contrib.seq2seq.BasicDecoder

tf.contrib.seq2seq.BasicDecoder

class tf.contrib.seq2seq.BasicDecoder

Defined in tensorflow/contrib/seq2seq/python/ops/basic_decoder.py.

See the guide: Seq2seq Library (contrib) > Dynamic Decoding

Basic sampling decoder.

Properties

batch_size

output_dtype

output_size

Methods

__init__

__init__(
    cell,
    helper,
    initial_state,
    output_layer=None
)

Initialize BasicDecoder.

Args:

• cell: An RNNCell instance.
• helper: A Helper instance.
• initial_state: A (possibly nested tuple of...) tensors and TensorArrays. The initial state of the RNNCell.
• output_layer: (Optional) An instance of tf.layers.Layer, i.e., tf.layers.Dense. Optional layer to apply to the RNN output prior to storing the result or sampling.

Raises:

• TypeError: if cell, helper or output_layer have an incorrect type.

finalize

finalize(
    outputs,
    final_state,
    sequence_lengths
)

initialize

initialize(name=None)

Initialize the decoder.

Args:

• name: Name scope for any created operations.

Returns:

(finished, first_inputs, initial_state).

step

step(
    time,
    inputs,
    state,
    name=None
)

Perform a decoding step.

Args:

• time: scalar int32 tensor.
• inputs: A (structure of) input tensors.
• state: A (structure of) state tensors and TensorArrays.
• name: Name scope for any created operations.

Returns:

(outputs, next_state, next_inputs, finished).