Skip to content

Add links to new azureML examples #2756

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
jeffra merged 3 commits into from
Jan 31, 2023
Merged

Add links to new azureML examples #2756

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
9c81c52
add example links
cassieesvelt Jan 27, 2023
45e7733
add blank line
cassieesvelt Jan 27, 2023
20c6956
Merge branch 'master' into cesvelt/azureml-examples
jeffra Jan 31, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 4 additions & 0 deletions docs/_tutorials/autotuning.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -120,3 +120,7 @@ Note that the performance metric used in autotuning is calculated using the timi
Tuning completed in 0:27:33.988447. Total number of experiments: 13.

As we can see the DeepSpeed Autotuner can select a better than hand-tuned configuration with a reasonable number of experiments. Examples in [Autotuning Hugging Face Examples](https://github.com/microsoft/DeepSpeedExamples/tree/master/autotuning/hf#autotuning-hugging-face-examples) would demonstrate the effectiveness of autotuning across different models.

### DeepSpeed Autotuning with AzureML

To try DeepSpeed autotuning with AzureML, please see the example [here](https://github.com/Azure/azureml-examples/tree/main/cli/jobs/deepspeed/deepspeed-autotuning).
4 changes: 3 additions & 1 deletion docs/_tutorials/azure.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,9 @@ If you don't already have an Azure account please see more details here: [https:

# DeepSpeed on Azure via AzureML

The recommended and simplest method to try DeepSpeed on Azure is through [AzureML](https://azure.microsoft.com/en-us/services/machine-learning/). Please take a look at easy-to-use examples for Megatron-DeepSpeed, Transformers and CIFAR training [here](https://github.com/Azure/azureml-examples/tree/main/python-sdk/workflows/train/deepspeed).
The recommended and simplest method to try DeepSpeed on Azure is through [AzureML](https://azure.microsoft.com/en-us/services/machine-learning/). A training example and a DeepSpeed autotuning example using AzureML v2 can be found [here](https://github.com/Azure/azureml-examples/tree/main/cli/jobs/deepspeed).

For AzureML v1 examples, please take a look at easy-to-use examples for Megatron-DeepSpeed, Transformers and CIFAR training [here](https://github.com/Azure/azureml-examples/tree/main/v1/python-sdk/workflows/train/deepspeed).

> Our [Megatron-DeepSpeed](https://github.com/microsoft/megatron-deepspeed) contains the most up to date [recipe](https://github.com/microsoft/Megatron-DeepSpeed/tree/main/examples/azureml) for end-to-end training on AzureML.

Expand Down