mmpretrain/configs/tinyvit/tinyvit-21m-distill_8xb256_...

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Python

_base_ = [
'../_base_/datasets/imagenet_bs32_pil_bicubic.py',
'../_base_/schedules/imagenet_bs1024_adamw_swin.py',
'../_base_/default_runtime.py',
'../_base_/models/tinyvit/tinyvit-21m.py',
]
# model settings
model = dict(
backbone=dict(
img_size=(512, 512),
window_size=[16, 16, 32, 16],
drop_path_rate=0.1,
))
# data settings
test_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='Resize',
scale=(512, 512),
backend='pillow',
interpolation='bicubic'),
dict(type='PackInputs'),
]
val_dataloader = dict(batch_size=16, dataset=dict(pipeline=test_pipeline))
test_dataloader = val_dataloader