CudnnRNN

public final class CudnnRNN

A RNN backed by cuDNN.

Computes the RNN from the input and initial states, with respect to the params buffer. Accepts one extra input "sequence_lengths" than CudnnRNN.

rnn_mode: Indicates the type of the RNN model. input_mode: Indicates 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. Should be "unidirectional" or "bidirectional". 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. input: If time_major is true, this is a 3-D tensor with the shape of [seq_length, batch_size, input_size]. If time_major is false, the shape is [batch_size, seq_length, input_size]. input_h: If time_major is true, this is a 3-D tensor with the shape of [num_layer * dir, batch_size, num_units]. If time_major is false, the shape is [batch_size, num_layer * dir, num_units]. input_c: For LSTM, a 3-D tensor with the shape of [num_layer * dir, batch, num_units]. For other models, it is ignored. params: A 1-D tensor that contains the weights and biases in an opaque layout. The size must be created through CudnnRNNParamsSize, and initialized separately. Note that they might not be compatible across different generations. So it is a good idea to save and restore sequence_lengths: a vector of lengths of each input sequence. output: If time_major is true, this is a 3-D tensor with the shape of [seq_length, batch_size, dir * num_units]. If time_major is false, the shape is [batch_size, seq_length, dir * num_units]. output_h: The same shape has input_h. output_c: The same shape as input_c for LSTM. An empty tensor for other models. is_training: Indicates whether this operation is used for inference or training. time_major: Indicates whether the input/output format is time major or batch major. reserve_space: An opaque tensor that can be used in backprop calculation. It is only produced if is_training is true.

Nested Classes

class CudnnRNN.Options Optional attributes for CudnnRNN

Constants

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

Public Methods

static <T extends TNumber > CudnnRNN <T>
create ( Scope scope, Operand <T> input, Operand <T> inputH, Operand <T> inputC, Operand <T> params, Operand < TInt32 > sequenceLengths, Options... options)
Factory method to create a class wrapping a new CudnnRNN operation.
static CudnnRNN.Options
direction (String direction)
static CudnnRNN.Options
dropout (Float dropout)
Output <?>
static CudnnRNN.Options
inputMode (String inputMode)
static CudnnRNN.Options
isTraining (Boolean isTraining)
static CudnnRNN.Options
numProj (Long numProj)
Output <T>
Output <T>
Output <T>
Output <T>
static CudnnRNN.Options
rnnMode (String rnnMode)
static CudnnRNN.Options
seed (Long seed)
static CudnnRNN.Options
seed2 (Long seed2)
static CudnnRNN.Options
timeMajor (Boolean timeMajor)

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "CudnnRNNV3"

Public Methods

public static CudnnRNN <T> create ( Scope scope, Operand <T> input, Operand <T> inputH, Operand <T> inputC, Operand <T> params, Operand < TInt32 > sequenceLengths, Options... options)

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

Parameters
scope current scope
options carries optional attributes values
Returns
  • a new instance of CudnnRNN

public static CudnnRNN.Options direction (String direction)

public static CudnnRNN.Options dropout (Float dropout)

public Output <?> hostReserved ()

public static CudnnRNN.Options inputMode (String inputMode)

public static CudnnRNN.Options isTraining (Boolean isTraining)

public static CudnnRNN.Options numProj (Long numProj)

public Output <T> output ()

public Output <T> outputC ()

public Output <T> outputH ()

public Output <T> reserveSpace ()

public static CudnnRNN.Options rnnMode (String rnnMode)

public static CudnnRNN.Options seed (Long seed)

public static CudnnRNN.Options seed2 (Long seed2)

public static CudnnRNN.Options timeMajor (Boolean timeMajor)