def testAverageVariablesNoNumUpdates_Scalar(self):
with self.cached_session():
ema = moving_averages.ExponentialMovingAverage(0.25)
self._CheckDecay(ema, actual_decay=0.25, dim=1)
def testAverageVariablesNumUpdates_Vector_Debias(self):
# With num_updates 1, the decay applied is 0.1818
ema = moving_averages.ExponentialMovingAverage(0.25,
num_updates=1,
zero_debias=True)
self._CheckDecay(ema, actual_decay=0.181818, dim=5)
def testAverageVariablesNumUpdates_Scalar(self):
# With num_updates 1, the decay applied is 0.1818
ema = moving_averages.ExponentialMovingAverage(0.25, num_updates=1)
self._CheckDecay(ema, actual_decay=0.181818, dim=1)
def testAverageVariablesNoNumUpdates_Vector_Debias(self):
ema = moving_averages.ExponentialMovingAverage(0.25, zero_debias=True)
self._CheckDecay(ema, actual_decay=0.25, dim=5)
def testAverageVariablesNoNumUpdates_Scalar_Debias(self):
with self.test_session():
ema = moving_averages.ExponentialMovingAverage(0.25,
zero_debias=True)
self._CheckDecay(ema, actual_decay=0.25, dim=1)
def testAverageVariablesNumUpdates_Vector(self):
with self.cached_session():
# With num_updates 1, the decay applied is 0.1818
ema = moving_averages.ExponentialMovingAverage(0.25, num_updates=1)
self._CheckDecay(ema, actual_decay=0.181818, dim=5)
