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[Train] [Tune] Refactor MLflow #20802

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merged 43 commits into from
Dec 22, 2021
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amogkam
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@amogkam amogkam commented Nov 30, 2021

Pulls out Tune's MLflow logging logic to a shared MLflow util.
Adds an MLflow logger callback to Ray Train

Closes #20642

Why are these changes needed?

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  • I've run scripts/format.sh to lint the changes in this PR.
  • I've included any doc changes needed for https://docs.ray.io/en/master/.
  • I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
  • Testing Strategy
    • Unit tests
    • Release tests
    • This PR is not tested :(

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@Yard1 Yard1 left a comment

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This looks awesome!

python/ray/util/ml_utils/mlflow.py Show resolved Hide resolved
@@ -715,7 +715,7 @@
- bazel test --config=ci $(./scripts/bazel_export_options) --build_tests_only --test_tag_filters=client_unit_tests,-gpu_only --test_env=RAY_CLIENT_MODE=1 python/ray/util/sgd/...

- label: ":octopus: Tune/SGD/Modin/Dask tests and examples. Python 3.7"
conditions: ["RAY_CI_TUNE_AFFECTED", "RAY_CI_SGD_AFFECTED"]
conditions: ["RAY_CI_TUNE_AFFECTED", "RAY_CI_TRAIN_AFFECTED"]
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Why are we removing RAY_CI_SGD_AFFECTED here?

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I don't think it was ever needed in the first place.

python/ray/train/callbacks/callback.py Outdated Show resolved Hide resolved
Comment on lines 186 to 200
Args:
tracking_uri (Optional[str]): The tracking URI for where to manage
experiments and runs. This can either be a local file path or a
remote server. This arg gets passed directly to mlflow
initialization.
registry_uri (Optional[str]): The registry URI that gets passed
directly to mlflow initialization.
experiment_id (Optional[str]): The experiment id of an already
existing experiment. If not
passed in, experiment_name will be used.
experiment_name (Optional[str]): The experiment name to use for this
Train run.
If the experiment with the name already exists with MLflow,
it will be used. If not, a new experiment will be created with
this name.
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Can you document the behavior when these are None?

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Could you elaborate more on what you'd like to see here?

There is information in the description for the arguments on the behavior if None is passed in.

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Ah, so I'm not clear from this doc what the behavior is if tracking_uri or registry_uri is None. Taking another look at the implementation and docs I now see that it's mentioned in logdir doc - it would be helpful to include this information in each of these parameter docs as well.

I also can't tell from this doc at all what happens if experiment_name is None (and the corresponding environment variable is not set). From the error message, it seems like at least experiment_name or experiment_id must be set.

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Got it, thanks for the explanation! Added it to the docstring.

python/ray/train/callbacks/logging.py Outdated Show resolved Hide resolved
python/ray/train/callbacks/logging.py Outdated Show resolved Hide resolved
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Looks great so far

.buildkite/pipeline.yml Outdated Show resolved Hide resolved
python/ray/train/callbacks/callback.py Outdated Show resolved Hide resolved
python/ray/train/callbacks/logging.py Outdated Show resolved Hide resolved
python/ray/train/trainer.py Outdated Show resolved Hide resolved
python/ray/tune/integration/mlflow.py Outdated Show resolved Hide resolved
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@amogkam
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amogkam commented Dec 4, 2021

@matthewdeng @krfricke please take another look!

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amogkam commented Dec 13, 2021

@matthewdeng can you take another look please?

Also I agree with the future TODOs you listed out. Do you want to make Github issues for them?

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Functionality LGTM!

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doc/source/train/user_guide.rst Outdated Show resolved Hide resolved
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amogkam commented Dec 22, 2021

Failing tests are unrelated, going to merge

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[Train] Add MLflow Logger Callback
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