org.bytedeco.javacpp

Class tensorflow.ScatterMul

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ScatterMul

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Multiplies sparse updates into 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. Duplicate entries are handled correctly: if multiple indices reference the same location, their contributions multiply. Requires updates.shape = indices.shape + ref.shape[1:] or updates.shape = []. 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 multiply to ref. Optional attributes (see Attrs): * use_locking: If True, the operation 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.ScatterMul.Attrs Optional attribute setters for ScatterMul

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

Method Summary

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

ScatterMul

public ScatterMul(Pointer p)

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

ScatterMul

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

ScatterMul

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ScatterMul operation(tensorflow.Operation operation)

output_ref

@ByRef
public tensorflow.Output output_ref()

output_ref

public tensorflow.ScatterMul output_ref(tensorflow.Output output_ref)