* implement training and evaluation on IPU
* fp16 SOTA
* Tput reaches 5600
* 123
* add poptorch dataloder
* change ipu_replicas to ipu-replicas
* add noqa to config long line(website)
* remove ipu dataloder test code
* del one blank line in test_builder
* refine the dataloder initialization
* fix a typo
* refine args for dataloder
* remove an annoted line
* process one more conflict
* adjust code structure in mmcv.ipu
* adjust ipu code structure in mmcv
* IPUDataloader to IPUDataLoader
* align with mmcv
* adjust according to mmcv
* mmcv code structre fixed
Co-authored-by: hudi <dihu@graphcore.ai>
* Support to use `indices` to specify which samples to evaluate.
* Add KFoldDataset wrapper
* Rename 'K' to 'num_splits' accroding to sklearn
* Add `kfold-cross-valid.py`
* Add unit tests
* Add help doc and docstring
* sampler bugfixes
* sampler bugfixes
* reorganize code
* minor fixes
* reorganize code
* minor fixes
* Use `mmcv.runner.get_dist_info` instead of `dist` package to get rank
and world size.
* Add `build_dataloader` unit tests and fix sampler's unit tests.
* Fix unit tests
* Fix unit tests
Co-authored-by: mzr1996 <mzr1996@163.com>
* [Enhance] Imporve efficiency of precision, recall, f1_score and support.
* Fix bugs
* Use np.maximum since torch doesn't have maximum before torch 1.7
* Fix bug
* fix dataset wrapper bug and add unit tests
* fix dataset wrapper bug and add unit tests
* update unit tests
* fix lint
* align interface to mmdet
* update unit tests
* refactor resize, test tobe done
* resize reimpl according to discussion; add pad
* minor fixes and add tests
* minor fixes on docstring
* add additional unit test
* reformat resize and pad
* revise code and docstr according to the comments
* add imagnet21k
* Update unit test
* update imaenet21k
* use slots
* use slots
* rename Data_item to ImageInfo
* add unit tests
* Update unit tests
* rm some print
* update unit tests
* fix lint
* remove default value of pipeline
* Add hparams argument in `AutoAugment` and `RandAugment`.
And `pad_val` supports sequence instead of tuple only.
* Add unit tests for `AutoAugment` and `hparams` in `RandAugment`.
* Use smaller test image to speed up uni tests.
* Use hparams to simplify RandAugment config in swin-transformer.
* Rename augment config name from `pipeline` to `pipelines`.
* Add some commnet ad docstring.
* Add API inference in the docs and fix readthedocs config.
* Replace some relative link in docs.
* Format docstring for reStructuredText syntax.
* Fix vit paper link
* Fix docstring of `show_results` function in `BaseClassifier`.
* add increasing in solarize and posterize
* fix linting
* Revert "add increasing in solarize and posterize"
This reverts commit 128af36e9b.
* revise according to comments
* Add paramater magnitude_std in RandAugment to allow randomly movement of magnitude_value
* Add unittest for magnitude_std
* Improve docstring of magnitude_std
* support random augmentation
* minor fix on posterize
* minor fix on posterize
* minor fix on cutout
* minor fix on cutout
* fix bug in solarize add
* revised according to comments