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* Revert "Temporarily Revert "Add basic loop fusion pass.""Eric Christopher2019-04-176-0/+493
| | | | | | | | The reversion apparently deleted the test/Transforms directory. Will be re-reverting again. llvm-svn: 358552
* Temporarily Revert "Add basic loop fusion pass."Eric Christopher2019-04-176-493/+0
| | | | | | | | As it's causing some bot failures (and per request from kbarton). This reverts commit r358543/ab70da07286e618016e78247e4a24fcb84077fda. llvm-svn: 358546
* [WarnMissedTransforms] Do not warn about already vectorized loops.Michael Kruse2019-02-041-0/+33
| | | | | | | | | | | | | LoopVectorize adds llvm.loop.isvectorized, but leaves llvm.loop.vectorize.enable. Do not consider such a loop for user-forced vectorization since vectorization already happened -- by prioritizing llvm.loop.isvectorized except for TM_SuppressedByUser. Fixes http://llvm.org/PR40546 Differential Revision: https://reviews.llvm.org/D57542 llvm-svn: 353082
* [TransformWarning] Do not warn missed transformations in optnone functions.Michael Kruse2018-12-141-0/+50
| | | | | | | | | | | | | | | Optimization transformations are intentionally disabled by the 'optnone' function attribute. Therefore do not warn if transformation metadata is still present. Using the legacy pass manager structure, the `skipFunction` method takes care for the optnone attribute (already called before this patch). For the new pass manager, there is no equivalent, so we check for the 'optnone' attribute manually. Differential Revision: https://reviews.llvm.org/D55690 llvm-svn: 349184
* [Unroll/UnrollAndJam/Vectorizer/Distribute] Add followup loop attributes.Michael Kruse2018-12-124-0/+410
When multiple loop transformation are defined in a loop's metadata, their order of execution is defined by the order of their respective passes in the pass pipeline. For instance, e.g. #pragma clang loop unroll_and_jam(enable) #pragma clang loop distribute(enable) is the same as #pragma clang loop distribute(enable) #pragma clang loop unroll_and_jam(enable) and will try to loop-distribute before Unroll-And-Jam because the LoopDistribute pass is scheduled after UnrollAndJam pass. UnrollAndJamPass only supports one inner loop, i.e. it will necessarily fail after loop distribution. It is not possible to specify another execution order. Also,t the order of passes in the pipeline is subject to change between versions of LLVM, optimization options and which pass manager is used. This patch adds 'followup' attributes to various loop transformation passes. These attributes define which attributes the resulting loop of a transformation should have. For instance, !0 = !{!0, !1, !2} !1 = !{!"llvm.loop.unroll_and_jam.enable"} !2 = !{!"llvm.loop.unroll_and_jam.followup_inner", !3} !3 = !{!"llvm.loop.distribute.enable"} defines a loop ID (!0) to be unrolled-and-jammed (!1) and then the attribute !3 to be added to the jammed inner loop, which contains the instruction to distribute the inner loop. Currently, in both pass managers, pass execution is in a fixed order and UnrollAndJamPass will not execute again after LoopDistribute. We hope to fix this in the future by allowing pass managers to run passes until a fixpoint is reached, use Polly to perform these transformations, or add a loop transformation pass which takes the order issue into account. For mandatory/forced transformations (e.g. by having been declared by #pragma omp simd), the user must be notified when a transformation could not be performed. It is not possible that the responsible pass emits such a warning because the transformation might be 'hidden' in a followup attribute when it is executed, or it is not present in the pipeline at all. For this reason, this patche introduces a WarnMissedTransformations pass, to warn about orphaned transformations. Since this changes the user-visible diagnostic message when a transformation is applied, two test cases in the clang repository need to be updated. To ensure that no other transformation is executed before the intended one, the attribute `llvm.loop.disable_nonforced` can be added which should disable transformation heuristics before the intended transformation is applied. E.g. it would be surprising if a loop is distributed before a #pragma unroll_and_jam is applied. With more supported code transformations (loop fusion, interchange, stripmining, offloading, etc.), transformations can be used as building blocks for more complex transformations (e.g. stripmining+stripmining+interchange -> tiling). Reviewed By: hfinkel, dmgreen Differential Revision: https://reviews.llvm.org/D49281 Differential Revision: https://reviews.llvm.org/D55288 llvm-svn: 348944
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