39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
_base_ = [
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'../_base_/models/cgnet.py', '../_base_/datasets/cityscapes.py',
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'../_base_/default_runtime.py'
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]
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# optimizer
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optimizer = dict(type='Adam', lr=0.001, eps=1e-08, weight_decay=0.0005)
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optim_wrapper = dict(type='OptimWrapper', optimizer=optimizer)
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# learning policy
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param_scheduler = [
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dict(
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type='PolyLR',
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eta_min=1e-4,
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power=0.9,
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by_epoch=False,
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begin=0,
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end=60000)
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]
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# runtime settings
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total_iters = 60000
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train_cfg = dict(
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type='IterBasedTrainLoop', max_iters=total_iters, val_interval=4000)
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val_cfg = dict(type='ValLoop')
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test_cfg = dict(type='TestLoop')
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default_hooks = dict(
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timer=dict(type='IterTimerHook'),
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logger=dict(type='LoggerHook', interval=50),
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param_scheduler=dict(type='ParamSchedulerHook'),
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checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=4000),
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sampler_seed=dict(type='DistSamplerSeedHook'))
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crop_size = (512, 1024)
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data_preprocessor = dict(size=crop_size)
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model = dict(data_preprocessor=data_preprocessor)
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train_dataloader = dict(batch_size=8)
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val_dataloader = dict(batch_size=1)
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test_dataloader = val_dataloader
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