Make Average Model support for 'moving mean' and 'moving variance' of batch_normal op #9459
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1. Add attr 'average' into ParamAttr. 2. Make 'params_grads' optional for AverageModel. 3. Add option 'average_mean' and 'average_variance' for batch_normal.
qingqing01
reviewed
Apr 3, 2018
python/paddle/fluid/layers/nn.py
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| moving_variance_name=None): | ||
| moving_variance_name=None, | ||
| average_mean=True, | ||
| average_variance=True): |
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- default by False
- average_mean, average_variance -> do_model_average_for_mean_and_var?
They can share the same flag.
python/paddle/fluid/framework.py
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| @@ -1137,6 +1137,8 @@ def __init__(self, block, shape, dtype, **kwargs): | |||
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| self.gradient_clip_attr = kwargs.get('gradient_clip_attr', None) | |||
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| self.average = kwargs.get('average', True) | |||
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average -> do_model_ average ?
The meaning of average is not clear.
python/paddle/fluid/optimizer.py
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| @@ -840,33 +840,45 @@ class ModelAverage(Optimizer): | |||
| """ | |||
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| def __init__(self, | |||
| params_grads, | |||
| average_window_rate, | |||
| average_window_rate=0.15, | |||
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Do not set 0.15 as a default value. 0.15 is not general rate.
python/paddle/fluid/param_attr.py
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| @@ -28,13 +28,15 @@ def __init__(self, | |||
| learning_rate=1.0, | |||
| regularizer=None, | |||
| trainable=True, | |||
| gradient_clip=None): | |||
| gradient_clip=None, | |||
| average=True): | |||
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avera=True -> do_model_ average=None.
python/paddle/fluid/param_attr.py
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| self.name = name | ||
| self.initializer = initializer | ||
| self.learning_rate = learning_rate | ||
| self.regularizer = regularizer | ||
| self.trainable = trainable | ||
| self.gradient_clip = gradient_clip | ||
| self.average = average |
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average -> model_average
qingqing01
approved these changes
Apr 12, 2018
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fix #9458