[Mlir-commits] [mlir] dcae289 - [MLIR][SparseTensor] Introduce opaque pointers in LLVM dialect lowering (#70570)
llvmlistbot at llvm.org
llvmlistbot at llvm.org
Mon Oct 30 23:34:53 PDT 2023
Author: Christian Ulmann
Date: 2023-10-31T07:34:49+01:00
New Revision: dcae289d3a4f77b50efc8b8ecd2d5a58c86933ca
URL: https://github.com/llvm/llvm-project/commit/dcae289d3a4f77b50efc8b8ecd2d5a58c86933ca
DIFF: https://github.com/llvm/llvm-project/commit/dcae289d3a4f77b50efc8b8ecd2d5a58c86933ca.diff
LOG: [MLIR][SparseTensor] Introduce opaque pointers in LLVM dialect lowering (#70570)
This commit changes the SparseTensor LLVM dialect lowering from using
`llvm.ptr<i8>` to `llvm.ptr`. This change ensures that the lowering now
properly relies on opaque pointers, instead of working with already type
erased i8 pointers.
Added:
Modified:
mlir/lib/Dialect/SparseTensor/Transforms/CodegenUtils.cpp
mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorConversion.cpp
mlir/test/Dialect/SparseTensor/codegen.mlir
mlir/test/Dialect/SparseTensor/conversion.mlir
mlir/test/Dialect/SparseTensor/sparse_expand.mlir
mlir/test/Dialect/SparseTensor/sparse_fill_zero.mlir
mlir/test/Dialect/SparseTensor/sparse_lower.mlir
mlir/test/Dialect/SparseTensor/sparse_lower_col.mlir
mlir/test/Dialect/SparseTensor/sparse_lower_inplace.mlir
mlir/test/Dialect/SparseTensor/sparse_perm_lower.mlir
Removed:
################################################################################
diff --git a/mlir/lib/Dialect/SparseTensor/Transforms/CodegenUtils.cpp b/mlir/lib/Dialect/SparseTensor/Transforms/CodegenUtils.cpp
index b1b1d67ac2d420d..743476259619996 100644
--- a/mlir/lib/Dialect/SparseTensor/Transforms/CodegenUtils.cpp
+++ b/mlir/lib/Dialect/SparseTensor/Transforms/CodegenUtils.cpp
@@ -341,7 +341,7 @@ func::CallOp mlir::sparse_tensor::createFuncCall(
}
Type mlir::sparse_tensor::getOpaquePointerType(MLIRContext *ctx) {
- return LLVM::LLVMPointerType::get(IntegerType::get(ctx, 8));
+ return LLVM::LLVMPointerType::get(ctx);
}
Type mlir::sparse_tensor::getOpaquePointerType(Builder &builder) {
diff --git a/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorConversion.cpp b/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorConversion.cpp
index 570be951cab845e..79f6013640440df 100644
--- a/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorConversion.cpp
+++ b/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorConversion.cpp
@@ -42,7 +42,7 @@ namespace {
/// Maps each sparse tensor type to an opaque pointer.
static std::optional<Type> convertSparseTensorTypes(Type type) {
if (getSparseTensorEncoding(type) != nullptr)
- return LLVM::LLVMPointerType::get(IntegerType::get(type.getContext(), 8));
+ return LLVM::LLVMPointerType::get(type.getContext());
return std::nullopt;
}
diff --git a/mlir/test/Dialect/SparseTensor/codegen.mlir b/mlir/test/Dialect/SparseTensor/codegen.mlir
index c53ec7408bc3b8a..5876eef6f193272 100644
--- a/mlir/test/Dialect/SparseTensor/codegen.mlir
+++ b/mlir/test/Dialect/SparseTensor/codegen.mlir
@@ -664,7 +664,7 @@ func.func @sparse_convert_element_type(%arg0: tensor<32xf32, #SparseVector>) ->
}
// CHECK-LABEL: func.func @sparse_new_coo(
