22 Commits

Author SHA1 Message Date
gysit
7294be2b8e [mlir][linalg] Replace linalg.fill by OpDSL variant.
The revision removes the linalg.fill operation and renames the OpDSL generated linalg.fill_tensor operation to replace it. After the change, all named structured operations are defined via OpDSL and there are no handwritten operations left.

A side-effect of the change is that the pretty printed form changes from:
```
%1 = linalg.fill(%cst, %0) : f32, tensor<?x?xf32> -> tensor<?x?xf32>
```
changes to
```
%1 = linalg.fill ins(%cst : f32) outs(%0 : tensor<?x?xf32>) -> tensor<?x?xf32>
```
Additionally, the builder signature now takes input and output value ranges as it is the case for all other OpDSL operations:
```
rewriter.create<linalg::FillOp>(loc, val, output)
```
changes to
```
rewriter.create<linalg::FillOp>(loc, ValueRange{val}, ValueRange{output})
```
All other changes remain minimal. In particular, the canonicalization patterns are the same and the `value()`, `output()`, and `result()` methods are now implemented by the FillOpInterface.

Depends On D120726

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D120728
2022-03-14 10:51:08 +00:00
Nicolas Vasilache
3c3810e72e [mlir][vector] Avoid hoisting alloca'ed temporary buffers across AutomaticAllocationScope
This revision avoids incorrect hoisting of alloca'd buffers across an AutomaticAllocationScope boundary.
In the more general case, we will probably need a ParallelScope-like interface.

Differential Revision: https://reviews.llvm.org/D118768
2022-02-02 06:00:42 -05:00
Alexander Belyaev
ebc8153786 Revert "Revert "[mlir] Purge linalg.copy and use memref.copy instead.""
This reverts commit 25bf6a2a9bc6ecb3792199490c70c4ce50a94aea.
2022-02-01 18:21:21 +01:00
Alexander Belyaev
25bf6a2a9b Revert "[mlir] Purge linalg.copy and use memref.copy instead."
This reverts commit 016956b68081705ffee511c334e31e414fa1ddbf.
Reverting it to fix NVidia build without being in a hurry.
2022-01-31 18:51:39 +01:00
Alexander Belyaev
016956b680 [mlir] Purge linalg.copy and use memref.copy instead.
Differential Revision: https://reviews.llvm.org/D118028
2022-01-31 18:25:56 +01:00
Mogball
a54f4eae0e [MLIR] Replace std ops with arith dialect ops
Precursor: https://reviews.llvm.org/D110200

Removed redundant ops from the standard dialect that were moved to the
`arith` or `math` dialects.

Renamed all instances of operations in the codebase and in tests.

Reviewed By: rriddle, jpienaar

Differential Revision: https://reviews.llvm.org/D110797
2021-10-13 03:07:03 +00:00
Matthias Springer
ffdf0a370d [mlir][vector] Fix bug in vector-transfer-full-partial-split
When splitting with linalg.copy, cannot write into the destination alloc directly. Instead, write into a subview of the alloc.

Differential Revision: https://reviews.llvm.org/D110512
2021-09-27 18:12:17 +09:00
Tobias Gysi
a21a6f51bc [mlir][linalg] Change the pretty printed FillOp operand order.
The patch changes the pretty printed FillOp operand order from output, value to value, output. The change is a follow up to https://reviews.llvm.org/D104121 that passes the fill value using a scalar input instead of the former capture semantics.

Differential Revision: https://reviews.llvm.org/D104356
2021-06-23 07:03:00 +00:00
Tres Popp
88a48999d2 Support VectorTransfer splitting on writes also.
VectorTransfer split previously only split read xfer ops. This adds
the same logic to write ops. The resulting code involves 2
conditionals for write ops while read ops only needed 1, but the created
ops are built upon the same patterns, so pattern matching/expectations
are all consistent other than in regards to the if/else ops.

Differential Revision: https://reviews.llvm.org/D102157
2021-05-11 10:33:27 +02:00
Matthias Springer
95f8135043 [mlir] Change vector.transfer_read/write "masked" attribute to "in_bounds".
This is in preparation for adding a new "mask" operand. The existing "masked" attribute was used to specify dimensions that may be out-of-bounds. Such transfers can be lowered to masked load/stores. The new "in_bounds" attribute is used to specify dimensions that are guaranteed to be within bounds. (Semantics is inverted.)

Differential Revision: https://reviews.llvm.org/D99639
2021-03-31 18:04:22 +09:00
Chris Lattner
b2f232b830 [testsuite] Make testsuite more stable vs canonicalization change. NFC.
Differential Revision: https://reviews.llvm.org/D98998
2021-03-19 18:11:12 -07:00
Julian Gross
e2310704d8 [MLIR] Create memref dialect and move dialect-specific ops from std.
Create the memref dialect and move dialect-specific ops
from std dialect to this dialect.

