cuda | Greyscale image using NVIDIA CUDA 5 Toolkit and OpenCV | GPU library

I have a problem about not accessing GPU in PyCharm and I use NVIDIA as GPU.

I installed tensorflow-gpu in Python Interpreter of Setting part in Pycharm and then I run the code but I still cannot access it.

I wonder if I should use CUDA library? How can I fix it?

Here is my code snippet which is shown below.

Machine Setting:

• GPU: GeForce RTX 3060

• Driver Version: 460.73.01

• CUDA Driver Veresion: 11.2

• Tensorflow: tensorflow-gpu 1.14.0

• CUDA Runtime Version: 10.0

• cudnn: 7.4.1

Note:

1. CUDA Runtime and cudnn version fits the guide from Tensorflow official documentation.
2. I've also tried for TensorFlow-gpu = 2.0, still the same problem.

Problem:

I am using Tensorflow for an objection detection task. My situation is that the program will stuck at

2021-06-05 12:16:54.099778: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10

for several minutes.

And then stuck at next loading process

2021-06-05 12:21:22.212818: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7

for even longer time. You may check log.txt for log details.

After waiting for around 30 mins, the program will start to running and WORK WELL.

However, whenever program invoke self.session.run(...), it will load the same two library related to cuda (libcublas and libcudnn) again, which is time-wasted and annoying.

I am confused that where the problem comes from and how to resolve it. Anyone could help?

Discussion Issue on Github

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Update

After @talonmies 's help, the problem was resolved by resetting the environment with correct version matching among GPU, CUDA, cudnn and tensorflow. Now it works smoothly.

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