i use TensorRT-5.1.5.0, cuda9.0

the key code is :

lstm_cell_1 = tf.contrib.rnn.BasicLSTMCell(n_hidden, forget_bias=0.0, state_is_tuple=True)

lstm_cell_2 = tf.contrib.rnn.BasicLSTMCell(n_hidden, forget_bias=0.0, state_is_tuple=True)

lstm_cell_3 = tf.contrib.rnn.BasicLSTMCell(n_hidden, forget_bias=0.0, state_is_tuple=True)

lstm_cells = tf.contrib.rnn.MultiRNNCell([lstm_cell_1, lstm_cell_2, lstm_cell_3], state_is_tuple=True)

when i convert pb to uff:

DEBUG [/mnt/Data/yunjian/py_ann/envs/py36/lib/python3.6/site-packages/uff/converters/tensorflow/converter.py:71] Found input rnn/MultiRNNCellZeroState/BasicLSTMCellZeroState/zeros_1/Const

Converting rnn/MultiRNNCellZeroState/BasicLSTMCellZeroState/zeros_1 as custom op: Fill

when run inference:

[TensorRT] ERROR: UffParser: Validator error: rnn/MultiRNNCellZeroState/BasicLSTMCellZeroState/zeros_1: Unsupported operation _Fill

[TensorRT] ERROR: Network must have at least one output

how can i solve it , thanks