27 lines
887 B
Python
Executable File
27 lines
887 B
Python
Executable File
import numpy as np
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import tensorflow as tf
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from controller import Controller
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from tensorflow.contrib.rnn.python.ops.core_rnn_cell import LSTMStateTuple
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"""
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RNN (cell type LSTM) with 128 hidden layers
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"""
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class RNNController(Controller):
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def init_controller_params(self):
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self.rnn_dim = 128
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self.lstm_cell = tf.contrib.rnn.core_rnn_cell.BasicLSTMCell(self.rnn_dim)
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self.state = tf.Variable(tf.zeros([self.batch_size, self.rnn_dim]), trainable=False)
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self.output = tf.Variable(tf.zeros([self.batch_size, self.rnn_dim]), trainable=False)
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def nn_step(self, X, state):
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X = tf.convert_to_tensor(X)
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return self.lstm_cell(X, state)
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def update_state(self, update):
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return tf.group(self.output.assign(update[0]), self.state.assign(update[1]))
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def get_state(self):
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return LSTMStateTuple(self.output, self.state)
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