Does tensorflow support cuda 11.2?

The problem with relying on Anaconda to install Tensorflow is that is always a bit behind in versions. CUDA 11.2 support seems to be only supported in Tensorflow 2.5.0 which is still a release candidate.

However, if the specific versions are not met, there will be an error when you try to use tensorflow. For tensorflow-gpu==1.12.0 and cuda==9.0, the compatible cu. DNN version is 7.1.4, which can be downloaded from here after registration. You can check your cuda version using.

I remember that i installed my tensorflow using wheel. Currently, the version of Cuda is 10.2, python version is 3.7 and tensorflow version is 2.6.0. The output of the following code gives me:.

You have to roll back to cuda 10.1 in order to use TF 2.1 binary. For using cuda 10.2 you have to install TF from sources. Tensorflow pip package (TF 2.1) now includes GPU support by default (same as tensorflow-gpu) for both Linux and Windows.

Another frequent query is “What version of TensorFlow does cudart64_101 support?”.

The “101” in “cudart64_101.dll” is the supported version, version 10.1 in this case. Install the version that tensorflow does support, it’s in their docs. At the time of writing, it’s version 10.1.

Can I use CUDA 11 1 cuDNN for cuda11 2?

The conclusion was that CUDA 11.1 cu. DNN can’t be used for CUDA 11.2, and we must wait for the CUDA 11.2 cu. DNN before trying again. Did you also try a build with CUDA 11.1?

What versions of CUDA are supported by cupti?

, ( optional) tensor RT 6.0 to improve latency and throughput for inference on some models.

This of course begs the inquiry “What are the software requirements for CUDA and cuDNN?”

, and software requirements . 1 NVIDIA® GPU drivers —CUDA® 11.2 requires 450.80.02 or higher., 4 cu DNN SDK 8.1.0 cu. DNN versions ). 5 (Optional) Tensor. RT 6.0 to improve latency and throughput for inference on some models.

Does TensorFlow utilize GPU?

Bookmark this question. Show activity on this post. The tensorflow which I was using, is not utilizing gpu now, after it has been changed accidentally by other person. I remember that i installed my tensorflow using wheel. Currently, the version of Cuda is 10.2, python version is 3.7 and tensorflow version is 2.6.0.