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...
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…
and computer vision. the tensorflow ngc container is optimized for gpu acceleration, and contains a validated set of libraries that enable and optimize gpu performance. this container may also contain modifications to the tensorflow source code in order to maximize performance and compatibility. this ...
ERROR: Could not find a version that satisfies the requirement tensorrt==8.5.3.1;extra =="and-cuda"(from tensorflow[and-cuda]) (from versions: 0.0.1.dev5, 0.0.1, 8.6.1, 8.6.1.post1, 9.0.0.post11.dev1, 9.0.0.post12.dev1, 9.0.1.post11.dev4, 9.0.1.post12.dev4) ERROR: No...
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 ...
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: ...
For more information, see CUDA Compatibility and Upgrades. GPU Requirements Release 22.06 supports CUDA compute capability 6.0 and later. This corresponds to GPUs in the NVIDIA Pascal, NVIDIA Volta™, NVIDIA Turing™, and NVIDIA Ampere Architecture GPU families. For a list of GPUs to which...
Container VersionUbuntuCUDA ToolkitTensorFlowTensorRT 23.0220.04NVIDIA CUDA 12.0.1 2.11.0 1.15.5 TensorRT 8.5.3 23.01TensorRT 8.5.2.2 22.12NVIDIA CUDA 11.8.0 2.10.1 1.15.5 TensorRT 8.5.1 22.11 2.10.0 1.15.5 22.10TensorRT 8.5 EA 22.09
系统环境:Linux系统中使用Python 3.6及其以上版本、CUDA 10.0。 框架:TensorFlow 1.15。 推理优化工具:Blade 3.17.0及其以上版本。 操作流程 使用Blade优化基于TensorFlow的ResNet50模型的流程如下: 步骤一:准备工作 安装支持TensorRT优化的Blade Wheel包,并下载ResNet50模型及测试数据。 步骤二:调用Blade优化模型 调用blad...
•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。