以下计算所有向量对之间的距离的代码有什么问题？

import numpy as np

def compute_distance(vectors):
    n = len(vectors)
    distances = np.zeros((n, n))
    
    for i in range(n):
        for j in range(n):
            distances[i, j] = np.linalg.norm(vectors[i] - vectors[j])
    
    return distances

import numpy as np

def compute_distance(vectors):
    n = len(vectors)
    distances = np.zeros((n, n))
    
    for i in range(n):
        for j in range(n):
            if vectors[i].shape != vectors[j].shape:
                raise ValueError("Vector dimensions are not consistent.")
            
            distances[i, j] = np.linalg.norm(vectors[i] - vectors[j])
    
    return distances