11.7 — Function template instantiation

In the previous lesson (11.6 -- Function templates), we introduced function templates, and converted a normal max() function into a max<T> function template:

template <typename T>
T max(T x, T y)
{
    return (x < y) ? y : x;
}

In this lesson, we’ll focus on how function templates are used.

Using a function template

Function templates are not actually functions -- their code isn’t compiled or executed directly. Instead, function templates have one job: to generate functions (that are compiled and executed).

To use our max<T> function template, we can make a function call with the following syntax:

max<actual_type>(arg1, arg2); // actual_type is some actual type, like int or double

This looks a lot like a normal function call -- the primary difference is the addition of the type in angled brackets (called a template argument), which specifies the actual type that will be used in place of template type T.

Let’s take a look at this in a simple example:

#include <iostream>

template <typename T>
T max(T x, T y)
{
    return (x < y) ? y : x;
}

int main()
{
    std::cout << max<int>(1, 2) << '\n'; // instantiates and calls function max<int>(int, int)

    return 0;
}

When the compiler encounters the function call max<int>(1, 2), it will determine that a function definition for max<int>(int, int) does not already exist. Consequently, the compiler will implicitly use our max<T> function template to create one.

The process of creating functions (with specific types) from function templates (with template types) is called function template instantiation (or instantiation for short). When a function is instantiated due to a function call, it’s called implicit instantiation. A function that is instantiated from a template is technically called a specialization, but in common language is often called a function instance. The template from which a specialization is produced is called a primary template. Function instances are normal functions in all regards.

The process for instantiating a function is simple: the compiler essentially clones the primary template and replaces the template type (T) with the actual type we’ve specified (int).

So when we call max<int>(1, 2), the function specialization that gets instantiated looks something like this:

template<> // ignore this for now
int max<int>(int x, int y) // the generated function max<int>(int, int)
{
    return (x < y) ? y : x;
}

Here’s the same example as above, showing what the compiler actually compiles after all instantiations are done:

#include <iostream>

// a declaration for our function template (we don't need the definition any more)
template <typename T> 
T max(T x, T y);

template<>
int max<int>(int x, int y) // the generated function max<int>(int, int)
{
    return (x < y) ? y : x;
}

int main()
{
    std::cout << max<int>(1, 2) << '\n'; // instantiates and calls function max<int>(int, int)

    return 0;
}

You can compile this yourself and see that it works. A function template is only instantiated the first time a function call is made in each translation unit. Further calls to the function are routed to the already instantiated function.

Conversely, if no function call is made to a function template, the function template won’t be instantiated in that translation unit.

Let’s do another example:

#include <iostream>

template <typename T>
T max(T x, T y) // function template for max(T, T)
{
    return (x < y) ? y : x;
}

int main()
{
    std::cout << max<int>(1, 2) << '\n';    // instantiates and calls function max<int>(int, int)
    std::cout << max<int>(4, 3) << '\n';    // calls already instantiated function max<int>(int, int)
    std::cout << max<double>(1, 2) << '\n'; // instantiates and calls function max<double>(double, double)

    return 0;
}

This works similarly to the previous example, but our function template will be used to generate two functions this time: one time replacing T with int, and the other time replacing T with double. After all instantiations, the program will look something like this:

#include <iostream>

// a declaration for our function template (we don't need the definition any more)
template <typename T>
T max(T x, T y); 

template<>
int max<int>(int x, int y) // the generated function max<int>(int, int)
{
    return (x < y) ? y : x;
}

template<>
double max<double>(double x, double y) // the generated function max<double>(double, double)
{
    return (x < y) ? y : x;
}

int main()
{
    std::cout << max<int>(1, 2) << '\n';    // instantiates and calls function max<int>(int, int)
    std::cout << max<int>(4, 3) << '\n';    // calls already instantiated function max<int>(int, int)
    std::cout << max<double>(1, 2) << '\n'; // instantiates and calls function max<double>(double, double)

    return 0;
}

One additional thing to note here: when we instantiate max<double>, the instantiated function has parameters of type double. Because we’ve provided int arguments, those arguments will be implicitly converted to double.

Template argument deduction

In most cases, the actual types we want to use for instantiation will match the type of our function parameters. For example:

std::cout << max<int>(1, 2) << '\n'; // specifying we want to call max<int>

In this function call, we’ve specified that we want to replace T with int, but we’re also calling the function with int arguments.

In cases where the type of the arguments match the actual type we want, we do not need to specify the actual type -- instead, we can use template argument deduction to have the compiler deduce the actual type that should be used from the argument types in the function call.

