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Merged
merged 27 commits into from
Jul 17, 2025
Merged

[MLIR][XeGPU] make offsets optional for create_nd_tdesc #148335

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remove unnecessary comments
Jianhui-Li Jul 12, 2025
4a96c71
fix VectorToXeGPU tests
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tweak default offset value
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add builders
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Merge branch 'main' into dialect-assembly-format
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simplify custom parser
Jianhui-Li Jul 15, 2025
456534a
add comma before shape and strides
Jianhui-Li Jul 15, 2025
b6f016e
tie the offsets rank to input tensor shape instead of tdesc
Jianhui-Li Jul 15, 2025
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Merge branch 'main' into dialect-assembly-format
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use simpler interface for DenseI64ArrayAttr
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43 changes: 37 additions & 6 deletions mlir/include/mlir/Dialect/XeGPU/IR/XeGPUOps.td
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Original file line number Diff line number Diff line change
Expand Up @@ -110,23 +110,34 @@ def XeGPU_CreateNdDescOp: XeGPU_Op<"create_nd_tdesc", [Pure, ViewLikeOpInterface
Variadic<Index>: $offsets,
Variadic<Index>: $shape,
Variadic<Index>: $strides,
DenseI64ArrayAttr: $const_offsets,
OptionalAttr<DenseI64ArrayAttr>: $const_offsets,
OptionalAttr<DenseI64ArrayAttr>: $const_shape,
OptionalAttr<DenseI64ArrayAttr>: $const_strides
);
let results = (outs XeGPU_TensorDesc: $TensorDesc);

let assemblyFormat = [{
$source ``
custom<DynamicIndexList>($offsets, $const_offsets)
(`,` custom<DynamicIndexList>($shape, $const_shape)^
`,` custom<DynamicIndexList>($strides, $const_strides))?
custom<OptionalDynamicIndexList>($offsets, $const_offsets)
(`,` `shape` `:` custom<DynamicIndexList>($shape, $const_shape)^
`,` `strides``:` custom<DynamicIndexList>($strides, $const_strides))?
attr-dict `:` type($source) `->` qualified(type($TensorDesc))
}];

let results = (outs XeGPU_TensorDesc: $TensorDesc);

let hasVerifier = 1;

let builders = [
OpBuilder<(ins "Type": $tdesc, "TypedValue<MemRefType>": $source)>,

OpBuilder<(ins "Type": $tdesc, "TypedValue<MemRefType> ": $source,
"llvm::ArrayRef<OpFoldResult>": $shape,
"llvm::ArrayRef<OpFoldResult>": $strides)>,

OpBuilder<(ins "Type": $tdesc, "TypedValue<IntegerType> ": $source,
"llvm::ArrayRef<OpFoldResult>": $shape,
"llvm::ArrayRef<OpFoldResult>": $strides)>,

OpBuilder<(ins "Type": $tdesc, "TypedValue<MemRefType>": $source,
"llvm::ArrayRef<OpFoldResult>": $offsets)>,

Expand Down Expand Up @@ -163,9 +174,29 @@ def XeGPU_CreateNdDescOp: XeGPU_Op<"create_nd_tdesc", [Pure, ViewLikeOpInterface
}

ArrayRef<int64_t> getStaticOffsets(){
return getConstOffsets();
auto attr = getConstOffsetsAttr();

if (attr)
return attr;

auto memrefType = llvm::dyn_cast<MemRefType>(getSourceType());
int rank = 0;
if (memrefType)
//use source memref's rank, as source memref rank may be higher
rank = memrefType.getRank();
else
//nd_tdesc created from ui64, use nd_tdesc's rank
rank = getMixedSizes().size();
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@chencha3 chencha3 Jul 16, 2025

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nit: it is not nd_tdesc's rank, it is the rank of Shape. It is not necessary to differentiate between memrefType and else, since it is handled in getMixedSizes(). It is an abstraction interface returns the shape of the memory, regardless of it is specified by a MemrefType or via the shape/stride parameter.


