| /external/tensorflow/tensorflow/python/training/ |
| D | momentum.py | 101 mom = self.get_slot(var, "momentum")
103 var, mom,
111 mom = self.get_slot(var, "momentum")
113 var.handle, mom.handle,
121 mom = self.get_slot(var, "momentum")
123 var, mom,
131 mom = self.get_slot(var, "momentum")
133 var.handle, mom.handle,
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| D | rmsprop.py | 146 mom = self.get_slot(var, "momentum")
153 mom,
164 mom,
174 mom = self.get_slot(var, "momentum")
181 mom.handle,
192 mom.handle,
202 mom = self.get_slot(var, "momentum")
209 mom,
221 mom,
232 mom = self.get_slot(var, "momentum")
[all …]
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| /external/guice/extensions/assistedinject/test/com/google/inject/assistedinject/ |
| D | ManyConstructorsTest.java | 275 assertEquals(null, pops.mom); in testDependenciesAndOtherAnnotations()
278 assertEquals("Mom", moms.mom); in testDependenciesAndOtherAnnotations()
281 assertEquals("Mom", momAndPop.mom); in testDependenciesAndOtherAnnotations()
287 Farm momsFarm(@Assisted("mom") String mom); in momsFarm() argument
289 Farm momAndPopsFarm(@Assisted("mom") String mom, @Assisted("pop") String pop); in momAndPopsFarm() argument
294 String mom; field in ManyConstructorsTest.Farm
302 Farm(@Assisted("mom") String mom, @Assisted("pop") String pop, Cow cow, Dog dog) { in Farm() argument
304 this.mom = mom; in Farm()
308 Farm(@Assisted("mom") String mom, Cow cow) { in Farm() argument
309 this.mom = mom; in Farm()
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_ResourceSparseApplyRMSProp.pbtxt | 16 name: "mom"
48 A vector of indices into the first dimension of var, ms and mom.
54 If `True`, updating of the var, ms, and mom tensors is protected
61 Note that in dense implementation of this algorithm, ms and mom will
63 and mom will not update in iterations during which the grad is zero.
69 mom <- momentum * mom_{t-1} + lr * grad / sqrt(ms + epsilon)
70 var <- var - mom
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| D | api_def_SparseApplyRMSProp.pbtxt | 16 name: "mom"
48 A vector of indices into the first dimension of var, ms and mom.
60 If `True`, updating of the var, ms, and mom tensors is protected
67 Note that in dense implementation of this algorithm, ms and mom will
69 and mom will not update in iterations during which the grad is zero.
75 $$mom <- momentum * mom_{t-1} + lr * grad / sqrt(ms + epsilon)$$
76 $$var <- var - mom$$
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| D | api_def_ApplyRMSProp.pbtxt | 16 name: "mom"
54 If `True`, updating of the var, ms, and mom tensors is protected
61 Note that in dense implementation of this algorithm, ms and mom will
63 and mom will not update in iterations during which the grad is zero.
69 mom <- momentum * mom_{t-1} + lr * grad / sqrt(ms + epsilon)
70 var <- var - mom
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| D | api_def_ResourceApplyRMSProp.pbtxt | 16 name: "mom"
48 If `True`, updating of the var, ms, and mom tensors is protected
55 Note that in dense implementation of this algorithm, ms and mom will
57 and mom will not update in iterations during which the grad is zero.
63 mom <- momentum * mom_{t-1} + lr * grad / sqrt(ms + epsilon)
64 var <- var - mom
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| D | api_def_ResourceSparseApplyCenteredRMSProp.pbtxt | 22 name: "mom"
54 A vector of indices into the first dimension of var, ms and mom.
60 If `True`, updating of the var, mg, ms, and mom tensors is
72 Note that in dense implementation of this algorithm, mg, ms, and mom will
74 and mom will not update in iterations during which the grad is zero.
