操作指南

 

附表2

更新时间 2020-12-01

TensorFlow 安装包下载

深度学习框架 Python 版本 TensorFlow 版本 下载地址
CUDA 9.1 2.7 1.6.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.6.0/cuda9.1/tensorflow-1.6.0-cp27-cp27mu-linux_x86_64.whl
CUDA 9.1 3.6 1.6.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.6.0/cuda9.1/tensorflow-1.6.0-cp36-cp36m-linux_x86_64.whl
CUDA 9.1 2.7 1.7.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.7.0/gpu/tensorflow-1.7.0-cp27-cp27mu-linux_x86_64.whl
CUDA 9.1 3.6 1.7.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.7.0/gpu/tensorflow-1.7.0-cp36-cp36m-linux_x86_64.whl
CUDA 9.1 2.7 1.8.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.8.0/gpu/tensorflow-1.8.0-cp27-cp27mu-linux_x86_64.whl
CUDA 9.1 3.6 1.8.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.8.0/gpu/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
CUDA 9.1 2.7 1.9.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.9.0/gpu/tensorflow-1.9.0-cp27-cp27mu-linux_x86_64.whl
CUDA 9.1 3.6 1.9.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.9.0/gpu/tensorflow-1.9.0-cp36-cp36m-linux_x86_64.whl
CUDA 9.1 2.7 1.10.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.10.0/gpu/tensorflow-1.10.0-cp27-cp27mu-linux_x86_64.whl
CUDA 9.1 3.6 1.10.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.10.0/gpu/tensorflow-1.10.0-cp36-cp36m-linux_x86_64.whl
CUDA 9.1 2.7 1.11.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.11.0/gpu/tensorflow-1.11.0-cp27-cp27mu-linux_x86_64.whl
CUDA 9.1 3.6 1.11.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.11.0/gpu/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl
CUDA 9.1 2.7 1.12.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.12.0/gpu/tensorflow-1.12.0-cp27-cp27mu-linux_x86_64.whl
CUDA 9.1 3.6 1.12.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.12.0/gpu/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl
CUDA 8.0 2.7 1.6.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.6.0/cuda8.0/tensorflow-1.6.0-cp27-cp27mu-linux_x86_64.whl
CUDA 8.0 3.6 1.6.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.6.0/cuda8.0/tensorflow-1.6.0-cp36-cp36m-linux_x86_64.whl
CPU 2.7 1.6.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.6.0/cpu/tensorflow-1.6.0-cp27-cp27mu-linux_x86_64.whl
CPU 3.6 1.6.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.6.0/cpu/tensorflow-1.6.0-cp36-cp36m-linux_x86_64.whl
CPU 2.7 1.7.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.7.0/cpu/tensorflow-1.7.0-cp27-cp27mu-linux_x86_64.whl
CPU 3.6 1.7.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.7.0/cpu/tensorflow-1.7.0-cp36-cp36m-linux_x86_64.whl
CPU 2.7 1.8.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.8.0/cpu/tensorflow-1.8.0-cp27-cp27mu-linux_x86_64.whl
CPU 3.6 1.8.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.8.0/cpu/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
CPU 2.7 1.9.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.9.0/cpu/tensorflow-1.9.0-cp27-cp27mu-linux_x86_64.whl
CPU 3.6 1.9.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.9.0/cpu/tensorflow-1.9.0-cp36-cp36m-linux_x86_64.whl
CPU 2.7 1.10.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.10.0/cpu/tensorflow-1.10.0-cp27-cp27mu-linux_x86_64.whl
CPU 3.6 1.10.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.10.0/cpu/tensorflow-1.10.0-cp36-cp36m-linux_x86_64.whl
CPU 2.7 1.11.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.11.0/cpu/tensorflow-1.11.0-cp27-cp27mu-linux_x86_64.whl
CPU 3.6 1.11.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.11.0/cpu/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl
CPU 2.7 1.12.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.12.0/cpu/tensorflow-1.12.0-cp27-cp27mu-linux_x86_64.whl
CPU 3.6 1.12.0 https://appcenter-deeplearning.sh1a.qingstor.com/tensorflow/1.12.0/cpu/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl

