1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
|
#include "Halide.h"
// Include the machine-generated .stub.h header file.
#include "example.stub.h"
using namespace Halide;
const int kSize = 32;
void verify(const Buffer<int32_t, 3> &img, float compiletime_factor, float runtime_factor, int channels) {
img.for_each_element([=](int x, int y, int c) {
int expected = (int32_t)(compiletime_factor * runtime_factor * c * (x > y ? x : y));
int actual = img(x, y, c);
assert(expected == actual);
});
}
int main(int argc, char **argv) {
GeneratorContext context(get_jit_target_from_environment());
const float runtime_factor = 4.5f;
// Demonstrate (and test) various ways to use a Stub to invoke a Generator with the JIT.
{
// The simplest way is to just use the Stub's static "generate" method.
//
// The Generator's Input<>s are specified via a struct that is initialized
// via an {initializer-list}, in the order the Input<>s are declared in the Generator.
Func f = example::generate(context, {runtime_factor});
Buffer<int32_t, 3> img = f.realize({kSize, kSize, 3});
verify(img, 1.f, runtime_factor, 3);
}
{
// Of course, we can fill in the Inputs struct by name if we prefer.
example::Inputs inputs;
inputs.runtime_factor = runtime_factor;
Func f = example::generate(context, inputs);
Buffer<int32_t, 3> img = f.realize({kSize, kSize, 3});
verify(img, 1.f, runtime_factor, 3);
}
{
// We can also (optionally) specify non-default values for the Generator's GeneratorParam<> fields.
// Note that we could use an {initializer-list} for this struct, but usually do not:
// the example::GeneratorParams struct is initialized to the correct default values,
// so we usually prefer to set just the fields we want to change.
example::GeneratorParams gp;
gp.compiletime_factor = 2.5f;
Func f = example::generate(context, {runtime_factor}, gp);
Buffer<int32_t, 3> img = f.realize({kSize, kSize, 3});
verify(img, gp.compiletime_factor, runtime_factor, 3);
}
{
// generate() actually returns an Outputs struct, which contains all of the Generator's
// Output<> fields. If there is just a single Output<>,
// you can assign a Func to it directly (as we did in previous examples).
//
// In this case, we'll save it to a temporary to make the typing explicit.
example::Outputs result = example::generate(context, {runtime_factor});
Buffer<int32_t, 3> img = result.realize({kSize, kSize, 3});
verify(img, 1.f, runtime_factor, 3);
}
{
// Alternately, instead of using Generator Stubs, we can just use the Callable interface.
// We can call this on any Generator that is registered in the current process.
Callable example = create_callable_from_generator(context, "example");
Buffer<int32_t, 3> img(kSize, kSize, 3);
int r = example(runtime_factor, img);
assert(r == 0);
verify(img, 1.f, runtime_factor, 3);
}
{
// We can also make an explicitly-typed std::function if we prefer:
auto example = create_callable_from_generator(context, "example").make_std_function<float, Buffer<int32_t, 3>>();
Buffer<int32_t, 3> img(kSize, kSize, 3);
int r = example(runtime_factor, img);
assert(r == 0);
verify(img, 1.f, runtime_factor, 3);
}
printf("Success!\n");
return 0;
}
|
