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Searched
refs:m_t
(Results
1 - 16
of
16
) sorted by null
/external/clang/test/PCH/
cxx-member-init.cpp
19
struct
m_t
struct
22
m_t
() { }
function in struct:m_t
33
m_t
*test() {
34
return new
m_t
;
/external/tensorflow/tensorflow/contrib/opt/python/training/
lazy_adam_optimizer.py
61
m_t
= state_ops.scatter_update(m, grad.indices,
73
# variable -= learning_rate *
m_t
/ (epsilon_t + sqrt(v_t))
74
m_t_slice = array_ops.gather(
m_t
, grad.indices)
80
return control_flow_ops.group(var_update,
m_t
, v_t)
nadam_optimizer.py
79
#
m_t
= beta1 * m + (1 - beta1) * g_t
82
m_t
= state_ops.assign(m, m * beta1_t, use_locking=self._use_locking)
83
with ops.control_dependencies([
m_t
]):
84
m_t
= scatter_add(m, indices, m_scaled_g_values)
85
# m_bar = (1 - beta1) * g_t + beta1 *
m_t
86
m_bar = m_scaled_g_values + beta1_t *
m_t
addsign.py
57
m_t
<- beta1 * m_{t-1} + (1 - beta1) * g
141
m_t
= state_ops.assign(
147
array_ops.gather(math_ops.sign(
m_t
), sign_g.indices) * sign_g.values,
168
return control_flow_ops.group(* [var_update,
m_t
])
lazy_adam_optimizer_test.py
45
m_t
= beta1 * m + (1 - beta1) * g_t
48
param_t = param - alpha_t *
m_t
/ (np.sqrt(v_t) + epsilon)
49
return param_t,
m_t
, v_t
nadam_optimizer_test.py
43
m_t
= beta1 * m + (1 - beta1) * g_t
46
m_bar = (1 - beta1) * g_t + beta1 *
m_t
49
return param_t,
m_t
, v_t
powersign.py
59
m_t
<- beta1 * m_{t-1} + (1 - beta1) * g
144
m_t
= state_ops.assign(
150
array_ops.gather(math_ops.sign(
m_t
), sign_g.indices) * sign_g.values,
172
return control_flow_ops.group(* [var_update,
m_t
])
addsign_test.py
49
m_t
= beta * m + (1 - beta) * g_t
54
multiplier = alpha + sign_decayed * np.sign(g_t) * np.sign(
m_t
)
56
return params_t,
m_t
powersign_test.py
50
m_t
= beta * m + (1 - beta) * g_t
55
multiplier = base ** (sign_decayed * np.sign(g_t) * np.sign(
m_t
))
57
return params_t,
m_t
/external/tensorflow/tensorflow/python/training/
adam.py
59
m_t
<- beta1 * m_{t-1} + (1 - beta1) * g
61
variable <- variable - lr_t *
m_t
/ (sqrt(v_t) + epsilon)
177
#
m_t
= beta1 * m + (1 - beta1) * g_t
180
m_t
= state_ops.assign(m, m * beta1_t,
182
with ops.control_dependencies([
m_t
]):
183
m_t
= scatter_add(m, indices, m_scaled_g_values)
192
lr *
m_t
/ (v_sqrt + epsilon_t),
194
return control_flow_ops.group(*[var_update,
m_t
, v_t])
training_ops_test.py
261
m_t
= variables.Variable(m)
282
apply_adam = training_ops.apply_adam(var_t,
m_t
, v_t, beta1_power_t,
292
m_t
= beta1 * m + (1 - beta1) * g_t
295
param_t = param - alpha_t *
m_t
/ (np.sqrt(v_t) + epsilon)
296
return param_t,
m_t
, v_t
adam_test.py
48
m_t
= beta1 * m + (1 - beta1) * g_t
51
param_t = param - alpha_t *
m_t
/ (np.sqrt(v_t) + epsilon)
52
return param_t,
m_t
, v_t
/external/tensorflow/tensorflow/compiler/tests/
adam_test.py
44
m_t
= beta1 * m + (1 - beta1) * g_t
47
param_t = param - alpha_t *
m_t
/ (np.sqrt(v_t) + epsilon)
48
return param_t,
m_t
, v_t
/external/tensorflow/tensorflow/python/keras/_impl/keras/
optimizers.py
481
m_t
= (self.beta_1 * m) + (1. - self.beta_1) * g
485
p_t = p - lr_t *
m_t
/ (K.sqrt(vhat_t) + self.epsilon)
488
p_t = p - lr_t *
m_t
/ (K.sqrt(v_t) + self.epsilon)
490
self.updates.append(K.update(m,
m_t
))
570
m_t
= (self.beta_1 * m) + (1. - self.beta_1) * g
572
p_t = p - lr_t *
m_t
/ (u_t + self.epsilon)
574
self.updates.append(K.update(m,
m_t
))
659
m_t
= self.beta_1 * m + (1. - self.beta_1) * g
660
m_t_prime =
m_t
/ (1. - m_schedule_next)
666
self.updates.append(K.update(m,
m_t
))
[
all
...]
/system/core/libpixelflinger/
scanline.cpp
1043
GGLfixed m_s,
m_t
;
member in struct:android::clamp_iterator
[
all
...]
/external/tensorflow/tensorflow/go/op/
wrappers.go
[
all
...]
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