A B C D E F G H I L M N O P R S T U V W

A

addControlInput(Operation) - Method in class org.tensorflow.OperationBuilder

Ensure that the operation does not execute before the control operation does.

addInput(Output<?>) - Method in class org.tensorflow.OperationBuilder

Returns the builder to create an operation.

addInputList(Output<?>[]) - Method in class org.tensorflow.OperationBuilder

addTarget(String) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() execute operation, but not return any evaluated Tensors.

addTarget(Operation) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() execute operation, but not return any evaluated Tensors.

asOutput() - Method in class org.tensorflow.op.core.Constant

asOutput() - Method in interface org.tensorflow.Operand

Returns the symbolic handle of a tensor.

asOutput() - Method in class org.tensorflow.Output

asOutputs(Iterable<? extends Operand<?>>) - Static method in class org.tensorflow.op.Operands

Converts a list of Operand into an array of Output.

B

booleanValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Boolean tensor.

build() - Method in class org.tensorflow.OperationBuilder

Add the Operation being built to the Graph.

bytesValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar String tensor.

C

close() - Method in class org.tensorflow.Graph

Release resources associated with the Graph.

close() - Method in class org.tensorflow.SavedModelBundle

Releases resources (the Graph and Session) associated with the saved model bundle.

close() - Method in class org.tensorflow.Session

Release resources associated with the Session.

close() - Method in class org.tensorflow.Tensor

Release resources associated with the Tensor.

Constant<T> - Class in org.tensorflow.op.core

An operator producing a constant value.

copyTo(U) - Method in class org.tensorflow.Tensor

Copies the contents of the tensor to dst and returns dst.

create(Scope, Object, Class<T>) - Static method in class org.tensorflow.op.core.Constant

Create a constant from a Java object.

create(Scope, long[], IntBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.INT32 constant with data from the given buffer.

create(Scope, long[], FloatBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.FLOAT constant with data from the given buffer.

create(Scope, long[], DoubleBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.DOUBLE constant with data from the given buffer.

create(Scope, long[], LongBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.INT64 constant with data from the given buffer.

create(Scope, Class<T>, long[], ByteBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a constant with data from the given buffer.

create(Object, Class<T>) - Static method in class org.tensorflow.Tensor

Creates a Tensor from a Java object.

create(Object) - Static method in class org.tensorflow.Tensor

Creates a tensor from an object whose class is inspected to figure out what the underlying data type should be.

create(long[], IntBuffer) - Static method in class org.tensorflow.Tensor

Create a Integer Tensor with data from the given buffer.

create(long[], FloatBuffer) - Static method in class org.tensorflow.Tensor

Create a Float Tensor with data from the given buffer.

create(long[], DoubleBuffer) - Static method in class org.tensorflow.Tensor

Create a Double Tensor with data from the given buffer.

create(long[], LongBuffer) - Static method in class org.tensorflow.Tensor

Create an Long Tensor with data from the given buffer.

create(Class<T>, long[], ByteBuffer) - Static method in class org.tensorflow.Tensor

Create a Tensor of any type with data from the given buffer.

create(String) - Static method in class org.tensorflow.Tensors

Creates a scalar String tensor using the default, UTF-8 encoding.

create(String, Charset) - Static method in class org.tensorflow.Tensors

Creates a scalar String tensor using a specified encoding.

create(float) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single float element.

create(float[]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of float elements.

create(float[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of float elements.

create(float[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of float elements.

create(float[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of float elements.

create(float[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of float elements.

create(float[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-6 tensor of float elements.

create(double) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single double element.

create(double[]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of double elements.

create(double[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of double elements.

create(double[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of double elements.

create(double[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of double elements.

create(double[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of double elements.

create(double[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-6 tensor of double elements.

create(int) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single int element.

create(int[]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of int elements.

create(int[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of int elements.

create(int[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of int elements.

create(int[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of int elements.

create(int[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of int elements.

create(int[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-6 tensor of int elements.

create(byte[]) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single byte element.

create(byte[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of byte elements.

create(byte[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of byte elements.

create(byte[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of byte elements.

create(byte[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of byte elements.

create(byte[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of byte elements.

create(long) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single long element.

