mirror of https://github.com/open-mmlab/mmocr.git
44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
_base_ = [
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'_base_master_resnet31.py',
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'../_base_/datasets/toy_data.py',
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'../_base_/default_runtime.py',
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'../_base_/schedules/schedule_adam_base.py',
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]
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optim_wrapper = dict(optimizer=dict(lr=4e-4))
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train_cfg = dict(max_epochs=12)
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# learning policy
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param_scheduler = [
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dict(type='LinearLR', end=100, by_epoch=False),
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dict(type='MultiStepLR', milestones=[11], end=12),
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]
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# dataset settings
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train_list = [_base_.toy_rec_train]
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test_list = [_base_.toy_rec_test]
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train_dataset = dict(
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type='ConcatDataset', datasets=train_list, pipeline=_base_.train_pipeline)
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test_dataset = dict(
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type='ConcatDataset', datasets=test_list, pipeline=_base_.test_pipeline)
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train_dataloader = dict(
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batch_size=2,
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num_workers=1,
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persistent_workers=True,
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sampler=dict(type='DefaultSampler', shuffle=True),
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dataset=train_dataset)
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val_dataloader = dict(
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batch_size=2,
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num_workers=1,
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persistent_workers=True,
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drop_last=False,
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sampler=dict(type='DefaultSampler', shuffle=False),
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dataset=test_dataset)
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test_dataloader = val_dataloader
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val_evaluator = dict(dataset_prefixes=['Toy'])
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test_evaluator = val_evaluator
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