docker 镜像获取命令

框架版本 Python 版本 CUDA 版本 image 获取命令
deeplearning1.0 2.7 9.1 docker pull qingcloud/deeplearning:1.0-py27-cu91-cudnn7.1
deeplearning1.0 2.7 - docker pull qingcloud/deeplearning:1.0-py27-cpu
deeplearning1.0 2.7 - docker pull qingcloud/deeplearning:1.0-py27-cpu-avx
deeplearning1.0 2.7 - docker pull qingcloud/deeplearning:1.0-py27-cpu-avx2-mkldnn
caffe1.0 3.6 - docker pull qingcloud/caffe:1.0-bvlc-py36-cpu
caffe1.0 2.7 - docker pull qingcloud/caffe:1.0-bvlc-py27-cpu
caffe1.0 3.6 9.1 docker pull qingcloud/caffe:1.0-bvlc-py36-cu91-cudnn7.1
caffe1.0 3.6 8.0 docker pull qingcloud/caffe:1.0-bvlc-py36-cu80-cudnn7.1
caffe1.0 2.7 9.1 docker pull qingcloud/caffe:1.0-bvlc-py27-cu91-cudnn7.1
caffe1.0 2.7 8.0 docker pull qingcloud/caffe:1.0-bvlc-py27-cu80-cudnn7.1
pytorch0.4.0 3.6 9.1 docker pull qingcloud/pytorch:0.4.0-py36-cpu-cu91-cudnn7.1
pytorch0.4.1 3.6 8.0 docker pull qingcloud/pytorch:0.4.1-py36-cpu-cu80-cudnn7.1
pytorch0.4.1 2.7 9.1 docker pull qingcloud/pytorch:0.4.1-py27-cpu-cu91-cudnn7.1
pytorch0.4.1 2.7 8.0 docker pull qingcloud/pytorch:0.4.1-py27-cpu-cu80-cudnn7.1
keras2.2 3.6 9.1 docker pull qingcloud/keras:2.2-tf1.8-py36-cu91-cudnn7.1
keras2.2 2.7 9.1 docker pull qingcloud/keras:2.2-tf1.8-py27-cu91-cudnn7.1
keras2.2 3.6 - docker pull qingcloud/keras:2.2-tf1.8-py36-cpu
keras2.2 2.7 - docker pull qingcloud/keras:2.2-tf1.8-py27-cpu
tensorflow1.9 3.6 9.1 docker pull qingcloud/tensorflow:1.9-py36-cu91-cudnn7.1
tensorflow1.9 2.7 9.1 docker pull qingcloud/tensorflow:1.9-py27-cu91-cudnn7.1
tensorflow1.9 3.6 - docker pull qingcloud/tensorflow:1.9-py36-cpu
tensorflow1.9 2.7 - docker pull qingcloud/tensorflow:1.9-py27-cpu
tensorflow1.8 3.6 9.1 docker pull qingcloud/tensorflow:1.8-py36-cu91-cudnn7.1
tensorflow1.8 2.7 9.1 docker pull qingcloud/tensorflow:1.8-py27-cu91-cudnn7.1
tensorflow1.8 3.6 - docker pull qingcloud/tensorflow:1.8-py36-cpu
tensorflow1.8 2.7 - docker pull qingcloud/tensorflow:1.8-py27-cpu
tensorflow1.7 3.6 9.1 docker pull qingcloud/tensorflow:1.7-py36-cu91-cudnn7.1
tensorflow1.7 2.7 9.1 docker pull qingcloud/tensorflow:1.7-py27-cu91-cudnn7.1
tensorflow1.7 3.6 - docker pull qingcloud/tensorflow:1.7-py36-cpu
tensorflow1.7 2.7 - docker pull qingcloud/tensorflow:1.7-py27-cpu
tensorflow1.6 3.6 9.1 docker pull qingcloud/tensorflow:1.6-py36-cu91-cudnn7.1
tensorflow1.6 3.6 8.0 docker pull qingcloud/tensorflow:1.6-py36-cu80-cudnn7.1
tensorflow1.6 2.7 9.1 docker pull qingcloud/tensorflow:1.6-py27-cu91-cudnn7.1
tensorflow1.6 2.7 8.0 docker pull qingcloud/tensorflow:1.6-py27-cu80-cudnn7.1
tensorflow1.6 3.6 - docker pull qingcloud/tensorflow:1.6-py36-cpu
tensorflow1.6 2.7 - docker pull qingcloud/tensorflow:1.6-py27-cpu

CPU 容器版镜像与 CPU 微架构适配表

Intel CPU 微架构 AVX2 和 MKLDNN 优化版 AVX 优化版 无优化版
平台默认 不支持 不支持 支持
Westmere 不支持 不支持 支持
SandyBridge 不支持 支持 支持
IvyBridge 不支持 支持 支持
Haswell 支持 支持 支持
Broadwell 支持 支持 支持
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