A data flow graph representing a TensorFlow computation.
Instances of a Graph are threadsafe.
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
y s w.r.t x s, i.e.,
d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...

Output[]<?> 
addGradients(Output<?> y, Output[]<?> x)
Adds operations to compute the partial derivatives of sum of
y s w.r.t x s,
i.e., dy/dx_1, dy/dx_2...
This is a simplified version of {@link #addGradients(Output[], Output[], Output[]) where {@code y} is a single output, {@code dx} is null and {@code 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  
GraphOperation 
operation(String name)
Returns the operation (node in the Graph) with the provided name.

Iterator<Operation> 
operations()
Iterator over all the
Operation s 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 y
s w.r.t x
s, 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 ERROR(OnesLike/org.tensorflow.op.core.OnesLike 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 ofx
public Output[]<?> addGradients (Output<?> y, Output[]<?> x)
Adds operations to compute the partial derivatives of sum of y
s w.r.t x
s,
i.e., dy/dx_1, dy/dx_2...
This is a simplified version of {@link #addGradients(Output[], Output[], Output[]) where {@code y} is a single output, {@code dx} is null and {@code 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 ofx
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. 

See Also
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.
Parameters
graphDef 

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

See Also
public GraphOperationBuilder opBuilder (String type, String name)
Returns a builder to add Operation
s 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
 an
OperationBuilder
, which will add the Operation to the graph whenbuild()
is invoked. Ifbuild()
is not invoked, then some resources may leak.
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.
Parameters
name 

public Iterator<Operation> operations ()
Iterator over all the Operation
s 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