-
Notifications
You must be signed in to change notification settings - Fork 14.5k
[mlir][spirv] Deserialize OpConstantComposite of type Cooperative Matrix #142786
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
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
4b75dc7
to
8ae14d8
Compare
@llvm/pr-subscribers-mlir-spirv @llvm/pr-subscribers-mlir Author: Igor Wodiany (IgWod-IMG) ChangesDepends on #142784. Full diff: https://github.com/llvm/llvm-project/pull/142786.diff 3 Files Affected:
diff --git a/mlir/lib/Target/SPIRV/Deserialization/Deserializer.cpp b/mlir/lib/Target/SPIRV/Deserialization/Deserializer.cpp
index 3957dbc0db984..c43d584d7b913 100644
--- a/mlir/lib/Target/SPIRV/Deserialization/Deserializer.cpp
+++ b/mlir/lib/Target/SPIRV/Deserialization/Deserializer.cpp
@@ -1468,11 +1468,11 @@ spirv::Deserializer::processConstantComposite(ArrayRef<uint32_t> operands) {
}
auto resultID = operands[1];
- if (auto vectorType = dyn_cast<VectorType>(resultType)) {
- auto attr = DenseElementsAttr::get(vectorType, elements);
+ if (auto shapedType = dyn_cast<ShapedType>(resultType)) {
+ auto attr = DenseElementsAttr::get(shapedType, elements);
// For normal constants, we just record the attribute (and its type) for
// later materialization at use sites.
- constantMap.try_emplace(resultID, attr, resultType);
+ constantMap.try_emplace(resultID, attr, shapedType);
} else if (auto arrayType = dyn_cast<spirv::ArrayType>(resultType)) {
auto attr = opBuilder.getArrayAttr(elements);
constantMap.try_emplace(resultID, attr, resultType);
diff --git a/mlir/lib/Target/SPIRV/Serialization/Serializer.cpp b/mlir/lib/Target/SPIRV/Serialization/Serializer.cpp
index 15e06616f4492..83e6c7ea7af1d 100644
--- a/mlir/lib/Target/SPIRV/Serialization/Serializer.cpp
+++ b/mlir/lib/Target/SPIRV/Serialization/Serializer.cpp
@@ -845,18 +845,38 @@ Serializer::prepareDenseElementsConstant(Location loc, Type constType,
return 0;
}
+ int64_t numberOfConstituents = shapedType.getDimSize(dim);
uint32_t resultID = getNextID();
SmallVector<uint32_t, 4> operands = {typeID, resultID};
- operands.reserve(shapedType.getDimSize(dim) + 2);
auto elementType = cast<spirv::CompositeType>(constType).getElementType(0);
- for (int i = 0; i < shapedType.getDimSize(dim); ++i) {
- index[dim] = i;
+
+ // "If the Result Type is a cooperative matrix type, then there must be only
+ // one Constituent, with scalar type matching the cooperative matrix Component
+ // Type, and all components of the matrix are initialized to that value."
+ // (https://github.khronos.org/SPIRV-Registry/extensions/KHR/SPV_KHR_cooperative_matrix.html)
+ if (isa<spirv::CooperativeMatrixType>(constType)) {
+ // numberOfConstituents is 1, so we only need one more elements in the
+ // SmallVector, so the total is 3 (1 + 2).
+ operands.reserve(3);
+ // We set dim directly to `shapedType.getRank()` so the recursive call
+ // directly returns the scalar type.
if (auto elementID = prepareDenseElementsConstant(
- loc, elementType, valueAttr, dim + 1, index)) {
+ loc, elementType, valueAttr, /*dim=*/shapedType.getRank(), index)) {
operands.push_back(elementID);
} else {
return 0;
}
+ } else {
+ operands.reserve(numberOfConstituents + 2);
+ for (int i = 0; i < numberOfConstituents; ++i) {
+ index[dim] = i;
+ if (auto elementID = prepareDenseElementsConstant(
+ loc, elementType, valueAttr, dim + 1, index)) {
+ operands.push_back(elementID);
+ } else {
+ return 0;
+ }
+ }
}
spirv::Opcode opcode = spirv::Opcode::OpConstantComposite;
encodeInstructionInto(typesGlobalValues, opcode, operands);
diff --git a/mlir/test/Target/SPIRV/constant.mlir b/mlir/test/Target/SPIRV/constant.mlir
index f3950214a7f05..a018692afab81 100644
--- a/mlir/test/Target/SPIRV/constant.mlir
+++ b/mlir/test/Target/SPIRV/constant.mlir
@@ -277,4 +277,11 @@ spirv.module Logical GLSL450 requires #spirv.vce<v1.0, [Shader], []> {
%signed_minus_one = spirv.Constant -1 : si16
spirv.ReturnValue %signed_minus_one : si16
}
+
+ // CHECK-LABEL: @coop_matrix_const
+ spirv.func @coop_matrix_const() -> (!spirv.coopmatrix<16x16xf32, Subgroup, MatrixAcc>) "None" {
+ // CHECK: {{%.*}} = spirv.Constant dense<0.000000e+00> : !spirv.coopmatrix<16x16xf32, Subgroup, MatrixAcc>
+ %coop = spirv.Constant dense<0.000000e+00> : !spirv.coopmatrix<16x16xf32, Subgroup, MatrixAcc>
+ spirv.ReturnValue %coop : !spirv.coopmatrix<16x16xf32, Subgroup, MatrixAcc>
+ }
}
|
kuhar
approved these changes
Jun 9, 2025
kuhar
reviewed
Jun 9, 2025
kuhar
approved these changes
Jun 10, 2025
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
LGTM
rorth
pushed a commit
to rorth/llvm-project
that referenced
this pull request
Jun 11, 2025
tomtor
pushed a commit
to tomtor/llvm-project
that referenced
this pull request
Jun 14, 2025
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Depends on #142784.