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ci/tu: Skip more subgroup.clustered vector tests pre-merge.
These have been intermittently timing out on HDK8350/A660, showing up as flakes (then the shader cache gets the re-run to pass, since there are multiple shaders compiled per test). Extending the pre-merge skip set on the other devices should also help tame our runtimes, giving us more room for other important testing (vkd3d, KHR_display). Part-of: <https://gitlab.freedesktop.org/mesa/mesa/-/merge_requests/39568>
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3 changed files with 8 additions and 2 deletions
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@ -63,4 +63,5 @@ spec@glsl-4.20@execution@conversion@frag-conversion-implicit-mat4-dmat4-zero-sig
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# Slow tests that may hit 60s timeout pre-merge, but pass otherwise. 94% CPU
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# used in ir3 create_variant, but no single pass there dominating its time.
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# Just use the scalar/vec2 cases, which are fast enough for CI.
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dEQP-VK.subgroups.clustered.compute.subgroupclustered(min|max|mul)_[iu]64vec[34].*
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dEQP-VK.subgroups.clustered.compute.subgroupclustered(min|max|mul|and|or|xor|add)_[iu]64vec[34].*
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dEQP-VK.subgroups.clustered.compute.subgroupclustered(min|max|mul|and|or|xor|add)_[iu]vec[34].*
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@ -12,7 +12,7 @@ dEQP-VK.subgroups.clustered.compute.subgroupclusteredmin_uint64_t_requiredsubgro
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# Slow tests that may hit 60s timeout pre-merge, but pass otherwise. 94% CPU
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# used in ir3 create_variant, but no single pass there dominating its time.
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# Just use the scalar cases, which are fast enough for CI.
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dEQP-VK.subgroups.clustered.compute.subgroupclustered(min|max|mul)_[iu]64vec[234].*
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dEQP-VK.subgroups.clustered.compute.subgroupclustered(min|max|mul|and|or|xor|add)_[iu]64vec[234].*
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# Speed up pre-merge testing by removing redundant coverage in force-gmem mode
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gmem-dEQP-VK.api.*
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@ -1,3 +1,8 @@
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# Note: skips lists for CI are just a list of lines that, when
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# non-zero-length and not starting with '#', will regex match to
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# delete lines from the test list. Be careful.
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# Slow tests that aren't very useful coverage, but pass otherwise. 94% CPU
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# used in ir3 create_variant, but no single pass there dominating its time.
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# Just use the scalar/vec2 cases, which are fast enough for CI.
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dEQP-VK.subgroups.clustered.*.subgroupclustered(min|max|mul|and|or|xor|add)_[iu]64vec[34].*
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