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[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/small-p32.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 14:11:53 +08:00
train_dataloader = dict(batch_size=128)