Test netlify #12
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Test netlify #12
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* [WIP] Updated ImageNet example - minor fixes for Pascal VOC12 * Fixed flake8
…1141) Co-authored-by: Sylvain Desroziers <sylvain.desroziers@gmail.com>
…1140) * Added check_compute_fn argument to EpochMetric and related functions. * Updated docstrings * Added check_compute_fn to _BaseRegressionEpoch * Adding typing hints for check_compute_fn * Update roc_auc.py Co-authored-by: Sylvain Desroziers <sylvain.desroziers@gmail.com> Co-authored-by: vfdev <vfdev.5@gmail.com>
* Updated docs, replaced single quote by double quote if is code - fixed missing link to Engine - cosmetics * More doc updates * More updates
* Fix batch size calculation error * Add tests for fixed batch size calculation * Fix tests * Test for num_workers * Fix nproc comparison * Improve docs * Fixed docstring Co-authored-by: vfdev <vfdev.5@gmail.com>
* [WIP] Added teaser gif * [WIP] Updated README * [WIP] Updated README * [WIP] Updated docs * Reverted unintended pyproject.toml edits * Updated README and examples parts * More updates of README * Added badge to check pytorch/python compatible versions * Updated README * Added ref to blog "Using Optuna to Optimize PyTorch Ignite Hyperparameters" * Update README.md * Fixed bad internal link in examples * Updated README
* Fixed bad link on teaser * Added manual_seed into docs
Co-authored-by: vfdev <vfdev.5@gmail.com>
wandb integration already exists, just adding it to the requirements file
* Use global_step as priority, if it exists * Fix flake8 error * Style fix Co-authored-by: vfdev <vfdev.5@gmail.com>
* Utilize Trains framework callbacks to better support checkpoint saving and respect Checkpoint.n_saved * Update trains callbacks to new format * autopep8 fix * Fix trains mnist example (store checkpoints in local folder) * Use trains 0.15.1rc0 until PR is approved * Use CallbackType for Trains callback type resolution. Add unit test for Trains callbacks * Update trains version * Updated test_trains_saver_callbacks Co-authored-by: jkhenning <> Co-authored-by: vfdev <vfdev.5@gmail.com>
* Stateful handlers * Added state_dict/load_state_dict tests for Checkpoint * integration test * Updated docstring and added include_self to ModelCheckpoint * An integreation test for checkpointing with stateful handlers * Black and flake8 Co-authored-by: vfdev-5 <vfdev.5@gmail.com>
Co-authored-by: vfdev <vfdev.5@gmail.com>
Added "Uncertainty Estimation Using a Single Deep Deterministic Neural Network" paper by @y0ast
* Fixes #1124 - Trains logger can log torch vectors * Log vector as title=tag+key, series=str(index)
* fix issue 1165 * Update ignite/distributed/comp_models/native.py Co-authored-by: vfdev <vfdev.5@gmail.com> * add test for nccl /wo gpu Co-authored-by: Desroziers <sylvain.desroziers@ifpen.fr> Co-authored-by: vfdev <vfdev.5@gmail.com>
- saves/restore env on init/finalize
* ValueError -> TypeError * refactor corresponeding unit-test Co-authored-by: vfdev <vfdev.5@gmail.com>
* Updated code to log models on Trains server * Updated cifar10 example to log necessary things to Trains
* Fix link to pytorch documents * Fix too long lines Co-authored-by: vfdev <vfdev.5@gmail.com>
* Fixes #1289 - Promoted _required_output_keys to be public as user would like to override it. * Updated docs
* add mypy file * add mypy at CI step * add mypy step at Contributing.md Co-authored-by: vfdev <vfdev.5@gmail.com>
* [WIP] Docker for users with Horovod - base / vision / nlp - with apex build * [WIP] Docker for users with Horovod - install horovod with .whl , add nccl in runtime image * Docker for users with Horovod - update Readmes for horovod images and configuration * Docker for users with Horovod - hvd tags/v0.20.0 - ignite examples with git sparse checkout * Docker for users with Horovod - update docs Co-authored-by: Sylvain Desroziers <sylvain.desroziers@gmail.com> Co-authored-by: vfdev <vfdev.5@gmail.com>
* Docker for users with DeepSpeed - msdp-base | vision | nlp * Docker for users with DeepSpeed - rename images extensions to msdp-apex-* Co-authored-by: Sylvain Desroziers <sylvain.desroziers@gmail.com>
* Updated hvd images - added scripts to auto build and push images * Updated scripts according to the review
* Add abs on denominators in canberra metric and use sklearn in test * autopep8 fix * improve docstring * use canberra on total computation * Update canberra_metric.py Co-authored-by: Desroziers <sylvain.desroziers@ifpen.fr> Co-authored-by: AutoPEP8 <> Co-authored-by: vfdev <vfdev.5@gmail.com>
* refactor canberra metric for ddp * improve canberra for ddp * autopep8 fix * use tensor for accumulation * detach output * remove useless item() * add missing move to device * refactor detach() and move * refactor to remove useless view_as and to() * do not expose reinit__is_reduced ad sync_all_reduce Co-authored-by: Desroziers <sylvain.desroziers@ifpen.fr> Co-authored-by: AutoPEP8 <>
* fix manhattan distance and improve for ddp * replace article by sklearn documentation * Update ignite/contrib/metrics/regression/manhattan_distance.py Co-authored-by: vfdev <vfdev.5@gmail.com> Co-authored-by: Desroziers <sylvain.desroziers@ifpen.fr> Co-authored-by: vfdev <vfdev.5@gmail.com>
* Update Circle CI docker image to pytorch 1.6. Closes #1225 * Update Circle CI docker image to pytorch 1.6. Closes #1225 (#1322) * Revert "Update Circle CI docker image to pytorch 1.6. Closes #1225 (#1322)" (#1323) This reverts commit 22ecac6. * Update Circle CI docker image to pytorch 1.6.0 Closes #1225 Co-authored-by: vfdev <vfdev.5@gmail.com>
* Update Circle CI docker image to pytorch 1.6. Closes #1225 (#1322) * Revert "Update Circle CI docker image to pytorch 1.6. Closes #1225 (#1322)" (#1323) This reverts commit 22ecac6. * add logos * remove past logo from readme * add logo guidelines * Update README.md Changed size to 512 * Updated docs logo Co-authored-by: Juan Miguel Boyero Corral <juanmi1982@gmail.com> Co-authored-by: vfdev <vfdev.5@gmail.com>
* Fixed CI on GPUs with pth 1.6.0 - updated tests/run_gpu_tests.sh file - updated nccl version to 2.7 for Horovod build * Fixed hvd failing tests
- Added CITATION file
* imrpove r2 for ddp * autopep8 fix * _num_examples type is scalar * autopep8 fix Co-authored-by: Desroziers <sylvain.desroziers@ifpen.fr> Co-authored-by: AutoPEP8 <> Co-authored-by: vfdev <vfdev.5@gmail.com>
Co-authored-by: Desroziers <sylvain.desroziers@ifpen.fr> Co-authored-by: vfdev <vfdev.5@gmail.com>
* make ssim accumulate on specified device * keep output on original device until accumulation * implement more efficient kernel creation Co-authored-by: vfdev <vfdev.5@gmail.com>
* Update documentation for terminate Events (#1332) * Converted raw table in docstring to list table
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