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| # training schedule for 1x | |
| _base_ = [ | |
| '../_base_/default_runtime.py', | |
| '../_base_/datasets/toy_data.py', | |
| '../_base_/schedules/schedule_adadelta_5e.py', | |
| '_base_crnn_mini-vgg.py', | |
| ] | |
| # dataset settings | |
| train_list = [_base_.toy_rec_train] | |
| test_list = [_base_.toy_rec_test] | |
| default_hooks = dict(logger=dict(type='LoggerHook', interval=50), ) | |
| train_dataloader = dict( | |
| batch_size=64, | |
| num_workers=8, | |
| persistent_workers=True, | |
| sampler=dict(type='DefaultSampler', shuffle=True), | |
| dataset=dict( | |
| type='ConcatDataset', | |
| datasets=train_list, | |
| pipeline=_base_.train_pipeline)) | |
| val_dataloader = dict( | |
| batch_size=1, | |
| num_workers=4, | |
| persistent_workers=True, | |
| drop_last=False, | |
| sampler=dict(type='DefaultSampler', shuffle=False), | |
| dataset=dict( | |
| type='ConcatDataset', | |
| datasets=test_list, | |
| pipeline=_base_.test_pipeline)) | |
| test_dataloader = val_dataloader | |
| _base_.model.decoder.dictionary.update( | |
| dict(with_unknown=True, unknown_token=None)) | |
| _base_.train_cfg.update(dict(max_epochs=200, val_interval=10)) | |
| val_evaluator = dict(dataset_prefixes=['Toy']) | |
| test_evaluator = val_evaluator | |