31 Commits

Author SHA1 Message Date
Peiming Liu
75ac294b35 [mlir][sparse] support parallel for/reduction in sparsification.
This patch fix the re-revert D135927 (which caused a windows build failure) to re-enable parallel for/reduction. It also fix a warning caused by D137442.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D137565
2022-11-07 18:04:46 +00:00
Stella Stamenova
ec224e3b68 Revert "[mlir][sparse] fix sparse tensor rewriting patterns that do not propagate sparse tensor SSA properly."
This reverts commit 70508b614e6478ba2c3fc79e935e2c68e2d79b71.

This change depends on a reverted change that broke the windows mlir buildbot; reverting to bring remaining mlir bots to green
2022-11-07 09:00:08 -08:00
Stella Stamenova
a2c4ca50ca Revert "[mlir][sparse] support Parallel for/reduction."
This reverts commit 838389780e56f1a198a94f66ea436359466bf5ed.

This broke the windows mlir buildbot: https://lab.llvm.org/buildbot/#/builders/13/builds/27934
2022-11-07 08:48:52 -08:00
Peiming Liu
70508b614e [mlir][sparse] fix sparse tensor rewriting patterns that do not propagate sparse tensor SSA properly.
Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D137468
2022-11-04 23:43:54 +00:00
Peiming Liu
838389780e [mlir][sparse] support Parallel for/reduction.
Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D135927
2022-11-04 22:47:27 +00:00
Aart Bik
5661647e85 [mlir][sparse] build proper insertion chain
The alloc->insert/compress->load chain needs to be
properly represented with an SSA chain now in loops
and if statements to properly reflect the modifying
behavior (runtime support lib is forgiving on breaking
this, but the new codegen is not).

Reviewed By: Peiming

Differential Revision: https://reviews.llvm.org/D136966
2022-10-28 15:58:51 -07:00
Peiming Liu
015bc3464d [mlir][sparse] fix crash when sparsifying broadcast operations.
Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D136866
2022-10-27 17:43:22 +00:00
Peiming Liu
b0f8057e4c [mlir][sparse] use loop emitter to generate loop in sparsification
Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D136185
2022-10-26 00:27:56 +00:00
bixia1
b056d0bb69 [mlir][sparse] Refactor the convert operator conversion to support codegen for the operator.
Outline the code that generates the loop structure to iterate over a dense
tensor or a sparse constant to genDenseTensorOrSparseConstantIterLoop.

Move a few routines to CodegenUtils for sharing.

Reviewed By: wrengr

Differential Revision: https://reviews.llvm.org/D136210
2022-10-21 08:52:47 -07:00
Peiming Liu
26eb2c6b42 [mlir][sparse] remove vector support in sparsification
Sparse compiler used to generate vectorized code for sparse tensors computation, but it should really be delegated to other vectorization passes for better progressive lowering.

 https://discourse.llvm.org/t/rfc-structured-codegen-beyond-rectangular-arrays/64707

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D136183
2022-10-19 18:11:29 +00:00
wren romano
0e77b63bc0 [mlir][sparse] Use the runtime DimLevelType instead of a separate tablegen enum
This differential replaces all uses of SparseTensorEncodingAttr::DimLevelType with DimLevelType.  The next differential will break out a separate library for the DimLevelType enum, so that the Dialect code doesn't need to depend on the rest of the runtime

Depends On D135995

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D135996
2022-10-18 13:45:26 -07:00
wren romano
d9affadd00 [mlir][sparse] rename the values of the runtime DimLevelType
This change is to make way for reusing the DimLevelType enum in lieu of the SparseTensorEncodingAttr::DimLevelType enum, but broken out to make it quick and easy to review

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D135995
2022-10-18 12:08:19 -07:00
bixia1
5f919cd439 [mlir][sparse] Move routines for generating memref.alloca to CodegenUtils.
This is to allow the use of the routines in the rewrite pass.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D135890
2022-10-16 08:22:02 -07:00
Mehdi Amini
add7bf150c Apply clang-tidy fixes for performance-unnecessary-copy-initialization in CodegenUtils.cpp (NFC) 2022-10-12 16:22:43 +00:00
bixia1
2d252a0f5c [mlir][sparse] Move a few routines to CodegenUtils.
Move a few supporting routines for generating function calls to CodegenUtils so
that they can be used by the codegen path for sparse tensor file input and
output.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D135691
2022-10-11 14:42:18 -07:00
Peiming Liu
1ab2bd0aab [mlir][sparse] support singleton in loop emitter.
Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D135185
2022-10-04 18:42:54 +00:00
bixia1
349bceba65 [mlir][sparse] Refactor the conversion of the tensor reshape operators.
Move genReshapeDstShape to codegen utils to support the rewriting of the tensor
reshape operators for the codegen path.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D135074
2022-10-03 11:06:49 -07:00
Peiming Liu
550288cbc3 [mlir][sparse] Add new utility class to help generates loop structures over sparse tensors; Implement foreach operator.
Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D134782
2022-09-30 21:42:42 +00:00
wren romano
0011c0a159 [mlir][sparse] Renaming x-macros for better hygiene
Now that mlir_sparsetensor_utils is a public library, this differential renames the x-macros to help avoid namespace pollution issues.

Reviewed By: aartbik, Peiming

Differential Revision: https://reviews.llvm.org/D134988
2022-09-30 14:04:58 -07:00
Peiming Liu
11069cbcb4 [mlir][sparse] refactoring: split translateIndices.
TranslateIndicesArray take an array of SSA value and convert them into another array of SSA values based on reassociation. Which makes it easier to be reused by `foreach` operator (as the indices array are given as an array of SSA values).

