mmpretrain/configs/conformer/conformer-base-p16_8xb128_in1k.py

_base_ = [
    '../_base_/models/conformer/base-p16.py',
    '../_base_/datasets/imagenet_bs64_swin_224.py',
    '../_base_/schedules/imagenet_bs1024_adamw_conformer.py',
    '../_base_/default_runtime.py'
]

train_dataloader = dict(batch_size=128)
[Feature] Implement the conformer backbone. (#494) * implement the conformer * format code style * format code style * reuse the TransformerEncoderLayer in the vision_transformer.py * Modify variable name * delete unused params * Remove warning info in Conformer head since it already exists in Conformer. * Rename some variables * Add unit tests * Use `getattr` instead of `get_submodule`. * Remove some useless layers * Refactor conformer and add configs * Update configs and add metafile. * Fix unit tests * Update README Co-authored-by: mzr1996 <mzr1996@163.com> 2021-12-07 14:00:17 +08:00			`_base_ = [`
			`'../_base_/models/conformer/base-p16.py',`
			`'../_base_/datasets/imagenet_bs64_swin_224.py',`
			`'../_base_/schedules/imagenet_bs1024_adamw_conformer.py',`
			`'../_base_/default_runtime.py'`
			`]`

[Refactor] Add `ResizeEdge` and refactor all dataset configs. 2022-06-01 06:11:53 +00:00			`train_dataloader = dict(batch_size=128)`