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Revision tags: llvmorg-20.1.0, llvmorg-20.1.0-rc3, llvmorg-20.1.0-rc2, llvmorg-20.1.0-rc1, llvmorg-21-init, llvmorg-19.1.7, llvmorg-19.1.6, llvmorg-19.1.5, llvmorg-19.1.4, llvmorg-19.1.3, llvmorg-19.1.2, llvmorg-19.1.1, llvmorg-19.1.0, llvmorg-19.1.0-rc4, llvmorg-19.1.0-rc3, llvmorg-19.1.0-rc2, llvmorg-19.1.0-rc1, llvmorg-20-init, llvmorg-18.1.8, llvmorg-18.1.7, llvmorg-18.1.6, llvmorg-18.1.5, llvmorg-18.1.4, llvmorg-18.1.3, llvmorg-18.1.2, llvmorg-18.1.1, llvmorg-18.1.0, llvmorg-18.1.0-rc4, llvmorg-18.1.0-rc3, llvmorg-18.1.0-rc2, llvmorg-18.1.0-rc1, llvmorg-19-init, llvmorg-17.0.6, llvmorg-17.0.5, llvmorg-17.0.4, llvmorg-17.0.3, llvmorg-17.0.2, llvmorg-17.0.1, llvmorg-17.0.0, llvmorg-17.0.0-rc4, llvmorg-17.0.0-rc3, llvmorg-17.0.0-rc2, llvmorg-17.0.0-rc1, llvmorg-18-init, llvmorg-16.0.6, llvmorg-16.0.5, llvmorg-16.0.4, llvmorg-16.0.3, llvmorg-16.0.2, llvmorg-16.0.1, llvmorg-16.0.0, llvmorg-16.0.0-rc4, llvmorg-16.0.0-rc3, llvmorg-16.0.0-rc2, llvmorg-16.0.0-rc1, llvmorg-17-init, llvmorg-15.0.7, llvmorg-15.0.6, llvmorg-15.0.5, llvmorg-15.0.4, llvmorg-15.0.3, llvmorg-15.0.2, llvmorg-15.0.1, llvmorg-15.0.0, llvmorg-15.0.0-rc3, llvmorg-15.0.0-rc2, llvmorg-15.0.0-rc1, llvmorg-16-init |
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| #
7fbf55c9 |
| 30-Jun-2022 |
Nicolas Vasilache <[email protected]> |
[mlir][Tensor] Move ParallelInsertSlice to the tensor dialect
This is moslty NFC and will allow tensor.parallel_insert_slice to gain
rank-reducing semantics by reusing the vast majority of the tenso
[mlir][Tensor] Move ParallelInsertSlice to the tensor dialect
This is moslty NFC and will allow tensor.parallel_insert_slice to gain
rank-reducing semantics by reusing the vast majority of the tensor.insert_slice impl.
Depends on D128857
Differential Revision: https://reviews.llvm.org/D128920
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| #
b994d388 |
| 30-Jun-2022 |
Nicolas Vasilache <[email protected]> |
[mlir][SCF] Add a ParallelCombiningOpInterface to decouple scf::PerformConcurrently from its contained operations
This allows purging references of scf.ForeachThreadOp and scf.PerformConcurrentlyOp
[mlir][SCF] Add a ParallelCombiningOpInterface to decouple scf::PerformConcurrently from its contained operations
This allows purging references of scf.ForeachThreadOp and scf.PerformConcurrentlyOp from
ParallelInsertSliceOp.
This will allowmoving the op closer to tensor::InsertSliceOp with which it should share much more
code.
In the future, the decoupling will also allow extending the type of ops that can be used in the
parallel combinator as well as semantics related to multiple concurrent inserts to the same
result.
