switch learning_rate and lr
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@ -29,7 +29,7 @@ def build_lr_scheduler(lr_config, epochs, step_each_epoch):
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lr_name = lr_config.pop('name')
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lr = getattr(learning_rate, lr_name)(**lr_config)()
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else:
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lr = lr_config['lr']
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lr = lr_config['learning_rate']
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return lr
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@ -37,8 +37,7 @@ def build_optimizer(config, epochs, step_each_epoch, parameters):
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from . import regularizer, optimizer
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config = copy.deepcopy(config)
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# step1 build lr
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lr = build_lr_scheduler(
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config.pop('learning_rate'), epochs, step_each_epoch)
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lr = build_lr_scheduler(config.pop('lr'), epochs, step_each_epoch)
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# step2 build regularization
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if 'regularizer' in config and config['regularizer'] is not None:
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