// The offsets are allowed to be empty. The Traits verification of OffsetSizeAndStrideOpInterface interface assumes offsets being present.
// It is set to be MAX to indicate user not passed any value, instead of kDynamic which means offsets passed as value.
setConstOffsets(llvm::SmallVector<int64_t, 4>(rank, std::numeric_limits<int64_t>::max()));

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@charithaintc charithaintc Jul 15, 2025

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probably we need to reuse this constant in future. Better to define it somewhere.

static constexpr int64_t optionalValue = std::numeric_limits<int64_t>::max();

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@Jianhui-Li Jianhui-Li Jul 15, 2025

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The parser and print code is supposed to removed once we finish the transition that move the offsets from create_nd_tdesc definition to load_nd. So no plan to reuse.

attr = getConstOffsetsAttr();
return attr;
}


/// wrapper for matching with OffsetSizeAndStrideOpInterface
/// If source is IntegerType or `const_shape` is filled,
/// it will return `const_shape`, such that mixes of `shape`
Expand Down
122 changes: 120 additions & 2 deletions mlir/lib/Dialect/XeGPU/IR/XeGPUOps.cpp
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Expand Up @@ -112,6 +112,64 @@ isValidGatherScatterParams(Type maskTy, VectorType valueTy,
//===----------------------------------------------------------------------===//
// XeGPU_CreateNdDescOp
//===----------------------------------------------------------------------===//

void CreateNdDescOp::build(OpBuilder &builder, OperationState &state,
Type tdesc, TypedValue<MemRefType> source) {
[[maybe_unused]] auto ty = source.getType();
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@charithaintc charithaintc Jul 15, 2025

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I think [[maybe_unused]] is not needed.

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@Jianhui-Li Jianhui-Li Jul 15, 2025

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ty is only used in the assert statement which is unused in release binary.

assert(ty.hasStaticShape());
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@charithaintc charithaintc Jul 15, 2025

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add some error text in assert. like "expecting a memref with static shape"


build(builder, state, tdesc, source, ValueRange({}) /* dynamic offsets */,
ValueRange({}) /* empty dynamic shape */,
ValueRange({}) /* empty dynamic strides */,
builder.getDenseI64ArrayAttr({}) /* const offsets */,
builder.getDenseI64ArrayAttr({}) /* empty const shape*/,
builder.getDenseI64ArrayAttr({}) /* empty const strides*/);
}

void CreateNdDescOp::build(OpBuilder &builder, OperationState &state,
Type tdesc, TypedValue<MemRefType> source,
llvm::ArrayRef<OpFoldResult> shape,
llvm::ArrayRef<OpFoldResult> strides) {
assert(shape.size() && strides.size() && shape.size() == strides.size());
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@charithaintc charithaintc Jul 15, 2025

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add some error text. why this invariant must be satisfied.


llvm::SmallVector<int64_t> staticShape;
llvm::SmallVector<int64_t> staticStrides;
llvm::SmallVector<Value> dynamicShape;
llvm::SmallVector<Value> dynamicStrides;

dispatchIndexOpFoldResults(shape, dynamicShape, staticShape);
dispatchIndexOpFoldResults(strides, dynamicStrides, staticStrides);

auto staticShapeAttr = builder.getDenseI64ArrayAttr(staticShape);
auto staticStridesAttr = builder.getDenseI64ArrayAttr(staticStrides);

build(builder, state, tdesc, source, ValueRange({}), dynamicShape,
dynamicStrides, builder.getDenseI64ArrayAttr({}), staticShapeAttr,
staticStridesAttr);
}

void CreateNdDescOp::build(OpBuilder &builder, OperationState &state,
Type tdesc, TypedValue<IntegerType> source,
llvm::ArrayRef<OpFoldResult> shape,
llvm::ArrayRef<OpFoldResult> strides) {
assert(shape.size() && strides.size() && shape.size() == strides.size());
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@charithaintc charithaintc Jul 15, 2025

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same here.


