mmsegmentation/configs/_base_/schedules/schedule_80k.py

# optimizer
optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
optimizer_config = dict()
# learning policy
lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False)
# runtime settings
runner = dict(type='IterBasedRunner', max_iters=80000)
checkpoint_config = dict(by_epoch=False, interval=8000)
evaluation = dict(interval=8000, metric='mIoU')
init commit 2020-07-07 20:52:19 +08:00			`# optimizer`
			`optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)`
			`optimizer_config = dict()`
			`# learning policy`
			`lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False)`
			`# runtime settings`
Add runner type (#118) * Add runner_type option * pre-commit * Fix max_iters * Add by_epoch to EvalHook * Add test_eval_hook for epoch runner * Remove runner-type arg from tools/train * Add missing every_n_iters check for epoch mode * Bump mmcv min version * Use build_runner * Use interval in tests * Update test_eval_hook.py * Use every_n_epochs instead of every_n_iters. Update DistEvalHook * Add test_dist_eval_hook_epoch * Fix tests * Add DeprecationWarning * Update docs * Replace DeprecationWarning with UserWarning 2020-10-26 06:18:46 +08:00			`runner = dict(type='IterBasedRunner', max_iters=80000)`
init commit 2020-07-07 20:52:19 +08:00			`checkpoint_config = dict(by_epoch=False, interval=8000)`
			`evaluation = dict(interval=8000, metric='mIoU')`