Graph

public final class Graph

A data flow graph representing a TensorFlow computation.

Instances of a Graph are thread-safe.

WARNING: Resources consumed by the Graph object must be explicitly freed by invoking the close() method then the Graph object is no longer needed.

Nested Classes

interface Graph.WhileSubgraphBuilder Used to instantiate an abstract class which overrides the buildSubgraph method to build a conditional or body subgraph for a while loop. 

Public Constructors

Graph()
Create an empty Graph.

Public Methods

Output[]<?>
addGradients(String prefix, Output[]<?> y, Output[]<?> x, Output[]<?> dx)
Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...

dx are used as initial gradients (which represent the symbolic partial derivatives of some loss function L w.r.t.

Output[]<?>
addGradients(Output<?> y, Output[]<?> x)
Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., dy/dx_1, dy/dx_2...

This is a simplified version of where {@code y is a single output, dx is null and prefix is null.

void
close()
Release resources associated with the Graph.
void
importGraphDef(byte[] graphDef, String prefix)
Import a serialized representation of a TensorFlow graph.
void
importGraphDef(byte[] graphDef)
Import a serialized representation of a TensorFlow graph.
GraphOperationBuilder
opBuilder(String type, String name)
Returns a builder to add Operations to the Graph.
GraphOperation
operation(String name)
Returns the operation (node in the Graph) with the provided name.
Iterator<Operation>
operations()
Iterator over all the Operations in the graph.
byte[]
toGraphDef()
Generate a serialized representation of the Graph.
Output[]<?>
whileLoop(Output[]<?> inputs, Graph.WhileSubgraphBuilder cgBuilder, Graph.WhileSubgraphBuilder bgBuilder, String name)
Builds a while loop.

Inherited Methods

Public Constructors

public Graph ()

Create an empty Graph.

Public Methods

public Output[]<?> addGradients (String prefix, Output[]<?> y, Output[]<?> x, Output[]<?> dx)

Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...

dx are used as initial gradients (which represent the symbolic partial derivatives of some loss function L w.r.t. y). dx must be null or have size of y.

If dx is null, the implementation will use dx of OnesLike for all shapes in y.

prefix is used as the name prefix applied to all nodes added to the graph to compute gradients. It must be unique within the provided graph or the operation will fail.

If prefix is null, then one will be chosen automatically.

Parameters
prefix unique string prefix applied before the names of nodes added to the graph to compute gradients. If null, a default one will be chosen.
y output of the function to derive
x inputs of the function for which partial derivatives are computed
dx if not null, the partial derivatives of some loss function L w.r.t. y
Returns
  • the partial derivatives dy with the size of x

public Output[]<?> addGradients (Output<?> y, Output[]<?> x)

Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., dy/dx_1, dy/dx_2...

This is a simplified version of where {@code y is a single output, dx is null and prefix is null.

Parameters
y output of the function to derive
x inputs of the function for which partial derivatives are computed
Returns
  • the partial derivatives dy with the size of x

public void close ()

Release resources associated with the Graph.

Blocks until there are no active Session instances referring to this Graph. A Graph is not usable after close returns.

public void importGraphDef (byte[] graphDef, String prefix)

Import a serialized representation of a TensorFlow graph.

Parameters
graphDef the serialized representation of a TensorFlow graph.
prefix a prefix that will be prepended to names in graphDef
Throws
IllegalArgumentException if graphDef is not a recognized serialization of a graph.

public void importGraphDef (byte[] graphDef)

Import a serialized representation of a TensorFlow graph.

The serialized representation of the graph, often referred to as a GraphDef, can be generated by toGraphDef() and equivalents in other language APIs.

Throws
IllegalArgumentException if graphDef is not a recognized serialization of a graph.

public GraphOperationBuilder opBuilder (String type, String name)

Returns a builder to add Operations to the Graph.

Parameters
type of the Operation (i.e., identifies the computation to be performed)
name to refer to the created Operation in the graph.
Returns

public GraphOperation operation (String name)

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

Or null if no such operation exists in the Graph.

public Iterator<Operation> operations ()

Iterator over all the Operations in the graph.

The order of iteration is unspecified. Consumers of the iterator will receive no notification should the underlying graph change during iteration.

public byte[] toGraphDef ()

Generate a serialized representation of the Graph.

public Output[]<?> whileLoop (Output[]<?> inputs, Graph.WhileSubgraphBuilder cgBuilder, Graph.WhileSubgraphBuilder bgBuilder, String name)

Builds a while loop.

Parameters
inputs the loop inputs
cgBuilder WhileSubgraphBuilder to build the conditional subgraph
bgBuilder WhileSubgraphBuilder to build the body subgraph
name name for the loop
Returns
  • list of loop outputs, of the same length as inputs