org.bytedeco.javacpp

Class tensorflow.ScatterNdUpdate

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ScatterNdUpdate

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.ScatterNdUpdate
extends Pointer

Applies sparse updates to individual values or slices within a given variable according to indices. ref is a Tensor with rank P and indices is a Tensor of rank Q. indices must be integer tensor, containing indices into ref. It must be shape \\([d_0, ..., d_{Q-2}, K]\\) where 0 < K <= P. The innermost dimension of indices (with length K) corresponds to indices into elements (if K = P) or slices (if K < P) along the Kth dimension of ref. updates is Tensor of rank Q-1+P-K with shape: $$[d_0, ..., d_{Q-2}, ref.shape[K], ..., ref.shape[P-1]].$$ For example, say we want to update 4 scattered elements to a rank-1 tensor to 8 elements. In Python, that update would look like this:

 python
      ref = tf.Variable([1, 2, 3, 4, 5, 6, 7, 8])
      indices = tf.constant([[4], [3], [1] ,[7]])
      updates = tf.constant([9, 10, 11, 12])
      update = tf.scatter_nd_update(ref, indices, updates)
      with tf.Session() as sess:
        print sess.run(update)
  

The resulting update to ref would look like this: [1, 11, 3, 10, 9, 6, 7, 12] See tf.scatter_nd for more details about how to make updates to slices. See also tf.scatter_update and tf.batch_scatter_update. Arguments: * scope: A Scope object * ref: A mutable Tensor. Should be from a Variable node. * indices: A Tensor. Must be one of the following types: int32, int64. A tensor of indices into ref. * updates: A Tensor. Must have the same type as ref. A tensor of updated values to add to ref. Optional attributes (see Attrs): * use_locking: An optional bool. Defaults to True. If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. Returns: * Output: Same as ref. Returned as a convenience for operations that want to use the updated values after the update is done.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.ScatterNdUpdate.Attrs Optional attribute setters for ScatterNdUpdate

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
ScatterNdUpdate(Pointer p) Pointer cast constructor.
ScatterNdUpdate(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterNdUpdate(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterNdUpdate.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.ScatterNdUpdate	operation(tensorflow.Operation operation)
tensorflow.Output	output_ref()
tensorflow.ScatterNdUpdate	output_ref(tensorflow.Output output_ref)
static tensorflow.ScatterNdUpdate.Attrs	UseLocking(boolean x)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ScatterNdUpdate

public ScatterNdUpdate(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

ScatterNdUpdate

public ScatterNdUpdate(@Const @ByRef
                       tensorflow.Scope scope,
                       @ByVal
                       tensorflow.Input ref,
                       @ByVal
                       tensorflow.Input indices,
                       @ByVal
                       tensorflow.Input updates)

ScatterNdUpdate

public ScatterNdUpdate(@Const @ByRef
                       tensorflow.Scope scope,
                       @ByVal
                       tensorflow.Input ref,
                       @ByVal
                       tensorflow.Input indices,
                       @ByVal
                       tensorflow.Input updates,
                       @Const @ByRef
                       tensorflow.ScatterNdUpdate.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

UseLocking

@ByVal
public static tensorflow.ScatterNdUpdate.Attrs UseLocking(@Cast(value="bool")
                                                                  boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ScatterNdUpdate operation(tensorflow.Operation operation)

output_ref

@ByRef
public tensorflow.Output output_ref()

output_ref

public tensorflow.ScatterNdUpdate output_ref(tensorflow.Output output_ref)