llvm::SmallVector<int64_t> staticShape;
llvm::SmallVector<int64_t> staticStrides;
llvm::SmallVector<Value> dynamicShape;
llvm::SmallVector<Value> dynamicStrides;

dispatchIndexOpFoldResults(shape, dynamicShape, staticShape);
dispatchIndexOpFoldResults(strides, dynamicStrides, staticStrides);

auto staticShapeAttr = builder.getDenseI64ArrayAttr(staticShape);
auto staticStridesAttr = builder.getDenseI64ArrayAttr(staticStrides);

build(builder, state, tdesc, source, ValueRange({}), dynamicShape,
dynamicStrides, builder.getDenseI64ArrayAttr({}), staticShapeAttr,
staticStridesAttr);
}

void CreateNdDescOp::build(OpBuilder &builder, OperationState &state,
Type tdesc, TypedValue<MemRefType> source,
llvm::ArrayRef<OpFoldResult> offsets) {
Expand All @@ -125,8 +183,8 @@ void CreateNdDescOp::build(OpBuilder &builder, OperationState &state,
build(builder, state, tdesc, source, dynamicOffsets /* dynamic offsets */,
ValueRange({}) /* empty dynamic shape */,
ValueRange({}) /* empty dynamic strides */,
staticOffsets /* const offsets */, {} /* empty const shape*/,
{} /* empty const strides*/);
builder.getDenseI64ArrayAttr(staticOffsets) /* const offsets */,
{} /* empty const shape*/, {} /* empty const strides*/);
}

void CreateNdDescOp::build(OpBuilder &builder, OperationState &state,
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@charithaintc charithaintc Jul 15, 2025

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where is the new build methods implemented?

    OpBuilder<(ins "Type": $tdesc, "TypedValue<MemRefType>": $source)>,

    OpBuilder<(ins "Type": $tdesc, "TypedValue<MemRefType> ": $source,
                   "llvm::ArrayRef<OpFoldResult>": $shape,
                   "llvm::ArrayRef<OpFoldResult>": $strides)>,

    OpBuilder<(ins "Type": $tdesc, "TypedValue<IntegerType> ": $source,
                   "llvm::ArrayRef<OpFoldResult>": $shape,
                   "llvm::ArrayRef<OpFoldResult>": $strides)>,

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@Jianhui-Li Jianhui-Li Jul 15, 2025

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added

Expand Down Expand Up @@ -221,6 +279,66 @@ LogicalResult CreateNdDescOp::verify() {
return success();
}

ParseResult parseOptionalDynamicIndexList(
OpAsmParser &parser,
SmallVectorImpl<OpAsmParser::UnresolvedOperand> &values,
DenseI64ArrayAttr &integers, SmallVectorImpl<Type> *valueTypes = nullptr,
AsmParser::Delimiter delimiter = AsmParser::Delimiter::Square) {

SmallVector<int64_t, 4> integerVals;
auto parseIntegerOrValue = [&]() {
OpAsmParser::UnresolvedOperand operand;
auto res = parser.parseOptionalOperand(operand);

if (res.has_value() && succeeded(res.value())) {
values.push_back(operand);
integerVals.push_back(ShapedType::kDynamic);
if (valueTypes && parser.parseColonType(valueTypes->emplace_back()))
return failure();
} else {
int64_t integer;
if (failed(parser.parseInteger(integer)))
return failure();
integerVals.push_back(integer);
}

return success();
};
if (parser.parseOptionalLSquare().succeeded()) {
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@charithaintc charithaintc Jul 15, 2025

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I assume that for no-offset case this check will fail?
Example:

create_nd %src shape: [] strides: []

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@charithaintc charithaintc Jul 15, 2025

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please add a comment here like "If the optional values are given there must be left bracket"

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@Jianhui-Li Jianhui-Li Jul 15, 2025

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Yes. Added

if (parser.parseCommaSeparatedList(parseIntegerOrValue) ||
parser.parseRSquare())
return parser.emitError(parser.getNameLoc())
<< "expected SSA value or integer";
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@charithaintc charithaintc Jul 15, 2025

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Suggested change
<< "expected SSA value or integer";
<< "expected a list of SSA values or integers";

integers = parser.getBuilder().getDenseI64ArrayAttr(integerVals);
return success();
}
return success();
}

void printOptionalDynamicIndexList(OpAsmPrinter &printer, Operation *op,
OperandRange values,
ArrayRef<int64_t> integers,
TypeRange valueTypes = TypeRange()) {

if (values.empty() && llvm::all_of(integers, [](int64_t i) {
return i == std::numeric_limits<int64_t>::max();
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@charithaintc charithaintc Jul 15, 2025

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please add a comment here to explain that here we use some place holder values to carry optional offsets.

nit: I still prefer if this constant is defined somewhere and properly documented. Will make life easier for future changes.

