如何在tensorflow中将占位符张量的切片添加到1？

import tensorflow as tf

input_tensor = tf.placeholder(tf.float32, shape=[None, 10])  # 假设输入张量的形状为(None, 10)

slice_tensor = tf.slice(input_tensor, [0, 0], [-1, 1])  # 提取从第一行到最后一行，第一列的切片

add_tensor = tf.add(slice_tensor, 1)

import tensorflow as tf

# 创建占位符张量
input_tensor = tf.placeholder(tf.float32, shape=[None, 10])

# 使用tf.slice()函数提取切片
slice_tensor = tf.slice(input_tensor, [0, 0], [-1, 1])

# 将切片添加到1
add_tensor = tf.add(slice_tensor, 1)

# 创建会话并运行计算图
with tf.Session() as sess:
    # 假设输入张量的值为[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]]
    input_value = [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]]
    result = sess.run(add_tensor, feed_dict={input_tensor: input_value})
    print(result)  # 输出[[2]]