| /external/tensorflow/tensorflow/tools/api/golden/ |
| tensorflow.train.-adadelta-optimizer.pbtxt | 22 argspec: "args=[\'self\', \'learning_rate\', \'rho\', \'epsilon\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.001\', \'0.95\', \'1e-08\', \'False\', \'Adadelta\'], "
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| tensorflow.train.-adagrad-d-a-optimizer.pbtxt | 22 argspec: "args=[\'self\', \'learning_rate\', \'global_step\', \'initial_gradient_squared_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.1\', \'0.0\', \'0.0\', \'False\', \'AdagradDA\'], "
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| tensorflow.train.-adagrad-optimizer.pbtxt | 22 argspec: "args=[\'self\', \'learning_rate\', \'initial_accumulator_value\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.1\', \'False\', \'Adagrad\'], "
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| tensorflow.train.-adam-optimizer.pbtxt | 22 argspec: "args=[\'self\', \'learning_rate\', \'beta1\', \'beta2\', \'epsilon\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.001\', \'0.9\', \'0.999\', \'1e-08\', \'False\', \'Adam\'], "
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| tensorflow.train.-ftrl-optimizer.pbtxt | 22 argspec: "args=[\'self\', \'learning_rate\', \'learning_rate_power\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\', \'accum_name\', \'linear_name\', \'l2_shrinkage_regularization_strength\'], varargs=None, keywords=None, defaults=[\'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'False\', \'Ftrl\', \'None\', \'None\', \'0.0\'], "
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| tensorflow.train.-gradient-descent-optimizer.pbtxt | 22 argspec: "args=[\'self\', \'learning_rate\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'GradientDescent\'], "
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| tensorflow.train.-momentum-optimizer.pbtxt | 22 argspec: "args=[\'self\', \'learning_rate\', \'momentum\', \'use_locking\', \'name\', \'use_nesterov\'], varargs=None, keywords=None, defaults=[\'False\', \'Momentum\', \'False\'], "
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| tensorflow.train.-proximal-adagrad-optimizer.pbtxt | 22 argspec: "args=[\'self\', \'learning_rate\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.1\', \'0.0\', \'0.0\', \'False\', \'ProximalAdagrad\'], "
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| tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt | 22 argspec: "args=[\'self\', \'learning_rate\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.0\', \'False\', \'ProximalGradientDescent\'], "
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| tensorflow.train.-r-m-s-prop-optimizer.pbtxt | 22 argspec: "args=[\'self\', \'learning_rate\', \'decay\', \'momentum\', \'epsilon\', \'use_locking\', \'centered\', \'name\'], varargs=None, keywords=None, defaults=[\'0.9\', \'0.0\', \'1e-10\', \'False\', \'False\', \'RMSProp\'], "
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| tensorflow.train.-sync-replicas-optimizer.pbtxt | 22 argspec: "args=[\'self\', \'opt\', \'replicas_to_aggregate\', \'total_num_replicas\', \'variable_averages\', \'variables_to_average\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'sync_replicas\'], "
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| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| 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/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)
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| /external/tensorflow/tensorflow/python/framework/testdata/ |
| metrics_export_meta_graph.pb | 31 name: "use_locking"
78 name: "use_locking"
874 key: "use_locking"
1030 key: "use_locking"
1230 key: "use_locking"
1267 key: "use_locking"
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| /external/tensorflow/tensorflow/cc/saved_model/testdata/half_plus_two_pbtxt/00000123/ |
| saved_model.pbtxt | 67 name: "use_locking"
552 key: "use_locking"
689 key: "use_locking"
826 key: "use_locking"
1541 key: "use_locking"
1640 key: "use_locking"
[all...] |
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| api_def_ApplyCenteredRMSProp.pbtxt | 58 name: "use_locking"
|
| api_def_ResourceApplyCenteredRMSProp.pbtxt | 52 name: "use_locking"
|
| api_def_ResourceScatterNdUpdate.pbtxt | 24 name: "use_locking"
|
| api_def_ResourceSparseApplyCenteredRMSProp.pbtxt | 58 name: "use_locking"
|
| api_def_ScatterNdAdd.pbtxt | 31 name: "use_locking"
|
| api_def_ScatterNdSub.pbtxt | 31 name: "use_locking"
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| api_def_ScatterNdUpdate.pbtxt | 31 name: "use_locking"
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| api_def_SparseApplyCenteredRMSProp.pbtxt | 64 name: "use_locking"
|
| /external/tensorflow/tensorflow/python/ops/ |
| 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/tensorflow/tensorflow/core/ops/compat/ |
| ops_history.v0.pbtxt | 949 name: "use_locking"
1001 name: "use_locking"
1054 name: "use_locking"
1108 name: "use_locking"
1163 name: "use_locking"
1235 name: "use_locking"
1312 name: "use_locking"
1390 name: "use_locking"
1469 name: "use_locking"
1549 name: "use_locking"
[all...] |
