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reduce amount of memory required for our unit tests that are run on PRs #7947

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Ghostvv opened this issue Feb 12, 2021 · 0 comments · Fixed by #8085
Closed

reduce amount of memory required for our unit tests that are run on PRs #7947

Ghostvv opened this issue Feb 12, 2021 · 0 comments · Fixed by #8085
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area:rasa-oss 🎡 Anything related to the open source Rasa framework area:rasa-oss/ml 👁 All issues related to machine learning effort:atom-squad/4 Label which is used by the Rasa Atom squad to do internal estimation of task sizes. type:maintenance 🔧 Improvements to tooling, testing, deployments, infrastructure, code style.

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@Ghostvv
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Ghostvv commented Feb 12, 2021

train_step PR #7438 is a corner stone PR that is blocking us from moving forward with implementing various features like separate validation dataset and partial dataset loading for big datasets.

The problem is that some tests in this PR fail due to OOM.

We tested individual commandsrasa train, rasa test, rasa shell individually and even though they require quite a bit of memory, they don't seem to be leaking.

@Ghostvv Ghostvv added type:enhancement ✨ Additions of new features or changes to existing ones, should be doable in a single PR area:rasa-oss 🎡 Anything related to the open source Rasa framework labels Feb 12, 2021
@TyDunn TyDunn added type:maintenance 🔧 Improvements to tooling, testing, deployments, infrastructure, code style. area:rasa-oss/ml 👁 All issues related to machine learning and removed type:enhancement ✨ Additions of new features or changes to existing ones, should be doable in a single PR labels Feb 12, 2021
@wochinge wochinge added the effort:atom-squad/4 Label which is used by the Rasa Atom squad to do internal estimation of task sizes. label Feb 12, 2021
@joejuzl joejuzl linked a pull request Mar 2, 2021 that will close this issue
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area:rasa-oss 🎡 Anything related to the open source Rasa framework area:rasa-oss/ml 👁 All issues related to machine learning effort:atom-squad/4 Label which is used by the Rasa Atom squad to do internal estimation of task sizes. type:maintenance 🔧 Improvements to tooling, testing, deployments, infrastructure, code style.
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