For example, instead of making a function call like this:

std::cout << max<int>(1, 2) << '\n'; // specifying we want to call max<int>

We can do one of these instead:

std::cout << max<>(1, 2) << '\n';
std::cout << max(1, 2) << '\n';

In either case, the compiler will see that we haven’t provided an actual type, so it will attempt to deduce an actual type from the function arguments that will allow it to generate a max() function where all template parameters match the type of the provided arguments. In this example, the compiler will deduce that using function template max<T> with actual type int allows it to instantiate function max<int>(int, int), so that the type of both function parameters (int) matches the type of the provided arguments (int).

The difference between the two cases has to do with how the compiler resolves the function call from a set of overloaded functions. In the top case (with the empty angled brackets), the compiler will only consider max<int> template function overloads when determining which overloaded function to call. In the bottom case (with no angled brackets), the compiler will consider both max<int> template function overloads and max non-template function overloads. When the bottom case results in both a template function and a non-template function that are equally viable, the non-template function will be preferred.

For example:

#include <iostream>

template <typename T>
T max(T x, T y)
{
    std::cout << "called max<int>(int, int)\n";
    return (x < y) ? y : x;
}

int max(int x, int y)
{
    std::cout << "called max(int, int)\n";
    return (x < y) ? y : x;
}

int main()
{
    std::cout << max<int>(1, 2) << '\n'; // calls max<int>(int, int)
    std::cout << max<>(1, 2) << '\n';    // deduces max<int>(int, int) (non-template functions not considered)
    std::cout << max(1, 2) << '\n';      // calls max(int, int)

    return 0;
}

Note how the syntax in the bottom case looks identical to a normal function call! In most cases, this normal function call syntax will be the one we use to call functions instantiated from a function template.

There are a few reasons for this:

• The syntax is more concise.
• It’s rare that we’ll have both a matching non-template function and a function template.
• If we do have a matching non-template function and a matching function template, we will usually prefer the non-template function to be called.

That last point may be non-obvious. A function template has an implementation that works for multiple types -- but as a result, it must be generic. A non-template function only handles a specific combination of types. It can have an implementation that is more optimized or more specialized for those specific types than the function template version. For example:

#include <iostream>

// This function template can handle many types, so its implementation is generic
template <typename T>
void print(T x)
{
    std::cout << x; // print T however it normally prints
}

// This function only needs to consider how to print a bool, so it can specialize how it handles
// printing of a bool
void print(bool x)
{
    std::cout << std::boolalpha << x; // print bool as true or false, not 1 or 0
}

int main()
{
    print<bool>(true); // calls print<bool>(bool) -- prints 1
    std::cout << '\n';

    print<>(true);     // deduces print<bool>(bool) (non-template functions not considered) -- prints 1
    std::cout << '\n';

    print(true);       // calls print(bool) -- prints true
    std::cout << '\n';

    return 0;
}

Function templates with non-template parameters

It’s possible to create function templates that have both template parameters and non-template parameters. The type template parameters can be matched to any type, and the non-template parameters work like the parameters of normal functions.

For example:

// T is a type template parameter
// double is a non-template parameter
// We don't need to provide names for these parameters since they aren't used
template <typename T>
int someFcn(T, double)
{
    return 5;
}

int main()
{
    someFcn(1, 3.4); // matches someFcn(int, double)
    someFcn(1, 3.4f); // matches someFcn(int, double) -- the float is promoted to a double
    someFcn(1.2, 3.4); // matches someFcn(double, double)
    someFcn(1.2f, 3.4); // matches someFcn(float, double)
    someFcn(1.2f, 3.4f); // matches someFcn(float, double) -- the float is promoted to a double

    return 0;
}

This function template has a templated first parameter, but the second parameter is fixed with type double. Note that the return type can also be any type. In this case, our function will always return an int value.

Instantiated functions may not always compile

Consider the following program:

#include <iostream>

template <typename T>
T addOne(T x)
{
    return x + 1;
}

int main()
{
    std::cout << addOne(1) << '\n';
    std::cout << addOne(2.3) << '\n';

    return 0;
}

The compiler will effectively compile and execute this:

#include <iostream>

template <typename T>
T addOne(T x);

template<>
int addOne<int>(int x)
{
    return x + 1;
}

template<>
double addOne<double>(double x)
{
    return x + 1;
}

int main()
{
    std::cout << addOne(1) << '\n';   // calls addOne<int>(int)
    std::cout << addOne(2.3) << '\n'; // calls addOne<double>(double)

    return 0;
}

which will produce the result:

2
3.3

But what if we try something like this?

#include <iostream>
#include <string>

template <typename T>
T addOne(T x)
{
    return x + 1;
}

int main()
{
    std::string hello { "Hello, world!" };
    std::cout << addOne(hello) << '\n';

    return 0;
}

When the compiler tries to resolve addOne(hello) it won’t find a non-template function match for addOne(std::string), but it will find our function template for addOne(T), and determine that it can generate an addOne(std::string) function from it. Thus, the compiler will generate and compile this:

#include <iostream>
#include <string>

template <typename T>
T addOne(T x);

template<>
std::string addOne<std::string>(std::string x)
{
    return x + 1;
}

int main()
{
    std::string hello{ "Hello, world!" };
    std::cout << addOne(hello) << '\n';

    return 0;
}

However, this will generate a compile error, because x + 1 doesn’t make sense when x is a std::string. The obvious solution here is simply not to call addOne() with an argument of type std::string.