Moved ops:
AllocOp -> MemRef_AllocOp
AllocaOp -> MemRef_AllocaOp
AssumeAlignmentOp -> MemRef_AssumeAlignmentOp
DeallocOp -> MemRef_DeallocOp
DimOp -> MemRef_DimOp
MemRefCastOp -> MemRef_CastOp
MemRefReinterpretCastOp -> MemRef_ReinterpretCastOp
GetGlobalMemRefOp -> MemRef_GetGlobalOp
GlobalMemRefOp -> MemRef_GlobalOp
LoadOp -> MemRef_LoadOp
PrefetchOp -> MemRef_PrefetchOp
ReshapeOp -> MemRef_ReshapeOp
StoreOp -> MemRef_StoreOp
SubViewOp -> MemRef_SubViewOp
TransposeOp -> MemRef_TransposeOp
TensorLoadOp -> MemRef_TensorLoadOp
TensorStoreOp -> MemRef_TensorStoreOp
TensorToMemRefOp -> MemRef_BufferCastOp
ViewOp -> MemRef_ViewOp

The roadmap to split the memref dialect from std is discussed here:
https://llvm.discourse.group/t/rfc-split-the-memref-dialect-from-std/2667

Differential Revision: https://reviews.llvm.org/D98041
2021-03-15 11:14:09 +01:00
Alex Zinenko
40d8e4d3f9 Revert "[Canonicalizer] Process regions top-down instead of bottom up & reuse existing constants."
This reverts commit b5d9a3c92358349d5444ab28de8ab5b2bee33a01.

The commit introduced a memory error in canonicalization/operation
walking that is exposed when compiled with ASAN. It leads to crashes in
some "release" configurations.
2021-03-15 10:27:55 +01:00
Chris Lattner
b5d9a3c923 [Canonicalizer] Process regions top-down instead of bottom up & reuse existing constants.
Two changes:
 1) Change the canonicalizer to walk the function in top-down order instead of
    bottom-up order.  This composes well with the "top down" nature of constant
    folding and simplification, reducing iterations and re-evaluation of ops in
    simple cases.
 2) Explicitly enter existing constants into the OperationFolder table before
    canonicalizing.  Previously we would "constant fold" them and rematerialize
    them, wastefully recreating a bunch fo constants, which lead to pointless
    memory traffic.

Both changes together provide a 33% speedup for canonicalize on some mid-size
CIRCT examples.

One artifact of this change is that the constants generated in normal pattern
application get inserted at the top of the function as the patterns are applied.
Because of this, we get "inverted" constants more often, which is an aethetic
change to the IR but does permute some testcases.

Differential Revision: https://reviews.llvm.org/D98609
2021-03-14 18:21:42 -07:00
Alexander Belyaev
a89035d750 Revert "[MLIR] Create memref dialect and move several dialect-specific ops from std."
This commit introduced a cyclic dependency:
Memref dialect depends on Standard because it used ConstantIndexOp.
Std depends on the MemRef dialect in its EDSC/Intrinsics.h

Working on a fix.

This reverts commit 8aa6c3765b924d86f623d452777eb76b83bf2787.
2021-02-18 12:49:52 +01:00
Julian Gross
8aa6c3765b [MLIR] Create memref dialect and move several dialect-specific ops from std.
Create the memref dialect and move several dialect-specific ops without
dependencies to other ops from std dialect to this dialect.

Moved ops:
AllocOp -> MemRef_AllocOp
AllocaOp -> MemRef_AllocaOp
DeallocOp -> MemRef_DeallocOp
MemRefCastOp -> MemRef_CastOp
GetGlobalMemRefOp -> MemRef_GetGlobalOp
GlobalMemRefOp -> MemRef_GlobalOp
PrefetchOp -> MemRef_PrefetchOp
ReshapeOp -> MemRef_ReshapeOp
StoreOp -> MemRef_StoreOp
TransposeOp -> MemRef_TransposeOp
ViewOp -> MemRef_ViewOp

The roadmap to split the memref dialect from std is discussed here:
https://llvm.discourse.group/t/rfc-split-the-memref-dialect-from-std/2667

Differential Revision: https://reviews.llvm.org/D96425
2021-02-18 11:29:39 +01:00
Nicolas Vasilache
05d5125d8a [mlir] Generalize OpFoldResult usage in ops with offsets, sizes and operands.
This revision starts evolving the APIs to manipulate ops with offsets, sizes and operands towards a ValueOrAttr abstraction that is already used in folding under the name OpFoldResult.

The objective, in the future, is to allow such manipulations all the way to the level of ODS to avoid all the genuflexions involved in distinguishing between values and attributes for generic constant foldings.

Once this evolution is accepted, the next step will be a mechanical OpFoldResult -> ValueOrAttr.

