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  /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))
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  /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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