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@Jianhui-Li Jianhui-Li Jul 16, 2025

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It is temporary. I added a comment.

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@chencha3 chencha3 Jul 16, 2025

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Maybe we can remove the valueTypes and related logic, since it is not used.

}))
return;
printer << '[';
unsigned dynamicValIdx = 0;
llvm::interleaveComma(integers, printer, [&](int64_t integer) {
if (ShapedType::isDynamic(integer)) {
printer << values[dynamicValIdx];
if (!valueTypes.empty())
printer << " : " << valueTypes[dynamicValIdx];
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@charithaintc charithaintc Jul 15, 2025

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does values and valueTypes always have same size?

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@Jianhui-Li Jianhui-Li Jul 16, 2025

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Seems correct from the test cases. This interface is automatically generated by parser which should guarantee it.

++dynamicValIdx;
} else {
printer << integer;
}
});
printer << ']';
}

//===----------------------------------------------------------------------===//
// XeGPU_PrefetchNdOp
//===----------------------------------------------------------------------===//
Expand Down
2 changes: 1 addition & 1 deletion mlir/test/Conversion/VectorToXeGPU/load-to-xegpu.mlir
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Expand Up @@ -54,7 +54,7 @@ func.func @load_dynamic_source(%source: memref<?x?x?xf32>,
// CHECK-DAG: %[[DIM_2:.+]] = memref.dim %[[SRC]], %[[C2]]
// CHECK: %[[DIM_0_STRIDE:.+]] = arith.muli %[[DIM_2]], %[[DIM_1]]
// CHECK: %[[DESC:.+]] = xegpu.create_nd_tdesc %[[SRC]][%[[OFFSET]], %[[OFFSET]], %[[OFFSET]]]
// CHECK-SAME: [%[[DIM_0]], %[[DIM_1]], %[[DIM_2]]], [%[[DIM_0_STRIDE]], %[[DIM_2]], 1]
// CHECK-SAME: , shape : [%[[DIM_0]], %[[DIM_1]], %[[DIM_2]]], strides : [%[[DIM_0_STRIDE]], %[[DIM_2]], 1]
// CHECK-SAME: memref<?x?x?xf32> -> !xegpu.tensor_desc<8x16xf32,
// CHECK: %[[VEC:.+]] = xegpu.load_nd %[[DESC]]{{.*}}-> vector<8x16xf32>
// CHECK: return %[[VEC]]
Expand Down
2 changes: 1 addition & 1 deletion mlir/test/Conversion/VectorToXeGPU/store-to-xegpu.mlir
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Expand Up @@ -56,7 +56,7 @@ func.func @store_dynamic_source(%vec: vector<8x16xf32>,
// CHECK-DAG: %[[DIM_2:.+]] = memref.dim %[[SRC]], %[[C2]]
// CHECK: %[[DIM_0_STRIDE:.+]] = arith.muli %[[DIM_2]], %[[DIM_1]]
// CHECK: %[[DESC:.+]] = xegpu.create_nd_tdesc %[[SRC]][%[[OFFSET]], %[[OFFSET]], %[[OFFSET]]]
// CHECK-SAME: [%[[DIM_0]], %[[DIM_1]], %[[DIM_2]]], [%[[DIM_0_STRIDE]], %[[DIM_2]], 1]
// CHECK-SAME: , shape : [%[[DIM_0]], %[[DIM_1]], %[[DIM_2]]], strides : [%[[DIM_0_STRIDE]], %[[DIM_2]], 1]
// CHECK-SAME: memref<?x?x?xf32> -> !xegpu.tensor_desc<8x16xf32,
// CHECK: xegpu.store_nd %[[VEC]], %[[DESC]] : vector<8x16xf32>

