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* New metric classes (#1326) * Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/utilities/test_apply_to_collection.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * move dtype device mixin to more general place * refactor to general device dtype mixin * add initial metric package description * change default to none for mac os * pep8 * fix import * Update index.rst * Update ci-testing.yml * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md * Update pytorch_lightning/metrics/converters.py * readme * Update metric.py * Update pytorch_lightning/metrics/converters.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
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124 lines
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ReStructuredText
.. PyTorch-Lightning documentation master file, created by
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sphinx-quickstart on Fri Nov 15 07:48:22 2019.
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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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PyTorch Lightning Documentation
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===============================
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.. toctree::
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:maxdepth: 1
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:name: start
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:caption: Start Here
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new-project
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introduction_guide
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.. toctree::
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:maxdepth: 2
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:name: docs
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:caption: Python API
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callbacks
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hooks
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lightning-module
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loggers
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metrics
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trainer
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.. toctree::
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:maxdepth: 1
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:name: Community Examples
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:caption: Community Examples
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Contextual Emotion Detection (DoubleDistilBert) <https://github.com/PyTorchLightning/emotion_transformer>
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FasterRCNN object detection + Hydra <https://github.com/PyTorchLightning/wheat>
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Generative Adversarial Network <https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=TyYOdg8g77P0>
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Hyperparameter optimization with Optuna <https://github.com/optuna/optuna/blob/master/examples/pytorch_lightning_simple.py>
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Image Inpainting using Partial Convolutions <https://github.com/ryanwongsa/Image-Inpainting>
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MNIST on TPU <https://colab.research.google.com/drive/1-_LKx4HwAxl5M6xPJmqAAu444LTDQoa3#scrollTo=BHBz1_AnamN_>
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NER (transformers, TPU) <https://colab.research.google.com/drive/1dBN-wwYUngLYVt985wGs_OKPlK_ANB9D>
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NeuralTexture (CVPR) <https://github.com/PyTorchLightning/neuraltexture>
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Recurrent Attentive Neural Process <https://github.com/PyTorchLightning/attentive-neural-processes>
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Siamese Nets for One-shot Image Recognition <https://github.com/PyTorchLightning/Siamese-Neural-Networks>
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Speech Transformers <https://github.com/PyTorchLightning/speech-transformer-pytorch_lightning>
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Transformers transfer learning (Huggingface) <https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=yr7eaxkF-djf>
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Transformers text classification <https://github.com/ricardorei/lightning-text-classification>
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VAE Library of over 18+ VAE flavors <https://github.com/AntixK/PyTorch-VAE>
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.. toctree::
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:maxdepth: 1
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:name: Tutorials
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:caption: Tutorials
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From PyTorch to PyTorch Lightning <https://towardsdatascience.com/from-pytorch-to-pytorch-lightning-a-gentle-introduction-b371b7caaf09>
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.. toctree::
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:maxdepth: 1
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:name: project structure
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:caption: Recommended Lightning Project Layout
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Lightning project seed <https://github.com/PyTorchLightning/pytorch-lightning-conference-seed>
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.. toctree::
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:maxdepth: 1
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:name: Common Use Cases
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:caption: Common Use Cases
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apex
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slurm
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child_modules
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debugging
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experiment_logging
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experiment_reporting
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early_stopping
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fast_training
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hooks
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hyperparameters
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lr_finder
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multi_gpu
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multiple_loaders
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weights_loading
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optimizers
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profiler
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single_gpu
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sequences
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training_tricks
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transfer_learning
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tpu
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test_set
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.. toctree::
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:maxdepth: 1
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:name: community
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:caption: Community
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CODE_OF_CONDUCT.md
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CONTRIBUTING.md
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BECOMING_A_CORE_CONTRIBUTOR.md
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PULL_REQUEST_TEMPLATE.md
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governance.md
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Indices and tables
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------------------
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* :ref:`genindex`
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* :ref:`modindex`
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* :ref:`search`
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.. This is here to make sphinx aware of the modules but not throw an error/warning
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.. toctree::
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:hidden:
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api/pytorch_lightning.core
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api/pytorch_lightning.callbacks
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api/pytorch_lightning.loggers
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api/pytorch_lightning.metrics
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api/pytorch_lightning.overrides
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api/pytorch_lightning.profiler
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api/pytorch_lightning.trainer
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api/pytorch_lightning.utilities
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