有没有办法使用tensorflow实现数学去卷积(精确地反转卷积)？如果有的话，请告诉我

import tensorflow as tf

# 输入张量
input_tensor = tf.constant([[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype=tf.float32)
input_tensor = tf.reshape(input_tensor, [1, 3, 3, 1])  # 调整形状为[batch, height, width, channels]

# 卷积核
kernel = tf.constant([[1, 1], [1, 1]], dtype=tf.float32)
kernel = tf.reshape(kernel, [2, 2, 1, 1])  # 调整形状为[height, width, in_channels, out_channels]

# 反卷积操作
output_tensor = tf.nn.conv2d_transpose(input_tensor, kernel, output_shape=[1, 4, 4, 1], strides=[1, 2, 2, 1], padding='SAME')

# 打印结果
with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    result = sess.run(output_tensor)
    print(result)