Versions I used for setup
CuDNN - 8.6
CUDA - 11.5
Tensorflow - 2.8.2
Visual studio -2017
RTX 3060 laptop -device
problem is Tensorflow is not identifying GPU:1 which is my rtx 3060 instead it is only giving intel graphic card
Num GPUs Available: 1
GPUs Available: [PhysicalDevice(name=‘/physical_device:GPU:0’, device_type=‘GPU’)]
tried this method
Are the above mentioned correct version of CUDA, CuDNN for my laptop gpu?
How to access GPU:1?
any other information provides is also very well appreciated.
Never mind guys
it does use Nvidia GPU, but it denotes it as GPU0 or device0
I got confused because in video games normally GPU0 is intel GPU
num of available GPUS 1
This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Created device /job:localhost/replica:0/task:0/device:GPU:0 with 3477 MB memory: → device: 0, name: NVIDIA GeForce RTX 3060 Laptop GPU, pci bus id: 0000:01:00.0, compute capability: 8.6