[CI] Run s_tir/transform tests in the python-unittest stage#19737
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The python-unittest stage enumerates test directories explicitly, and tests/python/s_tir/transform was never enrolled when the transform tests were migrated into the s_tir namespace (apache#18722). As a result the directory has not been exercised by CI at all, which let several regressions land on main unnoticed (since fixed in apache#19729 and apache#19735). Add the directory to TEST_FILES so the s_tir transform passes are covered. GPU-marked tests are filtered by the -m gpu marker selection in the gpuonly variant, so CPU enrollment is safe.
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This pull request adds the "s_tir/transform" directory to the list of test files in the Python unit test script. There are no review comments, and I have no feedback to provide.
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tqchen
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tlopex
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test_cp_async_in_if_then_else compares the generated CUDA source byte-for-byte against a snapshot, and the cse_v* numbering in the generated source is currently nondeterministic across processes, so the snapshot comparison cannot be stable. Mark it xfail (non-strict) with a TODO so the s_tir/transform CI enrollment (apache#19737) is not blocked; the mark goes away once CSE ordering is made deterministic and the snapshot is regenerated (apache#19741).
tlopex
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test_cp_async_in_if_then_else compares the generated CUDA source byte-for-byte against a snapshot, and the cse_v* numbering in the generated source is currently nondeterministic across processes, so the snapshot comparison cannot be stable. Mark it xfail (non-strict) with a TODO so the s_tir/transform CI enrollment (apache#19737) is not blocked; the mark goes away once CSE ordering is made deterministic and the snapshot is regenerated (apache#19741).
spectrometerHBH
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This pr marks it xfail with a TODO so the s_tir/transform CI enrollment (#19737) is not blocked; the mark should be removed once the CSE determinism fix land.
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MasterJH5574
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) This pr marks it xfail with a TODO so the s_tir/transform CI enrollment (apache#19737) is not blocked; the mark should be removed once the CSE determinism fix land. (cherry picked from commit 6e6627e)
MasterJH5574
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Jun 15, 2026
…9737) The python-unittest stage enumerates test directories explicitly, and tests/python/s_tir/transform was never enrolled when the transform tests were migrated into the s_tir namespace (apache#18722). As a result the directory has not been exercised by CI at all, which let several regressions land on main unnoticed Add the directory to TEST_FILES so the s_tir transform passes are covered. GPU-marked tests are filtered by the -m gpu marker selection in the gpuonly variant, so CPU enrollment is safe. (cherry picked from commit 6f9609f)
MasterJH5574
pushed a commit
to MasterJH5574/tvm
that referenced
this pull request
Jun 15, 2026
) This pr marks it xfail with a TODO so the s_tir/transform CI enrollment (apache#19737) is not blocked; the mark should be removed once the CSE determinism fix land. (cherry picked from commit 6e6627e)
MasterJH5574
pushed a commit
to MasterJH5574/tvm
that referenced
this pull request
Jun 15, 2026
…9737) The python-unittest stage enumerates test directories explicitly, and tests/python/s_tir/transform was never enrolled when the transform tests were migrated into the s_tir namespace (apache#18722). As a result the directory has not been exercised by CI at all, which let several regressions land on main unnoticed Add the directory to TEST_FILES so the s_tir transform passes are covered. GPU-marked tests are filtered by the -m gpu marker selection in the gpuonly variant, so CPU enrollment is safe. (cherry picked from commit 6f9609f)
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The python-unittest stage enumerates test directories explicitly, and tests/python/s_tir/transform was never enrolled when the transform tests were migrated into the s_tir namespace (#18722). As a result the directory has not been exercised by CI at all, which let several regressions land on main unnoticed
Add the directory to TEST_FILES so the s_tir transform passes are covered. GPU-marked tests are filtered by the -m gpu marker selection in the gpuonly variant, so CPU enrollment is safe.