create(long[]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of long elements.

create(long[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of long elements.

create(long[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of long elements.

create(long[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of long elements.

create(long[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of long elements.

create(long[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-6 tensor of long elements.

create(boolean) - Static method in class org.tensorflow.Tensors

Creates a scalar tensor containing a single boolean element.

create(boolean[]) - Static method in class org.tensorflow.Tensors

Creates a rank-1 tensor of boolean elements.

create(boolean[][]) - Static method in class org.tensorflow.Tensors

Creates a rank-2 tensor of boolean elements.

create(boolean[][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-3 tensor of boolean elements.

create(boolean[][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-4 tensor of boolean elements.

create(boolean[][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-5 tensor of boolean elements.

create(boolean[][][][][][]) - Static method in class org.tensorflow.Tensors

Creates a rank-6 tensor of boolean elements.

D

DataType - Enum in org.tensorflow

Represents the type of elements in a Tensor as an enum.

dataType() - Method in class org.tensorflow.Output

Returns the DataType of the tensor referred to by this Output.

dataType() - Method in class org.tensorflow.Tensor

Returns the DataType of elements stored in the Tensor.

doubleValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Double tensor.

E

equals(Object) - Method in class org.tensorflow.op.PrimitiveOp

equals(Object) - Method in class org.tensorflow.Operation

equals(Object) - Method in class org.tensorflow.Output

expect(Class<U>) - Method in class org.tensorflow.Tensor

Returns this Tensor object with the type Tensor<U>.

F

feed(String, Tensor<?>) - Method in class org.tensorflow.Session.Runner

Avoid evaluating operation and substitute t for the value it produces.

feed(String, int, Tensor<?>) - Method in class org.tensorflow.Session.Runner

Avoid evaluating the index-th output of operation by substituting t for the value it produces.

feed(Output<?>, Tensor<?>) - Method in class org.tensorflow.Session.Runner

Use t instead of the Tensor referred to by executing the operation referred to by output.

fetch(String) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() return the output of operation.

fetch(String, int) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() return the index-th output of operation.

fetch(Output<?>) - Method in class org.tensorflow.Session.Runner

Makes Session.Runner.run() return the Tensor referred to by output.

floatValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Float tensor.

fromClass(Class<?>) - Static method in enum org.tensorflow.DataType

Returns the DataType of a Tensor whose elements have the type specified by class c.

G

Graph - Class in org.tensorflow

A data flow graph representing a TensorFlow computation.

Graph() - Constructor for class org.tensorflow.Graph

Create an empty Graph.

graph() - Method in class org.tensorflow.op.Scope

Returns the graph managed by this scope.

graph() - Method in class org.tensorflow.SavedModelBundle

Returns the graph that describes the computation performed by the model.

H

hashCode() - Method in class org.tensorflow.op.PrimitiveOp

hashCode() - Method in class org.tensorflow.Operation

hashCode() - Method in class org.tensorflow.Output

I

importGraphDef(byte[]) - Method in class org.tensorflow.Graph

Import a serialized representation of a TensorFlow graph.

importGraphDef(byte[], String) - Method in class org.tensorflow.Graph

Import a serialized representation of a TensorFlow graph.

index() - Method in class org.tensorflow.Output

Returns the index into the outputs of the Operation.

inputListLength(String) - Method in class org.tensorflow.Operation

Returns the size of the given inputs list of Tensors for this operation.

intValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Integer tensor.

L

load(String, String...) - Static method in class org.tensorflow.SavedModelBundle

Load a saved model from an export directory.

loadLibrary(String) - Static method in class org.tensorflow.TensorFlow

Load the dynamic library in filename and register the operations and kernels present in that library.

longValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Long tensor.

M

make(long, long...) - Static method in class org.tensorflow.Shape

Create a Shape representing an N-dimensional value.

makeOpName(String) - Method in class org.tensorflow.op.Scope

Create a unique name for an operator, using a provided default if necessary.

metadata - Variable in class org.tensorflow.Session.Run

(Experimental): Metadata about the run.

metaGraphDef() - Method in class org.tensorflow.SavedModelBundle

Returns the serialized MetaGraphDef protocol buffer associated with the saved model.