Expand Down
2 changes: 1 addition & 1 deletion mlir/test/Conversion/VectorToXeGPU/transfer-read-to-xegpu.mlir
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Expand Up @@ -96,7 +96,7 @@ func.func @load_dynamic_source(%source: memref<?x?x?xf32>,
// CHECK-DAG: %[[DIM_2:.+]] = memref.dim %[[SRC]], %[[C2]]
// CHECK: %[[DIM_0_STRIDE:.+]] = arith.muli %[[DIM_2]], %[[DIM_1]]
// CHECK: %[[DESC:.+]] = xegpu.create_nd_tdesc %[[SRC]][%[[OFFSET]], %[[OFFSET]], %[[OFFSET]]]
// CHECK-SAME: [%[[DIM_0]], %[[DIM_1]], %[[DIM_2]]], [%[[DIM_0_STRIDE]], %[[DIM_2]], 1]
// CHECK-SAME: , shape : [%[[DIM_0]], %[[DIM_1]], %[[DIM_2]]], strides : [%[[DIM_0_STRIDE]], %[[DIM_2]], 1]
// CHECK-SAME: memref<?x?x?xf32> -> !xegpu.tensor_desc<8x16xf32
// CHECK: %[[VEC:.+]] = xegpu.load_nd %[[DESC]]{{.*}}-> vector<8x16xf32>
// CHECK: return %[[VEC]]
Expand Down
2 changes: 1 addition & 1 deletion mlir/test/Conversion/VectorToXeGPU/transfer-write-to-xegpu.mlir
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Expand Up @@ -60,7 +60,7 @@ func.func @store_dynamic_source(%vec: vector<8x16xf32>,
// CHECK-DAG: %[[DIM_2:.+]] = memref.dim %[[SRC]], %[[C2]]
// CHECK: %[[DIM_0_STRIDE:.+]] = arith.muli %[[DIM_2]], %[[DIM_1]]
// CHECK: %[[DESC:.+]] = xegpu.create_nd_tdesc %[[SRC]][%[[OFFSET]], %[[OFFSET]], %[[OFFSET]]]
// CHECK-SAME: [%[[DIM_0]], %[[DIM_1]], %[[DIM_2]]], [%[[DIM_0_STRIDE]], %[[DIM_2]], 1]
// CHECK-SAME: , shape : [%[[DIM_0]], %[[DIM_1]], %[[DIM_2]]], strides : [%[[DIM_0_STRIDE]], %[[DIM_2]], 1]
// CHECK-SAME: memref<?x?x?xf32> -> !xegpu.tensor_desc<8x16xf32
// CHECK: xegpu.store_nd %[[VEC]], %[[DESC]] : vector<8x16xf32>

Expand Down
45 changes: 43 additions & 2 deletions mlir/test/Dialect/XeGPU/ops.mlir
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Expand Up @@ -17,8 +17,8 @@ gpu.func @create_nd_tdesc_1(%src: memref<24x32xf32>) {
gpu.func @create_nd_tdesc_2(%src: ui64, %w : index, %h : index, %x : index, %y : index) {
//CHECK: %[[C:.*]] = arith.constant 1 : index
%c1 = arith.constant 1 : index
// CHECK: %[[REG:.*]] = xegpu.create_nd_tdesc %[[arg0]][%[[arg3]], %[[arg4]]], [%[[arg2]], %[[arg1]]], [%[[arg1]], %[[C]]] : ui64 -> !xegpu.tensor_desc<8x16xf32>
%1 = xegpu.create_nd_tdesc %src[%x, %y], [%h, %w], [%w, %c1] : ui64 -> !xegpu.tensor_desc<8x16xf32>
// CHECK: %[[REG:.*]] = xegpu.create_nd_tdesc %[[arg0]][%[[arg3]], %[[arg4]]], shape : [%[[arg2]], %[[arg1]]], strides : [%[[arg1]], %[[C]]] : ui64 -> !xegpu.tensor_desc<8x16xf32>
%1 = xegpu.create_nd_tdesc %src[%x, %y], shape:[%h, %w], strides: [%w, %c1] : ui64 -> !xegpu.tensor_desc<8x16xf32>
gpu.return
}

