1. 解释“0-dimensional array”的含义 "0-dimensional array"(0维数组)实际上并不是一个传统的数组概念,因为在数学和编程中,数组通常被定义为至少有一维的数据结构,用于存储一系列相同类型的数据元素。然而,在某些上下文或库中,特别是与NumPy等科学计算库相关的环境中,"0-dimensional array" 指的是一个只包含一...
当你看到“IndexError: too many indices for array: array is 0-dimensional, but 1 were indexed”这个错误时,通常是因为你尝试访问一个0维数组(标量)的元素,但代码中提供的索引数量不正确。这个错误可能出现在使用NumPy库或其他类似库时。例如,如果你有一个0维数组(标量),并尝试使用索引访问其元素,就会出现这...
arr[i, j, k] 不知道 0 维怎么表示,总之就是 n 维数组需要 n 个 index 去索引,但是对于 0 维数组你使用了 1 个 index 去索引 解决过程 conv 参数分别是卷积输入矩阵、卷积核( filter )、输出矩阵(全零矩阵)、步长和偏置项,计算的是卷积输出 调用参数逐个打印结果,发现第二个参数打印的是参数地址,并非...
IndexError: boolean index did not match indexed array along dimension 0; dimension is 10 but corresponding boolean dimension is 6 这类错误是因为使用布尔类型对具体位置进行索引时,被索引的个数和布尔个数不对应。(a组数列有10个,bool只有6个,因此报错) 正确操作 IndexError:boolean index did not match ...
[942]IndexError: boolean index did not match indexed array along dimension 0,程序员大本营,技术文章内容聚合第一站。
IndexError: boolean index did not match indexed array along dimension 0; dimension is 9 but corresponding boolean dimension is 8 之后就想看下这个get_support()函数原型,找到官方文档,截个图: 可以看到returns部分,大概意思就是Indices是False,就返回一个类型是boolean的数组,如果indices是True,就返回一个整型...
IndexError: boolean index did not match indexed array along dimension 0; dimension is 0 but corresponding boolean dimension is 1 使用MASK-rcnn训练样本时发现这个问题。 重点解决一下问题: 维度类和标签不匹配,比如2各类 1+2,但是代码写了1+1
In Bash or POSIX shell, is there some general rule for when an array variable represents the entire array, and when it represents the element indexed by 0? For example, It seems that after declare an array variable means the entire array, while in parameter expansion, it means the element...
The method includes upon finding a match for the first stored value and the second stored value, comparing the hash string to each of the set of hash strings in the indexed array having an index value common to both the first set of index values and the second set of index values.Prasad...
boolean index did not match indexed array along dimension 1 IndexError: The shape of the mask [32, 8732] at index 0does not match the shape of the indexed tensor [279424, 1] at index...Read more > richardso21/01-tensor-operations - Jovian 2)...