8d6648e51d
Update README.md
2019-09-02 07:15:45 -04:00
9e6ce3b0d6
testing loop docs
2019-09-02 07:15:45 -04:00
a327596b79
add training loop docs
2019-09-02 07:15:45 -04:00
08a1ae8069
release v0.4.8
2019-09-02 07:15:45 -04:00
25d5b25792
Expectopatronum implement #89 ( #182 )
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* rename validate -> evaluate; implement test logic; allow multiple test_loaders
* add test_step and test_end to LightningModule
* add in_test_mode to pretraining to implement case 2 (test pretrained model)
* fix code style issues
* LightningTestModel: add optional second test set, implement test_step and test_end
* implemented test for multiple test_dataloaders; fixed typo
* add two test cases for #89
* add documentation for test_step, test_end; fix computation of loss in validation_step example
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Added proper dp ddp routing calls for test mode
* Update trainer.py
* Update test_models.py
* Update trainer.py
* Update trainer.py
* Update override_data_parallel.py
* Update test_models.py
* Update test_models.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update test_models.py
* Update test_models.py
* debug
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* Update trainer.py
* Update override_data_parallel.py
* Update debug.py
* Update lm_test_module.py
* Update test_models.py
2019-09-02 07:15:27 -04:00
73cf47112e
Gradient accumulation callback ( #150 )
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* Gradient accumulation callback
* little test case
* typo
* import fix
* method name fix
* fix epochs indexing from 1
* better code style
* code style fix v2 :/
* change interface
* fix Trainre new api in tests
* trainer api bug fix
* new raising error, new update method
* extentions tests
* a little better tests
* typo fix
* flack8 better
* using scheduler for int and dict
* typo
* firs epoch bug fix
* test update
* empty dict exception
* floats check
* codestyle fix
* grad counting test
* someday, i will install normal linter
* add more checks
* Update test_models.py
* Update test_models.py
* Update test_models.py
* Update test_models.py
* Update test_models.py
* Update test_models.py
* Update test_models.py
2019-08-30 10:56:14 -04:00
c2247350bb
feat(val_sanity): enable skipping validation sanity ( #176 )
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* feat(val_sanity): enable skipping validation sanity when self.nb_sanity_val_steps is 0
* docs: elaborate on skipping
2019-08-28 06:41:31 -04:00
67c314272b
Update setup.py ( #174 )
2019-08-27 18:07:33 -04:00
da4c1e3409
docs: add repo_name in the upright corner ( #171 )
2019-08-27 16:46:18 -04:00
cd89b4ef43
move GH docs ( #168 )
2019-08-27 07:10:26 -04:00
6eb6daa278
enable highlight ( #170 )
2019-08-27 07:09:46 -04:00
c24599f5e5
release v
2019-08-24 08:13:54 -04:00
b22e5918a9
fix python syntax in code blocks to be consistent ( #166 )
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A couple code blocks used "{.python}" instead of just "python" for the syntax highlighting, which doesn't render properly in GitHub markdown.
2019-08-23 21:24:18 -04:00
4104a0fc47
cleaned up progbar ( #165 )
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* cleaned up progbar
* cleaned up progbar
* cleaned up progbar
* cleaned up progbar
* cleaned up progbar
* cleaned up progbar
* cleaned up progbar
* updated base files
* updated base files
* updated base files
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* updated base files
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* updated base files
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* updated base files
* updated base files
* updated base files
* updated base files
* flake 8
2019-08-23 21:23:27 -04:00
2ad9a9708b
Update README.md
2019-08-23 16:10:45 -04:00
ecce22f4de
Update README.md
2019-08-23 16:10:24 -04:00
b31539f62e
Guard against AttributeError in dataloaders. ( #161 )
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A solution for https://github.com/williamFalcon/pytorch-lightning/issues/142 .
Since hasattr "calls getattr(object, name) and to see whether it raises an AttributeError or not", I replaced it with a single call to getattr.
See also https://stackoverflow.com/questions/24971061/python-hasattr-vs-getattr
2019-08-23 08:21:39 -04:00
cbb9821d9b
Cleaned up val/tng/test nb batches ( #163 )
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Set all to be 0 instead of None.
