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Add MNIST dataset & drop torchvision dep. from tests #986
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Hello @awaelchli! Thanks for updating this PR. There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻 Comment last updated at 2020-03-27 22:46:44 UTC |
why is it trying to run the imagenet example? It's not part of the tests, or is it? |
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just curious, do we need all these functions/methods, I would rather use the minimal version so we do not maintain it in future...
Personally I would make simple MNIST datasets and include the to_tensor
in it (__getitem__
) so we do not need any transformers in tests (anyway we do just a few fist epochs)
Also, we can still use torchvision
in examples just adjust tests (split tests and examples, I will do :])
ok, I will try to compress everything. Most of the code is for downloading and extracting the dataset files. I didn't want to remove any tests, that's why I tried to override the imports. Maybe you go ahead and do the splitting of examples and tests first, then I will adjust my changes to that. |
Well I didn't check it in detail...
You are right, we shall not change any test, just swap dataset source lok PS: sorry for miss-click (accidentally closing, working on phone) |
@Borda I made it a lot simpler. It is not necessary to do all the data extraction that torchvision does. The MNIST class is now very simple as you wished. And I got rid of the transforms, so we can even drop the PIL requirement now. No PIL to Tensor conversions needed. Now we just need to decouple the tests from examples :) |
@awaelchli I have prepared the split, check #990 |
@Borda Great! I think yours should be merged first, because I can't make the tests pass otherwise. |
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GREAT job! Get this done as soon as possible...
Co-Authored-By: Jirka Borovec <[email protected]>
Co-Authored-By: Jirka Borovec <[email protected]>
The test failed because of this?
|
@bmartinn is there a way we can suppress such messages during test? |
We know about it... allegroai/clearml#119 |
Hi @awaelchli , as @Borda mentioned the issue is known, and a fix was already merged into the master branch. |
@Borda I see KeyBoardInterrupt in CI. Did you have that before? |
not really... |
@williamFalcon @PyTorchLightning/core-contributors lets get this done... |
* added custom mnist without torchvision dep * move files so it does not conflict with mnist gitignore * mock torchvision for tests * fix line too long * fix line too long * fix "module level import not at top of file" warning * move mock imports to __init__.py * simplify MNIST a lot and download directly the .pt files * further simplify and clean up mnist * revert import overrides * make as before * drop PIL requirement * move mnist.py to datasets subfolder * use logging instead of print * choose same name as in torchvision * remove torchvision and pillow also from yml file * refactor if train Co-Authored-By: Jirka Borovec <[email protected]> * capitalized class attr * moved mnist to models * re-added datsets ignore * better name for file variable * Update mnist.py * move dataset classes to datasets.py * new line * update * update * fix automerge * move to base folder * adapt testingmnist to new mnist base class * remove temporal fix * fix datatype * remove old testingmnist * readable * fix import * fix whitespace * docstring Co-Authored-By: Jirka Borovec <[email protected]> * Update tests/base/datasets.py Co-Authored-By: Jirka Borovec <[email protected]> * changelog * added types * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <[email protected]> * exist->isfile Co-Authored-By: Jirka Borovec <[email protected]> * index -> idx * temporary fix for trains error * better changelog message Co-authored-by: Jirka Borovec <[email protected]>
Before submitting
What does this PR do?
Fixes #942 and follow up to #990.
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