ValueError: matmul: Input operand 1 does not have enough dimensions (has 0, gufunc core with ...)

在进行矩阵乘法的时候，报以下错误：

ValueError: matmul: Input operand 1 does not have enough dimensions (has 0, gufunc core with signature (n?,k), (k,m?) -> (n?,m?) requires 1)

在博客https://blog.csdn.net/m0_37881992/article/details/106500071中，提到是scipy的banben太高导致的，但是在终端和conda平台尝试多次降低scipy版本都失败了。后来我想到了一个办法，不调用np.matmul，而是改为代码直接计算两个矩阵相乘。

根据：

A=[[1,2,3],[4,5,6]]
A = np.array(A)
B=[[1,2,3],[4,5,6],[7,8,9]]
B=np.array(B)
result = [[sum(a * b for a, b in zip(A_row, B_col)) for B_col in zip(*B)] for A_row in A]

将 R = np.matmul(A,B) ，改为：

R = [[sum(a * b for a, b in zip(A_row, B_col)) for B_col in zip(*B)] for A_row in A]

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