mirror of
https://github.com/wassname/pytorch-lightning.git
synced 2026-09-09 11:32:07 +08:00
fix missing PyPI images & CI badges (#853)
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@@ -32,6 +32,13 @@ references:
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pip install --editable . ; cd .. & python -c "import pytorch_lightning ; print(pytorch_lightning.__version__)"
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deactivate ; rm -rf vEnv
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create_pkg: &create_pkg
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run:
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name: Create package
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command: |
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python setup.py sdist
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twine check dist/*
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format: &format
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run:
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name: Formatting
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@@ -117,6 +124,7 @@ jobs:
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- image: circleci/python:3.7
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steps:
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- checkout
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- *create_pkg
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- *install_pkg
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@@ -25,6 +25,7 @@ exclude tests
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# Exclude the documentation files
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recursive-exclude docs *
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exclude docs
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recursive-include docs/source/_static/images/ lightning_logo* pl_overview* tf_*
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# Include the Requirements
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include requirements.txt
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@@ -1,6 +1,6 @@
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<div align="center">
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<img src="docs/source/_static/images/lightning_logo.png" width="50" height="50">
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# PyTorch Lightning
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@@ -30,11 +30,11 @@ removed until codecov badge isn't empy. likely a config error showing nothing on
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| System / PyTorch Version | 1.1 | 1.2 | 1.3 | 1.4 |
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| :---: | :---: | :---: | :---: | :---: |
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| Linux py3.6 | [](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 |  | <center>—</center> | <center>—</center> |  |
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| OSX py3.6 |  | <center>—</center> | <center>—</center> |  |
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| OSX py3.7 |  | <center>—</center> | <center>—</center> |  |
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| Windows py3.6 |  | <center>—</center> | <center>—</center> |  |
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| Windows py3.7 |  | <center>—</center> | <center>—</center> |  |
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| Linux py3.7 |  | <center>—</center> | <center>—</center> |  |
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| OSX py3.6 |  | <center>—</center> | <center>—</center> |  |
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| OSX py3.7 |  | <center>—</center> | <center>—</center> |  |
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| Windows py3.6 |  | <center>—</center> | <center>—</center> |  |
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| Windows py3.7 |  | <center>—</center> | <center>—</center> |  |
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</center>
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@@ -65,7 +65,7 @@ To use Lightning, simply refactor your research code into the [LightningModule](
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Everything in Blue!
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This is how lightning separates the science (red) from the engineering (blue).
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## How much effort is it to convert?
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You're probably tired of switching frameworks at this point. But it is a very quick process to refactor into the Lightning format (ie: hours). [Check out this tutorial](https://towardsdatascience.com/how-to-refactor-your-pytorch-code-to-get-these-42-benefits-of-pytorch-lighting-6fdd0dc97538)
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Before Width: | Height: | Size: 5.4 MiB After Width: | Height: | Size: 5.4 MiB |
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Before Width: | Height: | Size: 410 KiB After Width: | Height: | Size: 410 KiB |
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