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[MLIR][Linalg] Expose linalg.matmul and linalg.contract via Python API #126377

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Merged
merged 11 commits into from
Feb 10, 2025
Merged

[MLIR][Linalg] Expose linalg.matmul and linalg.contract via Python API #126377

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e3f2a7c
[MLIR][Linalg] Expose linalg.matmul and linalg.contract via Python API
rolfmorel Feb 8, 2025
57b2509
Fix linalg.matmul tests which encoded different placements of indexin…
rolfmorel Feb 8, 2025
18ff3a6
Python formatting
rolfmorel Feb 8, 2025
2e6bf66
Make indexing_maps optional on matmul, as it should be
rolfmorel Feb 8, 2025
85426f6
Fix matmul's indexing_maps issue
rolfmorel Feb 8, 2025
e98838d
Get rid of "whole new type" by introducing "context dependent" defaul…
rolfmorel Feb 9, 2025
931b473
Move builderCall parameter from custom attr class to DefaultValued(Op…
rolfmorel Feb 9, 2025
538566a
Remove junk
rolfmorel Feb 9, 2025
c81c97f
Allow access to `$_builder` in Attr's `defaultValue`
rolfmorel Feb 9, 2025
f83f7ae
Switch argument format to that of OpDSL-derived linalg ops
rolfmorel Feb 10, 2025
7a5234f
Py formatting fix
rolfmorel Feb 10, 2025
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3 changes: 2 additions & 1 deletion mlir/include/mlir/Dialect/Linalg/IR/LinalgStructuredOps.td
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Original file line number Diff line number Diff line change
Expand Up @@ -752,7 +752,8 @@ def ContractOp : LinalgStructuredBase_Op<"contract", [
let arguments = (ins
Variadic<AnyType>:$inputs,
Variadic<AnyShaped>:$outputs,
AffineMapArrayAttr:$indexing_maps
AffineMapArrayAttr:$indexing_maps,
DefaultValuedOptionalAttr<TypeFnAttr, "TypeFn::cast_signed">:$cast
);
let results = (outs Variadic<AnyShaped>:$result_tensors);
// NB: The only reason this op has a region - and it get populated at op build
Expand Down
10 changes: 5 additions & 5 deletions mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
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Expand Up @@ -3666,11 +3666,6 @@ ParseResult MatmulOp::parse(OpAsmParser &parser, OperationState &result) {
}

void MatmulOp::print(OpAsmPrinter &p) {
SmallVector<StringRef, 3> elidedAttrs = {
"operandSegmentSizes", "linalg.memoized_indexing_maps", "indexing_maps"};
printNamedStructuredOp(p, getOperation(), getInputs(), getOutputs(),
elidedAttrs);

SmallVector<Attribute, 3> indexingMaps = llvm::map_to_vector(
MatmulOp::getDefaultIndexingMaps(getContext()),
[](AffineMap map) -> Attribute { return AffineMapAttr::get(map); });
Expand All @@ -3680,6 +3675,11 @@ void MatmulOp::print(OpAsmPrinter &p) {
[&](Attribute attr) { p.printAttribute(attr); });
p << "]";
}

SmallVector<StringRef, 3> elidedAttrs = {
"operandSegmentSizes", "linalg.memoized_indexing_maps", "indexing_maps"};
printNamedStructuredOp(p, getOperation(), getInputs(), getOutputs(),
elidedAttrs);
}

/// Verify the user defined indexing maps.
Expand Down
48 changes: 48 additions & 0 deletions mlir/python/mlir/dialects/linalg/__init__.py
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Expand Up @@ -147,3 +147,51 @@ def __init__(


generic = region_op(GenericOp_, terminator=YieldOp)


def matmul(
inputs: Sequence[Union[Operation, OpView, Value]],
*,
outs: Sequence[Union[Operation, OpView, Value]],
indexing_maps: Sequence[AffineMapAttr],
cast: Optional[Union[TypeFn, Attribute]] = None,
):
inputs = [_get_op_result_or_value(input) for input in inputs]
if len(outs) > 1:
raise ValueError(f"{outs=} must have length 1.")
init = _get_op_result_or_value(outs[0])
result_types = [init.type] if isinstance(init.type, RankedTensorType) else []

op = MatmulOp(
result_tensors=result_types,
inputs=inputs,
outputs=[init],
indexing_maps=indexing_maps,
cast=cast,
)
fill_builtin_region(op.operation)
return op


