I am trying to download deep lab cut. I have a GPU, Cuda, and cuDNN ready to go, but I can’t find info about TensorFlow compatibility with CUDA after the TF version 2.9.0.
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No, Please refer to the below tested build configurations
Note: All the existing Tensorflow nightlies and Tensorflow 2.12 (yet to release) are compatible with CUDA 11.8 support.
Could you please update this to the page 从源代码构建 | TensorFlow ?
Seems the page hasn’t been updated for some time.
Thanks for reporting.
Hi @chunduriv , I have a machine with CUDA 11.6. Is Tensorflow 2.12.0 compatible with this version of CUDA? Or if not, is this on the future roadmap? Thanks
I don’t think it is on road map. According to tested build configurations latest tensorflow 2.12 is compatible with CUDA 11.8.
Ok thanks @chunduriv. Do I need to install Visual Studio on my machine for Tensorflow 2.12.0 to identify CUDA version 11.8 GPU on my machine? If yes, then what components of Visual Studio do I need to install? Thanks for your assistance in advance.
I have upgraded the version of CUDA to 11.8, however, when I run the below code, the result is ‘0’.
print("Num GPUs Available: ", len(tf.config.list_physical_devices(‘GPU’)))
Am I missing something?