Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update openxla/triton for integration #4

Merged
merged 0 commits into from
Oct 9, 2023
Merged

Conversation

vwbaker
Copy link
Member

@vwbaker vwbaker commented Oct 9, 2023

No description provided.

@google-cla
Copy link

google-cla bot commented Oct 9, 2023

Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).

View this failed invocation of the CLA check for more information.

For the most up to date status, view the checks section at the bottom of the pull request.

@karupayun karupayun merged commit a0475e8 into openxla:llvm-head Oct 9, 2023
1 check failed
vwbaker pushed a commit that referenced this pull request Mar 20, 2024
There are two tests that failed under AddressSanitizer:
* test/TritonGPU/loop-pipeline.mlir
* python/test/regression/test_functional_regressions.py

with an error: 

```
==8475==ERROR: AddressSanitizer: heap-use-after-free on address 0x50c000bd0be0 at pc 0x557b03278847 bp 0x7ffd69b2c4a0 sp 0x7ffd69b2c498
READ of size 8 at 0x50c000bd0be0 thread T0
    #0 0x557b03278846 in getNextOperandUsingThisValue [third_party/llvm/llvm-project/mlir/include/mlir/IR/UseDefLists.h:43](https://cs.corp.google.com/piper///depot/google3/third_party/llvm/llvm-project/mlir/include/mlir/IR/UseDefLists.h?l=43&ws=aliia/3018&snapshot=215):58
    #1 0x557b03278846 in operator++ [third_party/llvm/llvm-project/mlir/include/mlir/IR/UseDefLists.h:322](https://cs.corp.google.com/piper///depot/google3/third_party/llvm/llvm-project/mlir/include/mlir/IR/UseDefLists.h?l=322&ws=aliia/3018&snapshot=215):39
    #2 0x557b03278846 in mlir::ResultRange::UseIterator::operator++() [third_party/llvm/llvm-project/mlir/lib/IR/OperationSupport.cpp:614](https://cs.corp.google.com/piper///depot/google3/third_party/llvm/llvm-project/mlir/lib/IR/OperationSupport.cpp?l=614&ws=aliia/3018&snapshot=215):5
    #3 0x557affde38c4 in operator++ [third_party/llvm/llvm-project/llvm/include/llvm/ADT/iterator.h:281](https://cs.corp.google.com/piper///depot/google3/third_party/llvm/llvm-project/llvm/include/llvm/ADT/iterator.h?l=281&ws=aliia/3018&snapshot=215):5
    #4 0x557affde38c4 in createAsyncCopy [third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp:117](https://cs.corp.google.com/piper///depot/google3/third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp?l=117&ws=aliia/3018&snapshot=215):26
    #5 0x557affde38c4 in createAsyncLoad [third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp:135](https://cs.corp.google.com/piper///depot/google3/third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp?l=135&ws=aliia/3018&snapshot=215):3
    #6 0x557affde38c4 in createAsynOps [third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp:501](https://cs.corp.google.com/piper///depot/google3/third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp?l=501&ws=aliia/3018&snapshot=215):5
    #7 0x557affde38c4 in mlir::triton::preProcessLoopAndGetSchedule(mlir::scf::ForOp&, int, mlir::triton::PipeliningOption&) [third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp:740](https://cs.corp.google.com/piper///depot/google3/third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp?l=740&ws=aliia/3018&snapshot=215):7
    #8 0x557affe01c0c in pipelineLoop [third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/SoftwarePipeliner.cpp:76](https://cs.corp.google.com/piper///depot/google3/third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/SoftwarePipeliner.cpp?l=76&ws=aliia/3018&snapshot=215):19
...
```
This is likely happening due to iterator being invalidated after
`alloc.erase()`.
This PR moves erases of allocations outside of a loop and fixes
heap-use-after-free issue.

