Skip to content

[mlir][Transforms] Add missing check in tosa::transpose::verify() #102099

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

Merged
merged 2 commits into from
Aug 12, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions mlir/include/mlir/Dialect/Utils/IndexingUtils.h
Original file line number Diff line number Diff line change
Expand Up @@ -202,6 +202,9 @@ SmallVector<T> applyPermutation(ArrayRef<T> input,
ArrayRef<int64_t> permutation) {
assert(input.size() == permutation.size() &&
"expected input rank to equal permutation rank");
assert(
llvm::all_of(permutation, [&](size_t s) { return s < input.size(); }) &&
"permutation must be within input bounds");
auto permutationRange = llvm::map_range(
llvm::seq<unsigned>(0, input.size()),
[&](int64_t idx) -> T { return input[permutation[idx]]; });
Expand Down
6 changes: 6 additions & 0 deletions mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -1116,6 +1116,12 @@ LogicalResult tosa::TransposeOp::verify() {
"Unexpectedly found permutation tensor without rank");
if (!isPermutationVector(constantPerms))
return emitOpError() << "expected valid permutation tensor";

if (inputType.hasRank() && !llvm::all_of(constantPerms, [&](int64_t s) {
return s < inputType.getRank();
})) {
return emitOpError() << "permutation must be within input bounds";
}
}
return success();
}
Expand Down
35 changes: 35 additions & 0 deletions mlir/test/Dialect/Tosa/invalid.mlir
Original file line number Diff line number Diff line change
Expand Up @@ -413,3 +413,38 @@ func.func @test_tile_invalid_multiples() {
%1 = tosa.tile %0 {multiples = array<i64>} : (tensor<4x31x31xf32>) -> tensor<4x31x31xf32>
return
}

// -----

// CHECK-LABEL: @test_invalid_constant_permutation
func.func @test_invalid_constant_permutation() {
// expected-error@+3 {{permutation must be within input bounds}}
%0 = tensor.empty() : tensor<3x4x5xi32>
%1 = arith.constant dense<[3, 0, 1]> : tensor<3xi32>
%2 = tosa.transpose %0, %1 : (tensor<3x4x5xi32>, tensor<3xi32>) -> tensor<3x4x5xi32>
return
}

// -----

// CHECK-LABEL: test_rank_size_constant_permutation
func.func @test_rank_size_constant_permutation() {
// expected-error@+4 {{permutation must be within input bounds}}
%0 = arith.constant 6 : index
%1 = arith.constant dense<[0, 2]> : tensor<2xi32>
%2 = tensor.empty(%0) : tensor<?x27xi64>
%3 = tosa.transpose %2, %1 : (tensor<?x27xi64>, tensor<2xi32>) -> tensor<?x27xi64>
return
}

// -----

// CHECK-LABEL: test_large_constant_permutation
func.func @test_large_constant_permutation() {
// expected-error@+4 {{permutation must be within input bounds}}
%0 = arith.constant 6 : index
%1 = arith.constant dense<[1185677355, 332462212]> : tensor<2xi32>
%2 = tensor.empty(%0) : tensor<?x27xi64>
%3 = tosa.transpose %2, %1 : (tensor<?x27xi64>, tensor<2xi32>) -> tensor<?x27xi64>
return
}
28 changes: 1 addition & 27 deletions mlir/test/Dialect/Tosa/tosa-infer-shapes.mlir
Original file line number Diff line number Diff line change
Expand Up @@ -1373,30 +1373,4 @@ func.func @test_tosa_use_def_chain(%arg0: tensor<1x32x32x3xf32>, %arg1: tensor<1
// CHECK: (tensor<1x32x32x16xf32>) -> tensor<1x16x16x16xf32>
%1 = tosa.max_pool2d %0 {kernel = array<i64: 2, 2>, pad = array<i64: 0, 0, 0, 0>, stride = array<i64: 2, 2>} : (tensor<?x32x32x16xf32>) -> tensor<?x16x16x16xf32>
return %1 : tensor<?x16x16x16xf32>
}

// -----

// CHECK-LABEL: test_rank_size_constant_permutation
func.func @test_rank_size_constant_permutation() {
%c6 = arith.constant 6 : index
%cst_26 = arith.constant dense<[0, 2]> : tensor<2xi32>
%14 = tensor.empty(%c6) : tensor<?x27xi64>
// Fail to infer the shape but not crash.
// CHECK: (tensor<?x27xi64>, tensor<2xi32>) -> tensor<?x27xi64>
%72 = tosa.transpose %14, %cst_26 : (tensor<?x27xi64>, tensor<2xi32>) -> tensor<?x27xi64>
return
}

// -----

// CHECK-LABEL: test_large_constant_permutation
func.func @test_large_constant_permutation() {
%c6 = arith.constant 6 : index
%cst_26 = arith.constant dense<[1185677355, 332462212]> : tensor<2xi32>
%14 = tensor.empty(%c6) : tensor<?x27xi64>
// Fail to infer the shape but not crash.
// CHECK: (tensor<?x27xi64>, tensor<2xi32>) -> tensor<?x27xi64>
%72 = tosa.transpose %14, %cst_26 : (tensor<?x27xi64>, tensor<2xi32>) -> tensor<?x27xi64>
return
}
}
Loading