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tutorial/lesson_04_debugging_2.cpp
// Halide tutorial lesson 4: Debugging with tracing, print, and print_when
// This lesson demonstrates how to follow what Halide is doing at runtime.
// On linux, you can compile and run it like so:
// g++ lesson_04*.cpp -g -I ../include -L ../bin -lHalide -lpthread -ldl -o lesson_04 -std=c++11
// LD_LIBRARY_PATH=../bin ./lesson_04
// On os x:
// g++ lesson_04*.cpp -g -I ../include -L ../bin -lHalide -o lesson_04 -std=c++11
// DYLD_LIBRARY_PATH=../bin ./lesson_04
// If you have the entire Halide source tree, you can also build it by
// running:
// make tutorial_lesson_04_debugging_2
// in a shell with the current directory at the top of the halide
// source tree.
#include "Halide.h"
#include <stdio.h>
using namespace Halide;
int main(int argc, char **argv) {
Var x("x"), y("y");
// Printing out the value of Funcs as they are computed.
{
// We'll define our gradient function as before.
Func gradient("gradient");
gradient(x, y) = x + y;
// And tell Halide that we'd like to be notified of all
// evaluations.
gradient.trace_stores();
// Realize the function over an 8x8 region.
printf("Evaluating gradient\n");
Buffer<int> output = gradient.realize(8, 8);
// This will print out all the times gradient(x, y) gets
// evaluated.
// Now that we can snoop on what Halide is doing, let's try our
// first scheduling primitive. We'll make a new version of
// gradient that processes each scanline in parallel.
Func parallel_gradient("parallel_gradient");
parallel_gradient(x, y) = x + y;
// We'll also trace this function.
parallel_gradient.trace_stores();
// Things are the same so far. We've defined the algorithm, but
// haven't said anything about how to schedule it. In general,
// exploring different scheduling decisions doesn't change the code
// that describes the algorithm.
// Now we tell Halide to use a parallel for loop over the y
// coordinate. On Linux we run this using a thread pool and a task
// queue. On OS X we call into grand central dispatch, which does
// the same thing for us.
parallel_gradient.parallel(y);
// This time the printfs should come out of order, because each
// scanline is potentially being processed in a different
// thread. The number of threads should adapt to your system, but
// on linux you can control it manually using the environment
// variable HL_NUM_THREADS.
printf("\nEvaluating parallel_gradient\n");
parallel_gradient.realize(8, 8);
}
// Printing individual Exprs.
{
// trace_stores() can only print the value of a
// Func. Sometimes you want to inspect the value of
// sub-expressions rather than the entire Func. The built-in
// function 'print' can be wrapped around any Expr to print
// the value of that Expr every time it is evaluated.
// For example, say we have some Func that is the sum of two terms:
Func f;
f(x, y) = sin(x) + cos(y);
// If we want to inspect just one of the terms, we can wrap
// 'print' around it like so:
Func g;
g(x, y) = sin(x) + print(cos(y));
printf("\nEvaluating sin(x) + cos(y), and just printing cos(y)\n");
g.realize(4, 4);
}
// Printing additional context.
{
// print can take multiple arguments. It prints all of them
// and evaluates to the first one. The arguments can be Exprs
// or constant strings. This can be used to print additional
// context alongside the value:
Func f;
f(x, y) = sin(x) + print(cos(y), "<- this is cos(", y, ") when x =", x);
printf("\nEvaluating sin(x) + cos(y), and printing cos(y) with more context\n");
f.realize(4, 4);
// It can be useful to split expressions like the one above
// across multiple lines to make it easier to turn on and off
// printing certain values while debugging.
Expr e = cos(y);
// Uncomment the following line to print the value of cos(y)
// e = print(e, "<- this is cos(", y, ") when x =", x);
Func g;
g(x, y) = sin(x) + e;
g.realize(4, 4);
}
// Conditional printing
{
// Both print and trace_stores can produce a lot of output. If
// you're looking for a rare event, or just want to see what
// happens at a single pixel, this amount of output can be
// difficult to dig through. Instead, the function print_when
// can be used to conditionally print an Expr. The first
// argument to print_when is a boolean Expr. If the Expr
// evaluates to true, it returns the second argument and
// prints all of the arguments. If the Expr evaluates to false
// it just returns the second argument and does not print.
Func f;
Expr e = cos(y);
e = print_when(x == 37 && y == 42, e, "<- this is cos(y) at x, y == (37, 42)");
f(x, y) = sin(x) + e;
printf("\nEvaluating sin(x) + cos(y), and printing cos(y) at a single pixel\n");
f.realize(640, 480);
// print_when can also be used to check for values you're not expecting:
Func g;
e = cos(y);
e = print_when(e < 0, e, "cos(y) < 0 at y ==", y);
g(x, y) = sin(x) + e;
printf("\nEvaluating sin(x) + cos(y), and printing whenever cos(y) < 0\n");
g.realize(4, 4);
}
// Printing expressions at compile-time.
{
// The code above builds up a Halide Expr across several lines
// of code. If you're programmatically constructing a complex
// expression, and you want to check the Expr you've created
// is what you think it is, you can also print out the
// expression itself using C++ streams:
Var fizz("fizz"), buzz("buzz");
Expr e = 1;
for (int i = 2; i < 100; i++) {
if (i % 3 == 0 && i % 5 == 0) e += fizz*buzz;
else if (i % 3 == 0) e += fizz;
else if (i % 5 == 0) e += buzz;
else e += i;
}
std::cout << "Printing a complex Expr: " << e << "\n";
}
printf("Success!\n");
return 0;
}