lstm_layer copy.py 文件源码

def param_init_decoder(options, params, prefix='decoder'):

    n_x = options['n_x']
    n_h = options['n_h']
    n_z = options['n_z']

    W = np.concatenate([uniform_weight(n_x,n_h),
                        uniform_weight(n_x,n_h),
                        uniform_weight(n_x,n_h),
                        uniform_weight(n_x,n_h)], axis=1)
    params[_p(prefix, 'W')] = W

    U = np.concatenate([ortho_weight(n_h),
                        ortho_weight(n_h),
                        ortho_weight(n_h),
                        ortho_weight(n_h)], axis=1)
    params[_p(prefix, 'U')] = U

    C = np.concatenate([uniform_weight(n_z,n_h),
                        uniform_weight(n_z,n_h),
                        uniform_weight(n_z,n_h),
                        uniform_weight(n_z,n_h)], axis=1)
    params[_p(prefix,'C')] = C

    params[_p(prefix,'b')] = zero_bias(4*n_h)
    params[_p(prefix, 'b')][n_h:2*n_h] = 3*np.ones((n_h,)).astype(theano.config.floatX)


    C0 = uniform_weight(n_z, n_h)
    params[_p(prefix,'C0')] = C0

    params[_p(prefix,'b0')] = zero_bias(n_h)

    params[_p(prefix,'b_y')] = zero_bias(n_x)  # 48

    return params