cuBLAS Error in 2.14.0
@Romeo-CC,
I tried to install the latest tensorflow v2.14, and it was installed on the ubuntu 23.04 environment. Though it produced the Information warnings and the mentioned erros, I was able to import the tensorflow and ran the code without any issues. Kindly find the screenshot below for the reference.

```
(tf) tilakrayal@tilak-214-gpu:~$ python3 -c "import tensorflow as tf; print(tf.__version__)"
2023-09-29 09:38:46.654714: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2023-09-29 09:38:46.724680: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-09-29 09:38:46.724902: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-09-29 09:38:46.725069: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-09-29 09:38:46.738490: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2023-09-29 09:38:46.739029: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-09-29 09:38:48.156496: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2.14.0
```

Thank you! Hi @tilakrayal. Thank you for your reply !
In your test case, the output shows "2023-09-29 09:38:46.654714: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used." You may not have installed proper CUDA version in your env, which means TF running in CPU mode.  
Have you ever tested the tf-2.14.0 running in GPU mode ? Any luck on this ?

I seem to have exact problem on win10/wsl2/tensorflow2.14/ i have the same problem win11/wsl2/tensorflow 2.14.0 Same issue with Ubuntu 22.04 + Cuda 12.2 + cudnn 8.9 + build from source
```
alex@pc:~$ python
Python 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2023-10-09 22:31:24.914587: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-10-09 22:31:24.914620: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-10-09 22:31:24.914625: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-10-09 22:31:24.919056: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
``` I'm facing the same issue, but it is able to show all the physical devices

```
python test.py 
2023-10-10 11:43:10.106768: I tensorflow/core/util/port.cc:111] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2023-10-10 11:43:10.138994: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-10-10 11:43:10.139027: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-10-10 11:43:10.139047: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-10-10 11:43:10.145045: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU'), PhysicalDevice(name='/physical_device:GPU:1', device_type='GPU'), PhysicalDevice(name='/physical_device:GPU:2', device_type='GPU'), PhysicalDevice(name='/physical_device:GPU:3', device_type='GPU'), PhysicalDevice(name='/physical_device:GPU:4', device_type='GPU'), PhysicalDevice(name='/physical_device:GPU:5', device_type='GPU'), PhysicalDevice(name='/physical_device:GPU:6', device_type='GPU'), PhysicalDevice(name='/physical_device:GPU:7', device_type='GPU')]
2.14.0
``` I get the same error. rtx 3090 Driver Version: 536.99 cuda: 12.2
![image](https://github.com/tensorflow/tensorflow/assets/64731985/004a8c7f-9613-475b-ae23-96d831025120)
 got the same error on win11/wsl2/ubuntu22.04.2LTS.

``` 2023-10-11 08:35:26.693664: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-10-11 08:35:26.693719: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-10-11 08:35:26.696431: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-10-11 08:35:26.883564: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-10-11 08:35:28.856732: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT```
 > Same issue with Ubuntu 22.04 + Cuda 12.2 + cudnn 8.9 + build from source
> 
> ```
> alex@pc:~$ python
> Python 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] on linux
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import tensorflow as tf
> 2023-10-09 22:31:24.914587: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
> 2023-10-09 22:31:24.914620: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
> 2023-10-09 22:31:24.914625: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
> 2023-10-09 22:31:24.919056: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
> To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
> ```

Same here! ```
darsh@darsh-Dell-G15-5520 ~ python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"

2023-10-11 15:56:05.907841: I tensorflow/core/util/port.cc:111] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2023-10-11 15:56:05.930153: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-10-11 15:56:05.930185: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-10-11 15:56:05.930202: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-10-11 15:56:05.934830: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-10-11 15:56:07.902179: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-10-11 15:56:07.905331: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-10-11 15:56:07.905438: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]

```
Same Here! and this is making my kernel crash when i am trying to do subclassing Same! Do anyone found a solution? Same here!
```
tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-10-12 17:38:30.347657: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-10-12 17:38:30.347695: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-10-12 17:38:30.355820: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
``` Same again,

`2023-10-13 09:41:44.982611: I tensorflow/core/util/port.cc:111] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2023-10-13 09:41:45.005469: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-10-13 09:41:45.005514: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-10-13 09:41:45.005529: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-10-13 09:41:45.009825: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
/usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.0
  warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"` cc: @learning-to-play  I had this issue and so I downgraded to CUDA 11.8. I modified the following script to handle the downgrade, as the process turned out to be a bit of a pain (lingering files and accidental NVIDIA linux driver installs can cause issues): https://gist.github.com/agentcoops/2c46871c151b32989908361516d08b2a  Same error, reproduced also in TF nightly build
Ubuntu 22.04 + CUDA 12.2 + NVIDIA 535.113.01 + cuDNN 8.9.5

`Python 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2023-10-16 20:53:16.857979: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-10-16 20:53:16.858019: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-10-16 20:53:16.858727: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-10-16 20:53:16.862814: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-10-16 20:53:17.441781: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
>>> print(tf.__version__)
2.16.0-dev20231013
` Here is my complete Fix, supposedly its the newer Kernel causing incompatibility issues so use Ubuntu 20.04 LTS:

https://github.com/tensorflow/tensorflow/issues/62095#issuecomment-1763366758 same here, using nvidia 535 on ubuntu 22.04, install tf using `pip install tensorflow[and-cuda]` and got the same errors. Same issue here.

