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History

Matthias Springer 77124386fe [mlir][tensor] Add transform to make tensor.pad loop-independent

Add a transform to make `tensor.pad` and `tensor.empty` ops independent of SCF loop IVs. Such ops can then be hoisted.

E.g.:
```
scf.for %iv = %lb to %ub step %step {
  %high = affine.apply affine_map<(d0)[s0] -> (s0 - d0)> (%i)[%ub]
  %p = tensor.pad %t low[5] high[%high] ...
  ...
}
```
Is transformed to:
```
%high_new = affine.apply affine_map<()[s0, s1] -> (-s0 + s1)> ()[%lb, %ub]
%p_hoistable = tensor.pad %t low[5] high[%high_new]
%dim = tensor.dim %t, %c0
%size = affine.apply affine_map<(d0)[s0, s1] -> (-d0 + s0 + s1 + 5)>(%iv)[%ub, %dim]
%slice = tensor.extract_slice %p_hoistable [0] [%size] [1]
```

Differential Revision: https://reviews.llvm.org/D143910

2023-04-28 11:46:32 +09:00

benchmark/python

[mlir][sparse] Expose SparseTensor passes as enums instead of opaque numbers for vectorization and parallelization options.

2022-09-04 01:39:35 +00:00

cmake/modules

[mlir] Don't use -z,defs on sanitizer builds

2023-03-13 14:04:31 -04:00

docs

[MLIR][doc] Fix the [TOC] tag in two doc

2023-04-25 00:10:26 -07:00

examples

[mlir][Affine][NFC] Wrap dialect in "affine" namespace