This reverts commit d9b953d84b.
This commit resulted in build bot failures and the author is away from a
computer, so I am reverting on their behalf until they have a chance to
look into this.
This is the last revision to migrate using SimplePadOp to PadTensorOp, and the
SimplePadOp is removed in the patch. Update a bit in SliceAnalysis because the
PadTensorOp takes a region different from SimplePadOp. This is not covered by
LinalgOp because it is not a structured op.
Also, remove a duplicated comment from cpp file, which is already described in a
header file. And update the pseudo-mlir in the comment.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D95671
* Fixing missing `type` keyword in alias print
* Add test for large tuple type alias & rerun output to verify printed
form can be parsed (which caught the above).
The result values of vp2intersect are vectors of bits, i.e.,
vector<8xi1> or vector<16xi8> (instead of i8 or i16).
Differential Revision: https://reviews.llvm.org/D95678
Tuples can occupy quite a lot of space, instead of printing out tuple type
everywhere, just use the type alias if larger (arbitrarily chose a bound for
now).
Differential Revision: https://reviews.llvm.org/D95707
Update ElementsAttr::isValidIndex to handle ElementsAttr with a scalar. Scalar will have rank 0.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D95663
Currently, for a scf.parallel (i,j,k) after the loop collapsing to 1D is done, the
IVs would be traversed as for an scf.parallel(k,j,i).
Differential Revision: https://reviews.llvm.org/D95693
Previously, CMake would find any version of Python3. However, the project
claims to require 3.6 or greater, and 3.6 features are being used.
Reviewed By: yln
Differential Revision: https://reviews.llvm.org/D95635
The library is not actually static when BUILD_SHARED_LIBS is on, and tests need to explicitly load it already. Also, the shared objects it was linked to did not use any symbols from it and it was therefore never linked to it.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D95612
This segfault could occur from out of bounds accesses when simplifying
tensor.extract with a constant index and a tensor created by
tensor.from_elements.
This IR is not necesarilly invalid as it might conditionally be
never executed.
Differential Revision: https://reviews.llvm.org/D95535
This class is looking up a dialect prefix on the identifier on initialization
and keeping a pointer to the Dialect when found.
The NamedAttribute key is now a DialectIdentifier.
Reviewed By: rriddle, jpienaar
Differential Revision: https://reviews.llvm.org/D95418
This is the last revision to migrate using SimplePadOp to PadTensorOp, and the
SimplePadOp is removed in the patch. Update a bit in SliceAnalysis because the
PadTensorOp takes a region different from SimplePadOp. This is not covered by
LinalgOp because it is not a structured op.
Also, remove a duplicated comment from cpp file, which is already described in a
header file. And update the pseudo-mlir in the comment.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D95615
Expand existing one to handle the common case for verifying compatible
is existing and inferred. This considers arrays equivalent if they they
have the same size and pairwise compatible elements.
Rationale:
Providing an output tensor, even if one is not used as input to
the kernel provides the right pattern for using lingalg sparse
kernels (in contrast with reusing a tensor just to provide the shape).
This prepares proper bufferization that will follow.
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D95587
It is no longer necessary to also convert other "standard" ops along with the
complex dialect: the element types are now built-in integers or floating point
types, and the top-level cast between complex and struct is automatically
inserted and removed in progressive lowering.
Reviewed By: herhut
Differential Revision: https://reviews.llvm.org/D95625
Depending on the headers only is fine, but we do not want to use any symbols from LLVMSupport. If we do, static registration of cl options is linked in as well, and loading multiple such libraries in the cuda/rocm-runner fails because the same cl options are registered multiple times.
The cuda/rocm-runners also depend on LLVMSupport, so one could think that already loading a single such library would fail. It does not because the map of cl options is not shared between the runner and the loaded libraries (but it is shared across all loaded libraries, presumably because it has external linkage, in contrast to the static registration which has internal linkage).
This change is a preparation step for dynamically loading the mlir_async_runtime.so and cuda-runtime-wrappers.so in the same test. The async runtime depends on LLVMSupport in a more fundamental way (llvm::ThreadPool), and as explained above there can only be one.
This change also switches to add_mlir_library to make it consistent with the other runner_utils libraries.
