Matrix multiplication Time Limit: 4000/2000 MS (Java/Others) Memory Limit: 131072/131072 K (Java/Others)Total Submission(s): 1775 Accepted Submission(s): 796 Problem Description Given two matrices A and B of size n×n, find the product of them.
Given two sparse matrices A and B, return the result of AB. You may assume that A's column number is equal to B's row number. Example: A = [ [ 1, 0, 0], [-1, 0, 3] ] B = [ [ 7, 0, 0 ], [ 0, 0, 0 ], [ 0, 0, 1 ] ] | 1 0 0 | | 7 0 0 | | 7 0 0 | AB = | -
一.Tensor a) 张量是torch的基础数据类型 b) 张量的核心是坐标的改变不会改变自身性质. c) 0阶张量为标量(只有数值,没有方向的量),因为它不随坐标的变化发生改变 d) 一阶张量为矢量(即向量),他也不随坐标变化而发生变化 e) 二阶张量为矩阵 f) 生成tensor时的通用参数 i. 转换数值类型: 常见生成tensor的参数:dtyp