<u><h2>HW Info:</h2></u><b>Tensorflow Version: </b>2.15.0<br><b>Phys. devices: </b>[PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU')]<br><b>Local.devices: </b>[name: "/device:CPU:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 3594252067859808768
xla_global_id: -1
, name: "/device:GPU:0"
device_type: "GPU"
memory_limit: 6508118016
locality {
  bus_id: 1
  links {
  }
}
incarnation: 1722906422046085873
physical_device_desc: "device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:06:00.0, compute capability: 8.6"
xla_global_id: 416903419
]<br><b>OS info: </b><br><b>System: </b> Linux<br><b>Node Name: </b>darkblu<br><b>Release: </b>6.2.0-39-generic<br><b>Version: </b>#40-Ubuntu SMP PREEMPT_DYNAMIC Tue Nov 14 14:18:00 UTC 2023<br><b>Machine: </b>x86_64<br><b>Processor: </b>x86_64<br><hr><p>Sat Jul 27 09:37:36 2024       <br>+-----------------------------------------------------------------------------------------+<br>| NVIDIA-SMI 555.42.02              Driver Version: 555.42.02      CUDA Version: 12.5     |<br>|-----------------------------------------+------------------------+----------------------+<br>| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |<br>| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |<br>|                                         |                        |               MIG M. |<br>|=========================================+========================+======================|<br>|   0  NVIDIA GeForce RTX 3060        Off |   00000000:06:00.0 Off |                  N/A |<br>|  0%   38C    P0             15W /  170W |     135MiB /   8192MiB |      1%      Default |<br>|                                         |                        |                  N/A |<br>+-----------------------------------------+------------------------+----------------------+<br>                                                                                         <br>+-----------------------------------------------------------------------------------------+<br>| Processes:                                                                              |<br>|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |<br>|        ID   ID                                                               Usage      |<br>|=========================================================================================|<br>|    0   N/A  N/A      1391      G   /usr/lib/xorg/Xorg                             14MiB |<br>|    0   N/A  N/A      1514      C   ...anaconda3/envs/python3.9/bin/python        102MiB |<br>+-----------------------------------------------------------------------------------------+</p>