9 Commits

Author SHA1 Message Date
Lei Zhang
413fbb045d [mlir][scf] Retain existing attributes in scf.for transforms
These attributes can carry useful information, e.g., pipelines
might use them to organize and chain patterns.

Reviewed By: hanchung

Differential Revision: https://reviews.llvm.org/D126320
2022-05-25 10:53:02 -04:00
River Riddle
0254b0bcf0 [mlir][NFC] Update textual references of func to func.func in LLVM/Math/MemRef/NVGPU/OpenACC/OpenMP/Quant/SCF/Shape tests
The special case parsing of `func` operations is being removed.
2022-04-20 22:17:28 -07:00
Alexander Belyaev
57470abc41 [mlir] Move memref.[tensor_load|buffer_cast|clone] to "bufferization" dialect.
https://llvm.discourse.group/t/rfc-dialect-for-bufferization-related-ops/4712

Differential Revision: https://reviews.llvm.org/D114552
2021-11-25 11:50:39 +01:00
River Riddle
015192c634 [mlir:DialectConversion] Restructure how argument/target materializations get invoked
The current implementation invokes materializations
whenever an input operand does not have a mapping for the
desired type, i.e. it requires materialization at the earliest possible
point. This conflicts with goal of dialect conversion (and also the
current documentation) which states that a materialization is only
required if the materialization is supposed to persist after the
conversion process has finished.

This revision refactors this such that whenever a target
materialization "might" be necessary, we insert an
unrealized_conversion_cast to act as a temporary materialization.
This allows for deferring the invocation of the user
materialization hooks until the end of the conversion process,
where we actually have a better sense if it's actually
necessary. This has several benefits:

* In some cases a target materialization hook is no longer
   necessary
When performing a full conversion, there are some situations
where a temporary materialization is necessary. Moving forward,
these users won't need to provide any target materializations,
as the temporary materializations do not require the user to
provide materialization hooks.

* getRemappedValue can now handle values that haven't been
   converted yet
Before this commit, it wasn't well supported to get the remapped
value of a value that hadn't been converted yet (making it
difficult/impossible to convert multiple operations in many
situations). This commit updates getRemappedValue to properly
handle this case by inserting temporary materializations when
necessary.

Another code-health related benefit is that with this change we
can move a majority of the complexity related to materializations
to the end of the conversion process, instead of handling adhoc
while conversion is happening.

Differential Revision: https://reviews.llvm.org/D111620
2021-10-27 02:09:04 +00:00
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
Butygin
a36e9ee09d [mlir][SCF] populateSCFStructuralTypeConversionsAndLegality WhileOp support
Differential Revision: https://reviews.llvm.org/D105923
2021-07-14 12:43:04 +03:00
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
Sean Silva
1ce7040359 [mlir] Properly handle recursive bufferization for scf.for/scf.if
This fixes a subtle issue, described in the comment starting with
"Clone the op without the regions and inline the regions from the old op",
which prevented this conversion from working on non-trivial examples.

Differential Revision: https://reviews.llvm.org/D90203
2020-10-28 14:16:56 -07:00
Sean Silva
f0292ede9b [mlir] Add structural type conversions for SCF dialect.
A "structural" type conversion is one where the underlying ops are
completely agnostic to the actual types involved and simply need to update
their types. An example of this is scf.if -- the scf.if op and the
corresponding scf.yield ops need to update their types accordingly to the
TypeConverter, but otherwise don't care what type conversions are happening.

To test the structural type conversions, it is convenient to define a
bufferize pass for a dialect, which exercises them nicely.

Differential Revision: https://reviews.llvm.org/D89757
2020-10-21 11:58:27 -07:00