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_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')
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