mmpretrain/configs/regnet/regnetx-8.0gf_8xb64_in1k.py

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327 B
Python

_base_ = ['./regnetx-400mf_8xb128_in1k.py']
# model settings
model = dict(
backbone=dict(type='RegNet', arch='regnetx_8.0gf'),
head=dict(in_channels=1920, ))
# dataset settings
train_dataloader = dict(batch_size=64)
# schedule settings
# for batch_size 512, use lr = 0.4
optim_wrapper = dict(optimizer=dict(lr=0.4))