tf.contrib.seq2seq.CustomHelper

Class CustomHelper

Inherits From: Helper

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

Base abstract class that allows the user to customize sampling.

__init__

__init__(
    initialize_fn,
    sample_fn,
    next_inputs_fn,
    sample_ids_shape=None,
    sample_ids_dtype=None
)

Initializer.

Args:

• initialize_fn: callable that returns (finished, next_inputs) for the first iteration.
• sample_fn: callable that takes (time, outputs, state) and emits tensor sample_ids.
• next_inputs_fn: callable that takes (time, outputs, state, sample_ids) and emits (finished, next_inputs, next_state).
• sample_ids_shape: Either a list of integers, or a 1-D Tensor of type int32, the shape of each value in the sample_ids batch. Defaults to a scalar.
• sample_ids_dtype: The dtype of the sample_ids tensor. Defaults to int32.

Properties

batch_size

Batch size of tensor returned by sample.

Returns a scalar int32 tensor.

sample_ids_dtype

DType of tensor returned by sample.

Returns a DType.

sample_ids_shape

Shape of tensor returned by sample, excluding the batch dimension.

Returns a TensorShape.

Methods

tf.contrib.seq2seq.CustomHelper.initialize

initialize(name=None)

Returns (initial_finished, initial_inputs).

tf.contrib.seq2seq.CustomHelper.next_inputs

next_inputs(
    time,
    outputs,
    state,
    sample_ids,
    name=None
)

Returns (finished, next_inputs, next_state).

tf.contrib.seq2seq.CustomHelper.sample

sample(
    time,
    outputs,
    state,
    name=None
)

Returns sample_ids.