CudnnRNNCanonicalToParams

public final class CudnnRNNCanonicalToParams

Converts CudnnRNN params from canonical form to usable form. It supports the projection in LSTM.

Writes a set of weights into the opaque params buffer so they can be used in upcoming training or inferences.

Note that the params buffer may not be compatible across different GPUs. So any save and restoration should be converted to and from the canonical weights and biases.

num_layers: Specifies the number of layers in the RNN model. num_units: Specifies the size of the hidden state. input_size: Specifies the size of the input state. weights: the canonical form of weights that can be used for saving and restoration. They are more likely to be compatible across different generations. biases: the canonical form of biases that can be used for saving and restoration. They are more likely to be compatible across different generations. num_params_weights: number of weight parameter matrix for all layers. num_params_biases: number of bias parameter vector for all layers. rnn_mode: Indicates the type of the RNN model. input_mode: Indicate whether there is a linear projection between the input and The actual computation before the first layer. 'skip_input' is only allowed when input_size == num_units; 'auto_select' implies 'skip_input' when input_size == num_units; otherwise, it implies 'linear_input'. direction: Indicates whether a bidirectional model will be used. dir = (direction == bidirectional) ? 2 : 1 dropout: dropout probability. When set to 0., dropout is disabled. seed: the 1st part of a seed to initialize dropout. seed2: the 2nd part of a seed to initialize dropout. num_proj: The output dimensionality for the projection matrices. If None or 0, no projection is performed.

Nested Classes

class

CudnnRNNCanonicalToParams.Options

Optional attributes for CudnnRNNCanonicalToParams

Constants

String

OP_NAME

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

Public Methods

Output<T>	asOutput() Returns the symbolic handle of the tensor.
static <T extends TNumber> CudnnRNNCanonicalToParams<T>	create(Scope scope, Operand<TInt32> numLayers, Operand<TInt32> numUnits, Operand<TInt32> inputSize, Iterable<Operand<T>> weights, Iterable<Operand<T>> biases, Options... options) Factory method to create a class wrapping a new CudnnRNNCanonicalToParams operation.
static CudnnRNNCanonicalToParams.Options	direction(String direction)
static CudnnRNNCanonicalToParams.Options	dropout(Float dropout)
static CudnnRNNCanonicalToParams.Options	inputMode(String inputMode)
static CudnnRNNCanonicalToParams.Options	numProj(Long numProj)
Output<T>	params()
static CudnnRNNCanonicalToParams.Options	rnnMode(String rnnMode)
static CudnnRNNCanonicalToParams.Options	seed(Long seed)
static CudnnRNNCanonicalToParams.Options	seed2(Long seed2)

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<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	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<T>	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: "CudnnRNNCanonicalToParamsV2"

Public Methods

public Output<T> 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 CudnnRNNCanonicalToParams<T> create (Scope scope, Operand<TInt32> numLayers, Operand<TInt32> numUnits, Operand<TInt32> inputSize, Iterable<Operand<T>> weights, Iterable<Operand<T>> biases, Options... options)

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

Parameters

scope	current scope
options	carries optional attributes values

Returns

• a new instance of CudnnRNNCanonicalToParams

public static CudnnRNNCanonicalToParams.Options direction (String direction)

public static CudnnRNNCanonicalToParams.Options dropout (Float dropout)

public static CudnnRNNCanonicalToParams.Options inputMode (String inputMode)

public static CudnnRNNCanonicalToParams.Options numProj (Long numProj)

public Output<T> params ()

public static CudnnRNNCanonicalToParams.Options rnnMode (String rnnMode)

public static CudnnRNNCanonicalToParams.Options seed (Long seed)

public static CudnnRNNCanonicalToParams.Options seed2 (Long seed2)