| Issue |
168695
|
| Summary |
[MLIR] [Vector] Error when canonicalizing `vector.scatter` with tensor output
|
| Labels |
mlir
|
| Assignees |
|
| Reporter |
sakupan102
|
I tried to compile the code below with `mlir-opt sample.mlir --pass-pipeline="builtin.module(func.func(canonicalize))"`
```mlir
func.func @scatter_tensor(%base: tensor<16xf32>, %mask: vector<16xi1>, %value: vector<16xf32>) -> tensor<16xf32> {
%c0 = arith.constant 0 : index
%index = vector.step : vector<16xindex>
%0 = vector.scatter %base[%c0] [%index], %mask, %value
: tensor<16xf32>, vector<16xindex>, vector<16xi1>, vector<16xf32> -> tensor<16xf32>
return %0 : tensor<16xf32>
}
```
output
```
Assertion failed: (op->getNumResults() == newOp->getNumResults() && "ops have different number of results"), function replaceOp, file PatternMatch.cpp, line 144.
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace and instructions to reproduce the bug.
```
## Version
915e9adbe5d1c577a21ac8b495b7c54c465460fd
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