hrnet-w64_4xb32_in1k.py

_base_ = [
    '../_base_/models/hrnet/hrnet-w64.py',
    '../_base_/datasets/imagenet_bs32_pil_resize.py',
    '../_base_/schedules/imagenet_bs256_coslr.py',
    '../_base_/default_runtime.py'
]

# NOTE: `auto_scale_lr` is for automatically scaling LR
# based on the actual training batch size.
# base_batch_size = (4 GPUs) x (32 samples per GPU)
auto_scale_lr = dict(base_batch_size=128)