2018-08-28 23:27:59 +08:00
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# model settings
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model = 'resnet18'
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# dataset settings
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data_root = '/mnt/SSD/dataset/cifar10'
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mean = [0.4914, 0.4822, 0.4465]
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std = [0.2023, 0.1994, 0.2010]
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batch_size = 64
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# optimizer and learning rate
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optimizer = dict(type='SGD', lr=0.1, momentum=0.9, weight_decay=5e-4)
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2018-09-29 23:53:58 +08:00
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optimizer_config = dict(grad_clip=None)
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lr_config = dict(policy='step', step=2)
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2018-08-28 23:27:59 +08:00
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# runtime settings
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work_dir = './demo'
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gpus = range(2)
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2018-10-09 00:06:48 +08:00
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dist_params = dict(backend='nccl')
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2018-08-28 23:27:59 +08:00
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data_workers = 2 # data workers per gpu
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2018-09-29 23:53:58 +08:00
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checkpoint_config = dict(interval=1) # save checkpoint at every epoch
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2018-08-28 23:27:59 +08:00
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workflow = [('train', 1), ('val', 1)]
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2018-09-29 23:53:58 +08:00
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total_epochs = 6
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2018-08-28 23:27:59 +08:00
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resume_from = None
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load_from = None
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# logging settings
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log_level = 'INFO'
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2018-09-29 23:53:58 +08:00
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log_config = dict(
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interval=50, # log at every 50 iterations
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2018-08-28 23:27:59 +08:00
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hooks=[
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dict(type='TextLoggerHook'),
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2018-10-09 00:06:48 +08:00
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# dict(type='TensorboardLoggerHook'),
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2018-08-28 23:27:59 +08:00
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])
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