Expand Down Expand Up @@ -62,6 +62,47 @@ gpu.func @create_nd_tdesc_7(%src: memref<8x24x32x48x64xf32>) {
}


// CHECK: gpu.func @test_create_nd_tdesc_7(%[[arg0:.*]]: ui64, %[[arg1:.*]]: index, %[[arg2:.*]]: index, %[[arg3:.*]]: index, %[[arg4:.*]]: index, %[[arg5:.*]]: memref<24x32xf32>)
gpu.func @test_create_nd_tdesc_7(%src: ui64, %w : index, %h : index, %x : index, %y : index, %src2: memref<24x32xf32>) {
//CHECK: %[[C:.*]] = arith.constant 1 : index
%c1 = arith.constant 1 : index

// CHECK: %[[REG:.*]] = xegpu.create_nd_tdesc %[[arg5]] : memref<24x32xf32> -> !xegpu.tensor_desc<8x16xf32>
%3 = xegpu.create_nd_tdesc %src2 : memref<24x32xf32> -> !xegpu.tensor_desc<8x16xf32>

gpu.return
}

// CHECK: gpu.func @test_create_nd_tdesc_8(%[[arg0:.*]]: ui64, %[[arg1:.*]]: index, %[[arg2:.*]]: index, %[[arg3:.*]]: index, %[[arg4:.*]]: index)
gpu.func @test_create_nd_tdesc_8(%src: ui64, %w : index, %h : index, %x : index, %y : index) {

%c1 = arith.constant 1 : index
// CHECK: %[[REG:.*]] = xegpu.create_nd_tdesc %arg0, shape : [%arg2, %arg1], strides : [%arg1, %c1] : ui64 -> !xegpu.tensor_desc<8x16xf32>
%2 = xegpu.create_nd_tdesc %src, shape : [%h, %w], strides : [%w, %c1] : ui64 -> !xegpu.tensor_desc<8x16xf32>

gpu.return
}

// CHECK-LABEL: func @test_create_nd_tdesc_9({{.*}})

gpu.func @test_create_nd_tdesc_9(%src: memref<?x?xf16>, %w : index, %h : index, %x : index, %y : index) {

%c1 = arith.constant 1 : index
// CHECK: %[[REG:.*]] = xegpu.create_nd_tdesc %arg0[%arg3, %arg4], shape : [%arg2, %arg1], strides : [%arg1, %c1] : memref<?x?xf16> -> !xegpu.tensor_desc<8x16xf16>
%1 = xegpu.create_nd_tdesc %src[%x, %y], shape:[%h, %w], strides:[%w, %c1] : memref<?x?xf16> -> !xegpu.tensor_desc<8x16xf16>

gpu.return
}

// CHECK-LABEL: func @test_create_nd_tdesc_10({{.*}})
gpu.func @test_create_nd_tdesc_10(%src: memref<?x?xf16>, %w : index, %h : index, %x : index, %y : index) {
%c1 = arith.constant 1 : index
// CHECK: %[[REG:.*]] = xegpu.create_nd_tdesc %arg0, shape : [%arg2, %arg1], strides : [%arg1, %c1] : memref<?x?xf16> -> !xegpu.tensor_desc<8x16xf16>
%2 = xegpu.create_nd_tdesc %src, shape:[%h, %w], strides:[%w, %c1] : memref<?x?xf16> -> !xegpu.tensor_desc<8x16xf16>

