tensorflow::
ops::
ResourceApplyCenteredRMSProp
#include <training_ops.h>
Update '*var' according to the centered RMSProp algorithm.
Summary
The centered RMSProp algorithm uses an estimate of the centered second moment (i.e., the variance) for normalization, as opposed to regular RMSProp, which uses the (uncentered) second moment. This often helps with training, but is slightly more expensive in terms of computation and memory.
Note that in dense implementation of this algorithm, mg, ms, and mom will update even if the grad is zero, but in this sparse implementation, mg, ms, and mom will not update in iterations during which the grad is zero.
mean_square = decay * mean_square + (1-decay) * gradient ** 2 mean_grad = decay * mean_grad + (1-decay) * gradient
Delta = learning_rate * gradient / sqrt(mean_square + epsilon - mean_grad ** 2)
mg <- rho * mg_{t-1} + (1-rho) * grad ms <- rho * ms_{t-1} + (1-rho) * grad * grad mom <- momentum * mom_{t-1} + lr * grad / sqrt(ms - mg * mg + epsilon) var <- var - mom
Args:
- scope: A Scope object
- var: Should be from a Variable().
- mg: 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.
- momentum: Momentum Scale. Must be a scalar.
- epsilon: Ridge term. Must be a scalar.
- grad: The gradient.
Optional attributes (see
Attrs
):
-
use_locking: If
True
, updating of the var, mg, 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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ResourceApplyCenteredRMSProp
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
mg, ::
tensorflow::Input
ms, ::
tensorflow::Input
mom, ::
tensorflow::Input
lr, ::
tensorflow::Input
rho, ::
tensorflow::Input
momentum, ::
tensorflow::Input
epsilon, ::
tensorflow::Input
grad)
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ResourceApplyCenteredRMSProp
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
mg, ::
tensorflow::Input
ms, ::
tensorflow::Input
mom, ::
tensorflow::Input
lr, ::
tensorflow::Input
rho, ::
tensorflow::Input
momentum, ::
tensorflow::Input
epsilon, ::
tensorflow::Input
grad, const
ResourceApplyCenteredRMSProp::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 ResourceApplyCenteredRMSProp . |
Public attributes
Public functions
ResourceApplyCenteredRMSProp
ResourceApplyCenteredRMSProp( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input mg, ::tensorflow::Input ms, ::tensorflow::Input mom, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input momentum, ::tensorflow::Input epsilon, ::tensorflow::Input grad )
ResourceApplyCenteredRMSProp
ResourceApplyCenteredRMSProp( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input mg, ::tensorflow::Input ms, ::tensorflow::Input mom, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input momentum, ::tensorflow::Input epsilon, ::tensorflow::Input grad, const ResourceApplyCenteredRMSProp::Attrs & attrs )
operator::tensorflow::Operation
operator::tensorflow::Operation() const