* Added Windows/MacOSX CI for py3.7 only (#1113)

* [WIP] Added Windows CI for py2.7 only

* Excluded examples from windows ci

* Update unittests.yml

* Update unittests.yml

* Fixed shell bash as suggested

* Fixed failing tests on Win32
- added MNIST test for Win32 in Github actions
- added tests on macosx in Github actions

* Fixed isort

* Fixes tests with IterableDataset

* Skipped slow deterministic tests on win32

* skip failing timer tests on macos

* fix macos platform name

* fix _test_setup_logging

* skip frequency tests on win platform

* skip time tests on macos

* fix flake8

* fix isort

* Skip distrib tests for Win32

* skip time test for macos

* Updated github actions yaml

* skip modules for macos

* Fixed bad skip of deterministic tests, reduced time for slow tests

* Do not run dist tests on macosx

Co-authored-by: Sylvain Desroziers <[email protected]>

* [FR] Parallel helper tools (#1014) (#1116)

* [FR] Parallel helper tools (#1014)

* [WIP] auto and parallel dist modules

* [WIP] auto optim

* Added xla optimizer wrapper
- other code updates

* Updated auto and cifar10 example

* - Fixed resume from
- other cosmetics

* Fixed bug with _XLADistributedOptimizer
- updated default LR

* autopep8 fix

* Updated README and minor fixes

* autopep8 fix

* - Removed mnist distributed example
- Reverted unintended modifications

* Tests of auto methods

* autopep8 fix

* Tests, docs and code updates

* autopep8 fix

* Up code, test, cifar10 example and docs

* Added option to stop the training
- updated ci

* Updated readme and fixed ci configs

* - Updated code, README and remove old cifar10

Co-authored-by: vfdev-5 <[email protected]>
Co-authored-by: AutoPEP8 <>

* Fixes failing tests

* Minor updates

* Other minor updates

* Example readme update and minor fixes

* Added test on load_objects ddp to improve coverage

* Added more tests for parallel launcher

* Replaced pbars by logger

* Updated link to cifar10 example

* Fixes codecov upload

* Updated coverage report type for gpu/tpu

Co-authored-by: Sylvain Desroziers <[email protected]>

* Fixes #1120 (#1122)

* Fixes #1120
- Aligned idist args and method names to torch.distributed.launch

* replace missing num_procs_per_node

* black format

* fix bug

* replace num_nodes by nnodes

Co-authored-by: Desroziers <[email protected]>
Co-authored-by: Sylvain Desroziers <[email protected]>

* reverse order of remove/save in Checkpoint handling (#1117)

* reverse order of remove/save so there is never an n+1 checkpoint situation.

* evict if new item is better than candidate for eviction.

* swap order of updating saved and saving to ensure consistency of state

* remove redundant method.

Co-authored-by: vfdev <[email protected]>

* Fix test auto tpu (#1126)

* Fixed failing tpu tests

* Updated docstring of cifar10 example

* Auto pin_memory (#1129)

* Auto pin_memory

* autopep8 fix

Co-authored-by: AutoPEP8 <>

* fix auto pin_memory : idist.device().type should be used (#1131)

* fix auto pin_memory : idist.device().type should be used

* fix cuda in device

* fix test

* use idist.device().type to test

* add missing ()

Co-authored-by: Desroziers <[email protected]>

* Update pascal voc12 example (#1125)

* [WIP][Pascal-VOC12] Update/refactor example

* [WIP][Pascal-VOC12] Update/refactor example 2

* [WIP] Updated mlflow files

* Removed unused files

* Fixed flake and black

* Removed unused import and fixed version for mlflow

Co-authored-by: Sylvain Desroziers <[email protected]>

* fix cifar10 model : num_classes missing (#1134)

Co-authored-by: Desroziers <[email protected]>

* Accuracy MultiLabel Handling and Error Message (#1132)

* Updated check for multilabel and error message

* Updated docstring and error message

* Updated error message formatting

Co-authored-by: Sylvain Desroziers <[email protected]>

* Updated ImageNet example (#1138)

* [WIP] Updated ImageNet example
- minor fixes for Pascal VOC12

* Fixed flake8

* Updated pytorch-version-tests.yml to run cron every day at 00:00 UTC (#1141)

Co-authored-by: Sylvain Desroziers <[email protected]>

* Added check_compute_fn argument to EpochMetric and related metrics (#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 <[email protected]>
Co-authored-by: vfdev <[email protected]>

* Docs cosmetics (#1142)

* 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 (#1137)

* 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 <[email protected]>

* Docs updates (#1139)

* [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

* Fixes docs (#1147)

* Fixed bad link on teaser

* Added manual_seed into docs

* Issue #1115 : pbar persists due to specific rule in tqdm (notebook) when n < total (#1145)

* Issue #1115
pbar persists in notebook due to specific rules when n < total

* close pbar doesn't rise danger bar

* fix when pbar.total is None

Co-authored-by: vfdev <[email protected]>
Co-authored-by: Desroziers <[email protected]>

* Updated codebase such that torch>=1.3 (#1150)

Co-authored-by: vfdev <[email protected]>

* add wandb (#1152)

wandb integration already exists, just adding it to the requirements file

* Fixed typo and missing part of "Where to go next" (#1151)

* Fixes #1153 (#1154)

- temporary downgrade of scipy to 1.4.1 instead of 1.5.0

* Use global_step as priority, if it exists (#1155)

* Use global_step as priority, if it exists

* Fix flake8 error

* Style fix

Co-authored-by: vfdev <[email protected]>

* Fix TrainsSaver handling of Checkpoint's n_saved (#1135)

* 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 <[email protected]>

* Stateful handlers (#1156)

* 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 <[email protected]>

* Bump version to 0.4rc.0.post1

* bump version to v0.4.0 🎉

Co-authored-by: vfdev <[email protected]>
Co-authored-by: Sylvain Desroziers <[email protected]>
Co-authored-by: Desroziers <[email protected]>
Co-authored-by: Marijan Smetko <[email protected]>
Co-authored-by: Anmol Joshi <[email protected]>
Co-authored-by: Lavanya Shukla <[email protected]>
Co-authored-by: Akihiro Matsukawa <[email protected]>
Co-authored-by: Jake Henning <[email protected]>