blob: d42cc0159f6b3df67a7f4b4b68ab683c15b320fe (
plain)
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
|
//TEST(compute):COMPARE_COMPUTE_EX(filecheck-buffer=CHECK):-slang -compute -shaderobj -output-using-type
//TEST(compute, vulkan):COMPARE_COMPUTE_EX(filecheck-buffer=CHECK):-vk -compute -shaderobj -output-using-type
//TEST(compute):COMPARE_COMPUTE_EX(filecheck-buffer=CHECK):-cpu -compute -output-using-type -shaderobj
// This is a test modified from autodiff/reverse-struct-multi-write.slang to test that
// tuple types can be autodiff'ed the same way as struct types.
//TEST_INPUT:ubuffer(data=[1 2], stride=4):out,name=outputBuffer
RWStructuredBuffer<float> outputBuffer;
typealias A = Tuple<float, Tuple<float, float>>;
[Differentiable]
A f(A a)
{
// Read/writes to local struct variables won't be SSA'd out by default.
// The backward diff preparation pass will kick in to create temp vars for them.
A aout;
aout._1._1 = 2 * a._1._0;
aout._1._1 = aout._1._1 + 2 * a._1._0;
aout._1._0 = aout._1._1 + 5 * a._1._0;
// The result should be equivalent to:
/*
A aout;
var tmp = 2 * a.x;
tmp = tmp + 2 * a.x;
aout.y = tmp;
aout.x = tmp + 5 * a.x;
*/
return aout;
}
[numthreads(1, 1, 1)]
void computeMain(uint3 dispatchThreadID : SV_DispatchThreadID)
{
A a = makeTuple(1.0, makeTuple(1.0, 2.0));
var dpa = diffPair(a);
A.Differential dout = makeTuple(1.0, makeTuple(1.0, 1.0));
bwd_diff(f)(dpa, dout);
// CHECK: 13
outputBuffer[0] = dpa.d._1._0; // Expect: 13
// CHECK: 0
outputBuffer[1] = dpa.d._1._1; // Expect: 0
}
|