Computes size of weights that can be used by a Cudnn RNN model.
Return the params size that can be used by the Cudnn RNN model. Subsequent weight allocation and initialization should use this size.
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. 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. params_size: The size of the params buffer that should be allocated and initialized for this RNN model. Note that this params buffer may not be compatible across GPUs. Please use CudnnRNNParamsWeights and CudnnRNNParamsBiases to save and restore them in a way that is compatible across different runs.
Nested Classes
class | CudnnRnnParamsSize.Options | Optional attributes for CudnnRnnParamsSize
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<U> |
asOutput()
Returns the symbolic handle of the tensor.
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static <U extends TNumber, T extends TNumber> CudnnRnnParamsSize<U> | |
static CudnnRnnParamsSize.Options |
direction(String direction)
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static CudnnRnnParamsSize.Options |
dropout(Float dropout)
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static CudnnRnnParamsSize.Options |
inputMode(String inputMode)
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static CudnnRnnParamsSize.Options |
numProj(Long numProj)
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Output<U> | |
static CudnnRnnParamsSize.Options |
rnnMode(String rnnMode)
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static CudnnRnnParamsSize.Options |
seed(Long seed)
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static CudnnRnnParamsSize.Options |
seed2(Long seed2)
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<U> 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 CudnnRnnParamsSize<U> create (Scope scope, Operand<TInt32> numLayers, Operand<TInt32> numUnits, Operand<TInt32> inputSize, Class<T> T, Class<U> S, Options... options)
Factory method to create a class wrapping a new CudnnRnnParamsSize operation.
Parameters
scope | current scope |
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options | carries optional attributes values |
Returns
- a new instance of CudnnRnnParamsSize