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| author | jsmall-nvidia <jsmall@nvidia.com> | 2021-05-14 17:32:52 -0400 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-05-14 17:32:52 -0400 |
| commit | 79d106fac18f5792fcac448a0b037aa834fa6042 (patch) | |
| tree | bb2d03de9c28066d32641b62e1bcf098ebc3e2c3 /tests/compute/kernel-context-threading.slang | |
| parent | 12bcc039c2a2c0c69486b670503a7437931d73e4 (diff) | |
Fix for KernelContext threading issue for C++ targets (#1843)
* #include an absolute path didn't work - because paths were taken to always be relative.
* Fix for issue where threading KernelContext was not working on C++ test when there were multiple invocations.
* Improve test for context threading.
Diffstat (limited to 'tests/compute/kernel-context-threading.slang')
| -rw-r--r-- | tests/compute/kernel-context-threading.slang | 49 |
1 files changed, 49 insertions, 0 deletions
diff --git a/tests/compute/kernel-context-threading.slang b/tests/compute/kernel-context-threading.slang new file mode 100644 index 000000000..5cfb171a3 --- /dev/null +++ b/tests/compute/kernel-context-threading.slang @@ -0,0 +1,49 @@ +// kernel-context-threading.slang + +// This test tests out the slang-ir-explicit-global-context functionality for C++ like targets. +// In particular these require that the KernelContext is threaded through functions that access globals. +// Currently this is only really applicable to C++, but for completeness all targets are tested. + +//TEST(compute):COMPARE_COMPUTE_EX:-cpu -compute -output-using-type -compile-arg -O3 -xslang -matrix-layout-row-major -shaderobj +//TEST(compute):COMPARE_COMPUTE_EX:-cuda -compute -output-using-type -compile-arg -O3 -xslang -matrix-layout-row-major -shaderobj +//TEST(compute):COMPARE_COMPUTE_EX:-cuda -compute -output-using-type -compile-arg -O3 -xslang -matrix-layout-row-major -shaderobj +//TEST(compute):COMPARE_COMPUTE_EX:-slang -compute -output-using-type -xslang -matrix-layout-row-major -shaderobj +//TEST(compute):COMPARE_COMPUTE_EX:-slang -compute -output-using-type -dx12 -xslang -matrix-layout-row-major -shaderobj +//TEST(compute, vulkan):COMPARE_COMPUTE_EX:-vk -compute -output-using-type -xslang -matrix-layout-row-major -shaderobj + +//TEST_INPUT:cbuffer(data=[1.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 10.0 20.0 30.0 1.0]):name matrixBuffer +ConstantBuffer<float4x4> matrixBuffer; + +//TEST_INPUT:ubuffer(data=[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0], stride=4):out,name rowOrderMatrixOutput +RWStructuredBuffer<float> rowOrderMatrixOutput; + +void writeRow2(float4 v, int rowIndex) +{ + int baseIndex = rowIndex * 4; + + rowOrderMatrixOutput[baseIndex + 0] = v.x; + rowOrderMatrixOutput[baseIndex + 1] = v.y; + rowOrderMatrixOutput[baseIndex + 2] = v.z; + rowOrderMatrixOutput[baseIndex + 3] = v.w; +} + +// Just to test threading works through multiple levels of functions. +void writeRow(float4 v, int rowIndex) +{ + writeRow2(v, rowIndex); +} + +[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); + + writeRow(M[0], 0); + writeRow(M[1], 1); + writeRow(M[2], 2); + writeRow(M[3], 3); +} |
