itosfm.py 文件源码

python
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项目:State-Frequency-Memory-stock-prediction 作者: z331565360 项目源码 文件源码
def get_initial_states(self, x):

        init_state_h = K.zeros_like(x)
        init_state_h = K.sum(init_state_h, axis = 1)
        reducer_s = K.zeros((self.input_dim, self.hidden_dim))
        reducer_f = K.zeros((self.hidden_dim, self.freq_dim))
        reducer_p = K.zeros((self.hidden_dim, self.output_dim))
        init_state_h = K.dot(init_state_h, reducer_s)

        init_state_p = K.dot(init_state_h, reducer_p)

        init_state = K.zeros_like(init_state_h)
        init_freq = K.dot(init_state_h, reducer_f)

        init_state = K.reshape(init_state, (-1, self.hidden_dim, 1))
        init_freq = K.reshape(init_freq, (-1, 1, self.freq_dim))

        init_state_S_re = init_state * init_freq
        init_state_S_im = init_state * init_freq

        init_state_time = K.cast_to_floatx(0.)

        initial_states = [init_state_p, init_state_h, init_state_S_re, init_state_S_im, init_state_time]
        return initial_states
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