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Add ftrl endpoint.

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PiperOrigin-RevId: 235008904
This commit is contained in:
Zhenyu Tan 2019-02-21 09:27:25 -08:00 committed by TensorFlower Gardener
parent a417cd2db5
commit 841031e610
7 changed files with 228 additions and 1 deletions

4
tensorflow/python/keras/optimizers.py
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@ -29,6 +29,7 @@ from tensorflow.python.keras.optimizer_v2 import adadelta as adadelta_v2
from tensorflow.python.keras.optimizer_v2 import adagrad as adagrad_v2
from tensorflow.python.keras.optimizer_v2 import adam as adam_v2
from tensorflow.python.keras.optimizer_v2 import adamax as adamax_v2
from tensorflow.python.keras.optimizer_v2 import ftrl
from tensorflow.python.keras.optimizer_v2 import gradient_descent as gradient_descent_v2
from tensorflow.python.keras.optimizer_v2 import nadam as nadam_v2
from tensorflow.python.keras.optimizer_v2 import optimizer_v2
@ -806,7 +807,8 @@ def deserialize(config, custom_objects=None):
'adamax': adamax_v2.Adamax,
'nadam': nadam_v2.Nadam,
'rmsprop': rmsprop_v2.RMSprop,
'sgd': gradient_descent_v2.SGD
'sgd': gradient_descent_v2.SGD,
'ftrl': ftrl.Ftrl
}
# Make deserialization case-insensitive for built-in optimizers.

71
tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-ftrl.pbtxt Normal file
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@ -0,0 +1,71 @@
path: "tensorflow.keras.optimizers.Ftrl"
tf_class {
is_instance: "<class \'tensorflow.python.keras.optimizer_v2.ftrl.Ftrl\'>"
is_instance: "<class \'tensorflow.python.keras.optimizer_v2.optimizer_v2.OptimizerV2\'>"
is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
is_instance: "<type \'object\'>"
member {
name: "iterations"
mtype: "<type \'property\'>"
}
member {
name: "weights"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'learning_rate\', \'learning_rate_power\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'name\', \'l2_shrinkage_regularization_strength\'], varargs=None, keywords=kwargs, defaults=[\'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'Ftrl\', \'0.0\'], "
}
member_method {
name: "add_slot"
argspec: "args=[\'self\', \'var\', \'slot_name\', \'initializer\'], varargs=None, keywords=None, defaults=[\'zeros\'], "
}
member_method {
name: "add_weight"
argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'trainable\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'zeros\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
}
member_method {
name: "apply_gradients"
argspec: "args=[\'self\', \'grads_and_vars\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "from_config"
argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "get_config"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_gradients"
argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_slot"
argspec: "args=[\'self\', \'var\', \'slot_name\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_slot_names"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_updates"
argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_weights"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "minimize"
argspec: "args=[\'self\', \'loss\', \'var_list\', \'grad_loss\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "set_weights"
argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "variables"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
}

4
tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.pbtxt
View File

@ -16,6 +16,10 @@ tf_module {
name: "Adamax"
mtype: "<type \'type\'>"
}
member {
name: "Ftrl"
mtype: "<type \'type\'>"
}
member {
name: "Nadam"
mtype: "<type \'type\'>"

71
tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-ftrl.pbtxt Normal file
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@ -0,0 +1,71 @@
path: "tensorflow.keras.optimizers.Ftrl"
tf_class {
is_instance: "<class \'tensorflow.python.keras.optimizer_v2.ftrl.Ftrl\'>"
is_instance: "<class \'tensorflow.python.keras.optimizer_v2.optimizer_v2.OptimizerV2\'>"
is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
is_instance: "<type \'object\'>"
member {
name: "iterations"
mtype: "<type \'property\'>"
}
member {
name: "weights"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'learning_rate\', \'learning_rate_power\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'name\', \'l2_shrinkage_regularization_strength\'], varargs=None, keywords=kwargs, defaults=[\'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'Ftrl\', \'0.0\'], "
}
member_method {
name: "add_slot"
argspec: "args=[\'self\', \'var\', \'slot_name\', \'initializer\'], varargs=None, keywords=None, defaults=[\'zeros\'], "
}
member_method {
name: "add_weight"
argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'trainable\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'zeros\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
}
member_method {
name: "apply_gradients"
argspec: "args=[\'self\', \'grads_and_vars\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "from_config"
argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "get_config"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_gradients"
argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_slot"
argspec: "args=[\'self\', \'var\', \'slot_name\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_slot_names"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_updates"
argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_weights"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "minimize"
argspec: "args=[\'self\', \'loss\', \'var_list\', \'grad_loss\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "set_weights"
argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "variables"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
}

4
tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.pbtxt
View File

@ -16,6 +16,10 @@ tf_module {
name: "Adamax"
mtype: "<type \'type\'>"
}
member {
name: "Ftrl"
mtype: "<type \'type\'>"
}
member {
name: "Nadam"
mtype: "<type \'type\'>"

71
tensorflow/tools/api/golden/v2/tensorflow.optimizers.-ftrl.pbtxt Normal file
View File

@ -0,0 +1,71 @@
path: "tensorflow.optimizers.Ftrl"
tf_class {
is_instance: "<class \'tensorflow.python.keras.optimizer_v2.ftrl.Ftrl\'>"
is_instance: "<class \'tensorflow.python.keras.optimizer_v2.optimizer_v2.OptimizerV2\'>"
is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
is_instance: "<type \'object\'>"
member {
name: "iterations"
mtype: "<type \'property\'>"
}
member {
name: "weights"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'learning_rate\', \'learning_rate_power\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'name\', \'l2_shrinkage_regularization_strength\'], varargs=None, keywords=kwargs, defaults=[\'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'Ftrl\', \'0.0\'], "
}
member_method {
name: "add_slot"
argspec: "args=[\'self\', \'var\', \'slot_name\', \'initializer\'], varargs=None, keywords=None, defaults=[\'zeros\'], "
}
member_method {
name: "add_weight"
argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'trainable\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'zeros\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
}
member_method {
name: "apply_gradients"
argspec: "args=[\'self\', \'grads_and_vars\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "from_config"
argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "get_config"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_gradients"
argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_slot"
argspec: "args=[\'self\', \'var\', \'slot_name\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_slot_names"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_updates"
argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_weights"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "minimize"
argspec: "args=[\'self\', \'loss\', \'var_list\', \'grad_loss\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "set_weights"
argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "variables"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
}

4
tensorflow/tools/api/golden/v2/tensorflow.optimizers.pbtxt
View File

@ -16,6 +16,10 @@ tf_module {
name: "Adamax"
mtype: "<type \'type\'>"
}
member {
name: "Ftrl"
mtype: "<type \'type\'>"
}
member {
name: "Nadam"
mtype: "<type \'type\'>"