org.bytedeco.javacpp

Class tensorflow.ScatterUpdate

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ScatterUpdate

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

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:] or updates.shape = [].

See also tf.batch_scatter_update and tf.scatter_nd_update. 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 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.ScatterUpdate.Attrs Optional attribute setters for ScatterUpdate

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
ScatterUpdate(Pointer p) Pointer cast constructor.
ScatterUpdate(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterUpdate(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterUpdate.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.ScatterUpdate	operation(tensorflow.Operation operation)
tensorflow.Output	output_ref()
tensorflow.ScatterUpdate	output_ref(tensorflow.Output output_ref)
static tensorflow.ScatterUpdate.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

ScatterUpdate

public ScatterUpdate(Pointer p)

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

ScatterUpdate

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

ScatterUpdate

public ScatterUpdate(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input ref,
                     @ByVal
                     tensorflow.Input indices,
                     @ByVal
                     tensorflow.Input updates,
                     @Const @ByRef
                     tensorflow.ScatterUpdate.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.ScatterUpdate.Attrs UseLocking(@Cast(value="bool")
                                                                boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ScatterUpdate operation(tensorflow.Operation operation)

output_ref

@ByRef
public tensorflow.Output output_ref()

output_ref

public tensorflow.ScatterUpdate output_ref(tensorflow.Output output_ref)