tf.contrib.seq2seq.TrainingHelper

Class TrainingHelper

Inherits From: Helper

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

A helper for use during training. Only reads inputs.

Returned sample_ids are the argmax of the RNN output logits.

__init__

__init__(
    inputs,
    sequence_length,
    time_major=False,
    name=None
)

Initializer.

Args:

• inputs: A (structure of) input tensors.
• sequence_length: An int32 vector tensor.
• time_major: Python bool. Whether the tensors in inputs are time major. If False (default), they are assumed to be batch major.
• name: Name scope for any created operations.

Raises:

• ValueError: if sequence_length is not a 1D tensor.

Properties

batch_size

Batch size of tensor returned by sample.

Returns a scalar int32 tensor.

inputs

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.

sequence_length

Methods

tf.contrib.seq2seq.TrainingHelper.initialize

initialize(name=None)

Returns (initial_finished, initial_inputs).

tf.contrib.seq2seq.TrainingHelper.next_inputs

next_inputs(
    time,
    outputs,
    state,
    name=None,
    **unused_kwargs
)

next_inputs_fn for TrainingHelper.

tf.contrib.seq2seq.TrainingHelper.sample

sample(
    time,
    outputs,
    name=None,
    **unused_kwargs
)

Returns sample_ids.