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#include "Halide.h"
using namespace Halide;
void check_blur_output(const Buffer<int> &out, const Buffer<int> &correct) {
for (int y = 0; y < out.height(); y++) {
for (int x = 0; x < out.width(); x++) {
if (out(x, y) != correct(x, y)) {
printf("out(%d, %d) = %d instead of %d\n",
x, y, out(x, y), correct(x, y));
exit(1);
}
}
}
}
int main(int argc, char **argv) {
// This test is for schedules that crash the compiler found via fuzzing that
// are hard to otherwise reproduce. We don't need to check the output.
Buffer<int> correct;
{
// An unscheduled instance to act as a reference output
Func input("input");
Func local_sum("local_sum");
Func blurry("blurry");
Var x("x"), y("y");
input(x, y) = 2 * x + 5 * y;
RDom r(-2, 5, -2, 5);
local_sum(x, y) = 0;
local_sum(x, y) += input(x + r.x, y + r.y);
blurry(x, y) = cast<int32_t>(local_sum(x, y) / 25);
correct = blurry.realize({32, 32});
}
// https://github.com/halide/Halide/issues/7851
{
Func input("input");
Func local_sum("local_sum");
Func blurry("blurry");
Var x("x"), y("y");
input(x, y) = 2 * x + 5 * y;
RDom r(-2, 5, -2, 5);
local_sum(x, y) = 0;
local_sum(x, y) += input(x + r.x, y + r.y);
blurry(x, y) = cast<int32_t>(local_sum(x, y) / 25);
Var yo("yo"), yi("yi"), xo("xo"), xi("xi"), yo_x_f("yo_x_f"), yo_x_fo("yo_x_fo"), yo_x_fi("yo_x_fi");
blurry.split(y, yo, yi, 2, TailStrategy::RoundUp).fuse(yo, x, yo_x_f).vectorize(yi).split(yo_x_f, yo_x_fo, yo_x_fi, 2, TailStrategy::Predicate).reorder(yo_x_fo, yo_x_fi, yi);
input.split(y, yo, yi, 2, TailStrategy::PredicateStores).fuse(yo, x, yo_x_f).vectorize(yi).split(yo_x_f, yo_x_fo, yo_x_fi, 2, TailStrategy::Predicate).reorder(yo_x_fo, yo_x_fi, yi);
blurry.store_root();
input.compute_at(blurry, yi);
Pipeline p({blurry});
Buffer<int> buf = p.realize({32, 32});
check_blur_output(buf, correct);
}
// https://github.com/halide/Halide/issues/7873
{
Func input("input");
Func local_sum("local_sum");
Func blurry("blurry");
Var x("x"), y("y");
RVar yryf;
input(x, y) = 2 * x + 5 * y;
RDom r(-2, 5, -2, 5, "rdom_r");
local_sum(x, y) = 0;
local_sum(x, y) += input(x + r.x, y + r.y);
blurry(x, y) = cast<int32_t>(local_sum(x, y) / 25);
Var xo, xi;
local_sum.split(x, xo, xi, 4, TailStrategy::PredicateStores);
local_sum.update(0).unscheduled();
Pipeline p({blurry});
Buffer<int> buf = p.realize({32, 32});
check_blur_output(buf, correct);
}
// https://github.com/halide/Halide/issues/7872
{
Func input("input");
Func local_sum("local_sum");
Func blurry("blurry");
Var x("x"), y("y");
RVar yryf;
input(x, y) = 2 * x + 5 * y;
RDom r(-2, 5, -2, 5, "rdom_r");
local_sum(x, y) = 0;
local_sum(x, y) += input(x + r.x, y + r.y);
blurry(x, y) = cast<int32_t>(local_sum(x, y) / 25);
Var xo, xi;
blurry.split(x, xo, xi, 2, TailStrategy::GuardWithIf);
local_sum.store_at(blurry, y).compute_at(blurry, xi);
Pipeline p({blurry});
Buffer<int> buf = p.realize({32, 32});
check_blur_output(buf, correct);
}
// https://github.com/halide/Halide/issues/7891
{
Func input("input");
Func local_sum("local_sum");
Func blurry("blurry");
Var x("x"), y("y");
input(x, y) = 2 * x + 5 * y;
RDom r(-2, 5, -2, 5);
