如果成功运行,会显示下列信息: bai@ubuntu:~/cudnn_samples_v8/mnistCUDNN$sudo./mnistCUDNNExecuting:mnistCUDNNcudnnGetVersion():8101,CUDNN_VERSIONfromcudnn.h:8101(8.1.1)Hostcompilerversion:GCC9.3.0Thereare2CUDAcapabledevicesonyourmachine:device0:sms30Capabilities6.1,SmClock1582.0Mhz,MemSize(Mb)12196,...
Please specify an Android build tools version to use. [Available versions: [‘30.0.0’]] [Default is 30.0.0]: Preconfigured Bazel build configs. You can use any of the below by adding “–config=<>” to your build command. See .bazelrc for more details. –config=mkl # Build with MK...
Then make two shortcuts with the following command: *You must point to the original file. (If the installation path of Python and the location of the mentioned driver are different for you, then replace your own path with the path of the code below.)sudo ln -s ~/usr/local/lib/python...
Executing:mnistCUDNN cudnnGetVersion():8101,CUDNN_VERSIONfromcudnn.h:8101(8.1.1)Host compiler version:GCC9.3.0There are2CUDA capable devices on your machine:device0:sms30Capabilities6.1,SmClock1582.0Mhz,MemSize(Mb)12196,MemClock5705.0Mhz,Ecc=0,boardGroupID=0device1:sms30Capabilities6.1,SmClock15...
TensorFlow 模型在开发环境中经过训练和验证。一旦发布,它们需要托管在某个地方,提供用工程师和软件工程师使用,以集成到各种应用中。 TensorFlow 为此提供了一个高表现服务器,称为 TensorFlow 服务。 要在生产中提供 TensorFlow 模型,需要在离线训练后保存它们,然后在生产环境中恢复经过训练的模型。 TensorFlow 模型在保存...
Xcode command-line tools:xcode-select --install Get started 1. Set up the environment Virtual environment: python3-m venv~/venv-metalsource~/venv-metal/bin/activatepython-m pip install-U pip 2. Install base TensorFlow For TensorFlow version 2.13 or later: ...
CUDA/cuDNN version: n/a GPU model and memory: n/a Exact command to reproduce: import tensorflow as tf You can collect some of this information using our environment capture script: https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh ...
一个不方便的地方是,<command>必须是可执行文件的完整路径;换句话说,ld-2.17.so不会去$PATH里查找。例如,你直接用ls代替<command>是不行的,必须写/bin/ls。但有一个投机取巧的方法是用`which ls`代替<command>,由which命令来查找ls所在的位置。
For JetPack 4, please check the command below: Jetson Nano Our official TensorFlow release for Jetson Nano! Python 3.6+JetPack4.6.3 $ sudo apt-get update $ sudo apt-get install -y python3-pip pkg-config $ sudo apt-get install -y libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev ...
then the software provides a download link to the corresponding support package in the Add-On Explorer. A recommended practice is to download the support package to the default location for the version of MATLAB you are running. You can also directly download the support packages fr...