So, because hex-packages depends on both jax[cuda12] (0.4.23) and tensorflow[and-cuda] (2.15.0), version solving failed. and none of thejax[cuda12]versions with GPU compatibility supportnvidia-nccl-cu12=2.16.5; does this requirement need to be hard or can it be looser to accomodate h...
cuda-9.0 is now installed. But I am still getting the same error when i tried to run tensorflow-gpu. 1.How to make sure that tensorflow-gpu uses the newly installed cuda-9.0 ? 2. Do I have to downgrade my cuDNN version too? Can multiple cuDNN verion coexits?Robert...
CUDA cuBLAS NVIDIA cuDNN NVIDIA NCCL(optimized forNVLink) RAPIDS NVIDIA Data Loading Library (DALI) TensorRT TensorFlow with TensorRT (TF-TRT) The software stack in this container has been validated for compatibility, and does not require any additional installation or compilation from the end user...
Bazel version No response GCC/compiler version No response CUDA/cuDNN version No response GPU model and memory No response Current behavior? I wanted to check what is the cuda and cUDNN version compatibility required for tensorflow 2.17.0? Standalone code to reproduce the issue I wanted to che...
然后在下载了11.2版本的cuda之后,发现上面写了一串数字460.27.04,最开始没有管它,安了一个515的nvidia driver,nvidia-smi上表示的是低于11.7版本的cuda就可以,但是不要被这句话忽悠了,反正我重新安装了460.27.04版本的nvidia driver才可以的。 废话不多说了,进入正题: ...
步骤5中下载Cuda Toolkit 太慢了,需要10个小时,还是直接在线安装吧,先下载这个,然后 dpkg -i cuda-repo-ubuntu1410_7.0-28_amd64.deb apt-get update apt-get install cuda 1. 2. 3. 这个只需要20分钟左右。安装好过后cuda应该就在/usr/local/路径下了。然后安装CUDNN Toolkit,进入其下载目录: tar xvzf...
conda install cudatoolkit=10.1 # GPU 加速，需要英伟达GPU，要跟 python 的版本一一对应 conda ...
Operating System + Version: Ubuntu + 16.04 GPU Type: GeForce GTX1650,4GB Nvidia Driver Version: 470.63.01 CUDA Version: 10.2.300 CUDNN Version: 7.6.5 Python Version (if applicable): 3.6.14 virtualenv:20.13.0 gcc:7.5.0 g++:7.5.0
The CUDA driver's compatibility package only supports particular drivers. Thus, users should upgrade from all R418, R440, and R460 drivers, which are not forward-compatible with CUDA 11.7. For a complete list of supported drivers, see the CUDA Application Compatibility topic. For more information...
For more information, see CUDA Compatibility and Upgrades and NVIDIA CUDA and Drivers Support. GPU Requirements Release 22.02 supports CUDA compute capability 6.0 and higher. This corresponds to GPUs in the NVIDIA Pascal, Volta, Turing, and Ampere Architecture GPU families. Specifically, for a ...