DebugNanCount

public final class DebugNanCount

Debug NaN Value Counter Op.

Counts number of NaNs in the input tensor, for debugging.

Nested Classes

class DebugNanCount.Options Optional attributes for DebugNanCount

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<TInt64>	asOutput() Returns the symbolic handle of the tensor.
static DebugNanCount	create(Scope scope, Operand<? extends TType> input, Options... options) Factory method to create a class wrapping a new DebugNanCount operation.
static DebugNanCount.Options	debugUrls(List<String> debugUrls)
static DebugNanCount.Options	deviceName(String deviceName)
static DebugNanCount.Options	gatedGrpc(Boolean gatedGrpc)
Output<TInt64>	output()
static DebugNanCount.Options	tensorName(String tensorName)

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

From interface org.tensorflow.Operand

abstract Output<TInt64>	asOutput() Returns the symbolic handle of the tensor.
abstract TInt64	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the `Output` of this operand.
abstract Class<TInt64>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "DebugNanCount"

Public Methods

public Output<TInt64> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static DebugNanCount create (Scope scope, Operand<? extends TType> input, Options... options)

Factory method to create a class wrapping a new DebugNanCount operation.

Parameters

scope	current scope
input	Input tensor, non-Reference type.
options	carries optional attributes values

Returns

a new instance of DebugNanCount

public static DebugNanCount.Options debugUrls (List<String> debugUrls)

Parameters

debugUrls	List of URLs to debug targets, e.g., file:///foo/tfdbg_dump, grpc:://localhost:11011.

public static DebugNanCount.Options deviceName (String deviceName)

public static DebugNanCount.Options gatedGrpc (Boolean gatedGrpc)

Parameters

gatedGrpc	Whether this op will be gated. If any of the debug_urls of this debug node is of the grpc:// scheme, when the value of this attribute is set to True, the data will not actually be sent via the grpc stream unless this debug op has been enabled at the debug_url. If all of the debug_urls of this debug node are of the grpc:// scheme and the debug op is enabled at none of them, the output will be an empty Tensor.

gatedGrpc

Whether this op will be gated. If any of the debug_urls of this debug node is of the grpc:// scheme, when the value of this attribute is set to True, the data will not actually be sent via the grpc stream unless this debug op has been enabled at the debug_url. If all of the debug_urls of this debug node are of the grpc:// scheme and the debug op is enabled at none of them, the output will be an empty Tensor.

public Output<TInt64> output ()

public static DebugNanCount.Options tensorName (String tensorName)

Parameters

tensorName	Name of the input tensor.