tensorflow::
#include <training_ops.h>
Update '*var' according to the RMSProp algorithm.
Summary
Note that in dense implementation of this algorithm, ms and mom will update even if the grad is zero, but in this sparse implementation, ms and mom will not update in iterations during which the grad is zero.
mean_square = decay * mean_square + (1-decay) * gradient ** 2 Delta = learning_rate * gradient / sqrt(mean_square + epsilon)
ms <- rho * ms_{t-1} + (1-rho) * grad * grad mom <- momentum * mom_{t-1} + lr * grad / sqrt(ms + epsilon) var <- var - mom
Args:
- scope: A Scope object
- var: Should be from a Variable().
- ms: Should be from a Variable().
- mom: Should be from a Variable().
- lr: Scaling factor. Must be a scalar.
- rho: Decay rate. Must be a scalar.
- epsilon: Ridge term. Must be a scalar.
- grad: The gradient.
- indices: A vector of indices into the first dimension of var, ms and mom.
Optional attributes (see
Attrs
):
-
use_locking: If
True, updating of the var, ms, and mom tensors is 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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ResourceSparseApplyRMSProp
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
ms, ::
tensorflow::Input
mom, ::
tensorflow::Input
lr, ::
tensorflow::Input
rho, ::
tensorflow::Input
momentum, ::
tensorflow::Input
epsilon, ::
tensorflow::Input
grad, ::
tensorflow::Input
indices)
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ResourceSparseApplyRMSProp
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
ms, ::
tensorflow::Input
mom, ::
tensorflow::Input
lr, ::
tensorflow::Input
rho, ::
tensorflow::Input
momentum, ::
tensorflow::Input
epsilon, ::
tensorflow::Input
grad, ::
tensorflow::Input
indices, const
ResourceSparseApplyRMSProp::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 ResourceSparseApplyRMSProp . |
Public attributes
Public functions
ResourceSparseApplyRMSProp
ResourceSparseApplyRMSProp( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input ms, ::tensorflow::Input mom, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input momentum, ::tensorflow::Input epsilon, ::tensorflow::Input grad, ::tensorflow::Input indices )
ResourceSparseApplyRMSProp
ResourceSparseApplyRMSProp( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input ms, ::tensorflow::Input mom, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input momentum, ::tensorflow::Input epsilon, ::tensorflow::Input grad, ::tensorflow::Input indices, const ResourceSparseApplyRMSProp::Attrs & attrs )
operator::tensorflow::Operation
operator::tensorflow::Operation() const