by_epoch=False,interval=500))runner=Runner(model=MMResNet50(),work_dir='./work_dir',train_dataloader=train_dataloader,optim_wrapper=dict(optimizer=dict(type=SGD,lr=0.001,momentum=0.9)),train_cfg=dict(by_epoch=False,max_iters=10000,val_interval...
epoch_train_cfg = pseudo_runner.epoch_based_cfg # 清空默认hook default_hooks_empty = dict( runtime_info=None, timer=None, sampler_seed=None, logger=None, param_scheduler=None, checkpoint=None, ) # 只保留自定义的hook epoch_train_cfg.default_hooks = default_hooks_empty runner = pseudo_runn...
train_dataloader=cfg.get('train_dataloader'),val_dataloader=cfg.get('val_dataloader'),test_dataloader=cfg.get('test_dataloader'),train_cfg=cfg.get('train_cfg'),val_cfg=cfg.get('val_cfg'),test_cfg=cfg.get('test_cfg'),auto_scale_lr=cfg.get('auto_scale_lr'),optim_wrapper=cfg.get('...
# a wrapper to execute back propagation and gradient update, etc. optim_wrapper=dict(optimizer=dict(type=SGD, lr=0.001, momentum=0.9)), # set some training configs like epochs train_cfg=dict(by_epoch=True, max_epochs=5, val_interval=1), val_dataloader=val_dataloader, val_cfg=dict(), ...
train_cfg=dict( assigner=[ dict( type='Max3DIoUAssigner', iou_calculator=dict(type='mmdet3d.BboxOverlapsNearest3D'), pos_iou_thr=0.5, neg_iou_thr=0.35, min_pos_iou=0.35, ignore_iof_thr=-1), dict( type='Max3DIoUAssigner', ...
optim_wrapper=dict(optimizer=dict(type=SGD, lr=0.001, momentum=0.9)), # set some training configs like epochs train_cfg=dict(by_epoch=True, max_epochs=5, val_interval=1), val_dataloader=val_dataloader, val_cfg=dict(), val_evaluator=dict(type=Accuracy), )Launch Training runner.train()...
import torchvision.transforms as transforms from torch.utils.data import DataLoader norm_cfg = dict(mean=[0.491, 0.482, 0.447], std=[0.202, 0.199, 0.201]) train_dataloader = DataLoader(batch_size=32, shuffle=True, dataset=torchvision.datasets.CIFAR10( 'data/cifar10', train=True, download=True...
Replace MMCls with MMPretrain in docs by @zhouzaida in https://github.com/open-mmlab/mmengine/pull/1096 Contributors A total of 17 developers contributed to this release. Thanks @enkilee, @JunweiZheng93, @sh0622-kim, @jsrdcht, @SheffieldCao, @josh6688, @mzr1996, @zhouzaida, @shufanwu...
=train_dataloader_cfg,optim_wrapper=dict(type='AmpOptimWrapper',# 如果你想要使用 BF16,请取消下面一行的代码注释# dtype='bfloat16', # 可用值: ('float16', 'bfloat16', None)optimizer=dict(type='SGD',lr=0.001,momentum=0.9)),train_cfg=dict(by_epoch=True,max_epochs=3),)runner.train()...
runner = Runner( model=ResNet18(), work_dir='./work_dir', train_dataloader=train_dataloader_cfg, optim_wrapper=dict(optimizer=dict(type='SGD', lr=0.001, momentum=0.9)), train_cfg=dict(by_epoch=True, max_epochs=3), load_from='./work_dir/epoch_2.pth', resume=True, ) runner.train...