# tf.contrib.seq2seq.InferenceHelper

## Class InferenceHelper

Inherits From: Helper

A helper to use during inference with a custom sampling function.

## Methods

### __init__

__init__(
sample_fn,
sample_shape,
sample_dtype,
start_inputs,
end_fn,
next_inputs_fn=None
)


Initializer.

#### Args:

• sample_fn: A callable that takes outputs and emits tensor sample_ids.
• sample_shape: Either a list of integers, or a 1-D Tensor of type int32, the shape of the each sample in the batch returned by sample_fn.
• sample_dtype: the dtype of the sample returned by sample_fn.
• start_inputs: The initial batch of inputs.
• end_fn: A callable that takes sample_ids and emits a bool vector shaped [batch_size] indicating whether each sample is an end token.
• next_inputs_fn: (Optional) A callable that takes sample_ids and returns the next batch of inputs. If not provided, sample_ids is used as the next batch of inputs.

### initialize

initialize(name=None)


### next_inputs

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


### sample

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