Differential Revision: https://reviews.llvm.org/D95310
2021-01-25 14:17:03 +00:00
River Riddle
93592b726c [mlir][OpFormatGen] Format enum attribute cases as keywords when possible
In the overwhelmingly common case, enum attribute case strings represent valid identifiers in MLIR syntax. This revision updates the format generator to format as a keyword in these cases, removing the need to wrap values in a string. The parser still retains the ability to parse the string form, but the printer will use the keyword form when applicable.

Differential Revision: https://reviews.llvm.org/D94575
2021-01-14 11:35:49 -08:00
Nicolas Vasilache
1a4263d394 [mlir][Vector] Add linalg.copy-based pattern for splitting vector.transfer_read into full and partial copies.
This revision adds a transformation and a pattern that rewrites a "maybe masked" `vector.transfer_read %view[...], %pad `into a pattern resembling:

```
   %1:3 = scf.if (%inBounds) {
      scf.yield %view : memref<A...>, index, index
    } else {
      %2 = linalg.fill(%extra_alloc, %pad)
      %3 = subview %view [...][...][...]
      linalg.copy(%3, %alloc)
      memref_cast %extra_alloc: memref<B...> to memref<A...>
      scf.yield %4 : memref<A...>, index, index
   }
   %res= vector.transfer_read %1#0[%1#1, %1#2] {masked = [false ... false]}
```
where `extra_alloc` is a top of the function alloca'ed buffer of one vector.

This rewrite makes it possible to realize the "always full tile" abstraction where vector.transfer_read operations are guaranteed to read from a padded full buffer.
The extra work only occurs on the boundary tiles.
2020-08-04 08:46:08 -04:00
Nicolas Vasilache
d313e9c12e [mlir][Vector] Add transformation + pattern to split vector.transfer_read into full and partial copies.
This revision adds a transformation and a pattern that rewrites a "maybe masked" `vector.transfer_read %view[...], %pad `into a pattern resembling:

```
   %1:3 = scf.if (%inBounds) {
      scf.yield %view : memref<A...>, index, index
    } else {
      %2 = vector.transfer_read %view[...], %pad : memref<A...>, vector<...>
      %3 = vector.type_cast %extra_alloc : memref<...> to
      memref<vector<...>> store %2, %3[] : memref<vector<...>> %4 =
      memref_cast %extra_alloc: memref<B...> to memref<A...> scf.yield %4 :
      memref<A...>, index, index
   }
   %res= vector.transfer_read %1#0[%1#1, %1#2] {masked = [false ... false]}
```
where `extra_alloc` is a top of the function alloca'ed buffer of one vector.

This rewrite makes it possible to realize the "always full tile" abstraction where vector.transfer_read operations are guaranteed to read from a padded full buffer.
The extra work only occurs on the boundary tiles.

Differential Revision: https://reviews.llvm.org/D84631
2020-08-03 12:58:18 -04:00
Mehdi Amini
7ba82a7320 Revert "[mlir][Vector] Add transformation + pattern to split vector.transfer_read into full and partial copies."
This reverts commit 35b65be041127db9fe23d3128a004c888893cbae.

Build is broken with -DBUILD_SHARED_LIBS=ON with some undefined
references like:

VectorTransforms.cpp:(.text._ZN4llvm12function_refIFvllEE11callback_fnIZL24createScopedInBoundsCondN4mlir25VectorTransferOpInterfaceEE3$_8EEvlll+0xa5): undefined reference to `mlir::edsc::op::operator+(mlir::Value, mlir::Value)'
2020-08-03 16:16:47 +00:00
Nicolas Vasilache
35b65be041 [mlir][Vector] Add transformation + pattern to split vector.transfer_read into full and partial copies.
This revision adds a transformation and a pattern that rewrites a "maybe masked" `vector.transfer_read %view[...], %pad `into a pattern resembling:

```
   %1:3 = scf.if (%inBounds) {
      scf.yield %view : memref<A...>, index, index
    } else {
      %2 = vector.transfer_read %view[...], %pad : memref<A...>, vector<...>
      %3 = vector.type_cast %extra_alloc : memref<...> to
      memref<vector<...>> store %2, %3[] : memref<vector<...>> %4 =
      memref_cast %extra_alloc: memref<B...> to memref<A...> scf.yield %4 :
      memref<A...>, index, index
   }
   %res= vector.transfer_read %1#0[%1#1, %1#2] {masked = [false ... false]}
```
where `extra_alloc` is a top of the function alloca'ed buffer of one vector.

This rewrite makes it possible to realize the "always full tile" abstraction where vector.transfer_read operations are guaranteed to read from a padded full buffer.
The extra work only occurs on the boundary tiles.

Differential Revision: https://reviews.llvm.org/D84631
2020-08-03 04:53:43 -04:00