Inference with unseen test videos

For the purpose of inference we build a generator function build_generator replicating the logic of the build_model to define all the model variables and the required TensorFlow ops to load the model and run inference on the same:

    def build_generator(self):
        with tf.device('/cpu:0'):
            self.word_emb = 
            tf.Variable(tf.random_uniform([self.n_words, self.dim_hidden],
                        -0.1, 0.1), name='word_emb')


        self.lstm1 =
        tf.nn.rnn_cell.BasicLSTMCell(self.dim_hidden, state_is_tuple=False)
        self.lstm2 = 
        tf.nn.rnn_cell.BasicLSTMCell(self.dim_hidden, state_is_tuple=False)

        self.encode_W = 
        tf.Variable(tf.random_uniform([self.dim_image,self.dim_hidden], 
                    -0.1, 0.1), name='encode_W')
        self.encode_b = 
        tf.Variable...