Row 7156

Row ID: 7156 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 7156 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

❯ nvidia-smi Wed May 15 15:16:46 2024 +---------------------------------------------------------------------------------------+ | NVIDIA-SMI 545.29.06 Driver Version: 545.29.06 CUDA Version: 12.3 | |-----------------------------------------+----------------------+----------------------+ | 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 GeForce RTX 3050 ... Off | 00000000:01:00.0 Off | N/A | | N/A 43C P0 752W / 60W | 4MiB / 4096MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ +---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | 0 N/A N/A 1543 G /usr/bin/gnome-shell 1MiB | +---------------------------------------------------------------------------------------+

I do think that I need to manually install CUDA and CuDNN

FieldValue
text ❯ nvidia-smi Wed May 15 15:16:46 2024 +---------------------------------------------------------------------------------------+ | NVIDIA-SMI 545.29.06 Driver Version: 545.29.06 CUDA Version: 12.3 | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-…
label r/tensorflow
dataType comment
communityName r/tensorflow
datetime 2024-05-15
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Raw Record

{
  "text": "    ❯ nvidia-smi\n    Wed May 15 15:16:46 2024       \n    +---------------------------------------------------------------------------------------+\n    | NVIDIA-SMI 545.29.06              Driver Version: 545.29.06    CUDA Version: 12.3     |\n    |-----------------------------------------+----------------------+----------------------+\n    | GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC |\n    | Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |\n    |                                         |                      |               MIG M. |\n    |=========================================+======================+======================|\n    |   0  NVIDIA GeForce RTX 3050 ...    Off | 00000000:01:00.0 Off |                  N/A |\n    | N/A   43C    P0             752W /  60W |      4MiB /  4096MiB |      0%      Default |\n    |                                         |                      |                  N/A |\n    +-----------------------------------------+----------------------+----------------------+\n                                                                                             \n    +---------------------------------------------------------------------------------------+\n    | Processes:                                                                            |\n    |  GPU   GI   CI        PID   Type   Process name                            GPU Memory |\n    |        ID   ID                                                             Usage      |\n    |=======================================================================================|\n    |    0   N/A  N/A      1543      G   /usr/bin/gnome-shell                          1MiB |\n    +---------------------------------------------------------------------------------------+\n\nI do think that I need to manually install CUDA and CuDNN",
  "label": "r/tensorflow",
  "dataType": "comment",
  "communityName": "r/tensorflow",
  "datetime": "2024-05-15",
  "username_encoded": "Z0FBQUFBQm5LakwzSkRWc0xKS2lyS25PLUJINE5tcFhMOXl4ejlZMjdKN2hSelZJWWxoLVZ3bS14WWpVa0tpQmh6RXRSdVRSMVl5QTF0MEJkVHFkZXI1MkRhOEUyX0t0dWp3MldmQ0M4TjhLNS1kZkMwNDlSMGM9",
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}
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