* [CodeCamp2023-584]Support DINO self-supervised learning in project (#1756)
* feat: impelemt DINO
* chore: delete debug code
* chore: impplement pre-commit
* fix: fix imported package
* chore: pre-commit check
* [CodeCamp2023-340] New Version of config Adapting MobileNet Algorithm (#1774)
* add new config adapting MobileNetV2,V3
* add base model config for mobile net v3, modified all training configs of mobile net v3 inherit from the base model config
* removed directory _base_/models/mobilenet_v3
* [Feature] Implement of Zero-Shot CLIP Classifier (#1737)
* zero-shot CLIP
* modify zero-shot clip config
* add in1k_sub_prompt(8 prompts) for improvement
* add some annotations doc
* clip base class & clip_zs sub-class
* some modifications of details after review
* convert into and use mmpretrain-vit
* modify names of some files and directories
* ram init commit
* [Fix] Fix pipeline bug in image retrieval inferencer
* [CodeCamp2023-341] 多模态数据集文档补充-COCO Retrieval
* Update OFA to compat with latest huggingface.
* Update train.py to compat with new config
* Bump version to v1.1.0
* Update __init__.py
---------
Co-authored-by: LALBJ <40877073+LALBJ@users.noreply.github.com>
Co-authored-by: DE009 <57087096+DE009@users.noreply.github.com>
Co-authored-by: mzr1996 <mzr1996@163.com>
Co-authored-by: 飞飞 <102729089+ASHORE1225@users.noreply.github.com>
* [Improve] Use PyTorch official `scaled_dot_product_attention` to accelerate `MultiheadAttention`.
* Support `--local-rank` and `--amp` option for new version PyTorch.
* Fix imports and UT.
* 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>
