//TEST(compute):COMPARE_COMPUTE_EX:-slang -compute -shaderobj -output-using-type //TEST(compute, vulkan):COMPARE_COMPUTE_EX:-vk -compute -shaderobj -output-using-type //TEST(compute):COMPARE_COMPUTE_EX:-cpu -compute -output-using-type -shaderobj //TEST_INPUT:ubuffer(data=[0 0 0 0 0], stride=4):out,name=outputBuffer RWStructuredBuffer outputBuffer; struct D : IDifferentiable { float n; float m; } struct C : IDifferentiable { float3 t; float v; } struct B : IDifferentiable { float2 f; C arr[2]; } struct A : IDifferentiable { float x; float y; B fb; C aarr[3]; D dv; }; [BackwardDifferentiable] A f(A a, int i) { A aout; aout.y = 2 * a.x; aout.y = aout.y + 2 * a.x; aout.x = aout.y + 5 * a.x; aout.aarr[1].t = float3(a.y, 0.0, a.x); aout.aarr[1].t = float3(a.y, 1.0, a.x + 1.0); D nd = { a.x * 4.0f, 1.0f }; aout.dv = nd; aout.dv.m = aout.dv.n * 0.5f; // Test that writes to a potentially dynamic address multiple times // is allowed and will propagate the correct derivative. aout.fb.arr[i].v = a.x * 2.0; // since this value is overwritten, the diff will not accumulate to a.x aout.fb.arr[i].v = a.x * 3.0; return aout; } [numthreads(1, 1, 1)] void computeMain(uint3 dispatchThreadID : SV_DispatchThreadID) { A a = {1.0, 2.0}; var dpa = diffPair(a); A.Differential dout = { 1.0, 1.0, { float2(0), { { float3(1.0), 1.0 }, { float3(1.0), 1.0 } } }, { { float3(1.0), 1.0 }, { float3(1.0), 1.0 }, { float3(1.0), 1.0 } }, {1.0, 1.0} }; __bwd_diff(f)(dpa, 1, dout); outputBuffer[0] = dpa.d.x; // Expect: 23 outputBuffer[1] = dpa.d.y; // Expect: 0 }