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//DISABLE_TEST(compute):COMPARE_COMPUTE(filecheck-buffer=CHECK):-vk -render-feature cooperative-vector -output-using-type
///TEST(compute):COMPARE_COMPUTE(filecheck-buffer=CHECK):-cpu -output-using-type
// HLSL doesn't support the training operations
//DISABLE_DISABLE_TEST(compute):COMPARE_COMPUTE(filecheck-buffer=CHECK):-dx12 -render-feature cooperative-vector -dx12-experimental -use-dxil -output-using-type -profile cs_6_9 -Xslang... -Xdxc -Vd -X.
// CHECK: type: half
// CHECK-NEXT: 112.000000
// CHECK-NEXT: 2.000000
// CHECK-NEXT: 3.000000
// CHECK-NEXT: 4.000000
//TEST_INPUT:ubuffer(data=[0 0 0 0 ], stride=2):out,name=outputBuffer
RWStructuredBuffer<half> outputBuffer;
//TEST_INPUT:ubuffer(data=[0 0 0 0], stride=4),name=inputA
ByteAddressBuffer inputA;
//TEST_INPUT:ubuffer(data=[0 0 0 0], stride=4),name=output
RWByteAddressBuffer output;
[numthreads(1, 1, 1)]
void computeMain()
{
CoopVec<half, 4> vecA;
for(int i = 0; i < vecA.getCount(); ++i)
vecA[i] = half(i+1);
output.Store(0, half(111));
coopVecReduceSumAccumulate(
vecA,
output,
0,
);
for(int i = 0; i < vecA.getCount(); ++i)
outputBuffer[i] = output.Load<half>(i * 2);
}
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