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;
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…
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...
Error messages: 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 bui...
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...
Q:Nvidia's 32-bit compatibility libraries? NO Q: Would you like to run the nvidia-xconfigutility to automatically update your x configuration so that the NVIDIA x driver will be used when you restart x? Any pre-existing x confile will be backed up. ...
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 ...
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: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 ...
For backward compatibility with previous container releases, AMP can also be enabled for tf.train optimizers by defining the following environment variable: 1 export TF_ENABLE_AUTO_MIXED_PRECISION=1 When enabled, automatic mixed precision will do two things: Insert the appropriate cast operations ...