tensorflow::ops::ScatterUpdate
#include <state_ops.h>
Applies sparse updates to a variable reference.
Summary
This operation computes
# Scalar indices ref[indices, ...] = updates[...] # Vector indices (for each i) ref[indices[i], ...] = updates[i, ...] # High rank indices (for each i, ..., j) ref[indices[i, ..., j], ...] = updates[i, ..., j, ...]
This operation outputs ref
after the update is done. This makes it easier to chain operations that need to use the reset value.
If values in ref
is to be updated more than once, because there are duplicate entries in indices
, the order at which the updates happen for each value is undefined.
Requires updates.shape = indices.shape + ref.shape[1:]
.
Arguments:
 scope: A Scope object
 ref: Should be from a
Variable
node.  indices: A tensor of indices into the first dimension of
ref
.  updates: A tensor of updated values to store in
ref
.
Optional attributes (see Attrs
):
 use_locking: If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
Returns:
Output
: = Same asref
. Returned as a convenience for operations that want to use the updated values after the update is done.
Constructors and Destructors 


ScatterUpdate(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates)


ScatterUpdate(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates, const ScatterUpdate::Attrs & attrs)

Public attributes 


output_ref

Public functions 


node() const

::tensorflow::Node *

operator::tensorflow::Input() const


operator::tensorflow::Output() const


Public static functions 


UseLocking(bool x)

Structs 


tensorflow:: 
Optional attribute setters for ScatterUpdate. 
Public attributes
output_ref
::tensorflow::Output output_ref
Public functions
ScatterUpdate
ScatterUpdate( const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates )
ScatterUpdate
ScatterUpdate( const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates, const ScatterUpdate::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const