Fix wandb test writing artifacts to cwd (#15551)
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@ -198,7 +198,7 @@ def test_wandb_log_model(wandb, monkeypatch, tmpdir):
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model = BoringModel()
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# test log_model=True
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logger = WandbLogger(log_model=True)
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logger = WandbLogger(save_dir=tmpdir, log_model=True)
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logger.experiment.id = "1"
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logger.experiment.name = "run_name"
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trainer = Trainer(default_root_dir=tmpdir, logger=logger, max_epochs=2, limit_train_batches=3, limit_val_batches=3)
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@ -208,7 +208,7 @@ def test_wandb_log_model(wandb, monkeypatch, tmpdir):
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# test log_model='all'
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wandb.init().log_artifact.reset_mock()
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wandb.init.reset_mock()
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logger = WandbLogger(log_model="all")
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logger = WandbLogger(save_dir=tmpdir, log_model="all")
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logger.experiment.id = "1"
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logger.experiment.name = "run_name"
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trainer = Trainer(default_root_dir=tmpdir, logger=logger, max_epochs=2, limit_train_batches=3, limit_val_batches=3)
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@ -218,7 +218,7 @@ def test_wandb_log_model(wandb, monkeypatch, tmpdir):
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# test log_model=False
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wandb.init().log_artifact.reset_mock()
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wandb.init.reset_mock()
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logger = WandbLogger(log_model=False)
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logger = WandbLogger(save_dir=tmpdir, log_model=False)
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logger.experiment.id = "1"
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logger.experiment.name = "run_name"
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trainer = Trainer(default_root_dir=tmpdir, logger=logger, max_epochs=2, limit_train_batches=3, limit_val_batches=3)
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@ -229,7 +229,7 @@ def test_wandb_log_model(wandb, monkeypatch, tmpdir):
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wandb.init().log_artifact.reset_mock()
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wandb.init.reset_mock()
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wandb.Artifact.reset_mock()
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logger = WandbLogger(log_model=True)
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logger = WandbLogger(save_dir=tmpdir, log_model=True)
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logger.experiment.id = "1"
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logger.experiment.name = "run_name"
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trainer = Trainer(default_root_dir=tmpdir, logger=logger, max_epochs=2, limit_train_batches=3, limit_val_batches=3)
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@ -265,7 +265,7 @@ def test_wandb_log_model_with_score(wandb, monkeypatch, tmpdir):
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wandb.init().log_artifact.reset_mock()
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wandb.init.reset_mock()
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wandb.Artifact.reset_mock()
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logger = WandbLogger(log_model=True)
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logger = WandbLogger(save_dir=tmpdir, log_model=True)
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logger.experiment.id = "1"
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logger.experiment.name = "run_name"
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checkpoint_callback = ModelCheckpoint(monitor="step")
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