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...
此文章默认显卡支持CUDA和已安装显卡驱动,貌似目前只有英伟达的显卡支持CUDA。 本人显卡为GTX1660,需要的CUDA和cuDNN已打包好(hyfi),其余请自行下载 绿色软件GPU-Z可直接检测显卡,下载链接(os41) 查看显卡支持的 CUDA 版本 先在官网查显卡的算力(Compute Capability),如 RTX 3060 为 8.6 再查该算力支持的 CUDA SD...
Hello, I am using Ubuntu-17.10. I installed cuda-9.2 and cuDNN for deep learning purposes. However when I installed tensorflow-gpu, I ran into a problem. found out that tensorflow-gpu is compatible with cuda-9.2. Inste…
2018-03-08 17:46:50.845206: E tensorflow/stream_executor/cuda/cuda_dnn.cc:378] Loaded runtime CuDNN library: 7101 (compatibility version 7100) butsourcewas compiled with 7004 (compatibility version 7000). If using a binary install, upgrade your CuDNN library to match. If building from source...
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 ...
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 ...
Would you like to register the kernel module souces with DKMS? This will allow DKMS to automatically build a new module, if you install a different kernel later? 选择No 继续。 问题大概是:Nvidia’s 32-bit compatibility libraries? 选择No 继续。
E tensorflow/stream_executor/cuda/cuda_dnn.cc:347] Loaded runtime CuDNN library: 4007 (compatibility version 4000) but source was compiled with 5103 (compatibility version 5100). If using a binary install, upgrade your CuDNN library to match. If building from sources, make sure the library ...
•当配置GPU时,如果在configure脚本中存在请求,则可根据请求自动构建GPU,而不需要--config = cuda。 •修复CPU / GPU多项式中小概率的不正确采样。 •在session上添加一个list_devices()API以列出集群中的设备。此外,此更改增加了设备列表中的主要API以支持指定session。
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...