Reviewed By: herhut
Differential Revision: https://reviews.llvm.org/D95613
This revision creates a build method of PadTensorOp which can be mapped to
SimplePad op. The verifier is updated to accept a static custom result type,
which has the same semantic as SimplePadOp.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D95555
The subview verifier in the rank-reduced case is plainly skipping verification
when the resulting type is a memref with empty affine map. This is generally incorrect.
Instead, form the actual expected rank-reduced MemRefType that takes into account the projections of 1's dimensions. Then, check the canonicalized expected rank-reduced type against the canonicalized candidate type.
Differential Revision: https://reviews.llvm.org/D95316
This revision adds a layer of SFINAE to the composable codegen strategy so it does
not have to require statically defined ops but instead can also be used with OpInterfaces, Operation* and an op name string.
A linalg.matmul_i8_i8_i32 is added to the .tc spec to demonstrate how all this works end to end.
Differential Revision: https://reviews.llvm.org/D95600
This revision improves the usage of the codegen strategy by adding a few flags that
make it easier to control for the CLI.
Usage of ModuleOp is replaced by FuncOp as this created issues in multi-threaded mode.
A simple benchmarking capability is added for linalg.matmul as well as linalg.matmul_column_major.
This latter op is also added to linalg.
Now obsolete linalg integration tests that also take too long are deleted.
Correctness checks are still missing at this point.
Differential revision: https://reviews.llvm.org/D95531
Fixes a few small issues in the docs. It seems one of the examples was missing
the expected MLIR output due to a copy-paste typo.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D95599
This prevents needless reinitialization for clients that want to reuse a pass manager multiple times. A new `getRegisryHash` function is exposed by the context to give a rough indicator of when the context registry has changed.
Differential Revision: https://reviews.llvm.org/D95493
`emplace???` functions running concurrently can set the ready flag and then pending awaiter will never be executed
Differential Revision: https://reviews.llvm.org/D95517
OffsetSizeAndStrideOpInterface now have the ability to specify only a leading subset of
offset, sizes, strides operands/attributes.
The size of that leading subset must be limited by the corresponding entry in `getArrayAttrMaxRanks` to avoid overflows.
Missing trailing dimensions are assumed to span the whole range (i.e. [0 .. dim)).
This brings more natural semantics to slice-like op on top of subview and is a simplifies to removing all uses of SliceOp in dependent projects.
Differential revision: https://reviews.llvm.org/D95441
The current context is thread-local state, and in preparation of GPU async execution (on multiple threads) we need to set the context before calling API that create resources.
Reviewed By: herhut
Differential Revision: https://reviews.llvm.org/D94495
This follows up on the introduction of C API for the same object and is similar
to AffineExpr and AffineMap.
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D95437
Depends On D95000
Move async.execute outlining and async -> async.runtime lowering into the separate Async transformation pass
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D95311
Adds vp2intersect to the AVX512 dialect and defines a lowering to the
LLVM dialect.
Author: Matthias Springer <springerm@google.com>
Differential Revision: https://reviews.llvm.org/D95301
The `getCapsule` and `createFromCapsule` comments incorrectly state the `PyMlirContext` and `MlirContext` in `PyLocation`, `PyAttribute`, and `PyType` classes.
Differential Revision: https://reviews.llvm.org/D95413
Instead of using llvm.call operations to call LLVM coro intrinsics use Coro operations from the LLVM dialect.
(This was reviewed as a part of https://reviews.llvm.org/D94923 but was lost in arc land from local branch)
Differential Revision: https://reviews.llvm.org/D95405
[NFC] No new functionality, mostly a cleanup and one more abstraction level between Async and LLVM IR.
Instead of lowering from Async to LLVM coroutines and Async Runtime API in one shot, do it progressively via async.coro and async.runtime operations.
1. Lower from async to async.runtime/coro (e.g. async.execute to function with coro setup and runtime calls)
2. Lower from async.runtime/coro to LLVM intrinsics and runtime API calls
Intermediate coro/runtime operations will allow to run transformations on a higher level IR and do not try to match IR based on the LLVM::CallOp properties.
Although async.coro is very close to LLVM coroutines, it is not exactly the same API, instead it is optimized for usability in async lowering, and misses a lot of details that are present in @llvm.coro intrinsic.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D94923
Tres Popp