Skip to content

[MLIR][Arith] Fix arith::AtomicRMWKind::maximumf's identity value #70312

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.

Sign up for GitHub

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 1 commit into from
Oct 26, 2023
Merged

[MLIR][Arith] Fix arith::AtomicRMWKind::maximumf's identity value #70312

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
2 changes: 1 addition & 1 deletion mlir/lib/Dialect/Arith/IR/ArithOps.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2412,7 +2412,7 @@ TypedAttr mlir::arith::getIdentityValueAttr(AtomicRMWKind kind, Type resultType,
const llvm::fltSemantics &semantic =
llvm::cast<FloatType>(resultType).getFloatSemantics();
APFloat identity = useOnlyFiniteValue
? APFloat::getSmallest(semantic, /*Negative=*/true)
? APFloat::getLargest(semantic, /*Negative=*/true)
: APFloat::getInf(semantic, /*Negative=*/true);
return builder.getFloatAttr(resultType, identity);
}
Expand Down
2 changes: 1 addition & 1 deletion mlir/test/Dialect/Linalg/transform-op-decompose.mlir
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -210,7 +210,7 @@ func.func @softmax(%arg0: tensor<2x16x32xf32>, %dst: tensor<2x16x32xf32>) -> ten
// CHECK-LABEL: func.func @softmax(
// CHECK-SAME: %[[ARG0:[a-zA-Z0-9_]+]]: tensor<2x16x32xf32>, %[[DST:[a-zA-Z0-9_]+]]: tensor<2x16x32xf32>) -> tensor<2x16x32xf32> {
// CHECK-DAG: %[[D1:.+]] = tensor.empty() : tensor<2x16xf32>
// CHECK-DAG: %[[CST:.+]] = arith.constant -1.401300e-45 : f32
// CHECK-DAG: %[[CST:.+]] = arith.constant -3.40282347E+38 : f32
// CHECK: %[[D2:.+]] = linalg.fill ins(%[[CST]] : f32) outs(%[[D1]] : tensor<2x16xf32>) -> tensor<2x16xf32>
// CHECK: %[[D3:.+]] = linalg.generic {indexing_maps = [#[[$MAP]], #[[$MAP1]]], iterator_types = ["parallel",
// CHECK-SAME: "parallel", "reduction"]} ins(%[[ARG0]] : tensor<2x16x32xf32>) outs(%[[D2]] : tensor<2x16xf32>) {
Expand Down
2 changes: 1 addition & 1 deletion mlir/test/Dialect/Linalg/transform-op-split-reduction.mlir
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -176,7 +176,7 @@ func.func @generic_split_3d_ninf(%input: tensor<32x2xf32>, %input_2: tensor<5x32
// CHECK-DAG: #[[$MAP3:.*]] = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
// CHECK-DAG: #[[$MAP4:.*]] = affine_map<(d0, d1, d2) -> (d0, d1)>
// CHECK-LABEL: func @generic_split_3d_ninf
// CHECK-DAG: %[[ID:.*]] = arith.constant -1.401300e-45 : f32
// CHECK-DAG: %[[ID:.*]] = arith.constant -3.40282347E+38 : f32
// CHECK-DAG: %[[I1:.*]] = tensor.expand_shape %{{.*}}[0, 1], [2]] : tensor<32x2xf32> into tensor<4x8x2xf32>
// CHECK-DAG: %[[I2:.*]] = tensor.expand_shape %{{.*}}[0], [1, 2]] : tensor<5x32xf32> into tensor<5x4x8xf32>
// CHECK-DAG: %[[INI:.*]] = tensor.empty() : tensor<5x2x4xf32>
Expand Down