Skip to content

[mlir][linalg] Bugfix for InlineScalarOperands #111534

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 14, 2024
Merged

[mlir][linalg] Bugfix for InlineScalarOperands #111534

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
9 changes: 6 additions & 3 deletions mlir/lib/Dialect/Linalg/Transforms/InlineScalarOperands.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -78,9 +78,12 @@ struct InlineScalarOperands : public OpRewritePattern<GenericOp> {
for (auto idx : indices)
indicesValues.emplace_back(
rewriter.create<arith::ConstantIndexOp>(loc, idx));
Value extractedValue = rewriter.create<tensor::ExtractOp>(
loc, opOperand->get(), indicesValues);
body->getArgument(idx).replaceAllUsesWith(extractedValue);
Value scalarValue = opOperand->get();
if (isa<RankedTensorType>(scalarValue.getType())) {
scalarValue =
rewriter.create<tensor::ExtractOp>(loc, scalarValue, indicesValues);
}
body->getArgument(idx).replaceAllUsesWith(scalarValue);
body->eraseArgument(idx);
}

Expand Down
24 changes: 24 additions & 0 deletions mlir/test/Dialect/Linalg/inline-scalar-operands.mlir
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,3 +46,27 @@ func.func @inline_oned(%arg0: tensor<4xf32>, %scalar: tensor<1xf32>) -> tensor<4
} -> tensor<4xf32>
return %1 : tensor<4xf32>
}

// -----

// CHECK: #[[MAP:.*]] = affine_map<(d0) -> (d0)>
#map2 = affine_map<(d0) -> (d0)>
#map3 = affine_map<(d0) -> ()>

// CHECK: func @inline_scalar(%[[ARG:.*]]: tensor<4xf32>, %[[SCALAR:.*]]: f32)
func.func @inline_scalar(%arg0: tensor<4xf32>, %scalar: f32) -> tensor<4xf32> {
%0 = tensor.empty() : tensor<4xf32>
// CHECK: linalg.generic {indexing_maps = [#[[MAP]], #[[MAP]]],
// CHECK-SAME: iterator_types = ["parallel"]} ins(%[[ARG]] : tensor<4xf32>)
%1 = linalg.generic {indexing_maps = [#map2, #map3, #map2],
iterator_types = ["parallel"]}
ins(%arg0, %scalar : tensor<4xf32>, f32)
outs(%0 : tensor<4xf32>) {
// CHECK: ^bb0(%[[IN:.*]]: f32, %[[OUT:.*]]: f32)
^bb0(%arg1: f32, %arg2: f32, %arg3: f32):
// CHECK: arith.divf %[[IN]], %[[SCALAR]] : f32
%2 = arith.divf %arg1, %arg2 : f32
linalg.yield %2 : f32
} -> tensor<4xf32>
return %1 : tensor<4xf32>
}
Loading