#include <state_ops.h>
Applies sparse updates to a variable reference.
This operation computes
```python 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:
Variable
node.ref
.ref
.Optional attributes (see Attrs
):
Returns:
Output
: = Same as ref
. 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::ops::ScatterUpdate::Attrs | Optional attribute setters for ScatterUpdate. |
::tensorflow::Output output_ref
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 )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
Attrs UseLocking( bool x )
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/scatter-update.html