This package provides a simple
timer for Rcpp code. The interface resembles the tictoc R package.
The package wraps cpptimer, a header-only
library that contains a class called CppTimer. rcpptimer
adds this class as Timer to the Rcpp
namespace.
This introduction explains how to use Rcpp::Timer with
Rcpp::cppFunction and how:
Rcpp::Timer::ScopedTimerCheck out the other vignettes for:
Rcpp::sourceCpp
vignette("sourceCpp")vignette("packages")vignette("autoreturn")vignette("advanced")Initializing a timer is simple. There are four constructors available. The default constructor initializes a timer with warnings enabled that will write the results as data.frame called “times” to the R environment:
Rcpp::Timer timer; // default constructor
Rcpp::Timer timer("my_timer"); // Set a custom name for the results
Rcpp::Timer timer(false); // Disable warnings
Rcpp::Timer timer("my_timer", false); // Set a custom name and disable warningsBelow and throughout other vignettes, we will use all four as needed.
With Rcpp::cppFunction, we must add the
depends argument to the function to tell the compiler we
want to link the ‘rcpptimer’ library to the C++ code. Then, we can
construct an instance of the Timer class and use the
tic and toc methods to measure the time it
takes to execute a code block. Here, we allocate some memory to have
something to measure:
Rcpp::cppFunction("
double add(double &x, double &y)
{
Rcpp::Timer timer;
timer.tic();
double z = x + y;
timer.toc();
return(z);
}",
depends = "rcpptimer"
)
add(rnorm(1), runif(1))
#> [1] -0.3804168This function will automatically write a data frame called “times” to
the R environment. Read more about that autoreturn feature
(i.e., how to assign a custom variable name and how to manually handle
the results) in vignette("autoreturn").
The resulting times object has two classes:
data.frame and rcpptimer. We provide a custom
S3 method for printing the results. If it is registered, it may scale
the results to improve readability (see
rcpptimer::print.rcpptimer). Otherwise, it will print the
results using base::print.data.frame.
You can also use multiple timers in the same function. The Timers can
be nested and overlapping. Just pass a string to the tic
and toc methods to distinguish the timers:
Rcpp::cppFunction('
double add(double &x, double &y)
{
Rcpp::Timer timer;
timer.tic("body");
timer.tic("add_1");
timer.tic("add_2");
double z = x + y;
timer.toc("add_1");
timer.toc("add_2");
timer.toc("body");
return(z);
}',
depends = "rcpptimer"
)
add(rnorm(1), runif(1))
#> [1] 2.002165
print(times)
#> Microseconds SD Min Max Count
#> add_1 1.282 0 1.282 1.282 1
#> add_2 1.182 0 1.182 1.182 1
#> body 3.526 0 3.526 3.526 1rcpptimer will group multiple timers with the same name
and calculate summary statistics for them. Consider this more advanced
example, which also uses OpenMP:
// fibonacci.cpp
std::vector<long int> fibonacci_omp(std::vector<long int> n)
{
Rcpp::Timer timer;
// This scoped timer measures the total execution time of 'fibonacci'
Rcpp::Timer::ScopedTimer scpdtmr(timer, "fib_body");
std::vector<long int> results = n;
#pragma omp parallel for
for (unsigned int i = 0; i < n.size(); ++i)
{
timer.tic("fib_" + std::to_string(n[i]));
results[i] = fib(n[i]);
timer.toc("fib_" + std::to_string(n[i]));
}
return (results);
}This function is included in rcpptimer, so we can execute it right away:
results <- rcpptimer::fibonacci_omp(n = rep(20:25, 10))
print(times)
#> Microseconds SD Min Max Count
#> fib_20 39.689 15.775 30.567 75.500 10
#> fib_21 44.348 4.426 41.898 56.595 10
#> fib_22 78.835 2.595 73.346 81.813 10
#> fib_23 113.863 8.199 107.700 132.116 10
#> fib_24 206.534 16.942 194.682 250.587 10
#> fib_25 292.698 16.321 279.660 334.543 10
#> fib_body 2437.448 0.000 2437.448 2437.448 1The ScopedTimer lets you measure the execution time of
scopes. It will call ..tic() upon creation and
.toc() upon destruction. Consider the simple example
below:
Rcpp::cppFunction('
double add(double &x, double &y)
{
Rcpp::Timer timer;
Rcpp::Timer::ScopedTimer scoped_timer(timer, "add");
double z = x + y;
return(z);
}',
depends = "rcpptimer"
)
add(rnorm(1), runif(1))
#> [1] -1.500606
print(times)
#> Microseconds SD Min Max Count
#> add 1.563 0 1.563 1.563 1Note that you only need to initialize the ScopedTimer.
Once it goes out of scope, the timer will automatically be stopped.
The default setting will warn about timers that have been started
using .tic but never stopped using .toc() and
vice versa. This is useful to catch unmatched .tic() and
.toc() calls that may be unmatched due to missing
statements or typos.
For example, the following code will produce two warnings:
Rcpp::cppFunction('
double add(double &x, double &y)
{
Rcpp::Timer timer;
Rcpp::Timer::ScopedTimer scoped_timer(timer, "add");
timer.tic("add");
double z = x + y;
timer.toc("ad");
return(z);
}',
depends = "rcpptimer"
)
add(rnorm(1), runif(1))
#> Warning in add(rnorm(1), runif(1)): Timer "ad" not started yet.
#> Use tic("ad") to start the timer.
#> [1] -1.529994Note that this does not affect terminated timers such as ‘mem’.
These warnings occur at runtime. Unfortunately, we can’t check for this at compile time.
However, you can turn off these warnings by passing
false to the constructor. This is useful if you need
.toc() calls in code blocks that may not get executed,
e.g. in conditional statements. The example below will not produce any
warnings:
Rcpp::cppFunction('
double add(double &x, double &y)
{
Rcpp::Timer timer(false);
Rcpp::Timer::ScopedTimer scoped_timer(timer, "add");
timer.tic("add");
double z = x + y;
timer.toc("ad");
return(z);
}',
depends = "rcpptimer"
)
add(rnorm(1), runif(1))
#> [1] -1.184233
print(times)
#> Nanoseconds SD Min Max Count
#> add 741 0 741 741 1