[Mlir-commits] [mlir] [mlir][tosa] Fix argmax folder when output type is i64 (PR #163583)
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Wed Oct 15 09:13:02 PDT 2025
llvmbot wrote:
<!--LLVM PR SUMMARY COMMENT-->
@llvm/pr-subscribers-mlir
Author: Luke Hutton (lhutton1)
<details>
<summary>Changes</summary>
Previously the following IR:
```
tosa.argmax %arg0 {axis = 0 : i32} : (tensor<1xi8>) -> tensor<i64>
```
Would result in a crash with the assertion:
```
expected dense element bit width 64 to match data size 32 for type i64
```
This commit ensures that zero is constructed with the correct bitwidth while folding, therefore fixing the crash.
---
Full diff: https://github.com/llvm/llvm-project/pull/163583.diff
2 Files Affected:
- (modified) mlir/lib/Dialect/Tosa/IR/TosaCanonicalizations.cpp (+6-2)
- (modified) mlir/test/Dialect/Tosa/canonicalize.mlir (+9)
``````````diff
diff --git a/mlir/lib/Dialect/Tosa/IR/TosaCanonicalizations.cpp b/mlir/lib/Dialect/Tosa/IR/TosaCanonicalizations.cpp
index caf80165fc640..99b7cda49094e 100644
--- a/mlir/lib/Dialect/Tosa/IR/TosaCanonicalizations.cpp
+++ b/mlir/lib/Dialect/Tosa/IR/TosaCanonicalizations.cpp
@@ -1001,8 +1001,12 @@ OpFoldResult ArgMaxOp::fold(FoldAdaptor adaptor) {
!outputTy.hasStaticShape())
return {};
- if (inputTy.getDimSize(getAxis()) == 1)
- return DenseElementsAttr::get(outputTy, 0);
+ const Type outputElementTy = getElementTypeOrSelf(outputTy);
+ if (inputTy.getDimSize(getAxis()) == 1 && outputElementTy.isInteger()) {
+ const auto outputElemIntTy = cast<IntegerType>(outputElementTy);
+ const APInt zero = APInt::getZero(outputElemIntTy.getWidth());
+ return DenseElementsAttr::get(outputTy, zero);
+ }
return {};
}
diff --git a/mlir/test/Dialect/Tosa/canonicalize.mlir b/mlir/test/Dialect/Tosa/canonicalize.mlir
index e8525a5d2ed62..7574afa215e78 100644
--- a/mlir/test/Dialect/Tosa/canonicalize.mlir
+++ b/mlir/test/Dialect/Tosa/canonicalize.mlir
@@ -9,6 +9,15 @@ func.func @argmax_nofold(%arg0: tensor<?x1xf32>) -> tensor<1xi32> {
// -----
+// CHECK-LABEL: @test_argmax_fold_i64_index
+func.func @test_argmax_fold_i64_index(%arg0: tensor<1xi8>) -> tensor<i64> {
+ // CHECK: "tosa.const"() <{values = dense<0> : tensor<i64>}> : () -> tensor<i64>
+ %0 = tosa.argmax %arg0 {axis = 0 : i32} : (tensor<1xi8>) -> tensor<i64>
+ return %0 : tensor<i64>
+}
+
+// -----
+
// CHECK-LABEL: @pad_wh_avg_pool2d_fold
func.func @pad_wh_avg_pool2d_fold(%input: tensor<1x10x8x3xf32>) -> tensor<1x6x5x3xf32> {
// CHECK-NOT: tosa.pad
``````````
</details>
https://github.com/llvm/llvm-project/pull/163583
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