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Fix std calculation using unbiased estimation in sharing stat mode.

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This commit is contained in:
cxx
2017-11-07 13:49:33 +08:00
committed by Itai Caspi
parent f47b8092af
commit 84e536d371
1 changed files with 3 additions and 2 deletions
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5
architectures/tensorflow_components/shared_variables.py
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@@ -40,8 +40,9 @@ class SharedRunningStats(object):
name="count", trainable=False) name="count", trainable=False)
self._shape = shape self._shape = shape
self._mean = tf.to_float(self._sum / self._count) self._mean = self._sum / self._count
self._std = tf.sqrt(tf.maximum(tf.to_float(self._sum_squared / self._count) - tf.square(self._mean), 1e-2)) self._std = tf.sqrt(tf.maximum((self._sum_squared - self._count*tf.square(self._mean))
/ tf.maximum(self._count-1, 1), epsilon))
self.new_sum = tf.placeholder(shape=self.shape, dtype=tf.float64, name='sum') self.new_sum = tf.placeholder(shape=self.shape, dtype=tf.float64, name='sum')
self.new_sum_squared = tf.placeholder(shape=self.shape, dtype=tf.float64, name='var') self.new_sum_squared = tf.placeholder(shape=self.shape, dtype=tf.float64, name='var')