gpu.return
}

// CHECK: gpu.func @prefetch_nd(%[[arg0:.*]]: memref<24x32xf16>) {
gpu.func @prefetch_nd(%src: memref<24x32xf16>) {
// CHECK: %[[R0:.*]] = xegpu.create_nd_tdesc %[[arg0]][0, 0] : memref<24x32xf16> -> !xegpu.tensor_desc<8x16xf16>
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8 changes: 4 additions & 4 deletions mlir/test/Dialect/XeGPU/subgroup-distribute.mlir
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Expand Up @@ -150,16 +150,16 @@ gpu.module @test {
// CHECK: (%[[ARG0:[0-9a-zA-Z]+]]: ui64, %[[ARG1:[0-9a-zA-Z]+]]: ui64, %[[ARG2:[0-9a-zA-Z]+]]: index,
// CHECK-SAME: %[[ARG3:[0-9a-zA-Z]+]]: index, %[[ARG4:[0-9a-zA-Z]+]]: index,
// CHECK-SAME: %[[ARG5:[0-9a-zA-Z]+]]: index, %[[ARG6:[0-9a-zA-Z]+]]: index, %[[ARG7:[0-9a-zA-Z]+]]: index) {
// CHECK: %[[T0:.*]] = xegpu.create_nd_tdesc %[[ARG0]][{{.*}}], [%[[ARG2]], %[[ARG3]]], [%[[ARG4]], %[[ARG5]]] : ui64 -> !xegpu.tensor_desc<16x16xf16>
// CHECK: %[[T0:.*]] = xegpu.create_nd_tdesc %[[ARG0]][{{.*}}], shape : [%[[ARG2]], %[[ARG3]]], strides : [%[[ARG4]], %[[ARG5]]] : ui64 -> !xegpu.tensor_desc<16x16xf16>
// CHECK: %[[T1:.*]] = xegpu.load_nd %[[T0]] : !xegpu.tensor_desc<16x16xf16> -> vector<16xf16>
// CHECK: %[[T2:.*]] = xegpu.create_nd_tdesc %[[ARG1]][{{.*}}], [%[[ARG2]], %[[ARG3]]], [%[[ARG4]], %[[ARG5]]] : ui64 -> !xegpu.tensor_desc<16x16xf16>
// CHECK: %[[T2:.*]] = xegpu.create_nd_tdesc %[[ARG1]][{{.*}}], shape : [%[[ARG2]], %[[ARG3]]], strides : [%[[ARG4]], %[[ARG5]]] : ui64 -> !xegpu.tensor_desc<16x16xf16>
// CHECK: xegpu.store_nd %[[T1]], %[[T2]] : vector<16xf16>, !xegpu.tensor_desc<16x16xf16>
gpu.module @test {
gpu.func @create_nd_tdesc_non_memref(%arg0: ui64, %arg1: ui64, %arg2: index, %arg3: index, %arg4: index, %arg5: index, %arg6: index, %arg7: index) {
%c0 = arith.constant 0 : index
%0 = xegpu.create_nd_tdesc %arg0[%c0, %c0], [%arg2, %arg3], [%arg4, %arg5] : ui64 -> !xegpu.tensor_desc<16x16xf16, #xegpu.layout<lane_layout = [1, 16], lane_data = [1, 1]>>
%0 = xegpu.create_nd_tdesc %arg0[%c0, %c0], shape:[%arg2, %arg3], strides:[%arg4, %arg5] : ui64 -> !xegpu.tensor_desc<16x16xf16, #xegpu.layout<lane_layout = [1, 16], lane_data = [1, 1]>>
%1 = xegpu.load_nd %0 {layout_result_0 = #xegpu.layout<lane_layout = [1, 16], lane_data = [1, 1]>} : !xegpu.tensor_desc<16x16xf16, #xegpu.layout<lane_layout = [1, 16], lane_data = [1, 1]>> -> vector<16x16xf16>
%2 = xegpu.create_nd_tdesc %arg1[%c0, %c0], [%arg2, %arg3], [%arg4, %arg5] : ui64 -> !xegpu.tensor_desc<16x16xf16, #xegpu.layout<lane_layout = [1, 16], lane_data = [1, 1]>>
%2 = xegpu.create_nd_tdesc %arg1[%c0, %c0], shape:[%arg2, %arg3], strides:[%arg4, %arg5] : ui64 -> !xegpu.tensor_desc<16x16xf16, #xegpu.layout<lane_layout = [1, 16], lane_data = [1, 1]>>
xegpu.store_nd %1, %2 : vector<16x16xf16>, !xegpu.tensor_desc<16x16xf16, #xegpu.layout<lane_layout = [1, 16], lane_data = [1, 1]>>
gpu.return
}
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