71bd73748b835de5ae20bdc90ce4321e47f4c2b2,python/eight_mile/tf/layers.py,,lstm_cell,#Any#Any#,193

Before Change

    num_proj = kwargs.get("projsz")
    if num_proj and num_proj == hsz:
        num_proj = None
    cell = tf.contrib.rnn.LSTMCell(hsz, forget_bias=forget_bias, state_is_tuple=True, num_proj=num_proj)
    skip_conn = bool(kwargs.get("skip_conn", False))
    return tf.nn.rnn_cell.ResidualWrapper(cell) if skip_conn else cell

After Change

    :param forget_bias: (``int``) Defaults to 1
    :return: a cell
    
    return tf.contrib.rnn.LSTMCell(hsz, forget_bias=forget_bias, state_is_tuple=True)


def lstm_cell_w_dropout(hsz, pdrop, forget_bias=1.0, variational=False, training=False):
    Produce a single cell with dropout

Instances