// Tests automatic synthesis of Differential type requirement. //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:-cuda -compute -shaderobj -output-using-type //TEST_INPUT:ubuffer(data=[0 0 0 0 0], stride=4):out,name=outputBuffer RWStructuredBuffer 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] __generic static Differential dmul(T a, Differential b) { Differential o = { __realCast(a * __realCast(b.x)), 0.0}; return o; } }; typedef DifferentialPair dpA; [ForwardDifferentiable] 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 b = {0.2}; dpA dpa = dpA(a, b); outputBuffer[0] = __fwd_diff(f)(dpa).d.x; // Expect: 1 } }