def contract(
inputs: Sequence[Union[Operation, OpView, Value]],
*,
outs: Sequence[Union[Operation, OpView, Value]],
indexing_maps: Sequence[AffineMapAttr],
cast: Optional[Union[TypeFn, Attribute]] = None,
):
inputs = [_get_op_result_or_value(input) for input in inputs]
if len(outs) > 1:
raise ValueError(f"{outs=} must have length 1.")
init = _get_op_result_or_value(outs[0])
result_types = [init.type] if isinstance(init.type, RankedTensorType) else []

op = ContractOp(
result_tensors=result_types,
inputs=inputs,
outputs=[init],
indexing_maps=indexing_maps,
cast=cast,
)
fill_builtin_region(op.operation)
return op
16 changes: 10 additions & 6 deletions mlir/test/Dialect/Linalg/named-ops.mlir
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Expand Up @@ -1269,7 +1269,7 @@ func.func @matmul_transpose_b_explicit(%arg0: memref<3x5xf32>, %arg1: memref<7x5
// CHECK-SAME: %[[VAL_0:.*]]: memref<3x5xf32>,
// CHECK-SAME: %[[VAL_1:.*]]: memref<7x5xf32>,
// CHECK-SAME: %[[VAL_2:.*]]: memref<3x7xf32>) {
// CHECK: linalg.matmul ins(%[[VAL_0]], %[[VAL_1]] : memref<3x5xf32>, memref<7x5xf32>) outs(%[[VAL_2]] : memref<3x7xf32>) indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]]
// CHECK: linalg.matmul indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]] ins(%[[VAL_0]], %[[VAL_1]] : memref<3x5xf32>, memref<7x5xf32>) outs(%[[VAL_2]] : memref<3x7xf32>)
// CHECK: return
// CHECK: }

Expand All @@ -1294,7 +1294,7 @@ func.func @matmul_transpose_a_b_explicit(%arg0: memref<5x3xf32>, %arg1: memref<7
// CHECK-SAME: %[[VAL_0:.*]]: memref<5x3xf32>,
// CHECK-SAME: %[[VAL_1:.*]]: memref<7x5xf32>,
// CHECK-SAME: %[[VAL_2:.*]]: memref<3x7xf32>) {
// CHECK: linalg.matmul ins(%[[VAL_0]], %[[VAL_1]] : memref<5x3xf32>, memref<7x5xf32>) outs(%[[VAL_2]] : memref<3x7xf32>) indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]]
// CHECK: linalg.matmul indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]] ins(%[[VAL_0]], %[[VAL_1]] : memref<5x3xf32>, memref<7x5xf32>) outs(%[[VAL_2]] : memref<3x7xf32>)
// CHECK: return
// CHECK: }

Expand All @@ -1315,6 +1315,7 @@ func.func @matmul_bcast_a(%arg0: memref<5xf32>, %arg1: memref<5x7xf32>, %arg2: m
// CHECK: #[[$ATTR_2:.+]] = affine_map<(d0, d1, d2) -> (d0, d1)>
// CHECK-LABEL: func @matmul_bcast_a
// CHECK: linalg.matmul
// CHECK-SAME: indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]]
// CHECK-SAME: ins(%{{.+}}, %{{.+}} : memref<5xf32>, memref<5x7xf32>)
// CHECK-SAME: outs(%{{.+}} : memref<3x7xf32>)

Expand All @@ -1335,6 +1336,7 @@ func.func @matmul_bcast_a_dim1(%arg0: memref<5xf32>, %arg1: memref<5x7xf32>, %ar
// CHECK: #[[$ATTR_2:.+]] = affine_map<(d0, d1, d2) -> (d0, d1)>
// CHECK-LABEL: func @matmul_bcast_a_dim1
// CHECK: linalg.matmul
// CHECK-SAME: indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]]
// CHECK-SAME: ins(%{{.+}}, %{{.+}} : memref<5xf32>, memref<5x7xf32>)
// CHECK-SAME: outs(%{{.+}} : memref<3x7xf32>)

Expand All @@ -1355,6 +1357,7 @@ func.func @matmul_bcast_b(%arg0: memref<3x5xf32>, %arg1: memref<5xf32>, %arg2: m
// CHECK: #[[$ATTR_2:.+]] = affine_map<(d0, d1, d2) -> (d0, d1)>
// CHECK-LABEL: func @matmul_bcast_b
// CHECK: linalg.matmul
// CHECK-SAME: indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]]
// CHECK-SAME: ins(%{{.+}}, %{{.+}} : memref<3x5xf32>, memref<5xf32>)
// CHECK-SAME: outs(%{{.+}} : memref<3x7xf32>)

