tf.contrib.crf.CrfForwardRnnCell

class tf.contrib.crf.CrfForwardRnnCell

See the guide: CRF (contrib)

Computes the alpha values in a linear-chain CRF.

See http://www.cs.columbia.edu/~mcollins/fb.pdf for reference.

Properties

output_size

state_size

Methods

__init__(transition_params)

Initialize the CrfForwardRnnCell.

Args:

  • transition_params: A [num_tags, num_tags] matrix of binary potentials. This matrix is expanded into a [1, num_tags, num_tags] in preparation for the broadcast summation occurring within the cell.

zero_state(batch_size, dtype)

Return zero-filled state tensor(s).

Args:

  • batch_size: int, float, or unit Tensor representing the batch size.
  • dtype: the data type to use for the state.

Returns:

If state_size is an int or TensorShape, then the return value is a N-D tensor of shape [batch_size x state_size] filled with zeros.

If state_size is a nested list or tuple, then the return value is a nested list or tuple (of the same structure) of 2-D tensors with the shapes [batch_size x s] for each s in state_size.

Defined in tensorflow/contrib/crf/python/ops/crf.py.