Summary: Functional.h contains many different methods that have a direct, and more efficient, equivalent in LLVM. This revision replaces all usages with the LLVM equivalent, and removes the header. This is part of larger cleanup, pr45513, merging MLIR support facilities into LLVM.
Differential Revision: https://reviews.llvm.org/D78053
Summary:
Change AffineOps Dialect structure to better group both IR and Tranforms. This included extracting transforms directly related to AffineOps. Also move AffineOps to Affine.
Differential Revision: https://reviews.llvm.org/D76161
This will enable future commits to reimplement the internal implementation of OpResult without needing to change all of the existing users. This is part of a chain of commits optimizing the size of operation results.
PiperOrigin-RevId: 286930047
This will enable future commits to reimplement the internal implementation of OpResult without needing to change all of the existing users. This is part of a chain of commits optimizing the size of operation results.
PiperOrigin-RevId: 286919966
This is an initial step to refactoring the representation of OpResult as proposed in: https://groups.google.com/a/tensorflow.org/g/mlir/c/XXzzKhqqF_0/m/v6bKb08WCgAJ
This change will make it much simpler to incrementally transition all of the existing code to use value-typed semantics.
PiperOrigin-RevId: 286844725
This CL refactors some of the MLIR vector dependencies to allow decoupling VectorOps, vector analysis, vector transformations and vector conversions from each other.
This makes the system more modular and allows extracting VectorToVector into VectorTransforms that do not depend on vector conversions.
This refactoring exhibited a bunch of cyclic library dependencies that have been cleaned up.
PiperOrigin-RevId: 283660308
When inlining the declaration for llvm::DenseSet/DenseMap in the mlir
namespace from a forward declaration, clang does not take the default
for the template parameters if their are declared later.
namespace llvm {
template<typename Foo>
class DenseMap;
}
namespace mlir {
using llvm::DenseMap;
}
namespace llvm {
template<typename Foo = int>
class DenseMap {};
}
namespace mlir {
DenseMap<> map;
}
PiperOrigin-RevId: 261495612
In the backward slice computation, BlockArgument coming from function arguments represent a natural boundary for the traversal and should not trigger llvm_unreachable.
This CL also improves the error message and adds a relevant test.
PiperOrigin-RevId: 260118630
This CL fixes an oversight with dealing with loops in slicing analysis.
The forward slice computation properly propagates through loops but not the backward slice.
Add relevant unit tests.
PiperOrigin-RevId: 259903396
This CL adapts the recently introduced parametric tiling to have an API matching the tiling
of AffineForOp. The transformation using stripmineSink is more general and produces imperfectly nested loops.
Perfect nesting invariants of the tiled version are obtained by selectively applying hoisting of ops to isolate perfectly nested bands. Such hoisting may fail to produce a perfect loop nest in cases where ForOp transitively depend on enclosing induction variables. In such cases, the API provides a LogicalResult return but the SimpleParametricLoopTilingPass does not currently use this result.
A new unit test is added with a triangular loop for which the perfect nesting property does not hold. For this example, the old behavior was to produce IR that did not verify (some use was not dominated by its def).
PiperOrigin-RevId: 258928309
River Riddle
Rob Suderman
Mehdi Amini
River Riddle
MLIR Team
Nicolas Vasilache
Chris Lattner