mmengine/tests/data/config/lazy_module_config/toy_model.py

50 lines
1.2 KiB
Python

# Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.dataset import DefaultSampler
from mmengine.hooks import EMAHook
from mmengine.model import MomentumAnnealingEMA
from mmengine.runner import FlexibleRunner
from mmengine.testing.runner_test_case import ToyDataset, ToyMetric
with read_base():
from ._base_.base_model import *
from ._base_.default_runtime import *
from ._base_.scheduler import *
param_scheduler.milestones = [2, 4]
train_dataloader = dict(
dataset=dict(type=ToyDataset),
sampler=dict(type=DefaultSampler, shuffle=True),
batch_size=3,
num_workers=0)
val_dataloader = dict(
dataset=dict(type=ToyDataset),
sampler=dict(type=DefaultSampler, shuffle=False),
batch_size=3,
num_workers=0)
val_evaluator = [dict(type=ToyMetric)]
test_dataloader = dict(
dataset=dict(type=ToyDataset),
sampler=dict(type=DefaultSampler, shuffle=False),
batch_size=3,
num_workers=0)
test_evaluator = [dict(type=ToyMetric)]
custom_hooks = [
dict(
type=EMAHook,
ema_type=MomentumAnnealingEMA,
momentum=0.0002,
update_buffers=True,
strict_load=False,
priority=49)
]
runner_type = FlexibleRunner