text: _base_ = [
      '../../_base_/default_runtime.py', '../../_base_/recog_models/sar.py',
      '../../_base_/schedules/schedule_adam_step_5e.py',
      '../../_base_/recog_pipelines/sar_pipeline.py',
      '../../_base_/recog_datasets/toy_data.py'
  ]
  
  train_list = {{_base_.train_list}}
  test_list = {{_base_.test_list}}
  
  train_pipeline = {{_base_.train_pipeline}}
  test_pipeline = {{_base_.test_pipeline}}
  
  data = dict(
      workers_per_gpu=2,
      samples_per_gpu=8,
      train=dict(
          type='UniformConcatDataset',
          datasets=train_list,
          pipeline=train_pipeline),
      val=dict(
          type='UniformConcatDataset',
          datasets=test_list,
          pipeline=test_pipeline),
      test=dict(
          type='UniformConcatDataset',
          datasets=test_list,
          pipeline=test_pipeline))
  
  evaluation = dict(interval=1, metric='acc')
  