N

name() - Method in class org.tensorflow.Operation

Returns the full name of the Operation.

numBytes() - Method in class org.tensorflow.Tensor

Returns the size, in bytes, of the tensor data.

numDimensions() - Method in class org.tensorflow.Shape

Number of dimensions represented by this shape.

numDimensions() - Method in class org.tensorflow.Tensor

Returns the number of dimensions (sometimes referred to as rank) of the Tensor.

numElements() - Method in class org.tensorflow.Tensor

Returns the number of elements in a flattened (1-D) view of the tensor.

numOutputs() - Method in class org.tensorflow.Operation

Returns the number of tensors produced by this operation.

O

Op - Interface in org.tensorflow.op

A marker interface for all operation wrappers.

op() - Method in class org.tensorflow.Output

Returns the Operation that will produce the tensor referred to by this Output.

opBuilder(String, String) - Method in class org.tensorflow.Graph

Returns a builder to add Operations to the Graph.

Operand<T> - Interface in org.tensorflow

Interface implemented by operands of a TensorFlow operation.

Operands - Class in org.tensorflow.op

Utilities for manipulating operand related types and lists.

operation(String) - Method in class org.tensorflow.Graph

Returns the operation (node in the Graph) with the provided name.

operation - Variable in class org.tensorflow.op.PrimitiveOp

Underlying operation.

Operation - Class in org.tensorflow

A Graph node that performs computation on Tensors.

OperationBuilder - Class in org.tensorflow

A builder for Operations in a Graph.

operations() - Method in class org.tensorflow.Graph

Iterator over all the Operations in the graph.

Operator - Annotation Type in org.tensorflow.op.annotation

Annotation used by classes to make TensorFlow operations conveniently accessible via org.tensorflow.op.Ops.

org.tensorflow - package org.tensorflow

Defines classes to build, save, load and execute TensorFlow models.

org.tensorflow.op - package org.tensorflow.op

org.tensorflow.op.annotation - package org.tensorflow.op.annotation

org.tensorflow.op.core - package org.tensorflow.op.core

org.tensorflow.types - package org.tensorflow.types

Defines classes that represent TensorFlow data types.

output(int) - Method in class org.tensorflow.Operation

Returns a symbolic handle to one of the tensors produced by this operation.

Output<T> - Class in org.tensorflow

A symbolic handle to a tensor produced by an Operation.

Output(Operation, int) - Constructor for class org.tensorflow.Output

Handle to the idx-th output of the Operation op.

outputList(int, int) - Method in class org.tensorflow.Operation

Returns symbolic handles to a list of tensors produced by this operation.

outputListLength(String) - Method in class org.tensorflow.Operation

Returns the size of the list of Tensors produced by this operation.

outputs - Variable in class org.tensorflow.Session.Run

Tensors from requested fetches.

P

PrimitiveOp - Class in org.tensorflow.op

A base class for Op implementations that are backed by a single Operation.

PrimitiveOp(Operation) - Constructor for class org.tensorflow.op.PrimitiveOp

Constructor.

R

registeredOpList() - Static method in class org.tensorflow.TensorFlow

All the TensorFlow operations available in this address space.

Run() - Constructor for class org.tensorflow.Session.Run

run() - Method in class org.tensorflow.Session.Runner

Execute the graph fragments necessary to compute all requested fetches.

runAndFetchMetadata() - Method in class org.tensorflow.Session.Runner

Execute graph fragments to compute requested fetches and return metadata about the run.

runner() - Method in class org.tensorflow.Session

Create a Runner to execute graph operations and evaluate Tensors.

Runner() - Constructor for class org.tensorflow.Session.Runner

S

SavedModelBundle - Class in org.tensorflow

SavedModelBundle represents a model loaded from storage.

scalar() - Static method in class org.tensorflow.Shape

Create a Shape representing a scalar value.

Scope - Class in org.tensorflow.op

Manages groups of related properties when creating Tensorflow Operations, such as a common name prefix.

Scope(Graph) - Constructor for class org.tensorflow.op.Scope

Create a new top-level scope.

session() - Method in class org.tensorflow.SavedModelBundle

Returns the Session with which to perform computation using the model.

