separate requirements for logger dependencies (#792)
* added file that contains information on the minimal versions needed for the supported loggers * copied minimal version, combined files, deleted duplicates * sorted functions in tests/test_loggers.py to be consistent * expanded wandb logging test; added minimal versions for requirements-extra.txt; increased the amount of training data that is used for tests * formatting * added requirements-extra.txt to MANIFEST.in * reverted wandb test; ensured minimal version for dependencies in requirements-extra.txt in ci-testing.yml
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@ -25,6 +25,7 @@ jobs:
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if: matrix.requires == 'minimal'
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run: |
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python -c "req = open('requirements.txt').read().replace('>', '=') ; open('requirements.txt', 'w').write(req)"
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python -c "req = open('requirements-extra.txt').read().replace('>', '=') ; open('requirements-extra.txt', 'w').write(req)"
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- name: Cache pip
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uses: actions/cache@v1
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@ -29,6 +29,7 @@ recursive-include docs/source/_static/images/ lightning_logo* pl_overview* tf_*
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# Include the Requirements
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include requirements.txt
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include requirements-extra.txt
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# Exclude build configs
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exclude *.yml
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@ -0,0 +1,5 @@
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neptune-client>=0.4.4
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comet-ml>=1.0.56
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mlflow>=1.0.0
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test_tube>=0.7.5
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wandb>=0.8.21
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@ -7,11 +7,6 @@ pytest-cov
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pytest-flake8
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flake8
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check-manifest
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test-tube>=0.7.5
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mlflow
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comet_ml
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wandb
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sacred
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neptune-client
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twine==1.13.0
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pillow<7.0.0
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-r ../requirements-extra.txt
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@ -29,7 +29,7 @@ def test_testtube_logger(tmpdir):
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trainer_options = dict(
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default_save_path=tmpdir,
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max_epochs=1,
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train_percent_check=0.01,
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train_percent_check=0.05,
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logger=logger
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)
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@ -53,7 +53,7 @@ def test_testtube_pickle(tmpdir):
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trainer_options = dict(
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default_save_path=tmpdir,
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max_epochs=1,
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train_percent_check=0.01,
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train_percent_check=0.05,
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logger=logger
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)
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@ -76,7 +76,7 @@ def test_mlflow_logger(tmpdir):
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trainer_options = dict(
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default_save_path=tmpdir,
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max_epochs=1,
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train_percent_check=0.01,
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train_percent_check=0.05,
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logger=logger
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)
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trainer = Trainer(**trainer_options)
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@ -132,7 +132,7 @@ def test_comet_logger(tmpdir, monkeypatch):
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trainer_options = dict(
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default_save_path=tmpdir,
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max_epochs=1,
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train_percent_check=0.01,
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train_percent_check=0.05,
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logger=logger
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)
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@ -182,7 +182,16 @@ def test_wandb_logger(tmpdir):
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tutils.reset_seed()
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wandb_dir = os.path.join(tmpdir, "wandb")
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_ = WandbLogger(save_dir=wandb_dir, anonymous=True)
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_ = WandbLogger(save_dir=wandb_dir, anonymous=True, offline=True)
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def test_wandb_pickle(tmpdir):
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"""Verify that pickling trainer with wandb logger works."""
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tutils.reset_seed()
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wandb_dir = str(tmpdir)
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logger = WandbLogger(save_dir=wandb_dir, anonymous=True, offline=True)
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assert logger is not None
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def test_neptune_logger(tmpdir):
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@ -196,7 +205,7 @@ def test_neptune_logger(tmpdir):
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trainer_options = dict(
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default_save_path=tmpdir,
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max_epochs=1,
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train_percent_check=0.01,
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train_percent_check=0.05,
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logger=logger
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)
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trainer = Trainer(**trainer_options)
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@ -206,15 +215,6 @@ def test_neptune_logger(tmpdir):
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assert result == 1, "Training failed"
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def test_wandb_pickle(tmpdir):
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"""Verify that pickling trainer with wandb logger works."""
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tutils.reset_seed()
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wandb_dir = str(tmpdir)
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logger = WandbLogger(save_dir=wandb_dir, anonymous=True)
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assert logger is not None
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def test_neptune_pickle(tmpdir):
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"""Verify that pickling trainer with neptune logger works."""
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tutils.reset_seed()
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