mmpretrain/configs/densenet/densenet161_4xb256_in1k.py

18 lines
509 B
Python

_base_ = [
'../_base_/models/densenet/densenet161.py',
'../_base_/datasets/imagenet_bs64.py',
'../_base_/schedules/imagenet_bs256.py',
'../_base_/default_runtime.py',
]
# dataset settings
train_dataloader = dict(batch_size=256)
# schedule settings
train_cfg = dict(by_epoch=True, max_epochs=90)
# NOTE: `auto_scale_lr` is for automatically scaling LR
# based on the actual training batch size.
# base_batch_size = (4 GPUs) x (256 samples per GPU)
auto_scale_lr = dict(base_batch_size=1024)