| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | ftrl_test.py | 49 opt = ftrl.Ftrl(
86 opt = ftrl.Ftrl(
118 sgd_op = ftrl.Ftrl(1.0).minimize(loss, var_list=[var0])
138 opt = ftrl.Ftrl(
168 opt = ftrl.Ftrl(3.0, initial_accumulator_value=0.1, beta=0.1)
194 opt = ftrl.Ftrl(
225 opt = ftrl.Ftrl(
262 opt = ftrl.Ftrl(
299 opt = ftrl.Ftrl(
330 opt0 = ftrl.Ftrl(
[all …]
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| D | ftrl.py | 30 class Ftrl(optimizer_v2.OptimizerV2): class
98 super(Ftrl, self).__init__(name, **kwargs)
140 super(Ftrl, self)._prepare_local(var_device, var_dtype, apply_state)
232 config = super(Ftrl, self).get_config()
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.optimizers.-ftrl.pbtxt | 1 path: "tensorflow.keras.optimizers.Ftrl"
3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.ftrl.Ftrl\'>"
29 …words=kwargs, defaults=[\'0.001\', \'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'Ftrl\', \'0.0\', \'0.0\'…
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| D | tensorflow.optimizers.-ftrl.pbtxt | 1 path: "tensorflow.optimizers.Ftrl"
3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.ftrl.Ftrl\'>"
29 …words=kwargs, defaults=[\'0.001\', \'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'Ftrl\', \'0.0\', \'0.0\'…
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| D | tensorflow.optimizers.pbtxt | 20 name: "Ftrl"
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| D | tensorflow.keras.optimizers.pbtxt | 20 name: "Ftrl"
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| D | tensorflow.estimator.-linear-estimator.pbtxt | 25 … \'warm_start_from\'], varargs=None, keywords=None, defaults=[\'None\', \'Ftrl\', \'None\', \'sum\…
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| D | tensorflow.estimator.-baseline-regressor.pbtxt | 25 …n\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Ftrl\', \'None\', \'sum_…
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| D | tensorflow.estimator.-baseline-classifier.pbtxt | 25 …rgs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Ftrl\', \'None\', \'sum_…
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| D | tensorflow.estimator.-baseline-estimator.pbtxt | 25 …\'optimizer\', \'config\'], varargs=None, keywords=None, defaults=[\'None\', \'Ftrl\', \'None\'], "
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| D | tensorflow.estimator.-linear-regressor.pbtxt | 25 …r\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Ftrl\', \'None\', \'None…
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.optimizers.-ftrl.pbtxt | 1 path: "tensorflow.keras.optimizers.Ftrl"
3 is_instance: "<class \'tensorflow.python.keras.optimizer_v2.ftrl.Ftrl\'>"
29 …words=kwargs, defaults=[\'0.001\', \'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'Ftrl\', \'0.0\', \'0.0\'…
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| D | tensorflow.keras.optimizers.pbtxt | 20 name: "Ftrl"
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| D | tensorflow.train.-ftrl-optimizer.pbtxt | 21 …eywords=None, defaults=[\'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'False\', \'Ftrl\', \'None\', \'None…
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| D | tensorflow.estimator.-baseline-classifier.pbtxt | 24 …rgs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Ftrl\', \'None\', \'weig…
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_ResourceApplyFtrl.pbtxt | 59 summary: "Update \'*var\' according to the Ftrl-proximal scheme."
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| D | api_def_ApplyFtrl.pbtxt | 65 summary: "Update \'*var\' according to the Ftrl-proximal scheme."
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| D | api_def_ApplyFtrlV2.pbtxt | 65 summary: "Update \'*var\' according to the Ftrl-proximal scheme."
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| D | api_def_ResourceApplyFtrlV2.pbtxt | 59 summary: "Update \'*var\' according to the Ftrl-proximal scheme."
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| D | api_def_SparseApplyFtrlV2.pbtxt | 71 summary: "Update relevant entries in \'*var\' according to the Ftrl-proximal scheme."
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| D | api_def_ResourceSparseApplyFtrlV2.pbtxt | 65 summary: "Update relevant entries in \'*var\' according to the Ftrl-proximal scheme."
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| D | api_def_ResourceSparseApplyFtrl.pbtxt | 65 summary: "Update relevant entries in \'*var\' according to the Ftrl-proximal scheme."
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| D | api_def_SparseApplyFtrl.pbtxt | 71 summary: "Update relevant entries in \'*var\' according to the Ftrl-proximal scheme."
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| /external/tensorflow/tensorflow/python/keras/ |
| D | optimizers.py | 72 'ftrl': ftrl.Ftrl,
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| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | optimizer_combinations.py | 66 "FtrlKerasV2", lambda: ftrl_keras_v2.Ftrl(0.001))
|