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Searched
refs:zero_debias
(Results
1 - 6
of
6
) sorted by null
/external/tensorflow/tensorflow/python/training/
moving_averages.py
35
def assign_moving_average(variable, value, decay,
zero_debias
=True, name=None):
46
`
zero_debias
` optionally enables scaling by the mathematically correct
74
zero_debias
: A python bool. If true, assume the variable is 0-initialized
86
if
zero_debias
:
163
value_x_weight_var, value * weight, decay,
zero_debias
=False)
165
weight_var, weight, decay,
zero_debias
=False)
333
def __init__(self, decay, num_updates=None,
zero_debias
=False,
351
zero_debias
: If `True`, zero debias moving-averages that are initialized
358
self._zero_debias =
zero_debias
401
zero_debias_true = set() # set of vars to set `
zero_debias
=True
[
all
...]
moving_averages_test.py
46
var, val, decay,
zero_debias
=False)
52
var, val, decay,
zero_debias
=False)
244
ema = moving_averages.ExponentialMovingAverage(0.25,
zero_debias
=True)
256
ema = moving_averages.ExponentialMovingAverage(0.25,
zero_debias
=True)
271
0.25, num_updates=1,
zero_debias
=True)
286
0.25, num_updates=1,
zero_debias
=True)
334
def averageVariablesNamesHelper(self,
zero_debias
):
342
0.25,
zero_debias
=
zero_debias
, name="foo")
358
if
zero_debias
[
all
...]
/external/tensorflow/tensorflow/contrib/distribute/python/
moving_averages_test.py
52
var, val, decay,
zero_debias
=False)
100
var, val, decay,
zero_debias
=False)
151
var, val, decay,
zero_debias
=False)
/external/tensorflow/tensorflow/contrib/layers/python/layers/
layers.py
251
zero_debias_moving_mean: Use
zero_debias
for moving_mean.
397
moving_mean, mean, decay,
zero_debias
=zero_debias_moving_mean)
399
moving_variance, variance, decay,
zero_debias
=False)
411
moving_mean, mean, decay,
zero_debias
=zero_debias_moving_mean)
413
moving_variance, variance, decay,
zero_debias
=False)
524
zero_debias_moving_mean: Use
zero_debias
for moving_mean. It creates a new
[
all
...]
optimizers.py
325
moving_average_variable, value, decay,
zero_debias
=False)
/external/tensorflow/tensorflow/python/keras/
backend.py
[
all
...]
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