Session - Class in org.tensorflow

Driver for Graph execution.

Session(Graph) - Constructor for class org.tensorflow.Session

Construct a new session with the associated Graph.

Session(Graph, byte[]) - Constructor for class org.tensorflow.Session

Construct a new session with the associated Graph and configuration options.

Session.Run - Class in org.tensorflow

Output tensors and metadata obtained when executing a session.

Session.Runner - Class in org.tensorflow

Run Operations and evaluate Tensors.

setAttr(String, String) - Method in class org.tensorflow.OperationBuilder

setAttr(String, byte[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, long) - Method in class org.tensorflow.OperationBuilder

setAttr(String, long[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, float) - Method in class org.tensorflow.OperationBuilder

setAttr(String, float[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, boolean) - Method in class org.tensorflow.OperationBuilder

setAttr(String, boolean[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, DataType) - Method in class org.tensorflow.OperationBuilder

setAttr(String, DataType[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, Tensor<?>) - Method in class org.tensorflow.OperationBuilder

setAttr(String, Tensor<?>[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, Shape) - Method in class org.tensorflow.OperationBuilder

setAttr(String, String[]) - Method in class org.tensorflow.OperationBuilder

setDevice(String) - Method in class org.tensorflow.OperationBuilder

setOptions(byte[]) - Method in class org.tensorflow.Session.Runner

(Experimental method): set options (typically for debugging) for this run.

shape() - Method in class org.tensorflow.Output

Returns the (possibly partially known) shape of the tensor referred to by this Output.

Shape - Class in org.tensorflow

The possibly partially known shape of a tensor produced by an operation.

shape() - Method in class org.tensorflow.Tensor

Returns the shape of the Tensor, i.e., the sizes of each dimension.

size(int) - Method in class org.tensorflow.Shape

The size of the i-th dimension.

T

Tensor<T> - Class in org.tensorflow

A statically typed multi-dimensional array whose elements are of a type described by T.

TensorFlow - Class in org.tensorflow

Static utility methods describing the TensorFlow runtime.

TensorFlowException - Exception in org.tensorflow

Unchecked exception thrown when executing TensorFlow Graphs.

Tensors - Class in org.tensorflow

Type-safe factory methods for creating Tensor objects.

toGraphDef() - Method in class org.tensorflow.Graph

Generate a serialized representation of the Graph.

toString() - Method in class org.tensorflow.op.PrimitiveOp

toString() - Method in class org.tensorflow.Operation

toString() - Method in class org.tensorflow.Output

toString() - Method in class org.tensorflow.Shape

Succinct description of the shape meant for debugging.

toString() - Method in class org.tensorflow.Tensor

Returns a string describing the type and shape of the Tensor.

type() - Method in class org.tensorflow.Operation

Returns the type of the operation, i.e., the name of the computation performed by the operation.

U

UInt8 - Class in org.tensorflow.types

Represents an 8-bit unsigned integer.

unknown() - Static method in class org.tensorflow.Shape

Create a Shape representing an unknown number of dimensions.

V

valueOf(String) - Static method in enum org.tensorflow.DataType

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.tensorflow.DataType

Returns an array containing the constants of this enum type, in the order they are declared.

version() - Static method in class org.tensorflow.TensorFlow

Returns the version of the underlying TensorFlow runtime.

W

withName(String) - Method in class org.tensorflow.op.Scope

Return a new scope that uses the provided name for an op.

withSubScope(String) - Method in class org.tensorflow.op.Scope

Returns a new scope where added operations will have the provided name prefix.

writeTo(IntBuffer) - Method in class org.tensorflow.Tensor

Write the data of a Integer tensor into the given buffer.

writeTo(FloatBuffer) - Method in class org.tensorflow.Tensor

Write the data of a Float tensor into the given buffer.

writeTo(DoubleBuffer) - Method in class org.tensorflow.Tensor

Write the data of a Double tensor into the given buffer.

writeTo(LongBuffer) - Method in class org.tensorflow.Tensor

Write the data of a Long tensor into the given buffer.

writeTo(ByteBuffer) - Method in class org.tensorflow.Tensor

Write the tensor data into the given buffer.

A B C D E F G H I L M N O P R S T U V W