tensorflow::
#include <training_ops.h>
Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
Summary
That is for rows we have grad for, we update var and accum as follows: accum += grad * grad prox_v = var prox_v -= lr * grad * (1 / sqrt(accum)) var = sign(prox_v)/(1+lr*l2) * max{|prox_v|-lr*l1,0}
Args:
- scope: A Scope object
- var: Should be from a Variable().
- accum: Should be from a Variable().
- lr: Learning rate. Must be a scalar.
- l1: L1 regularization. Must be a scalar.
- l2: L2 regularization. Must be a scalar.
- grad: The gradient.
- indices: A vector of indices into the first dimension of var and accum.
Optional attributes (see
Attrs
):
- use_locking: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
Returns:
-
the created
Operation
Constructors and Destructors |
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ResourceSparseApplyProximalAdagrad
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
accum, ::
tensorflow::Input
lr, ::
tensorflow::Input
l1, ::
tensorflow::Input
l2, ::
tensorflow::Input
grad, ::
tensorflow::Input
indices)
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ResourceSparseApplyProximalAdagrad
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
accum, ::
tensorflow::Input
lr, ::
tensorflow::Input
l1, ::
tensorflow::Input
l2, ::
tensorflow::Input
grad, ::
tensorflow::Input
indices, const
ResourceSparseApplyProximalAdagrad::Attrs
& attrs)
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Public attributes |
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operation
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Public functions |
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operator::tensorflow::Operation
() const
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Public static functions |
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UseLocking
(bool x)
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Structs |
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tensorflow::
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Optional attribute setters for ResourceSparseApplyProximalAdagrad . |
Public attributes
Public functions
ResourceSparseApplyProximalAdagrad
ResourceSparseApplyProximalAdagrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input grad, ::tensorflow::Input indices )
ResourceSparseApplyProximalAdagrad
ResourceSparseApplyProximalAdagrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input grad, ::tensorflow::Input indices, const ResourceSparseApplyProximalAdagrad::Attrs & attrs )
operator::tensorflow::Operation
operator::tensorflow::Operation() const