API tools faq
paste
Advertisement
cryptoscum

tensorflow 2.16.1-gpu on 3060 cuda 12.7

cryptoscum
May 20th, 2025
150
0
Never
Add comment
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
Bash 6.28 KB | None | 0 0
raw download clone embed print report
  1. root@rri_psG2YI6YcpwUcaag:/# python --version
  2. Python 3.11.0rc1
  3. root@rri_psG2YI6YcpwUcaag:/# nvidia-smi
  4. Tue May 20 06:14:44 2025      
  5. +-----------------------------------------------------------------------------------------+
  6. | NVIDIA-SMI 565.77                 Driver Version: 565.77         CUDA Version: 12.7     |
  7. |-----------------------------------------+------------------------+----------------------+
  8. | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
  9. | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
  10. |                                         |                        |               MIG M. |
  11. |=========================================+========================+======================|
  12. |   0  NVIDIA GeForce RTX 3060        On  |   00000000:82:00.0 Off |                  N/A |
  13. | 50%   36C    P8             17W /  170W |       2MiB /  12288MiB |      0%      Default |
  14. |                                         |                        |                  N/A |
  15. root@rri_psG2YI6YcpwUcaag:/# python --version
  16. Python 3.11.0rc1
  17. root@rri_psG2YI6YcpwUcaag:/# nvidia-smi
  18. Tue May 20 06:15:40 2025      
  19. +-----------------------------------------------------------------------------------------+
  20. | NVIDIA-SMI 565.77                 Driver Version: 565.77         CUDA Version: 12.7     |
  21. |-----------------------------------------+------------------------+----------------------+
  22. | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
  23. | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
  24. |                                         |                        |               MIG M. |
  25. |=========================================+========================+======================|
  26. |   0  NVIDIA GeForce RTX 3060        On  |   00000000:82:00.0 Off |                  N/A |
  27. | 50%   37C    P8             17W /  170W |       2MiB /  12288MiB |      0%      Default |
  28. |                                         |                        |                  N/A |
  29. +-----------------------------------------+------------------------+----------------------+
  30.                                                                                          
  31. +-----------------------------------------------------------------------------------------+
  32. | Processes:                                                                              |
  33. |  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
  34. |        ID   ID                                                               Usage      |
  35. |=========================================================================================|
  36. |  No running processes found                                                             |
  37. +-----------------------------------------------------------------------------------------+
  38. root@rri_psG2YI6YcpwUcaag:/# python
  39. Python 3.11.0rc1 (main, Aug 12 2022, 10:02:14) [GCC 11.2.0] on linux
  40. Type "help", "copyright", "credits" or "license" for more information.
  41. >>> import tensorflow as tf
  42. 2025-05-20 06:16:11.595877: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
  43. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
  44. >>> from tensorflow.python.client import device_lib
  45. >>> print("TensorFlow built with CUDA:", tf.test.is_built_with_cuda())
  46. TensorFlow built with CUDA: True
  47. >>> print("Available devices:", device_lib.list_local_devices())
  48. 2025-05-20 06:16:52.701105: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] 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
  49. 2025-05-20 06:16:52.711481: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] 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
  50. 2025-05-20 06:16:52.714486: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] 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
  51. 2025-05-20 06:16:52.842993: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] 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
  52. 2025-05-20 06:16:52.844131: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] 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
  53. 2025-05-20 06:16:52.845177: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] 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
  54. 2025-05-20 06:16:52.846213: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1928] Created device /device:GPU:0 with 10288 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:82:00.0, compute capability: 8.6
  55. Available devices: [name: "/device:CPU:0"
  56. device_type: "CPU"
  57. memory_limit: 268435456
  58. locality {
  59. }
  60. incarnation: 3871823579894711322
  61. xla_global_id: -1
  62. , name: "/device:GPU:0"
  63. device_type: "GPU"
  64. memory_limit: 10788732928
  65. locality {
  66.   bus_id: 1
  67.   links {
  68.   }
  69. }
  70. incarnation: 9418445773582133226
  71. physical_device_desc: "device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:82:00.0, compute capability: 8.6"
  72. xla_global_id: 416903419
  73. ]
  74. >>>
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement
Public Pastes
Advertisement
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy.  OK, I Understand
Not a member of Pastebin yet?
Sign Up, it unlocks many cool features!