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Added some adjustments for colab #2966

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merged 33 commits into from
Sep 9, 2024

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AlexejPenner
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@AlexejPenner AlexejPenner commented Aug 29, 2024

Describe changes

Colab needs to restart after pip installation of requirements.

Also changed:

python run.py --model_type=t5-small --orchestration_environment aws to
python run.py --model_type=t5-small --config_path configs/training_aws.yaml to make it more clear that this does no stack switching, instead its simply about the config file. But the best thing is, you don't need to specify the config file at all.

Added docker settings to the default config file to allow stack switching with 0 change.

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@AlexejPenner AlexejPenner requested a review from htahir1 August 29, 2024 09:41
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@github-actions github-actions bot added internal To filter out internal PRs and issues enhancement New feature or request labels Aug 29, 2024
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@htahir1 htahir1 left a comment

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One thing that really sort of sucks in colab right now as well on top of this change is that there is a pip install zenml command which restarts the environment and then a git clone command and pip install -r requirements.txt command that again restarts the env and then there is a third block that restarts the notebook explcitiy! maybe we can put it all in one block?

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One thing that really sort of sucks in colab right now as well on top of this change is that there is a pip install zenml command which restarts the environment and then a git clone command and pip install -r requirements.txt command that again restarts the env and then there is a third block that restarts the notebook explcitiy! maybe we can put it all in one block?

Yeah was thinkgin about this as well, just wondering, if we should then already ask for thetype of cloud at the very top

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htahir1 commented Aug 29, 2024

@AlexejPenner good idea!

@AlexejPenner AlexejPenner changed the title Added some adjustments for colb Added some adjustments for colab Aug 29, 2024
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@htahir1 htahir1 left a comment

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Hope its tested!

@AlexejPenner
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Hope its tested!

I will do one final sweep over all 12 supported permutations before clicking merge

so far this is promissing

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Tested the following scenarios

  • run.py, default-stack
  • run.py, aws-stack
  • run.py, gcp-stack
  • run.py, azure-stack
  • notebook, default-stack
  • notebook, aws-stack
  • notebook, gcp-stack
  • notebook, azure-stack
  • colab, default-stack
  • colab, aws-stack
  • colab, gcp-stack
  • colab, azure-stack

@AlexejPenner
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@htahir1 what do you think? merge to main and rebase of develop on top of this?

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htahir1 commented Sep 2, 2024

@AlexejPenner sure why not

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@stefannica stefannica left a comment

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Love the new feel ! Much easier to work with.

examples/quickstart/configs/training_azure.yaml Outdated Show resolved Hide resolved
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github-actions bot commented Sep 4, 2024

LLM Finetuning template updates in examples/llm_finetuning have been pushed.

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github-actions bot commented Sep 4, 2024

Classification template updates in examples/mlops_starter have been pushed.

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github-actions bot commented Sep 4, 2024

E2E template updates in examples/e2e have been pushed.

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github-actions bot commented Sep 4, 2024

NLP template updates in examples/e2e_nlp have been pushed.

@stefannica stefannica merged commit 28f81b4 into develop Sep 9, 2024
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@stefannica stefannica deleted the feature/small-quickstart-adjustments branch September 9, 2024 08:47
stefannica added a commit that referenced this pull request Sep 9, 2024
* Added some adjustments for colb

* Rehauled so  notebook execution only requires one Kernel restart

* Reformatted

* Reduced requirements.txt, made run.py clearer

* Caught hardcoded stack name, commented configs

* Formatted

* Added Model to quickstart

* Using AWS private ecr now

* Working with aws docker-free

* Reformatted

* Training step needs more memory in aws

* Simplified running from CLI

* Formated

* Applied reviews

* applied PR comments

* Applied more reviews

* Make aws actually work

* Linted

* Auto-update of LLM Finetuning template

* Auto-update of Starter template

* Auto-update of E2E template

* Auto-update of NLP template

* Switch AWS quickstart container image to the AWS production account

* Push quickstart AWS image to ECR during the release workflow

* Fix linter issues

* Fix newly introduced wandb linter error

---------

Co-authored-by: GitHub Actions <actions@github.com>
Co-authored-by: Stefan Nica <stefan@zenml.io>
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