tensorflow::ops::SparseApplyProximalAdagrad
#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 proxv=var proxv−=lr∗grad∗(1/sqrt(accum)) var=sign(proxv)/(1+lr∗l2)∗max|proxv|−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
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- 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:
Output
: Same as "var".
Constructors and Destructors |
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SparseApplyProximalAdagrad(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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SparseApplyProximalAdagrad(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 SparseApplyProximalAdagrad::Attrs & attrs)
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() 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:: |
Optional attribute setters for SparseApplyProximalAdagrad. |
Public attributes
operation
Operation operation
out
::tensorflow::Output out
Public functions
SparseApplyProximalAdagrad
SparseApplyProximalAdagrad( 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 )
SparseApplyProximalAdagrad
SparseApplyProximalAdagrad( 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 SparseApplyProximalAdagrad::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
UseLocking
Attrs UseLocking( bool x )