[Mlir-commits] [mlir] [MLIR][CAPI][python] expose the python binding for linalgOp.getIndexingMaps (PR #136054)
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llvmlistbot at llvm.org
Wed Apr 16 16:32:41 PDT 2025
llvmbot wrote:
<!--LLVM PR SUMMARY COMMENT-->
@llvm/pr-subscribers-mlir
Author: Bangtian Liu (bangtianliu)
<details>
<summary>Changes</summary>
This PR is mainly about exposing the python bindings for `linalgOp.getIndexingMaps`.
---
Full diff: https://github.com/llvm/llvm-project/pull/136054.diff
4 Files Affected:
- (modified) mlir/include/mlir-c/Dialect/Linalg.h (+3)
- (modified) mlir/lib/Bindings/Python/DialectLinalg.cpp (+4)
- (modified) mlir/lib/CAPI/Dialect/Linalg.cpp (+9)
- (modified) mlir/test/python/dialects/linalg/utils.py (+47)
``````````diff
diff --git a/mlir/include/mlir-c/Dialect/Linalg.h b/mlir/include/mlir-c/Dialect/Linalg.h
index 4f2ee0d434222..339e63d667c5e 100644
--- a/mlir/include/mlir-c/Dialect/Linalg.h
+++ b/mlir/include/mlir-c/Dialect/Linalg.h
@@ -50,6 +50,9 @@ typedef struct MlirLinalgConvolutionDimensions {
MLIR_CAPI_EXPORTED MlirLinalgConvolutionDimensions
mlirLinalgInferConvolutionDimensions(MlirOperation op);
+MLIR_CAPI_EXPORTED MlirAttribute
+mlirLinalgGetIndexingMapsAttribute(MlirOperation op);
+
MLIR_DECLARE_CAPI_DIALECT_REGISTRATION(Linalg, linalg);
#ifdef __cplusplus
diff --git a/mlir/lib/Bindings/Python/DialectLinalg.cpp b/mlir/lib/Bindings/Python/DialectLinalg.cpp
index ce1102a3b3498..e18d218868441 100644
--- a/mlir/lib/Bindings/Python/DialectLinalg.cpp
+++ b/mlir/lib/Bindings/Python/DialectLinalg.cpp
@@ -120,6 +120,10 @@ static void populateDialectLinalgSubmodule(nb::module_ m) {
m.def("infer_convolution_dimensions", &InferConvolutionDimensions,
"Infers convolution dimensions", nb::arg("op"));
+
+ m.def("get_indexing_maps_attr", &mlirLinalgGetIndexingMapsAttribute,
+ "Returns the indexing_maps or memoized_indexing_maps attribute for a Linalg op.",
+ nb::arg("op"));
}
NB_MODULE(_mlirDialectsLinalg, m) {
diff --git a/mlir/lib/CAPI/Dialect/Linalg.cpp b/mlir/lib/CAPI/Dialect/Linalg.cpp
index 7c456102a2c0c..f940ed857fc9e 100644
--- a/mlir/lib/CAPI/Dialect/Linalg.cpp
+++ b/mlir/lib/CAPI/Dialect/Linalg.cpp
@@ -120,4 +120,13 @@ mlirLinalgInferConvolutionDimensions(MlirOperation op) {
return result;
}
+MLIR_CAPI_EXPORTED MlirAttribute mlirLinalgGetIndexingMapsAttribute(MlirOperation op) {
+ auto linalgOp = mlir::dyn_cast<mlir::linalg::LinalgOp>(unwrap(op));
+ if (!linalgOp)
+ return MlirAttribute{nullptr};
+
+ ArrayAttr attr = linalgOp.getIndexingMaps();
+ return wrap(attr);
+}
+
MLIR_DEFINE_CAPI_DIALECT_REGISTRATION(Linalg, linalg, LinalgDialect)
diff --git a/mlir/test/python/dialects/linalg/utils.py b/mlir/test/python/dialects/linalg/utils.py
index 98157b0e443cf..0bdb52c328778 100644
--- a/mlir/test/python/dialects/linalg/utils.py
+++ b/mlir/test/python/dialects/linalg/utils.py
@@ -159,3 +159,50 @@ def dyn_conv_fn(input, filter, output):
assert list(dims.depth) == []
assert list(dims.strides) == [1, 1]
assert list(dims.dilations) == [1, 1]
+
+
+ at run
+def test_get_indexing_maps_attr():
+ with Context(), Location.unknown():
+ module = Module.create()
+ f32 = F32Type.get()
+ with InsertionPoint(module.body):
+ a_type = RankedTensorType.get((4, 8), f32)
+ b_type = RankedTensorType.get((8, 16), f32)
+ c_type = RankedTensorType.get((4, 16), f32)
+
+ dim_m = AffineDimExpr.get(0)
+ dim_n = AffineDimExpr.get(1)
+ dim_k = AffineDimExpr.get(2)
+
+ a_map = AffineMap.get(3, 0, [dim_m, dim_k])
+ b_map = AffineMap.get(3, 0, [dim_k, dim_n])
+ c_map = AffineMap.get(3, 0, [dim_m, dim_n])
+
+ @func.FuncOp.from_py_func(a_type, b_type, c_type)
+ def matmul_func(a, b, c):
+ zero = arith.ConstantOp(value=FloatAttr.get(f32, 0.0), result=f32)
+ init = linalg.fill(zero, outs=[c])
+ fill_op = init.owner
+
+ fill_maps = linalg.get_indexing_maps_attr(fill_op)
+ assert fill_maps is not None
+ assert len(fill_maps) == 2
+
+ # The fill op should have maps like (d0, d1) -> () and (d0, d1).
+ fill_input_map = fill_maps[0].value
+ print(type(fill_input_map))
+ fill_output_map = fill_maps[1].value
+ assert fill_input_map == AffineMap.get(2, 0, [])
+ assert fill_output_map == AffineMap.get(2, 0, [dim_m, dim_n])
+
+ result = linalg.matmul(a, b, outs=(init,))
+ matmul_op = result.owner
+ matmul_maps = linalg.get_indexing_maps_attr(matmul_op)
+ assert matmul_maps is not None
+ assert len(matmul_maps) == 3
+
+ maps = [map_attr.value for map_attr in matmul_maps]
+ assert maps[0] == a_map
+ assert maps[1] == b_map
+ assert maps[2] == c_map
``````````
</details>
https://github.com/llvm/llvm-project/pull/136054
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