[Python] Tensorflow in WSL: Unable to register cuFFT factory - one has already been registered

I am trying to get tensorflow running with CUDA. Since windows is no longer supported, I installed it in WSL.

I installed all the required tools:

• nvidia-smi gives my correct GPU info both in WSL and host system (reports to be v 575.51.03
• nvcc in WSL says it's release 12.0, V12.0.140
• cuda-toolkit is already the newest version (12.9.0-1) according to apt
• Tensorflow is version 2.19.0

I am getting these errors:

2025-05-26 21:22:32.067575: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1748287352.084328 14362 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1748287352.089101 14362 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1748287352.104529 14362 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1748287352.104570 14362 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1748287352.104576 14362 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1748287352.104579 14362 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-05-26 21:22:32.110219: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI AVX512_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
W0000 00:00:1748287354.131098 14362 gpu_device.cc:2341] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...

Continue reading...