Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

CudnnRNNV3

public final class CudnnRNNV3

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 CudnnRNNV3.Options Optional attributes for CudnnRNNV3

Public Methods

static <T extends Number> CudnnRNNV3 <T>
create ( Scope scope, Operand <T> input, Operand <T> inputH, Operand <T> inputC, Operand <T> params, Operand <Integer> sequenceLengths, Options... options)
Factory method to create a class wrapping a new CudnnRNNV3 operation.
static CudnnRNNV3.Options
direction (String direction)
static CudnnRNNV3.Options
dropout (Float dropout)
Output <?>
static CudnnRNNV3.Options
inputMode (String inputMode)
static CudnnRNNV3.Options
isTraining (Boolean isTraining)
static CudnnRNNV3.Options
numProj (Long numProj)
Output <T>
Output <T>
Output <T>
Output <T>
static CudnnRNNV3.Options
rnnMode (String rnnMode)
static CudnnRNNV3.Options
seed (Long seed)
static CudnnRNNV3.Options
seed2 (Long seed2)
static CudnnRNNV3.Options
timeMajor (Boolean timeMajor)

Inherited Methods

Public Methods

public static CudnnRNNV3 <T> create ( Scope scope, Operand <T> input, Operand <T> inputH, Operand <T> inputC, Operand <T> params, Operand <Integer> sequenceLengths, Options... options)

Factory method to create a class wrapping a new CudnnRNNV3 operation.

Parameters
scope current scope
options carries optional attributes values
Returns
  • a new instance of CudnnRNNV3

public static CudnnRNNV3.Options direction (String direction)

public static CudnnRNNV3.Options dropout (Float dropout)

public Output <?> hostReserved ()

public static CudnnRNNV3.Options inputMode (String inputMode)

public static CudnnRNNV3.Options isTraining (Boolean isTraining)

public static CudnnRNNV3.Options numProj (Long numProj)

public Output <T> output ()

public Output <T> outputC ()

public Output <T> outputH ()

public Output <T> reserveSpace ()

public static CudnnRNNV3.Options rnnMode (String rnnMode)

public static CudnnRNNV3.Options seed (Long seed)

public static CudnnRNNV3.Options seed2 (Long seed2)

public static CudnnRNNV3.Options timeMajor (Boolean timeMajor)