CharRNNEmbedder

class opennmt.inputters.CharRNNEmbedder(*args, **kwargs)

An inputter that runs a single RNN layer over character embeddings.

Inherits from: opennmt.inputters.CharEmbedder

__init__(embedding_size, num_units, dropout=0.2, cell_class=None, **kwargs)

Initializes the parameters of the character RNN embedder.

Parameters

• embedding_size – The size of the character embedding.

• num_units – The number of units in the RNN layer.

• dropout – The probability to drop units in the embedding and the RNN outputs.

• cell_class – The inner cell class or a callable taking num_units as argument and returning a cell. Defaults to a LSTM cell.

• **kwargs – Additional layer keyword arguments.

Raises

ValueError – if encoding is invalid.

call(features, training=None)

Creates the model input from the features (e.g. word embeddings).

Parameters

• features – A dictionary of tf.Tensor, the output of opennmt.inputters.Inputter.make_features().

• training – Run in training mode.

Returns

The model input.