Do you know if there is an easy way to run the tests under sanitizers
upstream? It would be handy if we can automate it, so we catch this kind
of errors early on.
karupayun pushed a commit that referenced this pull request Apr 3, 2024
There are two tests that failed under AddressSanitizer:
* test/TritonGPU/loop-pipeline.mlir
* python/test/regression/test_functional_regressions.py

with an error: 

```
==8475==ERROR: AddressSanitizer: heap-use-after-free on address 0x50c000bd0be0 at pc 0x557b03278847 bp 0x7ffd69b2c4a0 sp 0x7ffd69b2c498
READ of size 8 at 0x50c000bd0be0 thread T0
    #0 0x557b03278846 in getNextOperandUsingThisValue [third_party/llvm/llvm-project/mlir/include/mlir/IR/UseDefLists.h:43](https://cs.corp.google.com/piper///depot/google3/third_party/llvm/llvm-project/mlir/include/mlir/IR/UseDefLists.h?l=43&ws=aliia/3018&snapshot=215):58
    #1 0x557b03278846 in operator++ [third_party/llvm/llvm-project/mlir/include/mlir/IR/UseDefLists.h:322](https://cs.corp.google.com/piper///depot/google3/third_party/llvm/llvm-project/mlir/include/mlir/IR/UseDefLists.h?l=322&ws=aliia/3018&snapshot=215):39
    #2 0x557b03278846 in mlir::ResultRange::UseIterator::operator++() [third_party/llvm/llvm-project/mlir/lib/IR/OperationSupport.cpp:614](https://cs.corp.google.com/piper///depot/google3/third_party/llvm/llvm-project/mlir/lib/IR/OperationSupport.cpp?l=614&ws=aliia/3018&snapshot=215):5
    #3 0x557affde38c4 in operator++ [third_party/llvm/llvm-project/llvm/include/llvm/ADT/iterator.h:281](https://cs.corp.google.com/piper///depot/google3/third_party/llvm/llvm-project/llvm/include/llvm/ADT/iterator.h?l=281&ws=aliia/3018&snapshot=215):5
    #4 0x557affde38c4 in createAsyncCopy [third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp:117](https://cs.corp.google.com/piper///depot/google3/third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp?l=117&ws=aliia/3018&snapshot=215):26
    #5 0x557affde38c4 in createAsyncLoad [third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp:135](https://cs.corp.google.com/piper///depot/google3/third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp?l=135&ws=aliia/3018&snapshot=215):3
    #6 0x557affde38c4 in createAsynOps [third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp:501](https://cs.corp.google.com/piper///depot/google3/third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp?l=501&ws=aliia/3018&snapshot=215):5
    #7 0x557affde38c4 in mlir::triton::preProcessLoopAndGetSchedule(mlir::scf::ForOp&, int, mlir::triton::PipeliningOption&) [third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp:740](https://cs.corp.google.com/piper///depot/google3/third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/MatmulLoopPipeline.cpp?l=740&ws=aliia/3018&snapshot=215):7
    #8 0x557affe01c0c in pipelineLoop [third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/SoftwarePipeliner.cpp:76](https://cs.corp.google.com/piper///depot/google3/third_party/triton/lib/Dialect/TritonGPU/Transforms/Pipeliner/SoftwarePipeliner.cpp?l=76&ws=aliia/3018&snapshot=215):19
...
```
This is likely happening due to iterator being invalidated after
`alloc.erase()`.
This PR moves erases of allocations outside of a loop and fixes
heap-use-after-free issue.

Do you know if there is an easy way to run the tests under sanitizers
upstream? It would be handy if we can automate it, so we catch this kind
of errors early on.
gflegar added a commit that referenced this pull request Jun 24, 2024
When running
[convert_blocked1d_to_slice0](https://github.com/triton-lang/triton/blob/0ba5f0c3cd029d5c3d1f01b9bf29dac32c27345e/test/Conversion/tritongpu_to_llvm.mlir#L924)
Triton ends up computing a rank of a matrix with 0 columns during linear
layout lowering, which trips up f2reduce, and causes undefined behavior,
detectable through
[UBSAN](https://clang.llvm.org/docs/UndefinedBehaviorSanitizer.html).

