org.bytedeco.javacpp

Class tensorflow.RandomUniform

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.RandomUniform

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Outputs random values from a uniform distribution. The generated values follow a uniform distribution in the range [0, 1). The lower bound 0 is included in the range, while the upper bound 1 is excluded. Arguments: * scope: A Scope object * shape: The shape of the output tensor. * dtype: The type of the output. Optional attributes (see Attrs): * seed: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. * seed2: A second seed to avoid seed collision. Returns: * Output: A tensor of the specified shape filled with uniform random values.

Nested Class Summary

Nested Classes

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

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
RandomUniform(Pointer p) Pointer cast constructor.
RandomUniform(tensorflow.Scope scope, tensorflow.Input shape, int dtype)
RandomUniform(tensorflow.Scope scope, tensorflow.Input shape, int dtype, tensorflow.RandomUniform.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.RandomUniform	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.RandomUniform	output(tensorflow.Output output)
static tensorflow.RandomUniform.Attrs	Seed(long x)
static tensorflow.RandomUniform.Attrs	Seed2(long 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

RandomUniform

public RandomUniform(Pointer p)

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

RandomUniform

public RandomUniform(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input shape,
                     @Cast(value="tensorflow::DataType")
                     int dtype)

RandomUniform

public RandomUniform(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input shape,
                     @Cast(value="tensorflow::DataType")
                     int dtype,
                     @Const @ByRef
                     tensorflow.RandomUniform.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()

Seed

@ByVal
public static tensorflow.RandomUniform.Attrs Seed(@Cast(value="tensorflow::int64")
                                                          long x)

Seed2

@ByVal
public static tensorflow.RandomUniform.Attrs Seed2(@Cast(value="tensorflow::int64")
                                                           long x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.RandomUniform operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.RandomUniform output(tensorflow.Output output)