至此,tensorflow应该就可以找到GPU了。 print(tf.config.experimental.list_physical_devices(device_type='GPU')) #查看gpu 输出结果: >>> print(tf.config.experimental.list_physical_devices(device_type='GPU')) [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU'), PhysicalDevice(name=...
Note: GPU support on native-Windows is only available for 2.10 or earlier versions, starting in TF 2.11, CUDA build is not supported for Windows. For using TensorFlow GPU on Windows, you will need to build/install TensorFlow in WSL2 or use tensorflow-cpu with TensorFlow-DirectML-Plugin Build...
查看机器 GPU 的信息: nvidia-smi 持续更新查看: nvidia-smi -l 其他方式如下: import os # 使用GPU0 和 GPU1 os.environ['CUDA_VISIBLE_DEVICES...'] = '0, 1' # 通过 allow_soft_placement 参数...
可以从dockerhub网站查询该镜像的所有可用版本,比如稳定版 (latest) ,指定版本 (2.2.0) 或者每天更新版 (nightly) 等。 如果要使用GPU来支持模型的预测服务,则需要获取TensorFlow Serving镜像相应的GPU版本 (docker pull tensorflow/serving:version-gpu) 并且要配置好本地的GPU环境。 单模型 Serving 服务 当我们训练...
- Could not load 'cudart64_80.dll'. The GPU version of TensorFlow requires that this DLL be installed in a directory that is named in your %PATH% environment variable. Download and install CUDA 8.0 from this URL: https://developer.nvidia.com/cuda-toolkit""")try: ...
) elif not cudnn5_found: print("- Could not find cuDNN 5.1.") else: print("- Could not find cuDNN 6.") print(""" The GPU version of TensorFlow requires that the correct cuDNN DLL be installed in a directory that is named in your %PATH% environment variable. Note that installing...
http://stackoverflow.com/questions/33970755/tensorflow-not-using-gpu Environment info Operating System: Ubuntu 14.04 LTS Installed version of CUDA and cuDNN: (please attach the output ofls -l /path/to/cuda/lib/libcud*): -rw-r--r-- 1 root root 179466 Mar 27 16:01 /usr/local/cuda/lib...
针对你遇到的问题“tensorflow-gpu is not installable because there are no viable options”,我可以从以下几个方面来帮助你排查和解决: 确认系统环境是否支持TensorFlow-GPU安装: TensorFlow-GPU 要求系统具有 NVIDIA GPU,并且该 GPU 支持 CUDA。请确认你的系统是否满足这些条件。 操作系统通常需要是 Windows、Linux...
安装tensorflow-gpu出现的问题 1、Could not install packages due to an EnvironmentError: [Errno 13] Permission denied: '/usr/local/lib/python3.5/dist-packages/markdown' Consider using the `--user` option or check the permissions. 使用pip3 install --user tensorflow-gpu==1.8.0 命令代替 pip3 ...
print("The installed version of TensorFlow includes GPU support.") else: print("The installed version of TensorFlow does not include GPU support.") sys.exit(0) except ImportError: print("ERROR: Failed to import the TensorFlow module.") ...