second_argument_type(deprecated in C++17)(removed in C++20)T These member types are obtained via publicly inheritingstd::binary_function<T, T, T>. (until C++11) Member functions operator() returns the remainder from the division of the first argument by the second argument ...
returns the modulus of two arguments (public member function) std::modulus<void>::operator() template<classT,classU> constexprautooperator()(T&&lhs, U&&rhs)const ->decltype(std::forward<T>(lhs)%std::forward<U>(rhs)); Returns the remainder of the division oflhsbyrhs. ...
// functional_modulus.cpp // compile with: /EHsc #include <vector> #include <functional> #include <algorithm> #include <iostream> using namespace std; int main( ) { vector <int> v1, v2, v3 ( 6 ); vector <int>::iterator Iter1, Iter2, Iter3; int i; for ( i = 1 ; i <=...
[docs]classLossL2(Function): [docs]@staticmethoddefforward(ctx,pred_outvar:Tensor,true_outvar:Tensor,lambda_weighting:Tensor,area:Tensor,):ctx.save_for_backward(pred_outvar,true_outvar,lambda_weighting,area)loss=pde_cpp.l2_loss_forward(pred_outvar,true_outvar,lambda_weighting,area)returnloss ...
#include <iostream>#include <iomanip>#include <string>#include <math.h>usingnamespacestd;/** Function declaration section**/voiddisplayMenu();voidgreetUser(string userName);intluckyNumber(intheight,intweight,intbirthMonth);doublesquareRoot(doublenumber);intmain() {intchoice;do{ displayMenu(); co...
The multiplicative operators take operands of arithmetic types. The modulus operator (%) has a stricter requirement in that its operands must be of integral type. (To get the remainder of a floating-point division, use the run-time function,fmod.) The conversions covered inStandard Conversionsare...
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// functional_modulus.cpp // compile with: /EHsc #include <vector> #include <functional> #include <algorithm> #include <iostream> using namespace std; int main( ) { vector <int> v1, v2, v3 ( 6 ); vector <int>::iterator Iter1, Iter2, Iter3; int i; for ( i = 1 ; i <=...
[docs]classLossL2(Function): [docs]@staticmethoddefforward(ctx,pred_outvar:Tensor,true_outvar:Tensor,lambda_weighting:Tensor,area:Tensor,):ctx.save_for_backward(pred_outvar,true_outvar,lambda_weighting,area)loss=pde_cpp.l2_loss_forward(pred_outvar,true_outvar,lambda_weighting,area)returnloss ...