Differential Revision: https://reviews.llvm.org/D128857
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| #
04dac2ca |
| 28-Jun-2022 |
Matthias Springer <[email protected]> |
[mlir][SCF][bufferize][NFC] Implement resolveConflicts for ParallelInsertSliceOp
This was previous implemented as part of the BufferizableOpInterface of ForEachThreadOp. Moving the implementation to
[mlir][SCF][bufferize][NFC] Implement resolveConflicts for ParallelInsertSliceOp
This was previous implemented as part of the BufferizableOpInterface of ForEachThreadOp. Moving the implementation to ParallelInsertSliceOp to be consistent with the remaining ops and to have a nice example op that can serve as a blueprint for other ops.
Differential Revision: https://reviews.llvm.org/D128666
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| #
a0f843fd |
| 24-Jun-2022 |
Nicolas Vasilache <[email protected]> |
[SCF] Add thread_dim_mapping attribute to scf.foreach_thread
An optional thread_dim_mapping index array attribute specifies for each
virtual thread dimension, how it remaps 1-1 to a set of concrete
[SCF] Add thread_dim_mapping attribute to scf.foreach_thread
An optional thread_dim_mapping index array attribute specifies for each
virtual thread dimension, how it remaps 1-1 to a set of concrete processing
element resources (e.g. a CUDA grid dimension or a level of concrete nested
async parallelism). At this time, the specification is backend-dependent and
is not verified by the op, beyond being an index array attribute.
It is the reponsibility of the lowering to interpret the index array in the
context of the concrete target the op is lowered to, or to ignore it when
the specification is ill-formed or unsupported for a particular target.
Differential Revision: https://reviews.llvm.org/D128633
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| #
2d70eff8 |
| 27-Jun-2022 |
Jacques Pienaar <[email protected]> |
[mlir] Flip more uses to prefixed accessor form (NFC).
Try to keep the final flip small. Need to flip MemRef as there are many
templated cases with it and Tensor.
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| #
3b7c3a65 |
| 25-Jun-2022 |
Kazu Hirata <[email protected]> |
Revert "Don't use Optional::hasValue (NFC)"
This reverts commit aa8feeefd3ac6c78ee8f67bf033976fc7d68bc6d.
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| #
aa8feeef |
| 25-Jun-2022 |
Kazu Hirata <[email protected]> |
Don't use Optional::hasValue (NFC)
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Revision tags: llvmorg-14.0.6 |
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| #
98dbaed1 |
| 21-Jun-2022 |
Nicolas Vasilache <[email protected]> |
[mlir][SCF] Fold tensor.cast feeding into scf.foreach_thread.parallel_insert_slice
Differential Revision: https://reviews.llvm.org/D128247
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| #
a489aa74 |
| 20-Jun-2022 |
Nicolas Vasilache <[email protected]> |
[mlir][SCF] Add scf::ForeachThread canonicalization.
This revision adds the necessary plumbing for canonicalizing scf::ForeachThread with the
`AffineOpSCFCanonicalizationPattern`.
In the process the
[mlir][SCF] Add scf::ForeachThread canonicalization.
This revision adds the necessary plumbing for canonicalizing scf::ForeachThread with the
`AffineOpSCFCanonicalizationPattern`.
In the process the `loopMatcher` helper is updated to take OpFoldResult instead of just values.
This allows composing various scenarios without the need for an artificial builder.
Differential Revision: https://reviews.llvm.org/D128244
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| #
6d5fc1e3 |
| 21-Jun-2022 |
Kazu Hirata <[email protected]> |
[mlir] Don't use Optional::getValue (NFC)
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| #
037f0995 |
| 20-Jun-2022 |
Kazu Hirata <[email protected]> |
[mlir] Don't use Optional::hasValue (NFC)
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| #
8b68da2c |
| 17-Jun-2022 |
Alex Zinenko <[email protected]> |
[mlir] move SCF headers to SCF/{IR,Transforms} respectively
This aligns the SCF dialect file layout with the majority of the dialects.
Reviewed By: jpienaar
Differential Revision: https://reviews.
[mlir] move SCF headers to SCF/{IR,Transforms} respectively
This aligns the SCF dialect file layout with the majority of the dialects.
Reviewed By: jpienaar
Differential Revision: https://reviews.llvm.org/D128049
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