Cleaned up val batch
2019-08-23 07:42:17 -04:00
a1490e993a
Update README.md
2019-08-23 03:46:27 -04:00
77d085134b
Update README.md
2019-08-23 03:45:14 -04:00
c30f69f60d
Update lightning_module_template.py
2019-08-23 02:42:40 -04:00
d5d47eab0d
Update lightning_module_template.py
2019-08-23 02:39:05 -04:00
9fc66026f1
train = False in test_dataloader ( #162 )
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A small change to the CoolModel example.
Now test_dataloader returns the MNIST test dataset.
2019-08-22 17:44:06 -04:00
4a0b56755c
bug fix for #157 ( #158 )
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* Separate condition list/tuple case into separated cases
* Add test for tuple of tensor list and list of tensor dict
* Update test_models.py
2019-08-21 10:22:51 -04:00
55a804b7cf
fixes #154 ( #155 )
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* fixes #154
* Update trainer.py
* Update trainer.py
2019-08-20 16:59:26 -04:00
7119ec1693
Update CONTRIBUTING.md
2019-08-20 09:51:11 -04:00
5b694c7e0e
bug fix for #138 ( #143 )
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* bug fix for #138
* split if for readability
2019-08-19 15:03:04 -04:00
4bdb976284
Set val_check_interval default to 1.0. ( #145 )
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See discussion in https://github.com/williamFalcon/pytorch-lightning/issues/139 .
2019-08-19 10:42:08 -04:00
4ad4588122
Update README.md
2019-08-19 07:22:02 -04:00
ac8186cb3c
Update README.md
2019-08-19 07:20:10 -04:00
dbbbba35c9
add Codecov info ( #144 )
2019-08-19 06:35:09 -04:00
f2a02881e3
Update README.md
2019-08-18 19:17:25 -04:00
e8c423a3b0
Update README.md
2019-08-18 19:16:57 -04:00
73b70584e7
Update README.md
2019-08-18 19:16:25 -04:00
736cf9b162
Update README.md
2019-08-18 19:16:09 -04:00
5771583c9d
Update README.md
2019-08-18 19:15:41 -04:00
64503f0d5e
Update README.md
2019-08-18 19:15:09 -04:00
504418d157
Update README.md
2019-08-18 19:05:13 -04:00
ad61b03fe9
Update README.md
2019-08-18 18:51:47 -04:00
a7a14dadb6
F.cross_entropy(y_hat, y)(y_hat, y) typo. ( #137 )
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This seems to be a typo. Throws TypeError: 'Tensor' object is not callable.
2019-08-18 18:17:43 -04:00
b2a49197e4
tensorboarX to tensorboardX ( #136 )
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* tensorboarX to tensorboardX
* Update properties.md
2019-08-18 18:17:05 -04:00
23a4421595
Removed redundant line. ( #140 )
2019-08-18 18:16:30 -04:00
26d3f0dbea
Error if dataset size = 1 batch. ( #141 )
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Fix for the bug mentioned in https://github.com/williamFalcon/pytorch-lightning/issues/139
2019-08-18 18:15:58 -04:00
e646d745da
use val_percent_check in validation step ( #135 )
2019-08-18 11:02:28 -04:00
9aa9a1a796
Update lightning_module_template.py
2019-08-17 11:11:07 -04:00
48de39ed50
elaborate on the correlation between overfit_pct and xxx_percent_check ( #132 )
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* Update Training Loop.md
* update docs and elaborate on the correlation
2019-08-17 10:23:25 -04:00
1a31782272
fixed str crash err
2019-08-17 10:20:58 -04:00
24a97956e4
fix typo in docs ( #129 )
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* fix typo
* fix typo
* fix typo
* fix list
2019-08-17 07:48:33 -04:00
1b7d66d089
Merge branch 'master' of https://github.com/williamFalcon/pytorch-lightning
2019-08-16 17:14:40 -04:00
e60e002f17
updated docs
2019-08-16 17:14:31 -04:00
William Falcon