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::ScopedTimer
Check 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 warnings
Below 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] -1.557918
This 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] 0.5148781
print(times)
#> Microseconds SD Min Max Count
#> add_1 1.122 0 1.122 1.122 1
#> add_2 1.162 0 1.162 1.162 1
#> body 3.336 0 3.336 3.336 1
rcpptimer
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 40.200 15.702 30.106 82.495 10
#> fib_21 46.077 5.327 41.939 54.823 10
#> fib_22 82.943 12.034 74.300 105.910 10
#> fib_23 126.889 25.561 107.472 176.441 10
#> fib_24 219.971 30.446 196.209 264.857 10
#> fib_25 314.441 42.891 277.481 365.857 10
#> fib_body 2821.100 0.000 2821.100 2821.100 1
The 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] 0.3540776
print(times)
#> Microseconds SD Min Max Count
#> add 1.412 0 1.412 1.412 1
Note 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] 2.178516
Note 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] 1.508943
print(times)
#> Nanoseconds SD Min Max Count
#> add 621 0 621 621 1