Page History

$ nvidia-smi
Mon Jan  8 10:24:59 2024
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.161.03   Driver Version: 470.161.03   CUDA Version: 11.4     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA RTXA6000...  On   | 00000000:00:05.0 Off |                    0 |
| N/A   N/A    P8    N/A /  N/A |   3712MiB / 48895MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

$ python3 --version
Python 3.8.18

$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Mon_Oct_11_21:27:02_PDT_2021
Cuda compilation tools, release 11.4, V11.4.152
Build cuda_11.4.r11.4/compiler.30521435_0

$ whereis cuda
cuda: /usr/local/cuda

$ cat /home/yigit<USERNAME>/miniforge3/envs/myenv/include/cudnn.h
.
.
.
/*   cudnn : Neural Networks Library

*/

#if !defined(CUDNN_H_)
#define CUDNN_H_

#include <cuda_runtime.h>
#include <stdint.h>

#include "cudnn_version.h"
#include "cudnn_ops_infer.h"
#include "cudnn_ops_train.h"
#include "cudnn_adv_infer.h"
#include "cudnn_adv_train.h"
#include "cudnn_cnn_infer.h"
#include "cudnn_cnn_train.h"

#include "cudnn_backend.h"

#if defined(__cplusplus)
extern "C" {
#endif

#if defined(__cplusplus)
}
#endif

#endif /* CUDNN_H_ */

$ conda list | grep tensorflow
tensorflow                2.13.1          cuda118py38h409af0c_1    conda-forge
tensorflow-base           2.13.1          cuda118py38h52ca5c6_1    conda-forge
tensorflow-estimator      2.13.1          cuda118py38ha2f8a09_1    conda-forge
tensorflow-gpu            2.13.1          cuda118py38h0240f8b_1    conda-forge

$ conda list | grep keras
keras                     2.13.1             pyhd8ed1ab_0    conda-forge

$ python
import tensorflow as tf
tf.test.is_built_with_cuda()
True
tf.config.list_physical_devices('GPU')
[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
print(tf.__version__)
2.13.1