tf.nn.rnn_cell.DropoutWrapper.__init__()

tf.nn.rnn_cell.DropoutWrapper.__init__(cell, input_keep_prob=1.0, output_keep_prob=1.0, seed=None)

Create a cell with added input and/or output dropout.

Dropout is never used on the state.

Args:

• cell: an RNNCell, a projection to output_size is added to it.
• input_keep_prob: unit Tensor or float between 0 and 1, input keep probability; if it is float and 1, no input dropout will be added.
• output_keep_prob: unit Tensor or float between 0 and 1, output keep probability; if it is float and 1, no output dropout will be added.
• seed: (optional) integer, the randomness seed.

Raises:

• TypeError: if cell is not an RNNCell.
• ValueError: if keep_prob is not between 0 and 1.