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add python 3.8 testing (#915)
* add python 3.8 test * update info * py38 >> torch 1.2 * skip py38 minimal * changelog Co-authored-by: William Falcon <waf2107@columbia.edu>
This commit is contained in:
Jirka Borovec
co-authored by
William Falcon
William Falcon
parent
2912239fe6
commit
e73dcb8cbe
@@ -20,8 +20,12 @@ jobs:
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# max-parallel: 6
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matrix:
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os: [ubuntu-18.04, windows-2016, macOS-10.15]
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python-version: [3.6, 3.7]
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python-version: [3.6, 3.7, 3.8]
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requires: ['minimal', 'latest']
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exclude:
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# excludes node 4 on macOS
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- python-version: 3.8
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requires: 'minimal'
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# Timeout: https://stackoverflow.com/a/59076067/4521646
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timeout-minutes: 20
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+1
-1
@@ -10,7 +10,7 @@ pull_request_rules:
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# no requested chnages from any reviewer
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- "#changes-requested-reviews-by=0"
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# this serves as ALL check has to pass as we have actually 27 tests in total
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- "#status-success>=27"
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- "#status-success>=30"
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# this is just in case since we rely on GPU tests (note: redundand to the above)
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- status-success=continuous-integration/drone/pr
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# this is patter-like, unofrunatly serves as `any(...)` (note: redundand to the above)
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+9
-6
@@ -16,11 +16,17 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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- Added support for `IterableDataset` in validation and testing ([#1104](https://github.com/PyTorchLightning/pytorch-lightning/pull/1104))
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- Added support for non-primitive types in `hparams` for `TensorboardLogger` ([#1130](https://github.com/PyTorchLightning/pytorch-lightning/pull/1130))
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- Added a check that stops the training when loss or weights contain `NaN` or `inf` values. ([#1097](https://github.com/PyTorchLightning/pytorch-lightning/pull/1097))
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- Updated references to self.forward() to instead use the `__call__` interface. ([#1211](https://github.com/PyTorchLightning/pytorch-lightning/pull/1211))
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- Added option to run without an optimizer by returning `None` from `configure_optimizers`. ([#1279](https://github.com/PyTorchLightning/pytorch-lightning/pull/1279))
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- Updated references to `self.forward()` to instead use the `__call__` interface. ([#1211](https://github.com/PyTorchLightning/pytorch-lightning/pull/1211))
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- Added support for `IterableDataset` when `val_check_interval=1.0` (default), this will trigger validation at the end of each epoch. ([#1283](https://github.com/PyTorchLightning/pytorch-lightning/pull/1283))
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- Added `summary` method to Profilers. ([#1259](https://github.com/PyTorchLightning/pytorch-lightning/pull/1259))
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- Added informative errors if user defined dataloader has zero length ([#1280](https://github.com/PyTorchLightning/pytorch-lightning/pull/1280))
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- Added testing for python 3.8 ([#915](https://github.com/PyTorchLightning/pytorch-lightning/pull/915))
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### Changed
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- Enhanced `load_from_checkpoint` to also forward params to the model ([#1307](https://github.com/PyTorchLightning/pytorch-lightning/pull/1307))
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- Updated references to self.forward() to instead use the `__call__` interface. ([#1211](https://github.com/PyTorchLightning/pytorch-lightning/pull/1211))
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- Added option to run without an optimizer by returning `None` from `configure_optimizers`. ([#1279](https://github.com/PyTorchLightning/pytorch-lightning/pull/1279))
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- Changed default behaviour of `configure_optimizers` to use no optimizer rather than Adam. ([#1279](https://github.com/PyTorchLightning/pytorch-lightning/pull/1279))
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- Added support for optimizer frequencies through `LightningModule.configure_optimizers()` ([#1269](https://github.com/PyTorchLightning/pytorch-lightning/pull/1269))
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- Added support for `IterableDataset` when `val_check_interval=1.0` (default), this will trigger validation at the end of each epoch. ([#1283](https://github.com/PyTorchLightning/pytorch-lightning/pull/1283))
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@@ -28,9 +34,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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- Added informative errors if user defined dataloader has zero length ([#1280](https://github.com/PyTorchLightning/pytorch-lightning/pull/1280))
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- Allow to upload models on W&B ([#1339](https://github.com/PyTorchLightning/pytorch-lightning/pull/1339))
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- Added model configuration checking ([#1199](https://github.com/PyTorchLightning/pytorch-lightning/pull/1199))
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### Changed
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- On DP and DDP2 unsqueeze is automated now ([#1319](https://github.com/PyTorchLightning/pytorch-lightning/pull/1319))
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- Does not interfere with a default sampler ([#1318](https://github.com/PyTorchLightning/pytorch-lightning/pull/1318))
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- Enhanced load_from_checkpoint to also forward params to the model ([#1307](https://github.com/PyTorchLightning/pytorch-lightning/pull/1307))
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@@ -43,7 +46,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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### Removed
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- Removed duplicated module `pytorch_lightning.utilities.arg_parse` for loading CLI arguments ([#1167](https://github.com/PyTorchLightning/pytorch-lightning/issues/1167))
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- Removed wandb logger's finalize ([#1193](https://github.com/PyTorchLightning/pytorch-lightning/pull/1193))
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- Removed wandb logger's `finalize` method ([#1193](https://github.com/PyTorchLightning/pytorch-lightning/pull/1193))
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- Dropped `torchvision` dependency in tests and added own MNIST dataset class instead ([#986](https://github.com/PyTorchLightning/pytorch-lightning/issues/986))
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### Fixed
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@@ -31,9 +31,9 @@ removed until codecov badge isn't empy. likely a config error showing nothing on
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| :---: | :---: | :---: | :---: | :---: |
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| Linux py3.6 [CPU] | [](https://circleci.com/gh/PyTorchLightning/pytorch-lightning) | [](https://circleci.com/gh/PyTorchLightning/pytorch-lightning) | [](https://circleci.com/gh/PyTorchLightning/pytorch-lightning) | [](https://circleci.com/gh/PyTorchLightning/pytorch-lightning) |
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| Linux py3.7 [GPU] | <center>—</center> | <center>—</center> | <center>—</center> | [](http://35.192.60.23/PyTorchLightning/pytorch-lightning) |
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| Linux py3.6 / py3.7 | [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) | <center>—</center> | <center>—</center> | [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) |
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| OSX py3.6 / py3.7| [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) | <center>—</center> | <center>—</center> | [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) |
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| Windows py3.6 / py3.7 | [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) | <center>—</center> | <center>—</center> | [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) |
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| Linux py3.6 / py3.7 / py3.8 | [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) | <center>—</center> | <center>—</center> | [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) |
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| OSX py3.6 / py3.7 / py3.8| [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) | <center>—</center> | <center>—</center> | [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) |
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| Windows py3.6 / py3.7 / py3.8 | [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) | <center>—</center> | <center>—</center> | [](https://github.com/PyTorchLightning/pytorch-lightning/actions?query=workflow%3A%22CI+testing%22) |
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</center>
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