local_sum(x, y) = 0;
local_sum(x, y) += input(x + r.x, y + r.y);
blurry(x, y) = cast<int32_t>(local_sum(x, y) / 25);
Var yo, yi, xo, xi, xio, xii, xiio, xiii;
blurry.split(y, yo, yi, 4, TailStrategy::Auto)
.split(x, xo, xi, 1, TailStrategy::Auto)
.split(xi, xio, xii, 4, TailStrategy::GuardWithIf)
.split(xii, xiio, xiii, 1, TailStrategy::RoundUp);
local_sum.compute_at(blurry, xiio);
input.compute_at(blurry, xiio);
input.store_root();
Pipeline p({blurry});
Buffer<int> buf = p.realize({32, 32});
check_blur_output(buf, correct);
}
// https://github.com/halide/Halide/issues/7892
{
Func input("input");
Func local_sum("local_sum");
Func blurry("blurry");
Var x("x"), y("y");
RVar yryf;
input(x, y) = 2 * x + 5 * y;
RDom r(-2, 5, -2, 5, "rdom_r");
local_sum(x, y) = 0;
local_sum(x, y) += input(x + r.x, y + r.y);
blurry(x, y) = cast<int32_t>(local_sum(x, y) / 25);
Var xo, xi, xoo, xoi, yo, yi;
local_sum.vectorize(x)
.split(x, xo, xi, 2, TailStrategy::PredicateStores)
.split(xo, xoo, xoi, 4, TailStrategy::RoundUp)
.unroll(xoi);
local_sum.update(0).unscheduled();
Pipeline p({blurry});
Buffer<int> buf = p.realize({32, 32});
check_blur_output(buf, correct);
}
// https://github.com/halide/Halide/issues/7906
{
Func input("input");
Func local_sum("local_sum");
Func blurry("blurry");
Var x("x"), y("y");
input(x, y) = 2 * x + 5 * y;
RDom r(-2, 5, -2, 5);
local_sum(x, y) = 0;
local_sum(x, y) += input(x + r.x, y + r.y);
blurry(x, y) = cast<int32_t>(local_sum(x, y) / 25);
Var yo, yi, x_yo_f;
input.vectorize(y).split(y, yo, yi, 2, TailStrategy::ShiftInwards).unroll(x).fuse(x, yo, x_yo_f);
blurry.compute_root();
input.compute_at(blurry, x);
Pipeline p({blurry});
Buffer<int> buf = p.realize({32, 32});
check_blur_output(buf, correct);
}
// https://github.com/halide/Halide/issues/7909
{
Func input("input");
Func local_sum("local_sum");
Func blurry("blurry");
Var x("x"), y("y");
input(x, y) = 2 * x + 5 * y;
RDom r(-2, 5, -2, 5);
local_sum(x, y) = 0;
local_sum(x, y) += input(x + r.x, y + r.y);
blurry(x, y) = cast<int32_t>(local_sum(x, y) / 25);
Var yo, yi;
blurry.split(y, yo, yi, 1, TailStrategy::Auto);
local_sum.compute_at(blurry, yo);
local_sum.store_root();
input.compute_at(local_sum, x);
input.store_root();
Pipeline p({blurry});
Buffer<int> buf = p.realize({32, 32});
check_blur_output(buf, correct);
}
// https://github.com/halide/Halide/issues/8038
{
Func input("input");
Func local_sum("local_sum");
Func blurry("blurry");
Var x("x"), y("y"), yi("yi"), yo("yo"), xi("xi"), xo("xo"), yofxi("yofxi"), yofxio("yofxio"), yofxii("yofxii"), yofxiifyi("yofxiifyi"), yofxioo("yofxioo"), yofxioi("yofxioi");
input(x, y) = 2 * x + 5 * y;
RDom r(-2, 5, -2, 5, "rdom_r");
local_sum(x, y) = 0;
local_sum(x, y) += input(x + r.x, y + r.y);
blurry(x, y) = cast<int32_t>(local_sum(x, y) / 25);
local_sum.split(y, yi, yo, 2, TailStrategy::GuardWithIf).split(x, xi, xo, 5, TailStrategy::Predicate).fuse(yo, xi, yofxi).split(yofxi, yofxio, yofxii, 8, TailStrategy::ShiftInwards).fuse(yofxii, yi, yofxiifyi).split(yofxio, yofxioo, yofxioi, 5, TailStrategy::ShiftInwards).vectorize(yofxiifyi).vectorize(yofxioi);
local_sum.update(0).unscheduled();
