Searched refs:SGD (Results 1 – 25 of 166) sorted by relevance
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/external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
D | gradient_descent_test.py | 49 sgd = gradient_descent.SGD(3.0) 96 sgd = gradient_descent.SGD(learning_rate=learning_rate, decay=decay) 104 sgd = gradient_descent.SGD(learning_rate=learning_rate) 112 sgd = gradient_descent.SGD(learning_rate=learning_rate) 113 sgd = gradient_descent.SGD.from_config(sgd.get_config()) 124 sgd = gradient_descent.SGD(lr) 142 sgd = gradient_descent.SGD(1.0) 164 sgd_op = gradient_descent.SGD(1.0).minimize(loss, [var0, var1]) 182 sgd_op = gradient_descent.SGD(lrate).apply_gradients( 196 opt = gradient_descent.SGD(3.0) [all …]
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D | optimizer_v2_test.py | 67 sgd = gradient_descent.SGD(3.0) 90 sgd = gradient_descent.SGD(1.0) 132 sgd = gradient_descent.SGD(3.0) 155 sgd_op = gradient_descent.SGD(3.0) 168 sgd_op = gradient_descent.SGD(3.0) 179 sgd_op = gradient_descent.SGD(3.0) 192 sgd = gradient_descent.SGD(3.0) 231 sgd = gradient_descent.SGD(3.0) 251 sgd = gradient_descent.SGD(3.0) 268 sgd = gradient_descent.SGD(3.0) [all …]
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D | gradient_descent.py | 28 class SGD(optimizer_v2.OptimizerV2): class 83 super(SGD, self).__init__(name, **kwargs) 120 return super(SGD, self)._resource_apply_sparse_duplicate_indices( 144 config = super(SGD, self).get_config()
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/external/tensorflow/tensorflow/python/keras/mixed_precision/experimental/ |
D | loss_scale_optimizer_test.py | 76 opt = gradient_descent.SGD(2.0) 95 opt = gradient_descent.SGD(1.0) 109 loss_scale_optimizer.LossScaleOptimizer(optimizers.SGD(), 10.) 114 gradient_descent.SGD(1.0, clipnorm=1.0), 10.) 119 gradient_descent.SGD(1.0, clipvalue=1.0), 10.)
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/external/tensorflow/tensorflow/python/keras/ |
D | optimizers_test.py | 101 self._test_optimizer(keras.optimizers.SGD()) 106 keras.optimizers.SGD(lr=0.01, momentum=0.9, nesterov=True)) 146 keras.optimizers.SGD(lr=0.01, momentum=0.9, clipnorm=0.5)) 151 keras.optimizers.SGD(lr=0.01, momentum=0.9, clipvalue=0.5)) 216 _ = keras.optimizers.SGD(lr=0.01, clipvalue=-0.5)
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/external/icu/icu4c/source/data/curr/ |
D | fa_AF.txt | 53 SGD{ 54 "SGD",
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D | zh_Hant_HK.txt | 193 SGD{ 194 "SGD", 413 SGD{
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D | dz.txt | 241 SGD{ 242 "SGD",
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D | ps.txt | 497 SGD{ 498 "SGD", 499 "SGD", 722 SGD{"$"} 1238 SGD{ 1239 one{"SGD"} 1240 other{"SGD"}
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D | mt.txt | 469 SGD{ 470 "SGD", 471 "SGD", 685 SGD{"$"} 1391 SGD{ 1392 few{"SGD"} 1393 many{"SGD"} 1394 one{"SGD"} 1395 other{"SGD"}
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D | mzn.txt | 473 SGD{ 474 "SGD", 672 SGD{"$"} 1047 SGD{
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D | my.txt | 553 SGD{ 554 "SGD", 822 SGD{"$"} 1221 SGD{
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D | km.txt | 505 SGD{ 506 "SGD", 730 SGD{"$"} 1130 SGD{
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D | ce.txt | 493 SGD{ 494 "SGD", 716 SGD{"$"} 1229 SGD{
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D | chr.txt | 497 SGD{ 498 "SGD", 722 SGD{"$"} 1238 SGD{
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D | ky.txt | 505 SGD{ 506 "SGD", 730 SGD{"$"} 1255 SGD{
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D | kk.txt | 505 SGD{ 506 "SGD", 728 SGD{"$"} 1253 SGD{
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D | mr.txt | 509 SGD{ 510 "SGD", 738 SGD{"$"} 1263 SGD{
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D | or.txt | 493 SGD{ 494 "SGD", 718 SGD{"$"} 1230 SGD{
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D | ne.txt | 509 SGD{ 510 "SGD", 738 SGD{"$"} 1264 SGD{
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D | si.txt | 505 SGD{ 506 "SGD", 733 SGD{"$"} 1255 SGD{
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.keras.optimizers.-s-g-d.pbtxt | 1 path: "tensorflow.keras.optimizers.SGD" 3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.gradient_descent.SGD\'>" 17 …v\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.0\', \'False\', \'SGD\'], "
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.keras.optimizers.-s-g-d.pbtxt | 1 path: "tensorflow.keras.optimizers.SGD" 3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.gradient_descent.SGD\'>" 17 …v\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.0\', \'False\', \'SGD\'], "
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D | tensorflow.optimizers.-s-g-d.pbtxt | 1 path: "tensorflow.optimizers.SGD" 3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.gradient_descent.SGD\'>" 17 …v\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.0\', \'False\', \'SGD\'], "
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | correctness_test.py | 70 keras.optimizer_v2.gradient_descent.SGD(0.1), 108 keras.optimizer_v2.gradient_descent.SGD(0.1),
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