| Issue |
149962
|
| Summary |
[MLIR]Non-deterministic results from repeated JIT executions
|
| Labels |
mlir
|
| Assignees |
|
| Reporter |
sweead
|
test commit: [f3a3270](https://github.com/llvm/llvm-project/commit/f3a3270dbca3649b7d56aaa42cb8481fb34e2d67)
## Description:
Each JIT compilation yields different output tensors, even though the program and input are unchanged.
## Steps to Reproduce:
### Minimal MLIR program (test.mlir):
```
module {
func.func private @printMemrefI32(tensor<*xi32>)
func.func @main() {
%0 = "tosa.const"() <{values = dense<false> : tensor<7x5x10xi1>}> : () -> tensor<7x5x10xi1>
%1 = tosa.argmax %0 {axis = 0 : i32} : (tensor<7x5x10xi1>) -> tensor<5x10xi32>
%cast = tensor.cast %1 : tensor<5x10xi32> to tensor<*xi32>
call @printMemrefI32(%cast) : (tensor<*xi32>) -> ()
return
}
}
```
### Command:
Execute first:
```
mlir-opt test.mlir --pass-pipeline="builtin.module(func.func(tosa-to-linalg))" | \
mlir-opt --tosa-to-tensor --sparsification-and-bufferization="parallelization-strategy=any-storage-any-loop" \
--sparsification-and-bufferization="parallelization-strategy=any-storage-any-loop" --test-linalg-transform-patterns=test-patterns \
--tosa-to-arith --sparsifier -o output3.mlir | \
```
Next, run the JIT compilation:
```
mlir-runner output3.mlir -e main -entry-point-result=void -shared-libs=/home/workdir/llvm-project/build/lib/libmlir_runner_utils.so
```
### Possible Output(across runs):
```
[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 2, 0]]
```
```
[[0, 0, 0, 1, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 3, 3, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 1, 1],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
```
```
[[0, 0, 3, 0, 1, 1, 0, 0, 0, 0],
[0, 0, 1, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 3, 0, 1, 1, 0, 0, 0, 0]]
```
....
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