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authorSai Praveen Bangaru <31557731+saipraveenb25@users.noreply.github.com>2022-12-08 11:50:55 -0500
committerGitHub <noreply@github.com>2022-12-08 08:50:55 -0800
commit468bb7ecf65c000c308adae511bf65a1ca4cc412 (patch)
tree8042aaa77224d00f14a7267564ce7452ad6de67e /tests/autodiff/reverse-struct-types.slang
parent53e891eb28ceac5f956399c65f2ae27d37f3d724 (diff)
More type support for reverse-mode (#2551)
* Add vector arithmetic test. Make gradient accumulation work for any IRLoad * Added support for general vector types, and split transposition into transpose & materialize to allow emitting the fully accumulated gradient for complex types. * Several bug fixes + finished up support for vector & struct types + removed prop pass * minor fixes (int/uint casts) * Removed IRConstruct * Added some type casts to prevent warnings * minor fix for unused variable
Diffstat (limited to 'tests/autodiff/reverse-struct-types.slang')
-rw-r--r--tests/autodiff/reverse-struct-types.slang62
1 files changed, 62 insertions, 0 deletions
diff --git a/tests/autodiff/reverse-struct-types.slang b/tests/autodiff/reverse-struct-types.slang
new file mode 100644
index 000000000..699e50480
--- /dev/null
+++ b/tests/autodiff/reverse-struct-types.slang
@@ -0,0 +1,62 @@
+
+//TEST(compute):COMPARE_COMPUTE_EX:-slang -compute -shaderobj -output-using-type
+//TEST(compute, vulkan):COMPARE_COMPUTE_EX:-vk -compute -shaderobj -output-using-type
+
+//TEST_INPUT:ubuffer(data=[0 0 0 0 0], stride=4):out,name=outputBuffer
+RWStructuredBuffer<float> outputBuffer;
+
+struct A : IDifferentiable
+{
+ float x;
+ float y;
+
+ [__unsafeForceInlineEarly]
+ static Differential dzero()
+ {
+ Differential b = {0.0, float.dzero()};
+ return b;
+ }
+
+ [__unsafeForceInlineEarly]
+ static Differential dadd(Differential a, Differential b)
+ {
+ Differential o = {a.x + b.x, 0.0};
+ return o;
+ }
+
+ [__unsafeForceInlineEarly]
+ static Differential dmul(This a, Differential b)
+ {
+ Differential o = {a.x * b.x, 0.0};
+ return o;
+ }
+};
+
+typedef DifferentialPair<A> dpA;
+
+[BackwardDifferentiable]
+A f(A a)
+{
+ A aout;
+ aout.y = 2 * a.x;
+ aout.x = 5 * a.x;
+
+ return aout;
+}
+
+[numthreads(1, 1, 1)]
+void computeMain(uint3 dispatchThreadID : SV_DispatchThreadID)
+{
+ {
+ A a = {1.0, 2.0};
+ A.Differential azero = {0.0, 0.0};
+
+ dpA dpa = dpA(a, azero);
+
+ A.Differential dout = {1.0, 1.0};
+
+ __bwd_diff(f)(dpa, dout);
+ outputBuffer[0] = dpa.d.x; // Expect: 10
+ outputBuffer[1] = dpa.d.y; // Expect: 0
+ }
+}