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Can not use Trainer.test() if train and val dataloaders are not defined #1857

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Varal7 opened this issue May 16, 2020 · 3 comments 路 Fixed by #1858
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Can not use Trainer.test() if train and val dataloaders are not defined #1857

Varal7 opened this issue May 16, 2020 · 3 comments 路 Fixed by #1858
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bug Something isn't working help wanted Open to be worked on

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@Varal7
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Varal7 commented May 16, 2020

馃悰 Bug

When the model does not define train_dataloader and no val_dataloader, we can not use trainer.test(model, test_dataloaders=test_dl).
The configuration checks fail with a MisconfigurationException.

Code sample

model = ...  # a model with no `train_dataloader`, `val_dataloader` defined
test_dl = ... # a dataloader
trainer = pl.Trainer()
trainer.test(model, test_dataloaders=test_dl)

Expected behavior

We expect the testing loop to execute.
@Varal7 Varal7 added bug Something isn't working help wanted Open to be worked on labels May 16, 2020
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Hi! thanks for your contribution!, great first issue!

Varal7 added a commit to Varal7/pytorch-lightning that referenced this issue May 16, 2020
@Varal7
fix trainer.test()
9839bc6 
Fixes Lightning-AI#1857
@Varal7 Varal7 mentioned this issue May 16, 2020
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@Varal7
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Varal7 commented May 17, 2020

Whoops, sorry I tried searching for the issue / PR but couldn't find the relevant ones. Looks like there are already good ideas in #1804, #1720, #1754, #1804.

@williamFalcon
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Fixed in #1804

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add test for trainer.test() Varal7/pytorch-lightning
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@williamFalcon @Varal7