mmclassification/mmpretrain/models/utils
Yixiao Fang d9e561a09d
[Feature] Support dinov2 backbone (#1522)
* support dinov2 backbone

* update metafile and readme

* compatible to use_layer_scale

* update SwiGLUFFN

* add deprecation warning

* update
2023-05-05 16:59:37 +08:00
..
batch_augments
__init__.py [Feature] Support dinov2 backbone (#1522) 2023-05-05 16:59:37 +08:00
attention.py [Feature] Support dinov2 backbone (#1522) 2023-05-05 16:59:37 +08:00
batch_shuffle.py [Refactor] Move and refactor utils from mmselfsup. (#1385) 2023-02-28 17:04:40 +08:00
channel_shuffle.py
clip_generator_helper.py [Docs] Update links (#1457) 2023-04-06 20:58:52 +08:00
data_preprocessor.py [Refactor] Add selfsup algorithms. (#1389) 2023-03-06 16:53:15 +08:00
ema.py [Refactor] Add selfsup algorithms. (#1389) 2023-03-06 16:53:15 +08:00
embed.py
helpers.py
inverted_residual.py
layer_scale.py [Feature] Support dinov2 backbone (#1522) 2023-05-05 16:59:37 +08:00
make_divisible.py
norm.py [Docs] Update user guides docs and tools for MMPretrain. (#1429) 2023-03-27 14:32:26 +08:00
position_encoding.py [Refactor] Use `out_type` to specify ViT-like backbone output. (#1408) 2023-03-09 11:02:58 +08:00
res_layer_extra_norm.py [Docs] Update user guides docs and tools for MMPretrain. (#1429) 2023-03-27 14:32:26 +08:00
se_layer.py
swiglu_ffn.py [Feature] Support dinov2 backbone (#1522) 2023-05-05 16:59:37 +08:00
vector_quantizer.py