blurry.split(x, xo, xi, 5, TailStrategy::Auto);
Pipeline p({blurry});
auto buf = p.realize({32, 32});
check_blur_output(buf, correct);
}
// https://github.com/halide/Halide/issues/7890
{
Func input("input");
Func local_sum("local_sum");
Func blurry("blurry");
Var x("x"), y("y");
RVar yryf;
input(x, y) = 2 * x + 5 * y;
RDom r(-2, 5, -2, 5, "rdom_r");
local_sum(x, y) = 0;
local_sum(x, y) += input(x + r.x, y + r.y);
blurry(x, y) = cast<int32_t>(local_sum(x, y) / 25);
Var yo, yi, xo, xi, u;
blurry.split(y, yo, yi, 2, TailStrategy::Auto);
local_sum.split(x, xo, xi, 4, TailStrategy::Auto);
local_sum.update(0).split(x, xo, xi, 1, TailStrategy::Auto);
local_sum.update(0).rfactor(r.x, u);
blurry.store_root();
local_sum.compute_root();
Pipeline p({blurry});
auto buf = p.realize({32, 32});
check_blur_output(buf, correct);
}
// https://github.com/halide/Halide/issues/8054
{
ImageParam input(Float(32), 2, "input");
const float r_sigma = 0.1;
const int s_sigma = 8;
Func bilateral_grid{"bilateral_grid"};
Var x("x"), y("y"), z("z"), c("c");
// Add a boundary condition
Func clamped = Halide::BoundaryConditions::repeat_edge(input);
// Construct the bilateral grid
RDom r(0, s_sigma, 0, s_sigma);
Expr val = clamped(x * s_sigma + r.x - s_sigma / 2, y * s_sigma + r.y - s_sigma / 2);
val = clamp(val, 0.0f, 1.0f);
Expr zi = cast<int>(val * (1.0f / r_sigma) + 0.5f);
Func histogram("histogram");
histogram(x, y, z, c) = 0.0f;
histogram(x, y, zi, c) += mux(c, {val, 1.0f});
// Blur the grid using a five-tap filter
Func blurx("blurx"), blury("blury"), blurz("blurz");
blurz(x, y, z, c) = (histogram(x, y, z - 2, c) +
histogram(x, y, z - 1, c) * 4 +
histogram(x, y, z, c) * 6 +
histogram(x, y, z + 1, c) * 4 +
histogram(x, y, z + 2, c));
blurx(x, y, z, c) = (blurz(x - 2, y, z, c) +
blurz(x - 1, y, z, c) * 4 +
blurz(x, y, z, c) * 6 +
blurz(x + 1, y, z, c) * 4 +
blurz(x + 2, y, z, c));
blury(x, y, z, c) = (blurx(x, y - 2, z, c) +
blurx(x, y - 1, z, c) * 4 +
blurx(x, y, z, c) * 6 +
blurx(x, y + 1, z, c) * 4 +
blurx(x, y + 2, z, c));
// Take trilinear samples to compute the output
val = clamp(input(x, y), 0.0f, 1.0f);
Expr zv = val * (1.0f / r_sigma);
zi = cast<int>(zv);
Expr zf = zv - zi;
Expr xf = cast<float>(x % s_sigma) / s_sigma;
Expr yf = cast<float>(y % s_sigma) / s_sigma;
Expr xi = x / s_sigma;
Expr yi = y / s_sigma;
Func interpolated("interpolated");
interpolated(x, y, c) =
lerp(lerp(lerp(blury(xi, yi, zi, c), blury(xi + 1, yi, zi, c), xf),
lerp(blury(xi, yi + 1, zi, c), blury(xi + 1, yi + 1, zi, c), xf), yf),
lerp(lerp(blury(xi, yi, zi + 1, c), blury(xi + 1, yi, zi + 1, c), xf),
lerp(blury(xi, yi + 1, zi + 1, c), blury(xi + 1, yi + 1, zi + 1, c), xf), yf),
zf);
// Normalize
bilateral_grid(x, y) = interpolated(x, y, 0) / interpolated(x, y, 1);
Pipeline p({bilateral_grid});
Var v6, zo, vzi;
blury.compute_root().split(x, x, v6, 6, TailStrategy::GuardWithIf).split(z, zo, vzi, 8, TailStrategy::GuardWithIf).reorder(y, x, c, vzi, zo, v6).vectorize(vzi).vectorize(v6);
p.compile_to_module({input}, "bilateral_grid", {Target("host")});
}
printf("Success!\n");
return 0;
}
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