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| author | Hsiangkai Wang <hsiangkai.wang@arm.com> | 2024-02-16 11:30:18 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-02-16 11:30:18 +0000 |
| commit | 181d9602f35c476201ecc72c26c00042ad949544 (patch) | |
| tree | 1788032cbf5a0ffeb2657ba7ec0e2ecb09e8ac8b /lldb/test/API/functionalities/plugins/python_os_plugin/TestPythonOSPlugin.py | |
| parent | 2ed2a3ad90934efac12cbeb01cf73afebc01d963 (diff) | |
[mlir][vectorize] Support affine.apply in SuperVectorize (#77968)
We have no need to vectorize affine.apply inside the vectorizing loop.
However, we still need to generate it in the original scalar form. We
have to replace all its operands with the generated scalar operands in
the vectorizing loop, e.g., induction variables.
Diffstat (limited to 'lldb/test/API/functionalities/plugins/python_os_plugin/TestPythonOSPlugin.py')
0 files changed, 0 insertions, 0 deletions