


Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: 
Not configuring the WORKSPACE for Android builds.

Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See .bazelrc for more details.
	--config=mkl         	# Build with MKL support.
	--config=mkl_aarch64 	# Build with oneDNN and Compute Library for the Arm Architecture (ACL).
	--config=monolithic  	# Config for mostly static monolithic build.
	--config=numa        	# Build with NUMA support.
	--config=dynamic_kernels	# (Experimental) Build kernels into separate shared objects.
	--config=v1          	# Build with TensorFlow 1 API instead of TF 2 API.
Preconfigured Bazel build configs to DISABLE default on features:
	--config=nogcp       	# Disable GCP support.
	--config=nonccl      	# Disable NVIDIA NCCL support.
Configuration finished
```


### Relevant log output

```shell
Extracting Bazel installation...
Starting local Bazel server and connecting to it...
WARNING: The following configs were expanded more than once: [tensorrt, cuda_clang, cuda]. For repeatable flags, repeats are counted twice and may lead to unexpected behavior.
INFO: Reading 'startup' options from /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --windows_enable_symlinks
INFO: Options provided by the client:
  Inherited 'common' options: --isatty=1 --terminal_columns=100
INFO: Reading rc options for 'build' from /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc:
  Inherited 'common' options: --experimental_repo_remote_exec
INFO: Reading rc options for 'build' from /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc:
  'build' options: --define framework_shared_object=true --define tsl_protobuf_header_only=true --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true --spawn_strategy=standalone -c opt --announce_rc --define=grpc_no_ares=true --noincompatible_remove_legacy_whole_archive --features=-force_no_whole_archive --enable_platform_specific_config --define=with_xla_support=true --config=short_logs --config=v2 --define=no_aws_support=true --define=no_hdfs_support=true --experimental_cc_shared_library --experimental_link_static_libraries_once=false --incompatible_enforce_config_setting_visibility
INFO: Reading rc options for 'build' from /home/nicola/Software/tensorflow/gpu/tensorflow/.tf_configure.bazelrc:
  'build' options: --action_env PYTHON_BIN_PATH=/usr/bin/python3 --action_env PYTHON_LIB_PATH=/usr/lib/python3/dist-packages --python_path=/usr/bin/python3 --config=tensorrt --action_env CUDA_TOOLKIT_PATH=/usr/local/cuda-11.8 --action_env TF_CUDA_COMPUTE_CAPABILITIES=7.5,7.5 --action_env LD_LIBRARY_PATH=/usr/local/cuda-11.8/include:/usr/local/cuda-11.8/targets/x86_64-linux/lib: --config=cuda_clang --action_env CLANG_CUDA_COMPILER_PATH=/usr/lib/llvm-14/bin/clang --config=cuda_clang
INFO: Found applicable config definition build:short_logs in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --output_filter=DONT_MATCH_ANYTHING
INFO: Found applicable config definition build:v2 in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1
INFO: Found applicable config definition build:tensorrt in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --repo_env TF_NEED_TENSORRT=1
INFO: Found applicable config definition build:cuda_clang in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --config=cuda --config=tensorrt --action_env=TF_CUDA_CLANG=1 --@local_config_cuda//:cuda_compiler=clang --repo_env=TF_CUDA_COMPUTE_CAPABILITIES=sm_50,sm_60,sm_70,sm_75,compute_80
INFO: Found applicable config definition build:cuda in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --repo_env TF_NEED_CUDA=1 --crosstool_top=@local_config_cuda//crosstool:toolchain --@local_config_cuda//:enable_cuda
INFO: Found applicable config definition build:tensorrt in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --repo_env TF_NEED_TENSORRT=1
INFO: Found applicable config definition build:cuda_clang in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --config=cuda --config=tensorrt --action_env=TF_CUDA_CLANG=1 --@local_config_cuda//:cuda_compiler=clang --repo_env=TF_CUDA_COMPUTE_CAPABILITIES=sm_50,sm_60,sm_70,sm_75,compute_80
INFO: Found applicable config definition build:cuda in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --repo_env TF_NEED_CUDA=1 --crosstool_top=@local_config_cuda//crosstool:toolchain --@local_config_cuda//:enable_cuda
INFO: Found applicable config definition build:tensorrt in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --repo_env TF_NEED_TENSORRT=1
INFO: Found applicable config definition build:opt in file /home/nicola/Software/tensorflow/gpu/tensorflow/.tf_configure.bazelrc: --copt=-Wno-sign-compare --host_copt=-Wno-sign-compare
INFO: Found applicable config definition build:cuda in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --repo_env TF_NEED_CUDA=1 --crosstool_top=@local_config_cuda//crosstool:toolchain --@local_config_cuda//:enable_cuda
INFO: Found applicable config definition build:linux in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --host_copt=-w --copt=-Wno-all --copt=-Wno-extra --copt=-Wno-deprecated --copt=-Wno-deprecated-declarations --copt=-Wno-ignored-attributes --copt=-Wno-array-bounds --copt=-Wunused-result --copt=-Werror=unused-result --copt=-Wswitch --copt=-Werror=switch --copt=-Wno-error=unused-but-set-variable --define=PREFIX=/usr --define=LIBDIR=$(PREFIX)/lib --define=INCLUDEDIR=$(PREFIX)/include --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include --cxxopt=-std=c++17 --host_cxxopt=-std=c++17 --config=dynamic_kernels --experimental_guard_against_concurrent_changes
INFO: Found applicable config definition build:dynamic_kernels in file /home/nicola/Software/tensorflow/gpu/tensorflow/.bazelrc: --define=dynamic_loaded_kernels=true --copt=-DAUTOLOAD_DYNAMIC_KERNELS
DEBUG: /home/nicola/Software/tensorflow/gpu/tensorflow/tensorflow/tools/toolchains/python/python_repo.bzl:21:14: 
TF_PYTHON_VERSION variable was not set correctly, using default version. 3.10 Python
will be used.

