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showprofile
Outputs the function profiling results to the console
Calling Sequence
showprofile(fun)
Arguments
- fun
a Scilab function
Description
To use showprofile
on a function, the profiling of this function must have been first activated:
either by using the add_profiling command.
or if the function has beed defined with the deff command, by setting the optional argument of deff to "p".
Once the function has been executed, calling showprofile
outputs to the console the profiling results.
Each printed line contains the profiling results for the corresponding function line (including the header line of the function). That includes the number of calls, the total CPU time spent in that line, a measurement of the interpretor effort to interpret the line, and the source code of that line. An example of output:
|1 |0 |0| function x=fun(n) |1 |0 |0| if n > 0 then |1 |0 |2| x = 0; |200 |0.01 |0| for k = 1:n |200 |3.99 |5| s = svd(rand(n, n)); |... |... |.| ...
Here we can see that the 5th line of the function has been called 200 times, for a total CPU time of 3.99 seconds.
show_profile
looks like to profile, but profile returns a matrix with the profiling results, while show_profile
only prints that results to the console.
Note: due to the precision limit of CPU time measure (typically one micro second), some executed lines which execution is very fast may appear with a CPU total time of 0.
Examples
// Function to be profiled function x=foo(n) if n > 0 then x = 0; for k = 1:n s = svd(rand(n, n)); x = x + s(1); end else x = []; end endfunction // Enables the profiling of the function add_profiling("foo"); // Executes the function foo(200); // Prints the function profiling results to console showprofile(foo)
See Also
- add_profiling — Enables the profiling of a function
- profile — Returns the profiling results of a function
- plotprofile — Displays the profiling charts of a function
- reset_profiling — Resets profiling counters of a function.
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