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| author | Adam Paszke <apaszke@google.com> | 2023-12-01 15:51:48 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-12-01 15:51:48 +0100 |
| commit | 65aab9e7222025f57c4bfc253d48c7b2ea8581da (patch) | |
| tree | 9d314c05829e98ef789b6a09a27dc8f4cd92663a /llvm/lib/CodeGen/TargetLoweringObjectFileImpl.cpp | |
| parent | 93636581d3589b3b986c0080a82de7fc0bbd01cf (diff) | |
| download | llvm-65aab9e7222025f57c4bfc253d48c7b2ea8581da.zip llvm-65aab9e7222025f57c4bfc253d48c7b2ea8581da.tar.gz llvm-65aab9e7222025f57c4bfc253d48c7b2ea8581da.tar.bz2 | |
[mlir][gpu] Generate multiple rank-specializations for tensor map cre… (#74082)
…ation
The previous code was technically incorrect in that the type indicated
that the memref only has 1 dimension, while the code below was happily
dereferencing the size array out of bounds. Now, if the compiler doesn't
get too smart about optimizations, this code *might even work*. But, if
the compiler realizes that the array has 1 element it might starrt doing
silly things. This generates a specialization per each supported rank,
making sure we don't do any UB.
Diffstat (limited to 'llvm/lib/CodeGen/TargetLoweringObjectFileImpl.cpp')
0 files changed, 0 insertions, 0 deletions