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_base_ = [
'svtr-tiny_20e_st_mj.py',
]
model = dict(
preprocessor=dict(output_image_size=(48, 160), ),
encoder=dict(
img_size=[48, 160],
max_seq_len=40,
out_channels=256,
embed_dims=[128, 256, 384],
depth=[3, 6, 9],
num_heads=[4, 8, 12],
mixer_types=['Local'] * 8 + ['Global'] * 10),
decoder=dict(in_channels=256))
train_dataloader = dict(batch_size=256, )
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