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| author | Sai Praveen Bangaru <31557731+saipraveenb25@users.noreply.github.com> | 2022-12-08 11:50:55 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-12-08 08:50:55 -0800 |
| commit | 468bb7ecf65c000c308adae511bf65a1ca4cc412 (patch) | |
| tree | 8042aaa77224d00f14a7267564ce7452ad6de67e /tests/autodiff/reverse-struct-types.slang | |
| parent | 53e891eb28ceac5f956399c65f2ae27d37f3d724 (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.slang | 62 |
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 + } +} |
