Update CI in README.md (#12495)
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Rohit Gupta
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@ -940,9 +940,13 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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- Fixed check for horovod module ([#12377](https://github.com/PyTorchLightning/pytorch-lightning/pull/12377))
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- Fixed logging to loggers with multiple eval dataloaders ([#12454](https://github.com/PyTorchLightning/pytorch-lightning/pull/12454))
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- Fixed an issue with resuming from a checkpoint trained with QAT ([#11346](https://github.com/PyTorchLightning/pytorch-lightning/pull/11346))
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## [1.5.10] - 2022-02-08
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### Fixed
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25
README.md
25
README.md
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@ -63,7 +63,7 @@ Lightning forces the following structure to your code which makes it reusable an
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- Non-essential research code (logging, etc... this goes in Callbacks).
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- Data (use PyTorch DataLoaders or organize them into a LightningDataModule).
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Once you do this, you can train on multiple-GPUs, TPUs, CPUs and even in 16-bit precision without changing your code!
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Once you do this, you can train on multiple-GPUs, TPUs, CPUs, IPUs, HPUs and even in 16-bit precision without changing your code!
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Get started with our [2 step guide](https://pytorch-lightning.readthedocs.io/en/latest/starter/new-project.html)
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@ -71,21 +71,24 @@ ______________________________________________________________________
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## Continuous Integration
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Lightning is rigorously tested across multiple GPUs, TPUs CPUs and against major Python and PyTorch versions.
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Lightning is rigorously tested across multiple CPUs, GPUs, TPUs, IPUs, and HPUs and against major Python and PyTorch versions.
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<details>
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<summary>Current build statuses</summary>
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<center>
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| System / PyTorch ver. | 1.8 (LTS, min. req.) | 1.9 | 1.10 (latest) |
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| :------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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| Linux py3.7 \[GPUs\*\*\] | [?branchName=master>)](https://dev.azure.com/PytorchLightning/pytorch-lightning/_build/latest?definitionId=6&branchName=master) | - | - |
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| Linux py3.7 \[TPUs\*\*\*\] | [](https://circleci.com/gh/PyTorchLightning/pytorch-lightning/tree/master) | - | - |
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| Linux py3.8 (with Conda | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-conda.yml) | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-conda.yml) | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-conda.yml) |
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| Linux py3.{7,9} | - | - | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-full.yml) |
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| OSX py3.{7,9} | - | - | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-full.yml) |
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| Windows py3.{7,9} | - | - | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-full.yml) |
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| System / PyTorch ver. | 1.8 (LTS, min. req.) | 1.9 | 1.10 | 1.11 (latest) |
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| :------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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| Linux py3.7 \[GPUs\*\*\] | [?branchName=master>)](https://dev.azure.com/PytorchLightning/pytorch-lightning/_build/latest?definitionId=6&branchName=master) | - | - | - |
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| Linux py3.7 \[TPUs\*\*\*\] | - | [](https://circleci.com/gh/PyTorchLightning/pytorch-lightning/tree/master) | - | - |
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| Linux py3.8 \[IPUs\] | - | [?branchName=master>)](https://dev.azure.com/PytorchLightning/pytorch-lightning/_build/latest?definitionId=6&branchName=master) | - | - |
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| Linux py3.8 \[HPUs\] | - | - | [?branchName=master>)](https://dev.azure.com/PytorchLightning/pytorch-lightning/_build/latest?definitionId=6&branchName=master) | - |
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| Linux py3.8 (with Conda) | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-conda.yml) | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-conda.yml) | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-conda.yml) | - |
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| Linux py3.9 (with Conda) | - | - | - | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-conda.yml) |
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| Linux py3.{7,9} | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-full.yml) | - | - | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-full.yml) |
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| OSX py3.{7,9} | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-full.yml) | - | - | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-full.yml) |
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| Windows py3.{7,9} | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-full.yml) | - | - | [](https://github.com/PyTorchLightning/pytorch-lightning/actions/workflows/ci_test-full.yml) |
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- _\*\* tests run on two NVIDIA P100_
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- _\*\*\* tests run on Google GKE TPUv2/3. TPU py3.7 means we support Colab and Kaggle env._
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@ -354,7 +357,7 @@ ______________________________________________________________________
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<img src="docs/source/_static/images/lightning_lite/lite.gif" height="200px" width="600px">
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</div>
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In the Lighting 1.5 release, LightningLite now enables you to leverage all the capabilities of PyTorch Lightning Accelerators without any refactoring to your training loop. Check out the
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In the Lightning 1.5 release, LightningLite now enables you to leverage all the capabilities of PyTorch Lightning Accelerators without any refactoring to your training loop. Check out the
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[blogpost](https://devblog.pytorchlightning.ai/scale-your-pytorch-code-with-lightninglite-d5692a303f00) and
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[docs](https://pytorch-lightning.readthedocs.io/en/stable/starter/lightning_lite.html) for more info.
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@ -736,9 +736,6 @@ See Also:
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gpus
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^^^^
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.. warning:: Setting `Trainer(gpus=x)` is deprecated in v1.6 and will be removed
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in v2.0. Please use `Trainer(accelerator="gpu", devices=x)` instead.
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.. raw:: html
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<video width="50%" max-width="400px" controls
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