To set Python version, run
export TF_PYTHON_VERSION=3.9
WARNING: The following configs were expanded more than once: [tensorrt, cuda_clang, cuda]. For repeatable flags, repeats are counted twice and may lead to unexpected behavior.
WARNING: Download from https://mirror.bazel.build/github.com/bazelbuild/rules_cc/archive/081771d4a0e9d7d3aa0eed2ef389fa4700dfb23e.tar.gz failed: class java.io.FileNotFoundException GET returned 404 Not Found
INFO: Analyzed target //tensorflow/tools/pip_package:build_pip_package (699 packages loaded, 49725 targets configured).
INFO: Found 1 target...
ERROR: /home/nicola/.cache/bazel/_bazel_nicola/c53ed0be17816f9e0970b1ba234e403c/external/com_google_protobuf/BUILD.bazel:27:11: Compiling src/google/protobuf/arenaz_sampler.cc [for tool] failed: (Exit 1): clang failed: error executing command (from target @com_google_protobuf//:protobuf_lite) 
  (cd /home/nicola/.cache/bazel/_bazel_nicola/c53ed0be17816f9e0970b1ba234e403c/execroot/org_tensorflow && \
  exec env - \
    LD_LIBRARY_PATH=/usr/local/cuda-11.8/include:/usr/local/cuda-11.8/targets/x86_64-linux/lib: \
    PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/snap/bin \
    PWD=/proc/self/cwd \
  /usr/lib/llvm-14/bin/clang -MD -MF bazel-out/k8-opt-exec-50AE0418/bin/external/com_google_protobuf/_objs/protobuf_lite/arenaz_sampler.d '-frandom-seed=bazel-out/k8-opt-exec-50AE0418/bin/external/com_google_protobuf/_objs/protobuf_lite/arenaz_sampler.o' '-DBAZEL_CURRENT_REPOSITORY="com_google_protobuf"' -iquote external/com_google_protobuf -iquote bazel-out/k8-opt-exec-50AE0418/bin/external/com_google_protobuf -isystem external/com_google_protobuf/src -isystem bazel-out/k8-opt-exec-50AE0418/bin/external/com_google_protobuf/src -fmerge-all-constants -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-sign-compare -g0 '-std=c++17' -DHAVE_ZLIB -Woverloaded-virtual -Wno-sign-compare -c external/com_google_protobuf/src/google/protobuf/arenaz_sampler.cc -o bazel-out/k8-opt-exec-50AE0418/bin/external/com_google_protobuf/_objs/protobuf_lite/arenaz_sampler.o)
# Configuration: fccf36a8de6040562b99997447208dc7348eb48df9f6a445d4378df7e13a876c
# Execution platform: @local_execution_config_platform//:platform
In file included from external/com_google_protobuf/src/google/protobuf/arenaz_sampler.cc:31:
external/com_google_protobuf/src/google/protobuf/arenaz_sampler.h:34:10: fatal error: 'atomic' file not found
#include <atomic>
         ^~~~~~~~
1 error generated.
Target //tensorflow/tools/pip_package:build_pip_package failed to build
INFO: Elapsed time: 84.960s, Critical Path: 0.43s
INFO: 60 processes: 59 internal, 1 local.
FAILED: Build did NOT complete successfully
```
