本文整理汇总了C++中WolframLibraryData::MTensor_getDimensions方法的典型用法代码示例。如果您正苦于以下问题：C++ WolframLibraryData::MTensor_getDimensions方法的具体用法？C++ WolframLibraryData::MTensor_getDimensions怎么用？C++ WolframLibraryData::MTensor_getDimensions使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类WolframLibraryData的用法示例。
在下文中一共展示了WolframLibraryData::MTensor_getDimensions方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: demo_T_T
/**
* Constructs a copy of the input tensor with the number of elements,
* rank, and type appended at the end.
**/
DLLEXPORT int demo_T_T(WolframLibraryData libData, mint Argc, MArgument *Args, MArgument Res) {
MTensor T_arg, T_res;
mint i, rank, type, num, len;
mint const* dims;
mint* intData;
mint* intDataNew;
mreal* realData;
mreal* realDataNew;
int err = LIBRARY_NO_ERROR;
T_arg = MArgument_getMTensor(Args[0]);
rank = libData->MTensor_getRank(T_arg);
type = libData->MTensor_getType(T_arg);
dims = libData->MTensor_getDimensions(T_arg);
num = libData->MTensor_getFlattenedLength(T_arg);
/*
The result is going to have all the elements, also
the length of each dimension, number of elems, rank and type.
*/
len = num + rank + 3;
err = libData->MTensor_new(type, 1, &len, &T_res);
if (err) return err;
if ( type == MType_Integer) {
intData = libData->MTensor_getIntegerData(T_arg);
intDataNew = libData->MTensor_getIntegerData(T_res);
for ( i = 0; i < num; i++) {
intDataNew[i] = intData[i];
}
for ( i = 0; i < rank; i++) {
intDataNew[i+num] = dims[i];
}
intDataNew[num+rank] = num;
intDataNew[num+rank+1] = rank;
intDataNew[num+rank+2] = type;
}
else if ( type == MType_Real) {
realData = libData->MTensor_getRealData(T_arg);
realDataNew = libData->MTensor_getRealData(T_res);
for ( i = 0; i < num; i++) {
realDataNew[i] = realData[i];
}
for ( i = 0; i < rank; i++) {
realDataNew[i+num] = dims[i];
}
realDataNew[num+rank] = num;
realDataNew[num+rank+1] = rank;
realDataNew[num+rank+2] = type;
}
MArgument_setMTensor(Res, T_res);
return LIBRARY_NO_ERROR;
}示例2: arraySize
mint arraySize(WolframLibraryData libData, MTensor tensor)
{
mint const* dims = libData->MTensor_getDimensions(tensor);
return dims[0];
}