Maybe some extra context will help:

If I run the command via poetry (with tensorflow 2.14.0) It doesn't even detect the GPU.

```
2023-10-27 20:07:02.381901: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2023-10-27 20:07:02.422719: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-10-27 20:07:02.422754: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-10-27 20:07:02.422785: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-10-27 20:07:02.431549: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2023-10-27 20:07:02.431843: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-10-27 20:07:03.495677: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-10-27 20:07:04.548181: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-10-27 20:07:04.598400: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2211] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
```

If I install tensorflow via `pip install tensorflow[and-cuda]` then it does detect the GPU but still complains about the rest.

 Same issue here on both WSL2 and Ubuntu.

```
>>> import tensorflow as tf
2023-10-28 13:19:49.412588: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-10-28 13:19:49.413083: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-10-28 13:19:49.437814: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
``` @BinyanHu , Could you please try in the Tensorflow 2.15rc0 Same issue, Tried using  `pip install tensorflow[and-cuda]` to no avail
Tensorflow Version: 2.14.0

2023-11-01 17:50:29.722414: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-11-01 17:50:29.722443: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-11-01 17:50:29.722477: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-11-01 17:50:29.728122: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
 Problem happens also within Tensorflow docker container.  This problem occured in version 2.10 and 2.11, then repaired since 2.12, but come again in 2.14. Also getting this error

OS: Linux Ubuntu Lunar Lobster 23.04
Tensorflow: 2.14.0

```
2023-11-10 15:18:50.850954: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-11-10 15:18:50.850979: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-11-10 15:18:50.850997: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-11-10 15:18:50.855865: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
``` See https://github.com/tensorflow/tensorflow/issues/62075#issuecomment-1806539392 Same error happening with Windows 11, WSL2, and Tensorflow 2.14.1 with an RTX 2060

```
2023-11-14 21:31:07.995539: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-11-14 21:31:07.995626: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-11-14 21:31:07.995681: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
```

Downgrading to another version of Tensorflow did not work I think it’s a problem by design. TF has stopped supporting  gpu under
windows since 2.10..so don’t break your head anymore …

On Wed, 15 Nov 2023 at 9:05 AM, Sebastián Segovia ***@***.***>
wrote:

> Same error happening with Windows 11, WSL2, and Tensorflow 2.14.1 with an
> RTX 2060
>
> 2023-11-14 21:31:07.995539: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
> 2023-11-14 21:31:07.995626: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
> 2023-11-14 21:31:07.995681: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
>
> Downgrading to another version of Tensorflow did not work
>
> —
> Reply to this email directly, view it on GitHub
> <https://github.com/tensorflow/tensorflow/issues/62002#issuecomment-1811756806>,
> or unsubscribe
> <https://github.com/notifications/unsubscribe-auth/AAPLTDRMG36MFVDGULUWMOTYEQZ6NAVCNFSM6AAAAAA5KZQL6SVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQMJRG42TMOBQGY>
> .
> You are receiving this because you commented.Message ID:
> ***@***.***>
>
 Installing TF2.9 from [this comment](https://github.com/google-research/deduplicate-text-datasets/issues/33#issue-1990918530) fixed the "Unable to register..." errors for me. This bug happens in TF2.14. Just downgrade to 2.9. > Installing TF2.9 from [this comment](https://github.com/google-research/deduplicate-text-datasets/issues/33#issue-1990918530) fixed the "Unable to register..." errors for me. This bug happens in TF2.14. Just downgrade to 2.9.

Still happens in TF 2.15 - downgrading to TF 2.9 also fixed that error.
### Issue type

Bug

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

No

### Source

binary

### TensorFlow version

2.14.0

### Custom code

No

### OS platform and distribution

Ubuntu 23.04

### Mobile device

_No response_

### Python version

3.11.5

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

CUDA 11.8 CUDNN 8.9.4

### GPU model and memory

Nvidia RTX 3080ti

### Current behavior?

in the shell terminal

install tensorflow via pip
```sh
pip install tensorflow==2.14.0
```

In the python terminal

input 

```python
import tensorflow as tf
```

then the output

```sh
2023-09-28 19:19:50.298229: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-09-28 19:19:50.298259: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-09-28 19:19:50.298302: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-09-28 19:19:50.303578: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-09-28 19:19:50.982905: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
```



### Standalone code to reproduce the issue

```shell
no
```


### Relevant log output

_No response_