81 mom <- momentum * mom_{t-1} + lr * grad / sqrt(ms + epsilon)
82 var <- var - mom
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| D | api_def_SparseApplyCenteredRMSProp.pbtxt | 22 name: "mom"
54 A vector of indices into the first dimension of var, ms and mom.
66 If `True`, updating of the var, mg, ms, and mom tensors is
78 Note that in dense implementation of this algorithm, mg, ms, and mom will
80 and mom will not update in iterations during which the grad is zero.
87 $$mom <- momentum * mom_{t-1} + lr * grad / sqrt(ms + epsilon)$$
88 $$var <- var - mom$$
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| D | api_def_ResourceApplyCenteredRMSProp.pbtxt | 22 name: "mom"
60 If `True`, updating of the var, mg, ms, and mom tensors is
72 Note that in dense implementation of this algorithm, mg, ms, and mom will
74 and mom will not update in iterations during which the grad is zero.
83 mom <- momentum * mom_{t-1} + lr * grad / sqrt(ms - mg * mg + epsilon)
84 var <- var - mom
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| D | api_def_ApplyCenteredRMSProp.pbtxt | 22 name: "mom"
66 If `True`, updating of the var, mg, ms, and mom tensors is
78 Note that in dense implementation of this algorithm, mg, ms, and mom will
80 and mom will not update in iterations during which the grad is zero.
89 mom <- momentum * mom_{t-1} + lr * grad / sqrt(ms - mg * mg + epsilon)
90 var <- var - mom
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| D | api_def_RetrieveTPUEmbeddingRMSPropParameters.pbtxt | 17 name: "mom"
19 Parameter mom updated by the RMSProp optimization algorithm.
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| /external/doclava/res/assets/templates/assets/ |
| D | doclava-developer-reference.js | 98 function new_node(me, mom, text, link, children_data, api_level) argument
103 node.depth = mom.depth + 1;
106 mom.get_children_ul().appendChild(node.li);
196 function get_node(me, mom) argument
198 mom.children_visited = true;
199 for (var i in mom.children_data) {
200 var node_data = mom.children_data[i];
201 mom.children[i] = new_node(me, mom, node_data[0], node_data[1],
287 var mom = me.node;
290 mom = mom.children[j];
[all …]
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| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | rmsprop.py | 183 mom = self.get_slot(var, "momentum")
190 mom=mom.handle,
201 mom=mom.handle,
229 mom = self.get_slot(var, "momentum")
236 mom=mom.handle,
248 mom=mom.handle,
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| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
| D | LoadTPUEmbeddingRMSPropParameters.pbtxt | 12 name: "mom"
52 name: "mom"
99 name: "mom"
|
| D | RetrieveTPUEmbeddingRMSPropParameters.pbtxt | 12 name: "mom"
52 name: "mom"
99 name: "mom"
|
| D | LoadTPUEmbeddingCenteredRMSPropParameters.pbtxt | 12 name: "mom"
56 name: "mom"
107 name: "mom"
|
| D | RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.pbtxt | 12 name: "mom"
56 name: "mom"
107 name: "mom"
|
| D | RetrieveTPUEmbeddingCenteredRMSPropParameters.pbtxt | 12 name: "mom"
56 name: "mom"
107 name: "mom"
|
| D | LoadTPUEmbeddingRMSPropParametersGradAccumDebug.pbtxt | 12 name: "mom"
56 name: "mom"
107 name: "mom"
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| D | ResourceApplyRMSProp.pbtxt | 12 name: "mom"
77 name: "mom"
144 name: "mom"
212 name: "mom"
|
| D | ResourceApplyCenteredRMSProp.pbtxt | 16 name: "mom"
85 name: "mom"
156 name: "mom"
228 name: "mom"
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| D | ResourceSparseApplyRMSProp.pbtxt | 12 name: "mom"
91 name: "mom"
172 name: "mom"
254 name: "mom"
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| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
| D | ResourceApplyRMSProp.pbtxt | 12 name: "mom"
77 name: "mom"
144 name: "mom"
212 name: "mom"
|
| D | ResourceApplyCenteredRMSProp.pbtxt | 16 name: "mom"
85 name: "mom"
156 name: "mom"
228 name: "mom"
|