yum-mirror/slang

Making it easier to work with shaders

git clone https://git.yummers.dev/yum-mirror/slang

Sai Praveen BangaruAdded `[AutoPyBindCUDA]` for automatic kernel binding + `[PyExport]` for exporting type information (#3209)739c3a7b5

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1.4 KiB35 linesraw
1//TEST:SIMPLE(filecheck=CUDA): -target cuda -line-directive-mode none
2//TEST:SIMPLE(filecheck=TORCH): -target torch -line-directive-mode none
3
4[PyExport("Foo")]
5struct Foo
6{
7    TensorView<float> inValues1;
8    TensorView<float> inValues2;
9}
10
11// CUDA: __global__ void __kernel__myKernel(Foo_[[#]] {{[[:alnum:]_]+}}, TensorView {{[[:alnum:]_]+}})
12[AutoPyBindCUDA]
13[CudaKernel]
14void myKernel(Foo foo, TensorView<float> outValues)
15{
16    if (cudaThreadIdx().x > 0)
17        return;
18    outValues.store(
19        cudaThreadIdx().x,
20        sin(foo.inValues1.load(cudaThreadIdx().x)) * cos(foo.inValues2.load(cudaThreadIdx().x)));
21}
22
23// TORCH:      {{^SLANG_PRELUDE_EXPORT$}}
24// TORCH-NEXT: __kernel__myKernel(Foo_[[#]] {{[[:alnum:]_]+}}, TensorView {{[[:alnum:]_]+}});
25// 
26//
27// TORCH:      {{^SLANG_PRELUDE_EXPORT$}}
28// TORCH-NEXT: void myKernel(std::tuple<uint32_t, uint32_t, uint32_t> {{[[:alnum:]_]+}}, std::tuple<uint32_t, uint32_t, uint32_t> {{[[:alnum:]_]+}}, std::tuple<torch::Tensor, torch::Tensor> {{[[:alnum:]_]+}}, torch::Tensor {{[[:alnum:]_]+}})
29//
30// TORCH:      {{^SLANG_PRELUDE_EXPORT$}}
31// TORCH-NEXT: std::tuple<std::tuple<const char*, const char*, const char*, const char*>, std::tuple<const char*, const char*>, const char*, const char*> __funcinfo__myKernel()
32//
33// TORCH:      {{^SLANG_PRELUDE_EXPORT$}}
34// TORCH-NEXT: std::tuple<std::tuple<const char*, const char*>, std::tuple<const char*, const char*>> __typeinfo__Foo()
35