| /external/tensorflow/tensorflow/python/training/ |
| gradient_descent.py | 34 def __init__(self, learning_rate, use_locking=False, name="GradientDescent"):
40 use_locking: If True use locks for update operations.
44 super(GradientDescentOptimizer, self).__init__(use_locking, name)
52 use_locking=self._use_locking).op
58 grad, use_locking=self._use_locking)
69 return var.scatter_sub(delta, use_locking=self._use_locking)
|
| proximal_gradient_descent.py | 39 l2_regularization_strength=0.0, use_locking=False,
50 use_locking: If True use locks for update operations.
54 super(ProximalGradientDescentOptimizer, self).__init__(use_locking, name)
68 use_locking=self._use_locking).op
77 use_locking=self._use_locking)
87 use_locking=self._use_locking).op
97 use_locking=self._use_locking)
|
| adadelta.py | 37 use_locking=False, name="Adadelta"):
46 use_locking: If `True` use locks for update operations.
50 super(AdadeltaOptimizer, self).__init__(use_locking, name)
81 use_locking=self._use_locking)
94 use_locking=self._use_locking)
108 use_locking=self._use_locking)
122 use_locking=self._use_locking)
|
| adagrad.py | 41 use_locking=False, name="Adagrad"):
48 use_locking: If `True` use locks for update operations.
58 super(AdagradOptimizer, self).__init__(use_locking, name)
91 use_locking=self._use_locking)
100 use_locking=self._use_locking)
110 use_locking=self._use_locking)
120 use_locking=self._use_locking)
|
| momentum.py | 47 use_locking=False, name="Momentum", use_nesterov=False):
53 use_locking: If `True` use locks for update operations.
70 super(MomentumOptimizer, self).__init__(use_locking, name)
97 use_locking=self._use_locking,
107 use_locking=self._use_locking,
117 use_locking=self._use_locking,
127 use_locking=self._use_locking,
|
| proximal_adagrad.py | 39 use_locking=False, name="ProximalAdagrad"):
50 use_locking: If `True` use locks for update operations.
60 super(ProximalAdagradOptimizer, self).__init__(use_locking, name)
94 grad, use_locking=self._use_locking)
102 grad, use_locking=self._use_locking)
111 use_locking=self._use_locking)
121 use_locking=self._use_locking)
|
| adam.py | 41 use_locking=False, name="Adam"):
89 use_locking: If True use locks for update operations.
93 super(AdamOptimizer, self).__init__(use_locking, name)
152 grad, use_locking=self._use_locking).op
166 grad, use_locking=self._use_locking)
181 use_locking=self._use_locking)
187 v_t = state_ops.assign(v, v * beta2_t, use_locking=self._use_locking)
193 use_locking=self._use_locking)
200 x, i, v, use_locking=self._use_locking))
218 beta1_power * self._beta1_t, use_locking=self._use_locking
[all...] |
| ftrl.py | 45 use_locking=False,
61 use_locking: If `True` use locks for update operations.
85 super(FtrlOptimizer, self).__init__(use_locking, name)
158 use_locking=self._use_locking)
173 use_locking=self._use_locking)
190 use_locking=self._use_locking)
205 use_locking=self._use_locking)
223 use_locking=self._use_locking)
239 use_locking=self._use_locking)
255 use_locking=self._use_locking
[all...] |
| rmsprop.py | 66 use_locking=False,
88 use_locking: If True use locks for update operation.
96 super(RMSPropOptimizer, self).__init__(use_locking, name)
145 use_locking=self._use_locking).op
156 use_locking=self._use_locking).op
173 use_locking=self._use_locking)
184 use_locking=self._use_locking)
202 use_locking=self._use_locking)
214 use_locking=self._use_locking)
232 use_locking=self._use_locking
[all...] |
| adagrad_da.py | 51 use_locking=False,
64 use_locking: If `True` use locks for update operations.
76 super(AdagradDAOptimizer, self).__init__(use_locking, name)
122 use_locking=self._use_locking)
138 use_locking=self._use_locking)
155 use_locking=self._use_locking)
172 use_locking=self._use_locking)
|
| adagrad_test.py | 37 def doTestBasic(self, use_locking=False, use_resource=False):
49 3.0, initial_accumulator_value=0.1, use_locking=use_locking)
66 self.doTestBasic(use_locking=False)
69 self.doTestBasic(use_locking=False, use_resource=True)
72 self.doTestBasic(use_locking=True)
|
| /external/tensorflow/tensorflow/python/ops/ |
| state_ops.py | 194 def assign_sub(ref, value, use_locking=None, name=None):
207 use_locking: An optional `bool`. Defaults to `False`.
