import tensorflow as tf
from tensorflow.python.framework.ops import enable_eager_execution
enable_eager_execution()



class MyDenseLayer(tf.keras.layers.Layer):
  def __init__(self, num_outputs):
    super(MyDenseLayer, self).__init__()
    self.num_outputs = num_outputs

  def build(self, input_shape):
    X = tf.random.uniform([int(input_shape[-1]),self.num_outputs],minval=0,maxval=1,dtype=tf.dtypes.float32,)
    k = tf.Variable(X, name="kernel")
    self.kernel = 0.5 * (k+tf.transpose(k))

  def call(self, input):
    return tf.matmul(input, self.kernel)


layer = MyDenseLayer(5)
print(layer(tf.ones([3, 5])))
print(layer.trainable_variables)

print(layer.trainable_variables)

[]