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// column-major.slang
// Unfortunately CPU and CUDA only work with row layout, so they have to be disabled here.
//DISABLE_TEST(compute):COMPARE_COMPUTE_EX:-cpu -compute -output-using-type -compile-arg -O3 -shaderobj
//TEST(compute):COMPARE_COMPUTE_EX:-slang -compute -output-using-type -shaderobj -Xslang -matrix-layout-column-major
//TEST(compute):COMPARE_COMPUTE_EX:-slang -compute -output-using-type -dx12 -shaderobj -Xslang -matrix-layout-column-major
//TEST(compute, vulkan):COMPARE_COMPUTE_EX:-vk -compute -output-using-type -shaderobj -Xslang -matrix-layout-column-major
//DISABLE_TEST(compute):COMPARE_COMPUTE_EX:-cuda -compute -output-using-type -shaderobj
//DISABLE_TEST(compute):COMPARE_COMPUTE_EX:-slang -compute -output-using-type -mtl -shaderobj -Xslang -matrix-layout-column-major
// This data is in column major layout order....
//TEST_INPUT:cbuffer(data=[1.0 0.0 0.0 10.0 0.0 1.0 0.0 20.0 0.0 0.0 1.0 30.0 0.0 0.0 0.0 1.0]):name matrixBuffer
ConstantBuffer<float4x4> matrixBuffer;
//TEST_INPUT:ubuffer(data=[0 0 0 0], stride=4):out,name output
RWStructuredBuffer<float> output;
[numthreads(1, 1, 1)]
void computeMain(uint3 tid : SV_DispatchThreadID)
{
float4 v = float4(1, 2, 3, 1);
float4x4 M = matrixBuffer;
float4 r = mul(v, M);
output[0] = r.x;
output[1] = r.y;
output[2] = r.z;
output[3] = r.w;
}
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