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-rw-r--r--tests/autodiff/hlsl-torch-cross-compile.slang55
1 files changed, 55 insertions, 0 deletions
diff --git a/tests/autodiff/hlsl-torch-cross-compile.slang b/tests/autodiff/hlsl-torch-cross-compile.slang
new file mode 100644
index 000000000..5568f26c5
--- /dev/null
+++ b/tests/autodiff/hlsl-torch-cross-compile.slang
@@ -0,0 +1,55 @@
+//TEST:SIMPLE(filecheck=HLSL): -target hlsl -line-directive-mode none -entry computeMain -stage compute
+//TEST:SIMPLE(filecheck=CUDA): -target cuda -line-directive-mode none
+//TEST:SIMPLE(filecheck=TORCH): -target torch -line-directive-mode none
+
+//TEST_INPUT:ubuffer(data=[0 0 0 0 0], stride=4):out,name=outputBuffer
+RWStructuredBuffer<float> outputBuffer;
+
+typedef DifferentialPair<float> dpfloat;
+typedef float.Differential dfloat;
+
+[Differentiable]
+float func1(float x)
+{
+ return x * 4;
+}
+
+[AutoPyBindCUDA]
+[CUDAKernel]
+void torchMain(TensorView<float> v)
+{
+ v[0] = func1(v[0]);
+ v[1] = func1(v[1]);
+}
+
+// Shouldn't see torchMain (or its transformations) anywhere in the HLSL output
+// HLSL-NOT:torchMain
+// HLSL:func1
+// HLSL-NOT:torchMain
+// HLSL:computeMain
+// HLSL-NOT:torchMain
+
+[Differentiable]
+float func2(float a)
+{
+ return a;
+}
+
+[numthreads(1, 1, 1)]
+void computeMain(uint3 dispatchThreadID : SV_DispatchThreadID)
+{
+ {
+ dpfloat dpa = dpfloat(2.0, 1.0);
+ dpfloat dpb = dpfloat(1.5, 1.0);
+
+ outputBuffer[0] = fwd_diff(func1)(dpa).d; // Expect: 1
+ outputBuffer[1] = fwd_diff(func2)(dpfloat(dpa.p, 0.0)).d; // Expect: 0
+ }
+}
+
+// Ensure that the generated CUDA and Torch kernels do have torchMain & its transformations
+
+// TORCH: {{^SLANG_PRELUDE_EXPORT$}}
+// TORCH-NEXT: void __kernel__torchMain(TensorView {{[[:alnum:]_]+}});
+
+// CUDA: __global__ void __kernel__torchMain(TensorView {{[[:alnum:]_]+}})