tf.contrib.seq2seq.TrainingHelper

A helper for use during training. Only reads inputs.

Inherits From: Helper

tf.contrib.seq2seq.TrainingHelper(
    inputs, sequence_length, time_major=False, name=None
)

Returned sample_ids are the argmax of the RNN output logits.

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.

Attributes
`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

initialize(
    name=None
)

Returns (initial_finished, initial_inputs).

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

next_inputs_fn for TrainingHelper.

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

Returns sample_ids.