Fix this by returning the rank (0) early in these cases, without calling
f2reduce.

<details><summary>Stack trace</summary>
<p>

```
third_party/triton/third_party/f2reduce/f2reduce.cpp:421:30: runtime error: shift exponent 18446744073709551615 is too large for 64-bit type 'unsigned long long'
    #0 0x556ee2fea3be in inplace_rref_small third_party/triton/third_party/f2reduce/f2reduce.cpp:421:30
    #1 0x556ee2fea3be in f2reduce::inplace_rref_strided(unsigned long*, unsigned long, unsigned long, unsigned long) third_party/triton/third_party/f2reduce/f2reduce.cpp:470:9
    #2 0x556ee2ea70da in getMatrixRank third_party/triton/lib/Tools/LinearLayout.cpp:125:3
    #3 0x556ee2ea70da in mlir::triton::LinearLayout::checkInvariants(bool) third_party/triton/lib/Tools/LinearLayout.cpp:299:7
    #4 0x556ee2ea656d in mlir::triton::LinearLayout::tryCreate(llvm::MapVector<mlir::StringAttr, std::__u::vector<std::__u::vector<int, std::__u::allocator<int>>, std::__u::allocator<std::__u::vector<int, std::__u::allocator<int>>>>, llvm::DenseMap<mlir::StringAttr, unsigned int, llvm::DenseMapInfo<mlir::StringAttr, void>, llvm::detail::DenseMapPair<mlir::StringAttr, unsigned int>>, llvm::SmallVector<std::__u::pair<mlir::StringAttr, std::__u::vector<std::__u::vector<int, std::__u::allocator<int>>, std::__u::allocator<std::__u::vector<int, std::__u::allocator<int>>>>>, 0u>>, llvm::ArrayRef<std::__u::pair<mlir::StringAttr, int>>, bool) third_party/triton/lib/Tools/LinearLayout.cpp:190:41
    #5 0x556ee2eb2150 in mlir::triton::LinearLayout::divideRight(mlir::triton::LinearLayout const&) third_party/triton/lib/Tools/LinearLayout.cpp:654:51
    #6 0x556ee2ee1c39 in mlir::cvtNeedsSharedMemory(mlir::RankedTensorType, mlir::RankedTensorType) third_party/triton/lib/Analysis/Utility.cpp:652:14
    #7 0x556ee2cf38fd in mlir::triton::getRepShapeForCvtLayout(mlir::triton::gpu::ConvertLayoutOp) third_party/triton/lib/Analysis/Allocation.cpp:66:8
    #8 0x556ee2cf3efa in mlir::triton::getScratchConfigForCvtLayout(mlir::triton::gpu::ConvertLayoutOp, unsigned int&, unsigned int&) third_party/triton/lib/Analysis/Allocation.cpp:95:19
    #9 0x556ee2cf6057 in mlir::triton::AllocationAnalysis::getScratchValueSize(mlir::Operation*) third_party/triton/lib/Analysis/Allocation.cpp:272:24
    #10 0x556ee2cf5499 in operator() third_party/triton/lib/Analysis/Allocation.cpp:343:7
    #11 0x556ee2cf5499 in void llvm::function_ref<void (mlir::Operation*)>::callback_fn<mlir::triton::AllocationAnalysis::getValuesAndSizes()::'lambda'(mlir::Operation*)>(long, mlir::Operation*) third_party/llvm/llvm-project/llvm/include/llvm/ADT/STLFunctionalExtras.h:45:12
    #12 0x556edeeee7a9 in operator() third_party/llvm/llvm-project/llvm/include/llvm/ADT/STLFunctionalExtras.h:68:12
    #13 0x556edeeee7a9 in void mlir::detail::walk<mlir::ForwardIterator>(mlir::Operation*, llvm::function_ref<void (mlir::Operation*)>, mlir::WalkOrder) third_party/llvm/llvm-project/mlir/include/mlir/IR/Visitors.h:174:5
