jupyter_gpu/tensorflow/notebooks/Testing GPU.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"id": "000d047d-3dfd-48cb-a3c3-bd1ad7c78b71",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"TensorFlow version: 2.16.1\n",
"GPUs detected: 1\n",
" - /physical_device:GPU:0\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-06-03 21:52:43.785816: 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\n",
"2024-06-03 21:52:43.795907: 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\n",
"2024-06-03 21:52:43.799970: 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\n"
]
}
],
"source": [
"import tensorflow as tf\n",
"\n",
"def get_available_gpus():\n",
" gpus = tf.config.list_physical_devices('GPU')\n",
" if gpus:\n",
" print(f\"GPUs detected: {len(gpus)}\")\n",
" for gpu in gpus:\n",
" print(f\" - {gpu.name}\")\n",
" else:\n",
" print(\"No GPUs detected.\")\n",
"\n",
"if __name__ == \"__main__\":\n",
" print(\"TensorFlow version:\", tf.__version__)\n",
" get_available_gpus()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "324dc7a1-61b8-4384-bfed-4385e7dbe49d",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.0rc1"
}
},
"nbformat": 4,
"nbformat_minor": 5
}