org.bytedeco.javacpp

Class tensorflow.TensorArraySplit

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.TensorArraySplit

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Split the data from the input value into TensorArray elements. Assuming that lengths takes on values

 (n0, n1, ..., n(T-1))

and that value has shape

 (n0 + n1 + ... + n(T-1) x d0 x d1 x ...)

, this splits values into a TensorArray with T tensors. TensorArray index t will be the subtensor of values with starting position

 (n0 + n1 + ... + n(t-1), 0, 0, ...)

and having size

 nt x d0 x d1 x ...

Arguments: * scope: A Scope object * handle: The handle to a TensorArray. * value: The concatenated tensor to write to the TensorArray. * lengths: The vector of lengths, how to split the rows of value into the TensorArray. * flow_in: A float scalar that enforces proper chaining of operations. Returns: * Output: A float scalar that enforces proper chaining of operations.

Nested Class Summary

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
TensorArraySplit(Pointer p) Pointer cast constructor.
TensorArraySplit(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input value, tensorflow.Input lengths, tensorflow.Input flow_in)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Output	flow_out()
tensorflow.TensorArraySplit	flow_out(tensorflow.Output flow_out)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.TensorArraySplit	operation(tensorflow.Operation operation)

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

TensorArraySplit

public TensorArraySplit(Pointer p)

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

TensorArraySplit

public TensorArraySplit(@Const @ByRef
                        tensorflow.Scope scope,
                        @ByVal
                        tensorflow.Input handle,
                        @ByVal
                        tensorflow.Input value,
                        @ByVal
                        tensorflow.Input lengths,
                        @ByVal
                        tensorflow.Input flow_in)

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()

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.TensorArraySplit operation(tensorflow.Operation operation)

flow_out

@ByRef
public tensorflow.Output flow_out()

flow_out

public tensorflow.TensorArraySplit flow_out(tensorflow.Output flow_out)