Expand All @@ -1376,7 +1379,7 @@ func.func @matmul_bcast_a_b(%arg0: memref<5xf32>, %arg1: memref<5xf32>, %arg2: m
// CHECK-LABEL: func.func @matmul_bcast_a_b(
// CHECK-SAME: %[[VAL_0:.*]]: memref<5xf32>, %[[VAL_1:.*]]: memref<5xf32>,
// CHECK-SAME: %[[VAL_2:.*]]: memref<3x7xf32>) {
// CHECK: linalg.matmul ins(%[[VAL_0]], %[[VAL_1]] : memref<5xf32>, memref<5xf32>) outs(%[[VAL_2]] : memref<3x7xf32>) indexing_maps = [#[[$ATTR_0]], #[[$ATTR_0]], #[[$ATTR_1]]]
// CHECK: linalg.matmul indexing_maps = [#[[$ATTR_0]], #[[$ATTR_0]], #[[$ATTR_1]]] ins(%[[VAL_0]], %[[VAL_1]] : memref<5xf32>, memref<5xf32>) outs(%[[VAL_2]] : memref<3x7xf32>)
// CHECK: return
// CHECK: }

Expand All @@ -1397,6 +1400,7 @@ func.func @matmul_bcast_b_dim1(%arg0: memref<3x5xf32>, %arg1: memref<5xf32>, %ar
// CHECK: #[[$ATTR_2:.+]] = affine_map<(d0, d1, d2) -> (d0, d1)>
// CHECK-LABEL: func @matmul_bcast_b_dim1
// CHECK: linalg.matmul
// CHECK-SAME: indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]]
// CHECK-SAME: ins(%{{.+}}, %{{.+}} : memref<3x5xf32>, memref<5xf32>)
// CHECK-SAME: outs(%{{.+}} : memref<3x7xf32>)

Expand All @@ -1420,7 +1424,7 @@ func.func @dynamic_matmul_bcast_a(%arg0: memref<?xf32>, %arg1: memref<?x?xf32>,
// CHECK-SAME: %[[VAL_0:.*]]: memref<?xf32>,
// CHECK-SAME: %[[VAL_1:.*]]: memref<?x?xf32>,
// CHECK-SAME: %[[VAL_2:.*]]: memref<?x?xf32>) {
// CHECK: linalg.matmul ins(%[[VAL_0]], %[[VAL_1]] : memref<?xf32>, memref<?x?xf32>) outs(%[[VAL_2]] : memref<?x?xf32>) indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]]
// CHECK: linalg.matmul indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]] ins(%[[VAL_0]], %[[VAL_1]] : memref<?xf32>, memref<?x?xf32>) outs(%[[VAL_2]] : memref<?x?xf32>)
// CHECK: return
// CHECK: }

Expand All @@ -1444,7 +1448,7 @@ func.func @matmul_bcast_a_transpose_b(%arg0: memref<5xf32>, %arg1: memref<7x5xf3
// CHECK-SAME: %[[VAL_0:.*]]: memref<5xf32>,
// CHECK-SAME: %[[VAL_1:.*]]: memref<7x5xf32>,
// CHECK-SAME: %[[VAL_2:.*]]: memref<3x7xf32>) {
// CHECK: linalg.matmul ins(%[[VAL_0]], %[[VAL_1]] : memref<5xf32>, memref<7x5xf32>) outs(%[[VAL_2]] : memref<3x7xf32>) indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]]
// CHECK: linalg.matmul indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]] ins(%[[VAL_0]], %[[VAL_1]] : memref<5xf32>, memref<7x5xf32>) outs(%[[VAL_2]] : memref<3x7xf32>)
// CHECK: return
// CHECK: }

Expand All @@ -1468,7 +1472,7 @@ func.func @matmul_bcast_b_transpose_a(%arg0: memref<5x3xf32>, %arg1: memref<5xf3
// CHECK-SAME: %[[VAL_0:.*]]: memref<5x3xf32>,
// CHECK-SAME: %[[VAL_1:.*]]: memref<5xf32>,
// CHECK-SAME: %[[VAL_2:.*]]: memref<3x7xf32>) {
// CHECK: linalg.matmul ins(%[[VAL_0]], %[[VAL_1]] : memref<5x3xf32>, memref<5xf32>) outs(%[[VAL_2]] : memref<3x7xf32>) indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]]
// CHECK: linalg.matmul indexing_maps = [#[[$ATTR_0]], #[[$ATTR_1]], #[[$ATTR_2]]] ins(%[[VAL_0]], %[[VAL_1]] : memref<5x3xf32>, memref<5xf32>) outs(%[[VAL_2]] : memref<3x7xf32>)
// CHECK: return
// CHECK: }

Expand Down
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