general/occlum
4
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Upgrade the version of Occlum docker image in README.md

Browse Source
This commit is contained in:
SteNicholas 2021-06-21 14:05:33 +08:00 committed by Zongmin.Gu
parent fca3871a34
commit 6c57834b8a
2 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
demos/python/python_glibc/README.md
View File

@ -10,12 +10,12 @@ To make the sample code more realistic, we choose to write a Python program that
This tutorial is written under the assumption that you have Docker installed and use Occlum in a Docker container.
Occlum is compatible with glibc-supported Python, we employ miniconda as python installation tool. You can import any python dependencies using conda. Here, miniconda is automatically installed by install_python_with_conda.sh script, the required python and related dependencies for this project are also loaded by this script. Here, we take occlum/occlum:0.22.0-ubuntu18.04 as example.
Occlum is compatible with glibc-supported Python, we employ miniconda as python installation tool. You can import any python dependencies using conda. Here, miniconda is automatically installed by install_python_with_conda.sh script, the required python and related dependencies for this project are also loaded by this script. Here, we take occlum/occlum:0.23.0-ubuntu18.04 as example.
Step 1 (on the host): Start an Occlum container
```
docker pull occlum/occlum:0.22.0-ubuntu18.04
docker run -it --name=pythonDemo --device /dev/sgx/enclave occlum/occlum:0.22.0-ubuntu18.04 bash
docker pull occlum/occlum:0.23.0-ubuntu18.04
docker run -it --name=pythonDemo --device /dev/sgx/enclave occlum/occlum:0.23.0-ubuntu18.04 bash
```
Step 2 (on the host): Download miniconda and install python to prefix position.

6
demos/pytorch/README.md
View File

@ -10,12 +10,12 @@ Use the nn package to define our model as a sequence of layers. nn.Sequential is
This tutorial is written under the assumption that you have Docker installed and use Occlum in a Docker container.
Occlum is compatible with glibc-supported Python, we employ miniconda as python installation tool. You can import PyTorch packages using conda. Here, miniconda is automatically installed by install_python_with_conda.sh script, the required python and PyTorch packages for this project are also loaded by this script. Here, we take occlum/occlum:0.22.0-ubuntu18.04 as example.
Occlum is compatible with glibc-supported Python, we employ miniconda as python installation tool. You can import PyTorch packages using conda. Here, miniconda is automatically installed by install_python_with_conda.sh script, the required python and PyTorch packages for this project are also loaded by this script. Here, we take occlum/occlum:0.23.0-ubuntu18.04 as example.
Step 1 (on the host): Start an Occlum container
```
docker pull occlum/occlum:0.22.0-ubuntu18.04
docker run -it --name=pythonDemo --device /dev/sgx/enclave occlum/occlum:0.22.0-ubuntu18.04 bash
docker pull occlum/occlum:0.23.0-ubuntu18.04
docker run -it --name=pythonDemo --device /dev/sgx/enclave occlum/occlum:0.23.0-ubuntu18.04 bash
```
Step 2 (on the host): Download miniconda and install python to prefix position.