Reviewed By: aartbik, bixia

Differential Revision: https://reviews.llvm.org/D134918
2022-09-29 23:59:39 +00:00
Aart Bik
1b434652c5 [mlir][sparse] add more dimension level types and properties
We recently removed the singleton dimension level type (see the revision
https://reviews.llvm.org/D131002) since it was unimplemented but also
incomplete (properties were missing). This revision add singleton back as
extra dimension level type, together with properties ordered/not-ordered
and unique/not-unique. Even though still not lowered to actual code, this
provides a complete way of defining many more sparse storage schemes (in
the long run, we want to support even dimension level types and properties
using the additional extensions proposed in [Chou]).

Note that the current solution of using suffixes for the properties is not
ideal, but keeps the extension relatively simple with respect to parsing and
printing. Furthermore, it is rather consistent with the TACO implementation
which uses things like Compressed-Unique as well. Nevertheless, we probably
want to separate dimension level types from properties when we add more types
and properties.

Reviewed By: Peiming

Differential Revision: https://reviews.llvm.org/D132897
2022-08-30 10:37:49 -07:00
Aart Bik
9921ef73c8 [mlir][sparse] remove singleton dimension level type (for now)
Although we have plans to support this, and many other, dimension level type(s), currently the tag is not supported. It will be easy to add this back once support is added.

NOTE: based on discussion in https://discourse.llvm.org/t/overcoming-sparsification-limitation-on-level-types/62585

https://github.com/llvm/llvm-project/issues/51658

Reviewed By: Peiming

Differential Revision: https://reviews.llvm.org/D131002
2022-08-02 11:48:49 -07:00
bixia1
ea8ed5cbcf [mlir][sparse] Add F16 and BF16.
This is the first PR to add `F16` and `BF16` support to the sparse codegen. There are still problems in supporting these two data types, such as `BF16` is not quite working yet.

Add tests cases.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D127010
2022-06-08 09:51:05 -07:00
wren romano
b364c76683 [mlir][sparse] Using non-empty function name suffix for OverheadType::kIndex
The trick of using an empty token in the `FOREVERY_O` x-macro relies on preprocessor behavior which is only standard since C99 6.10.3/4 and C++11 N3290 16.3/4 (whereas it was undefined behavior up through C++03 16.3/10).  Since the `ExecutionEngine/SparseTensorUtils.cpp` file is required to be compile-able under C++98 compatibility mode (unlike the C++11 used elsewhere in MLIR), we shouldn't rely on that behavior.

Also, using a non-empty suffix helps improve uniformity of the API, since all other primary/overhead suffixes are also non-empty.  I'm using the suffix `0` since that's the value used by the `SparseTensorEncoding` attribute for indicating the index overhead-type.

Depends On D126720

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D126724
2022-06-01 14:18:42 -07:00
wren romano
98e142cd4f [mlir][sparse] Using x-macros in the function-suffix functions
By defining the `{primary,overhead}TypeFunctionSuffix` functions via the same x-macros used to generate the runtime library's functions themselves, this helps avoid bugs from typos or things getting out of sync.

Reviewed By: bixia

Differential Revision: https://reviews.llvm.org/D126720
2022-05-31 17:36:43 -07:00
Aart Bik
28b6d412af [mlir][sparse] add support for complex zero/one building
Reviewed By: bixia

Differential Revision: https://reviews.llvm.org/D126039
2022-05-20 08:53:30 -07:00
Aart Bik
736c1b66ef [mlir][sparse] introduce complex type to sparse tensor support
This is the first implementation of complex (f64 and f32) support
in the sparse compiler, with complex add/mul as first operations.
Note that various features are still TBD, such as other ops, and
reading in complex values from file. Also, note that the
std::complex<float> had a bit of an ABI issue when passed as
single argument. It is still TBD if better solutions are possible.

Reviewed By: bixia

Differential Revision: https://reviews.llvm.org/D125596
2022-05-16 13:17:36 -07:00
wren romano
ebc8466481 [mlir][sparse] Adding {pointer,index}OverheadTypeEncoding
Work towards: https://github.com/llvm/llvm-project/issues/51652

The new functions fill the gap between `overheadTypeEncoding` and `get{Pointer,Index}OverheadType`.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D122056
2022-03-23 12:04:47 -07:00
wren romano
c948922567 [mlir][sparse] Factoring out type-based function-name suffixes
Depends On D115010

This changes a couple of places that used to `return failure();` to now use `llvm_unreachable()` instead. However, `Transforms/Sparsification.cpp` should be doing the necessary type checks to ensure that those cases are in fact unreachable.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D115012
2022-01-04 16:17:55 -08:00
wren romano
bc04a47038 [mlir][sparse] adding OverheadType::kIndex
Depends On D115008

This change opens the way for D115012, and removes some corner cases in `CodegenUtils.cpp`. The `SparseTensorAttrDefs.td` already specifies that we allow `0` bitwidth for the two overhead types and that it is interpreted to mean the architecture's native width.

Reviewed By: aartbik

Differential Revision: https://reviews.llvm.org/D115010
2022-01-04 16:15:54 -08:00
wren romano
85b8d03e12 [mlir][sparse] Factoring out Transforms/CodegenUtils.{cpp,h}
This moves a bunch of helper functions from `Transforms/SparseTensorConversion.cpp` into `Transforms/CodegenUtils.{cpp,h}` so that they can be reused by `Transforms/Sparsification.cpp`, etc.

See also the dependent D115010 which cleans up some corner cases in this change.

Reviewed By: aartbik, rriddle

Differential Revision: https://reviews.llvm.org/D115008
2022-01-04 16:11:47 -08:00