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mmclassification/configs/conformer/conformer-tiny-p16_8xb128_in1k.py

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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/tiny-p16.py',
'../_base_/datasets/imagenet_bs64_swin_224.py',
'../_base_/schedules/imagenet_bs1024_adamw_conformer.py',
'../_base_/default_runtime.py'
]
data = dict(samples_per_gpu=128)
evaluation = dict(interval=1, metric='accuracy')
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