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_base_ = [
'../_base_/models/pointpillars_hv_secfpn_waymo.py',
'../_base_/datasets/waymoD5-3d-3class.py',
'../_base_/schedules/schedule-2x.py',
'../_base_/default_runtime.py',
]
# data settings
train_dataloader = dict(dataset=dict(dataset=dict(load_interval=1)))
# Default setting for scaling LR automatically
# - `enable` means enable scaling LR automatically
# or not by default.
# - `base_batch_size` = (16 GPUs) x (2 samples per GPU).
auto_scale_lr = dict(enable=False, base_batch_size=32)
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