    #14 0x556edeeee87c in void mlir::detail::walk<mlir::ForwardIterator>(mlir::Operation*, llvm::function_ref<void (mlir::Operation*)>, mlir::WalkOrder) third_party/llvm/llvm-project/mlir/include/mlir/IR/Visitors.h:182:9
    #15 0x556ee2cf49e7 in walk<(mlir::WalkOrder)0, mlir::ForwardIterator, (lambda at third_party/triton/lib/Analysis/Allocation.cpp:341:42), mlir::Operation *, void> third_party/llvm/llvm-project/mlir/include/mlir/IR/Visitors.h:313:10
    #16 0x556ee2cf49e7 in walk<(mlir::WalkOrder)0, mlir::ForwardIterator, (lambda at third_party/triton/lib/Analysis/Allocation.cpp:341:42), void> third_party/llvm/llvm-project/mlir/include/mlir/IR/Operation.h:794:12
    #17 0x556ee2cf49e7 in mlir::triton::AllocationAnalysis::getValuesAndSizes() third_party/triton/lib/Analysis/Allocation.cpp:341:16
    #18 0x556ee2cf4852 in run third_party/triton/lib/Analysis/Allocation.cpp:182:5
    #19 0x556ee2cf4852 in AllocationAnalysis third_party/triton/lib/Analysis/Allocation.cpp:169:5
    triton-lang#20 0x556ee2cf4852 in mlir::Allocation::run(llvm::DenseMap<mlir::FunctionOpInterface, mlir::Allocation, llvm::DenseMapInfo<mlir::FunctionOpInterface, void>, llvm::detail::DenseMapPair<mlir::FunctionOpInterface, mlir::Allocation>>&) third_party/triton/lib/Analysis/Allocation.cpp:627:3
    triton-lang#21 0x556ee1677402 in operator() third_party/triton/include/triton/Analysis/Allocation.h:227:26
    triton-lang#22 0x556ee1677402 in void mlir::CallGraph<mlir::Allocation>::doWalk<(mlir::WalkOrder)0, (mlir::WalkOrder)1, mlir::ModuleAllocation::ModuleAllocation(mlir::ModuleOp)::'lambda'(mlir::CallOpInterface, mlir::FunctionOpInterface), mlir::ModuleAllocation::ModuleAllocation(mlir::ModuleOp)::'lambda'(mlir::FunctionOpInterface)>(mlir::FunctionOpInterface, llvm::DenseSet<mlir::FunctionOpInterface, llvm::DenseMapInfo<mlir::FunctionOpInterface, void>>&, mlir::ModuleAllocation::ModuleAllocation(mlir::ModuleOp)::'lambda'(mlir::CallOpInterface, mlir::FunctionOpInterface), mlir::ModuleAllocation::ModuleAllocation(mlir::ModuleOp)::'lambda'(mlir::FunctionOpInterface)) third_party/triton/include/triton/Analysis/Utility.h:350:7
    triton-lang#23 0x556ee16756b3 in walk<(mlir::WalkOrder)0, (mlir::WalkOrder)1, (lambda at third_party/triton/include/triton/Analysis/Allocation.h:222:9), (lambda at third_party/triton/include/triton/Analysis/Allocation.h:224:9)> third_party/triton/include/triton/Analysis/Utility.h:242:7
    triton-lang#24 0x556ee16756b3 in mlir::ModuleAllocation::ModuleAllocation(mlir::ModuleOp) third_party/triton/include/triton/Analysis/Allocation.h:220:5
    triton-lang#25 0x556ee2c2bf18 in (anonymous namespace)::AllocateSharedMemory::runOnOperation() third_party/triton/lib/Conversion/TritonGPUToLLVM/AllocateSharedMemory.cpp:26:22
...
UndefinedBehaviorSanitizer: invalid-shift-exponent third_party/triton/third_party/f2reduce/f2reduce.cpp:421:30 
```
</p>
</details>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants