Background:
Created a ready made reference to address: How do I find out what packages are pre-installed in the cloud machine?
Cloud machines are configured in a simple way with only what is needed to run the scripts in the framework of choice.
Issue:
Not efficient for each new users to run a script when this could be done for all users as a reference material.
Desired outcome:
For each framework lightning|torch|tensorflow|Julia|torchelastic.
- frameworks/lightning.md
- frameworks/torch.md
- frameworks/tensorflow.md
- frameworks/torchelastic.md
Perhaps follow the categories from GitHub Actions Virtual Environment as a template. The following are minimum information to capture.
Solution Approach:
Use Github Actions https://docs.github.com/en/actions/learn-github-actions/understanding-github-actions
When:
once a week (run Sunday)
Where:
Standard_DS2_v2 virtual machines in Microsoft Azure is used to run the test. About GitHub-hosted runners has more info.
| Size |
vCPU |
Memory: GiB |
Temp storage (SSD) GiB |
Max data disks |
Max cached and temp storage throughput: IOPS/MBps (cache size in GiB) |
Max uncached disk throughput: IOPS/MBps |
Max NICs |
Expected network bandwidth (Mbps) |
| Standard_DS2_v2 |
2 |
7 |
14 |
8 |
8000/64 (86) |
6400/96 |
2 |
1500 |
Security:
Grid.ai API is in github secrets. (Register all secrets used within workflows).[https://docs.github.com/en/actions/security-guides/security-hardening-for-github-actions]
Defined the following repository secret
- GRIDAI_USERNAME
- GRIDAI_KEY
- GRIDAI_URL
Background:
Created a ready made reference to address: How do I find out what packages are pre-installed in the cloud machine?
Cloud machines are configured in a simple way with only what is needed to run the scripts in the framework of choice.
Issue:
Not efficient for each new users to run a script when this could be done for all users as a reference material.
Desired outcome:
For each framework lightning|torch|tensorflow|Julia|torchelastic.
Perhaps follow the categories from GitHub Actions Virtual Environment as a template. The following are minimum information to capture.
Solution Approach:
Use Github Actions https://docs.github.com/en/actions/learn-github-actions/understanding-github-actions
When:
once a week (run Sunday)
Where:
Standard_DS2_v2 virtual machines in Microsoft Azure is used to run the test. About GitHub-hosted runners has more info.
Security:
Grid.ai API is in github secrets. (Register all secrets used within workflows).[https://docs.github.com/en/actions/security-guides/security-hardening-for-github-actions]
Defined the following repository secret