Inference model error when xla enabled with error message "OP_REQUIRES failed at xla_ops.cc:462 : NOT_FOUND: could not find registered platform with id: 0x7f7537df9c24"
@Weili17,

Could you please try to follow the below instructions and let us know if it helps in this case.

1. Create a `nvvm/libdevice` folder in the Conda environment lib folder.

2. Copy the `libdevice.10.bc` file to the directory `nvvm/libdevice`
 This file may be found in your system like the below path:

```
miniconda3/pkgs/cudatoolkit-11.2.2-hbe64b41_10/info/recipe/NVIDIA_EULA:libdevice.10.bc
miniconda3/pkgs/cudatoolkit-11.2.2-hbe64b41_10/info/files:lib/libdevice.10.bc
miniconda3/pkgs/cudatoolkit-11.2.2-hbe64b41_10/info/licenses/NVIDIA_EULA:libdevice.10.bc
```
try the command: **export XLA_FLAGS=–xla_gpu_cuda_data_dir=/home/miniconda3/envs/lib**

The path `/home/miniconda3/envs/lib` may be different in your case, it should trace for absolute path of lib folder available in miniconda3 like **miniconda3/envs/lib** or **miniconda/lib**

Thank you! > @Weili17,
> 
> Could you please try to follow the below instructions and let us know if it helps in this case.
> 
> 1. Create a `nvvm/libdevice` folder in the Conda environment lib folder.
> 2. Copy the `libdevice.10.bc` file to the directory `nvvm/libdevice`
>    This file may be found in your system like the below path:
> 
> ```
> miniconda3/pkgs/cudatoolkit-11.2.2-hbe64b41_10/info/recipe/NVIDIA_EULA:libdevice.10.bc
> miniconda3/pkgs/cudatoolkit-11.2.2-hbe64b41_10/info/files:lib/libdevice.10.bc
> miniconda3/pkgs/cudatoolkit-11.2.2-hbe64b41_10/info/licenses/NVIDIA_EULA:libdevice.10.bc
> ```
> 
> try the command: **export XLA_FLAGS=–xla_gpu_cuda_data_dir=/home/miniconda3/envs/lib**
> 
> The path `/home/miniconda3/envs/lib` may be different in your case, it should trace for absolute path of lib folder available in miniconda3 like **miniconda3/envs/lib** or **miniconda/lib**
> 
> Thank you!

In my case, the code is running with C++ in a docker environment while cuda is installed in /usr/local/cuda. I have tested put the libdevice.10.bc to /usr/local/lib, it does not work. so what should I do?  Any update on this issue? I'm running into the same error while doing something very similar.
<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Bug

### Have you reproduced the bug with TF nightly?

No

### Source

source

### Tensorflow Version

tf2.9.2

### Custom Code

Yes

### OS Platform and Distribution

Linux Ubuntu 16.04

### Mobile device

_No response_

### Python version

Python 3.10.6

### Bazel version

5.3.2

### GCC/Compiler version

gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0

### CUDA/cuDNN version

11.6

### GPU model and memory

_No response_

### Current Behaviour?

A bug happened!

### Standalone code to reproduce the issue

```shell
inference model error in c++ running with xla enabled. when xla disabled, all works fine.

run with option:
export XLA_FLAGS="--xla_dump_to=/tmp/generated --xla_hlo_profile"
export TF_XLA_FLAGS="--tf_xla_auto_jit=2 --tf_xla_cpu_global_jit"
```


### Relevant log output

```shell
2023-06-06 13:54:27.650731: W tensorflow/core/framework/op_kernel.cc:1745] OP_REQUIRES failed at xla_ops.cc:462 : NOT_FOUND: could not find registered platform with id: 0x7f7537df9c2
```
</details>