你可以访问以下链接,根据你的 TensorFlow 和 PyTorch 版本找到相应的 CUDA 和 CuDNN 版本: [TensorFlow CUDA Compatibility]( [PyTorch CUDA Compatibility]( 4. 安装适当版本的 CUDA 和 CuDNN 根据官方文档所提供的对应版本,下载合适的 CUDA 和 CuDNN 版本。 访问[NVIDIA CUDA Toolkit]( 下载 CUDA。 下载相应版...
然后解压tgz包, 复制文件到cuda环境, 接着安装deb包. tar -zxvf cudnn-10.0-linux-x64-v7.5.0.56.tgz sudo cp cuda/include/cudnn.h /usr/local/cuda/include sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64 sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcu...
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 driver version is insufficient for CUDA runtime version 经过分析,我发现使用anaconda自动分析依赖安装的cudatoolkit的版本是CUDA 10.0 (10.0.130),而ubuntu装机自带的NVIDIA驱动版本是nvidia-38 使用如下命令查询Nvidia驱动版本: nvidia-smi 使用如下命令查询cudatoolkit, cuda, cudnn版本: conda list cudatoolkit...
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...
E tensorflow/stream_executor/cuda/cuda_dnn.cc:390]Loaded runtime CuDNN library: 5005 (compatibility version 5000) but source wascompiled with 5110 (compatibility version 5100). If using a binary install, upgrade your CuDNNlibrary to match. If building fromsources, make sure the library loaded ...
I tensorflow/core/common_runtime/gpu/gpu_device.cc:838] Creating TensorFlow device(/gpu:0) -> (device:0, name: Tesla K20m, pci bus id:0000:02:00.0) E tensorflow/stream_executor/cuda/cuda_dnn.cc:347] Loaded runtime CuDNN library: 6022(compatibility version5000) but source was compiled ...
Bazel version 6.1.0 GCC/compiler version 16.0.6 CUDA/cuDNN version 12.2 / 8.9.6 GPU model and memory GTX1650 Current behavior? I am currently setting up TensorFlow 2.17.0 and want to ensure compatibility with CUDA. Could you please provide the recommended CUDA version for TensorFlow 2.17.0?
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 ...
EN最近把tensorflow跟pytorch都重新安装了，发现我以前安装的CUDA10.0的版本无法跟tensorflow2.x适配了，于是我又重新卸载安装了CUDA10.1 +cuDNN8.0.x的版本，然后发现我的Win10上又跟以前一样可以运行tensorflow或者pytorch了。下面就说一下我是如何在Windows 10系统下完成这些配置的。首先看一下软件版本信息：