I am trying to install keras-gpu on PC with Tesla V100 and Windows Server 2019. I installed some version (2.4.3) and found that my GPU is not working. I need to install any 2.x.x version of keras with GPU support.

I have installed CUDA 10.1 cudnn 8.0.5 and after many attempts also tried 11.2 version with cudnn 8.1.1 (Also tried 11.5). And started searching version of tensorflow which can find my GPU.

for 10.1:

```
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:12:52_Pacific_Daylight_Time_2019
Cuda compilation tools, release 10.1, V10.1.243

```

I am using this code to check all:

```
import tensorflow
print(tensorflow.__version__)
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())

```

My output:

```
2021-11-06 10:39:16.326880: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll
2.3.0
2021-11-06 10:39:21.177512: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations:  AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-11-06 10:39:21.208333: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x25d395509b0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-11-06 10:39:21.217997: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2021-11-06 10:39:21.261861: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library nvcuda.dll
2021-11-06 10:39:21.677227: E tensorflow/stream_executor/cuda/cuda_driver.cc:314] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
2021-11-06 10:39:21.692028: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: windows-freqgpu
2021-11-06 10:39:21.700398: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: windows-freqgpu
[name: "/device:CPU:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 881354854201867138
, name: "/device:XLA_CPU:0"
device_type: "XLA_CPU"
memory_limit: 17179869184
locality {
}
incarnation: 5868137251793075209
physical_device_desc: "device: XLA_CPU device"
]

```

Tesla V100 here is XLA\_CPU. how to fix this?