Instantiated functions may not always make sense semantically

The compiler will successfully compile an instantiated function template as long as it makes sense syntactically. However, the compiler does not have any way to check that such a function actually makes sense semantically.

For example:

#include <iostream>

template <typename T>
T addOne(T x)
{
    return x + 1;
}

int main()
{
    std::cout << addOne("Hello, world!") << '\n';

    return 0;
}

In this example, we’re calling addOne() on a C-style string literal. What does that actually mean semantically? Who knows!

Perhaps surprisingly, because C++ syntactically allows addition of an integer value to a string literal (we cover this in future lesson 17.9 -- Pointer arithmetic and subscripting), the above example compiles, and produces the following result:

ello, world!

#include <iostream>
#include <string>

template <typename T>
T addOne(T x)
{
    return x + 1;
}

// Use function template specialization to tell the compiler that addOne(const char*) should emit a compilation error
// const char* will match a string literal
template <>
const char* addOne(const char* x) = delete;

int main()
{
    std::cout << addOne("Hello, world!") << '\n'; // compile error

    return 0;
}

Function templates and default arguments for non-template parameters

Just like normal functions, function templates can have default arguments for non-template parameters. Each function instantiated from the template will use the same default argument.

For example:

#include <iostream>

template <typename T>
void print(T val, int times=1)
{
    while (times--)
    {
        std::cout << val;        
    }
}

int main()
{
    print(5);      // print 5 1 time
    print('a', 3); // print 'a' 3 times

    return 0;
}

This prints:

5aaa

Beware function templates with modifiable static local variables

In lesson 7.10 -- Static local variables, we discussed static local variables, which are local variables with static duration (they persist for the lifetime of the program).

When a static local variable is used in a function template, each function instantiated from that template will have a separate version of the static local variable. This is rarely a problem if the static local variable is const. But if the static local variable is one that is modified, the results may not be as expected.

For example:

#include <iostream>

// Here's a function template with a static local variable that is modified
template <typename T>
void printIDAndValue(T value)
{
    static int id{ 0 };
    std::cout << ++id << ") " << value << '\n';
}

int main()
{
    printIDAndValue(12);
    printIDAndValue(13);

    printIDAndValue(14.5);

    return 0;
}

This produces the result:

1) 12
2) 13
1) 14.5

You may have been expecting the last line to print 3) 14.5. However, this is what the compiler actually compiles and executes:

#include <iostream>

template <typename T>
void printIDAndValue(T value);

template <>
void printIDAndValue<int>(int value)
{
    static int id{ 0 };
    std::cout << ++id << ") " << value << '\n';
}

template <>
void printIDAndValue<double>(double value)
{
    static int id{ 0 };
    std::cout << ++id << ") " << value << '\n';
}

int main()
{
    printIDAndValue(12);   // calls printIDAndValue<int>()
    printIDAndValue(13);   // calls printIDAndValue<int>()

    printIDAndValue(14.5); // calls printIDAndValue<double>()

    return 0;
}

Note that printIDAndValue<int> and printIDAndValue<double> each have their own independent static local variable named id, not one that is shared between them.

Generic programming

Because template types can be replaced with any actual type, template types are sometimes called generic types. And because templates can be written agnostically of specific types, programming with templates is sometimes called generic programming. Whereas C++ typically has a strong focus on types and type checking, in contrast, generic programming lets us focus on the logic of algorithms and design of data structures without having to worry so much about type information.

Conclusion

Once you get used to writing function templates, you’ll find they actually don’t take much longer to write than functions with actual types. Function templates can significantly reduce code maintenance and errors by minimizing the amount of code that needs to be written and maintained.

Function templates do have a few drawbacks, and we would be remiss not to mention them. First, the compiler will create (and compile) a function for each function call with a unique set of argument types. So while function templates are compact to write, they can expand into a crazy amount of code, which can lead to code bloat and slow compile times. The bigger downside of function templates is that they tend to produce crazy-looking, borderline unreadable error messages that are much harder to decipher than those of regular functions. These error messages can be quite intimidating, but once you understand what they are trying to tell you, the problems they are pinpointing are often quite straightforward to resolve.

These drawbacks are fairly minor compared with the power and safety that templates bring to your programming toolkit, so use templates liberally anywhere you need type flexibility! A good rule of thumb is to create normal functions at first, and then convert them into function templates if you find you need an overload for different parameter types.