it to fusing different kinds of linalg operations on tensors.
The implementation of fusion on tensor was initially planned for just
GenericOps (and maybe IndexedGenericOps). With addition of
linalg.tensor_reshape, and potentially other such non-structured ops,
refactor the existing implementation to allow easier specification of
fusion between different linalg operations on tensors.
Differential Revision: https://reviews.llvm.org/D78463
367229e100 retired ValueHandle but
mistakenly removed the implementation for `negate` which was not
tested and would result in linking errors.
This revision adds the implementation back and provides a test.
The current Liveness analysis does not support operations with nested regions.
This causes issues when querying liveness information about blocks nested within
operations. Furthermore, the live-in and live-out sets are not computed properly
in these cases.
Differential Revision: https://reviews.llvm.org/D77714
It currently requires that the condition match the shape of the selected value, but this is only really useful for things like masks. This revision allows for the use of i1 to mean that all of the vector/tensor is selected. This also matches the behavior of LLVM select. A benefit of this change is that transformations that want to generate selects, like those on the CFG, don't have to special case vector/tensor. Previously the only way to generate a select from an i1 was to use a splat, but that doesn't support dynamically shaped/unranked tensors.
Differential Revision: https://reviews.llvm.org/D78690
This revision adds support for canonicalizing the following:
```
br ^bb1
^bb1
br ^bbN(...)
br ^bbN(...)
```
Differential Revision: https://reviews.llvm.org/D78683
This revision adds support for canonicalizing the following:
```
cond_br %cond, ^bb1(A, ..., N), ^bb1(A, ..., N)
br ^bb1(A, ..., N)
```
If the operands to the successor are different and the cond_br is the only predecessor, we emit selects for the branch operands.
```
cond_br %cond, ^bb1(A), ^bb1(B)
%select = select %cond, A, B
br ^bb1(%select)
```
Differential Revision: https://reviews.llvm.org/D78682
Summary:
This test is in a different file because it contains a literal NUL
character, which causes various tools to treat it as a binary file.
Hence it is useful to have this test kept in a separate, rarely-changing
file.
Differential Revision: https://reviews.llvm.org/D78689
Summary:
Use a nested symbol to identify the kernel to be invoked by a `LaunchFuncOp` in the GPU dialect.
This replaces the two attributes that were used to identify the kernel module and the kernel within seperately.
Differential Revision: https://reviews.llvm.org/D78551
Summary:
Use the shortcu `kernel` for the `gpu.kernel` attribute of `gpu.func`.
The parser supports this and test cases are easier to read.
Differential Revision: https://reviews.llvm.org/D78542
Summary:
Fix a broken test case in the `invalid.mlir` lit test case.
`expect` was missing its `e`.
Differential Revision: https://reviews.llvm.org/D78540
We also need to lock the LLVMDialect mutex when initializing
LLVM targets or destroying llvm modules concurrently. Added another
scoped lock to that effect.
Differential Revision: https://reviews.llvm.org/D78580
The buffer allocated by a promotion can be subject to other transformations afterward. For example it could be vectorized, in which case it is needed to ensure that this buffer is memory-aligned.
Differential Revision: https://reviews.llvm.org/D78556
This revision is the first in a set of improvements that aim at allowing
more generalized named Linalg op generation from a mathematical
specification.
This revision allows creating a new op and checks that the parser,
printer and verifier are hooked up properly.
This opened up a few design points that will be addressed in the future:
1. A named linalg op has a static region builder instead of an
explicitly parsed region. This is not currently compatible with
assemblyFormat so a custom parser / printer are needed.
2. The convention for structured ops and tensor return values needs to
evolve to allow tensor-land and buffer land specifications to agree
3. ReferenceIndexingMaps and referenceIterators will need to become
static to allow building attributes at parse time.
4. Error messages will be improved once we have 3. and we pretty print
in custom form.
Differential Revision: https://reviews.llvm.org/D78327
Unfortunately FileCheck ignores directives with whitespace between the directive and the colon (`CHECK :` for example), thus most of the directives of this test were ignored.
Differential Revision: https://reviews.llvm.org/D78548
This is possible by adding two new ControlFlowInterface additions:
- A new interface, RegionBranchOpInterface
This interface allows for region holding operations to describe how control flows between regions. This interface initially contains two methods:
* getSuccessorEntryOperands
Returns the operands of this operation used as the entry arguments when entering the region at `index`, which was specified as a successor by `getSuccessorRegions`. when entering. These operands should correspond 1-1 with the successor inputs specified in `getSuccessorRegions`, and may be a subset of the entry arguments for that region.
* getSuccessorRegions
Returns the viable successors of a region, or the possible successor when branching from the parent op. This allows for describing which regions may be executed when entering an operation, and which regions are executed after having executed another region of the parent op. For example, a structured loop operation may always enter into the loop body region. The loop body region may branch back to itself, or exit to the operation.
- A trait, ReturnLike
This trait signals that a terminator exits a region and forwards all of its operands as "exiting" values.
These additions allow for performing more general dataflow analysis in the presence of region holding operations.
Differential Revision: https://reviews.llvm.org/D78447
This revision adds the initial pass for performing SCCP generically in MLIR. SCCP is an algorithm for propagating constants across control flow, and optimistically assumes all values to be constant unless proven otherwise. It currently supports branching control, with support for regions and inter-procedural propagation being added in followups.
Differential Revision: https://reviews.llvm.org/D78397
The promotion transformation is promoting all input and output buffers of the transformed op. The user might want to only promote some of these buffers.
Differential Revision: https://reviews.llvm.org/D78498
The previous code result a mismatch between block argument types and
predecessor successor args when a type conversion was needed in a
multiblock case. It was assuming the replaced result types matched the
region result types.
Also, slighly improve the debug output from the inliner.
Differential Revision: https://reviews.llvm.org/D78415
Summary:
Generate method to generate a DictionaryAttr with attribute values of
derived attribute. If a conversion back from the derived attribute C++
type to Attribute is not defined, then attempting to materialize such an
op's derived attributes would result in runtime failure.
This allows to treat derived attributes and attributes of an op in more
uniform manner where needed. The derived attributes are not added to the
operation but returned as new attribute instead.
Differential Revision: https://reviews.llvm.org/D78302
Fix intra-tile upper bound setting in a scenario where the tile size was
larger than the trip count.
Differential Revision: https://reviews.llvm.org/D78505
memref types with dynamic dimensions do not have a compile-time
known size. They should be mapped to SPIR-V runtime array types.
Differential Revision: https://reviews.llvm.org/D78197
Update misleading line in conclusions. Although the application to IR
objects is stated earlier, the concluding section contradicts it in
isolation.
Differential Revision: https://reviews.llvm.org/D78446
MaheshRavishankar