Tensorflow 非零输入阵列的编码器输出零阵列

谁能告诉我这样行吗。我不知道为什么输入的非零数组在编码后会给出零输出。我是新手，我想知道我的代码是否有问题，如果这是正常的，为什么会这样？下面是我的代码。输入中的第五个数组是[0.1.0.1]，相应的输出都是零

k = 4 
n = 4 
M = 2**k 

sess = tf.Session()

s = tf.random.uniform(shape=[10],minval=0,maxval=M,dtype=tf.int32)
s_bin = tf.mod(tf.bitwise.right_shift(tf.expand_dims(s,1), tf.range(4)), 2)
s_in = tf.cast(s_bin, float32)
print(sess.run(s_in))

[[0. 0. 1. 1.]
[0. 0. 0. 1.]
[1. 1. 1. 0.]
[1. 0. 1. 0.]
[0. 1. 0. 1.]
[1. 0. 1. 0.]
[1. 0. 1. 1.]
[1. 1. 1. 0.]
[0. 0. 0. 1.]
[0. 0. 0. 1.]]

tx = tf.keras.layers.Dense(units=k,activation="relu")(s_in)
tx = tf.keras.layers.Dense(units=n,activation=None)(tx) 
x = tx / tf.sqrt(tf.reduce_mean(tf.square(tx)))
sess.run(tf.global_variables_initializer())
print(sess.run(x))

[[-2.493007   -0.43875682 -1.2676991   0.22669221]
[-1.639013   -1.3663911  -0.3158701   0.88604444]
[-0.8698901  -0.81329507 -0.12264011  0.5310494 ]
[-0.8162617   1.59715    -0.7286497  -1.11472   ]
[ 0.          0.          0.          0.        ]
[-1.4972812  -1.1082815  -0.18187419  0.5983099 ]
[-0.8705666   1.0200655  -0.8402947  -0.68893915]
[-1.5335019  -0.3280608  -0.7810408   0.17321311]
[-1.8441036   1.0278493  -1.3127409  -0.7005408 ]
[-1.5730021   0.05295771 -0.8357831  -0.05726543]]