vfdev

Introduce state.data as end-to-end data structure

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## 🚀 Feature Following the discussions from https://github.com/Project-MONAI/MONAI/issues/1987 , we may think of providing a unified data structure where we could merge input batch and output to simplify data access...

## 🚀 Feature The idea is to add ```python if torch.cuda.is_available() and torch.backends.cudnn.enabled: torch.backends.cudnn.benchmark = True ``` into native distributed model and clearly state about that in the docs. Once...

Fixes #1521 Description: - bug fixes - state_dict/load_state_dict refactor - added helper `Engine.debug()` method - more tests Check list: * [x] New tests are added (if a new feature is...

Improve versions update for docker building

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- https://github.com/pytorch/ignite/pull/1878#issuecomment-808041919 cc @trsvchn @ydcjeff

Support for pipeline/model parallelism

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## 🚀 Feature Following https://github.com/pytorch/ignite/issues/1709, Ignite is not supporting other modern types of parallelism. The idea is to introduce the following API to make `ignite.distributed` aware of data parallel group:...

Improve Pascal VOC ref example: model weights

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## 🚀 Feature When we run baseline configuration : ``` python -m torch.distributed.launch --nproc 2 --use_env -m py_config_runner ./code/scripts/training.py ./configs/train/baseline_resnet101.py ``` When model is instantiated, it downloads ImageNet pretrained weights...

Epoch is implicitly incremented if terminated on iteration

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## 🐛 Bug description Below code shows the error: ```python from ignite.engine import Engine, Events from ignite.utils import setup_logger stop_iter = 50 epoch_length = 100 max_epochs = 2 trainer =...

IterationMetric discussion

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## 🚀 Feature I'd like to discuss a bit about your PR on IterationMetric (https://github.com/Project-MONAI/MONAI/pull/1488). As far as I understand, the idea is to compute metric value on each iteration...

[WIP] Static events filter

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Description: Will enable the following: ```python events = Events.STARTED(args.start_validation) | Events.COMPLETED | Events.EPOCH_COMPLETED(every=3) trainer = ... @trainer.on(events) def run_validation(trainer): # do something ``` To simplify this implementation in a real...

Fix incorrect design for RunningAverage, Frequency, ModelCheckpoint, ...

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## 🐛 Bug description Thanks to PRs on mypy annotation by @gruebel we discovered few classes where we have to redesign methods in order to keep consistency with their base...