218 ref, value, use_locking=use_locking, name=name)
223 def assign_add(ref, value, use_locking=None, name=None):
236 use_locking: An optional `bool`. Defaults to `False`.
247 ref, value, use_locking=use_locking, name=name)
252 def assign(ref, value, validate_shape=None, use_locking=None, name=None):
268 use_locking: An optional `bool`. Defaults to `True`
[all...] |
| variables.py | 592 def assign(self, value, use_locking=False):
599 use_locking: If `True`, use locking during the assignment.
605 return state_ops.assign(self._variable, value, use_locking=use_locking)
607 def assign_add(self, delta, use_locking=False):
614 use_locking: If `True`, use locking during the operation.
620 return state_ops.assign_add(self._variable, delta, use_locking=use_locking)
622 def assign_sub(self, delta, use_locking=False):
629 use_locking: If `True`, use locking during the operation
[all...] |
| /external/valgrind/drd/tests/ |
| circular_buffer.c | 52 static int use_locking = 1; variable
106 if (use_locking)
115 if (use_locking)
129 if (use_locking)
138 if (use_locking)
195 use_locking = 0;
|
| /external/tensorflow/tensorflow/contrib/gan/python/features/python/ |
| clip_weights_impl.py | 79 use_locking=True,
|
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| lazy_adam_optimizer.py | 64 use_locking=self._use_locking)
71 use_locking=self._use_locking)
79 use_locking=self._use_locking)
|
| variable_clipping_optimizer.py | 57 use_locking=False,
69 use_locking: If `True` use locks for clip update operations.
75 super(VariableClippingOptimizer, self).__init__(use_locking, name)
117 return var.assign_sub(delta, use_locking=self._use_locking)
136 return var.scatter_sub(delta, use_locking=self._use_locking)
|
| addsign.py | 42 use_locking=False,
76 use_locking: If True, use locks for update operations.
80 super(AddSignOptimizer, self).__init__(use_locking, name)
121 use_locking=self._use_locking).op
133 use_locking=self._use_locking)
142 m, (m * beta_t) + (grad * (1 - beta_t)), use_locking=self._use_locking)
166 use_locking=self._use_locking)
|
| powersign.py | 44 use_locking=False,
78 use_locking: If True, use locks for update operations.
82 super(PowerSignOptimizer, self).__init__(use_locking, name)
123 use_locking=self._use_locking).op
135 use_locking=self._use_locking)
145 m, (m * beta_t) + (grad * (1 - beta_t)), use_locking=self._use_locking)
170 use_locking=self._use_locking)
|
| nadam_optimizer.py | 49 use_locking=self._use_locking,
67 use_locking=self._use_locking,
82 m_t = state_ops.assign(m, m * beta1_t, use_locking=self._use_locking)
90 v_t = state_ops.assign(v, v * beta2_t, use_locking=self._use_locking)
95 var, lr * m_bar / (v_sqrt + epsilon_t), use_locking=self._use_locking)
|
| drop_stale_gradient_optimizer.py | 47 use_locking=False,
55 use_locking: If `True` use locks for clip update operations.
59 super(DropStaleGradientOptimizer, self).__init__(use_locking, name)
|
| /external/tensorflow/tensorflow/contrib/mpi_collectives/ |
| __init__.py | 173 def __init__(self, optimizer, name=None, use_locking=False):
184 use_locking: Whether to use locking when updating variables. See
192 name=name, use_locking=use_locking)
|
| /external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
| sgld_optimizer.py | 143 super(SGLDOptimizer, self).__init__(use_locking=False,
176 use_locking=self._use_locking).op
190 use_locking=self._use_locking).op
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| dense_update_ops_no_tsan_test.py | 41 p, ones_t, use_locking=False) for _ in range(20)
101 p, ones_t, use_locking=True) for _ in range(20)
128 p, math_ops.multiply(ones_t, float(i)), use_locking=True)
|
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| optimizers_test.py | 73 use_locking=False, name='TestOptimizer')
|
