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tensorflow/tensorflow 2.16.1-gpu on a2000 cuda

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May 20th, 2025
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  1. root@ecstatic-seal:/# nvidia-smi
  2. Tue May 20 06:26:31 2025      
  3. +-----------------------------------------------------------------------------------------+
  4. | NVIDIA-SMI 565.77                 Driver Version: 565.77         CUDA Version: 12.7     |
  5. |-----------------------------------------+------------------------+----------------------+
  6. | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
  7. | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
  8. |                                         |                        |               MIG M. |
  9. |=========================================+========================+======================|
  10. |   0  NVIDIA RTX A2000               On  |   00000000:01:00.0 Off |                  Off |
  11. | 30%   54C    P8             11W /   70W |       2MiB /   6138MiB |      0%      Default |
  12. |                                         |                        |                  N/A |
  13. +-----------------------------------------+------------------------+----------------------+
  14.                                                                                          
  15. +-----------------------------------------------------------------------------------------+
  16. | Processes:                                                                              |
  17. |  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
  18. |        ID   ID                                                               Usage      |
  19. |=========================================================================================|
  20. |  No running processes found                                                             |
  21. +-----------------------------------------------------------------------------------------+
  22. root@ecstatic-seal:/# python
  23. Python 3.11.0rc1 (main, Aug 12 2022, 10:02:14) [GCC 11.2.0] on linux
  24. Type "help", "copyright", "credits" or "license" for more information.
  25. >>> import tensorflow as tf
  26. 2025-05-20 06:26:55.590048: I tensorflow/core/util/port.cc:113] 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`.
  27. 2025-05-20 06:26:55.616956: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
  28. To enable the following instructions: AVX2 AVX512F AVX512_VNNI AVX512_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
  29. >>> from tensorflow.python.client import device_lib
  30. >>> print("TensorFlow built with CUDA:", tf.test.is_built_with_cuda())
  31. TensorFlow built with CUDA: True
  32. >>> print("Available devices:", device_lib.list_local_devices())
  33. 2025-05-20 06:28:30.805722: 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
  34. 2025-05-20 06:28:30.811279: 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
  35. 2025-05-20 06:28:30.813092: 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
  36. 2025-05-20 06:28:30.961116: 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
  37. 2025-05-20 06:28:30.962737: 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
  38. 2025-05-20 06:28:30.964258: 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
  39. 2025-05-20 06:28:30.965773: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1928] Created device /device:GPU:0 with 4183 MB memory:  -> device: 0, name: NVIDIA RTX A2000, pci bus id: 0000:01:00.0, compute capability: 8.6
  40. Available devices: [name: "/device:CPU:0"
  41. device_type: "CPU"
  42. memory_limit: 268435456
  43. locality {
  44. }
  45. incarnation: 6824755425701592460
  46. xla_global_id: -1
  47. , name: "/device:GPU:0"
  48. device_type: "GPU"
  49. memory_limit: 4386652160
  50. locality {
  51.   bus_id: 1
  52.   links {
  53.   }
  54. }
  55. incarnation: 8931498875897323852
  56. physical_device_desc: "device: 0, name: NVIDIA RTX A2000, pci bus id: 0000:01:00.0, compute capability: 8.6"
  57. xla_global_id: 416903419
  58. ]
  59. >>>
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