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//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 0 0], stride=4):out,name=outputBuffer
RWStructuredBuffer<float> outputBuffer;
typedef DifferentialPair<float> dpfloat;
typedef float.Differential dfloat;
[BackwardDifferentiable]
float f(float x)
{
return x;
}
[BackwardDifferentiable]
float h(float x, float y)
{
float m = x + y;
float n = x - y;
return m * n + 2 * x * y;
}
[BackwardDifferentiable]
float j(float x, float y)
{
float m = x / y;
return m * y;
}
[BackwardDifferentiable]
float k(float x, float y)
{
float m = -x;
return m * y;
}
[numthreads(1, 1, 1)]
void computeMain(uint3 dispatchThreadID : SV_DispatchThreadID)
{
{
dpfloat dpa = dpfloat(2.0, 1.0);
__bwd_diff(f)(dpa, 1.0);
outputBuffer[0] = dpa.d; // Expect: 1
}
{
dpfloat dpa = dpfloat(2.0, 1.0);
dpfloat dpb = dpfloat(1.5, 1.0);
__bwd_diff(h)(dpa, dpb, 1.0);
outputBuffer[1] = dpa.d; // Expect: (2 * 2.0) + (2 * 1.5) = 7.0
outputBuffer[2] = dpb.d; // Expect: -(2 * 1.5) + (2 * 2.0) = 1.0
}
{
dpfloat dpa = dpfloat(2.0, 1.0);
dpfloat dpb = dpfloat(1.5, 1.0);
__bwd_diff(j)(dpa, dpb, 1.0);
outputBuffer[3] = dpa.d; // Expect: 1
outputBuffer[4] = dpb.d; // Expect: 0
}
{
dpfloat dpa = dpfloat(2.0, 1.0);
dpfloat dpb = dpfloat(1.5, 1.0);
__bwd_diff(k)(dpa, dpb, 1.0);
outputBuffer[5] = dpa.d; // Expect: -1.5
outputBuffer[6] = dpb.d; // Expect: -2.0
}
}
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