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

View source

initialize(
    name=None
)

Returns (initial_finished, initial_inputs).

next_inputs

View source

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

next_inputs_fn for TrainingHelper.

sample

View source

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

Returns sample_ids.