\brief ensure_real xxx: improve later \param complex \return

* @brief Handler called when touching %node @a n. * * @param G %graph for which DFS was invoked. * @param n actual %node. * @param

Complementary error function. \param arg function argument \return 1 minus error function value of \a arg template<typename T> typename enable<expr,T>

Binary exponential. \param arg function argument \return 2 raised to \a arg template<typename T> typename enable<expr,T>::type exp2(T arg) { return fu

Exponential minus one. \param arg function argument \return e raised to \a arg subtracted by 1 template<typename T> typename enable<expr,T>::type expm

Printed format: [ value, ...] value ::= { "start enq : time, "end enq" : time, "start h2d" : time, "end h2d" : time, "start compute" : time, "end comp

Positive difference. \param x first operand \param y second operand \return \a x - \a y or 0 if difference negative template<typename T,typename U> ty

Fused multiply add. \param x first operand \param y second operand \param z third operand \return ( \a x * \a y ) + \a z rounded as one operation. tem

free CPU-pinned memory

* Compute the greatest common divisor of a and b. */

* Compute the greatest common divisor of a and b. */

https://software.intel.com/sites/landingpage/IntrinsicsGuide

There is not a getWeightsName API, so we need to use WeightsRole.

Check if input option exists in input arguments. If it does: set false in value, erase the argument and return true. If it does not: return false.

\brief Returns the device buffer corresponding to tensorName. Returns nullptr if no such tensor can be found.

// Getting feature map for the selected subimage // // API // int getFeatureMaps(const cv::Mat& image, const int k, featureMap **map); // INPUT // ima