ValueError:形状(16，)和(1，16)在tensorflow1.0中不兼容

import tensorflow as tf

# 假设tensor1是形状为(16,)的张量
tensor1 = tf.placeholder(tf.float32, shape=(16,))
# 假设tensor2是形状为(1,16)的张量
tensor2 = tf.placeholder(tf.float32, shape=(1,16))

# 将tensor1 reshape为形状为(1,16)的张量
reshaped_tensor1 = tf.reshape(tensor1, (1,16))

# 进行其他操作，如相加
result = reshaped_tensor1 + tensor2

# 执行计算图
with tf.Session() as sess:
    # 假设给定tensor1和tensor2的值
    feed_dict = {tensor1: [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16], tensor2: [[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]]}
    output = sess.run(result, feed_dict=feed_dict)
    print(output)