-// CHECK-SAME: %[[A0:.*]]: !llvm.ptr<i8>) -> (memref<?xindex>, memref<?xindex>, memref<?xf32>, !sparse_tensor.storage_specifier<#sparse_tensor.encoding<{{{.*}}}>>) {
+// CHECK-SAME: %[[A0:.*]]: !llvm.ptr) -> (memref<?xindex>, memref<?xindex>, memref<?xf32>, !sparse_tensor.storage_specifier<#sparse_tensor.encoding<{{{.*}}}>>) {
// CHECK-DAG: %[[VAL_1:.*]] = arith.constant false
// CHECK-DAG: %[[VAL_2:.*]] = arith.constant 2 : i32
// CHECK-DAG: %[[VAL_3:.*]] = arith.constant 1 : index
@@ -674,9 +674,9 @@ func.func @sparse_convert_element_type(%arg0: tensor<32xf32, #SparseVector>) ->
// CHECK: %[[VAL_7:.*]] = memref.cast %[[VAL_6]] : memref<2xindex> to memref<?xindex>
// CHECK: memref.store %[[VAL_4]], %[[VAL_6]]{{\[}}%[[VAL_4]]] : memref<2xindex>
// CHECK: memref.store %[[VAL_4]], %[[VAL_6]]{{\[}}%[[VAL_3]]] : memref<2xindex>
-// CHECK: %[[VAL_8:.*]] = call @createCheckedSparseTensorReader(%[[A0]], %[[VAL_7]], %[[VAL_2]]) : (!llvm.ptr<i8>, memref<?xindex>, i32) -> !llvm.ptr<i8>
-// CHECK: %[[VAL_9:.*]] = call @getSparseTensorReaderDimSizes(%[[VAL_8]]) : (!llvm.ptr<i8>) -> memref<?xindex>
-// CHECK: %[[VAL_10:.*]] = call @getSparseTensorReaderNSE(%[[VAL_8]]) : (!llvm.ptr<i8>) -> index
+// CHECK: %[[VAL_8:.*]] = call @createCheckedSparseTensorReader(%[[A0]], %[[VAL_7]], %[[VAL_2]]) : (!llvm.ptr, memref<?xindex>, i32) -> !llvm.ptr
+// CHECK: %[[VAL_9:.*]] = call @getSparseTensorReaderDimSizes(%[[VAL_8]]) : (!llvm.ptr) -> memref<?xindex>
+// CHECK: %[[VAL_10:.*]] = call @getSparseTensorReaderNSE(%[[VAL_8]]) : (!llvm.ptr) -> index
// CHECK: %[[VAL_11:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_4]]] : memref<?xindex>
// CHECK: %[[VAL_12:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_3]]] : memref<?xindex>
// CHECK: %[[VAL_13:.*]] = arith.muli %[[VAL_10]], %[[VAL_5]] : index
@@ -696,7 +696,7 @@ func.func @sparse_convert_element_type(%arg0: tensor<32xf32, #SparseVector>) ->
// CHECK: %[[VAL_29:.*]] = memref.cast %[[VAL_28]] : memref<2xindex> to memref<?xindex>
// CHECK: memref.store %[[VAL_4]], %[[VAL_28]]{{\[}}%[[VAL_4]]] : memref<2xindex>
// CHECK: memref.store %[[VAL_3]], %[[VAL_28]]{{\[}}%[[VAL_3]]] : memref<2xindex>
-// CHECK: %[[VAL_30:.*]] = call @getSparseTensorReaderReadToBuffers0F32(%[[VAL_8]], %[[VAL_29]], %[[VAL_29]], %[[VAL_16]], %[[VAL_17]]) : (!llvm.ptr<i8>, memref<?xindex>, memref<?xindex>, memref<?xindex>, memref<?xf32>) -> i1
+// CHECK: %[[VAL_30:.*]] = call @getSparseTensorReaderReadToBuffers0F32(%[[VAL_8]], %[[VAL_29]], %[[VAL_29]], %[[VAL_16]], %[[VAL_17]]) : (!llvm.ptr, memref<?xindex>, memref<?xindex>, memref<?xindex>, memref<?xf32>) -> i1
// CHECK: %[[VAL_31:.*]] = arith.cmpi eq, %[[VAL_30]], %[[VAL_1]] : i1
// CHECK: scf.if %[[VAL_31]] {
// CHECK: sparse_tensor.sort hybrid_quick_sort %[[VAL_10]], %[[VAL_16]] jointly %[[VAL_17]]
@@ -704,15 +704,15 @@ func.func @sparse_convert_element_type(%arg0: tensor<32xf32, #SparseVector>) ->
// CHECK: memref.store %[[VAL_10]], %[[VAL_25]]{{\[}}%[[VAL_3]]] : memref<?xindex>
// CHECK: %[[VAL_32:.*]] = sparse_tensor.storage_specifier.set %[[VAL_27]] crd_mem_sz at 0 with %[[VAL_13]]
// CHECK: %[[VAL_33:.*]] = sparse_tensor.storage_specifier.set %[[VAL_32]] val_mem_sz with %[[VAL_10]]
-// CHECK: call @delSparseTensorReader(%[[VAL_8]]) : (!llvm.ptr<i8>) -> ()
+// CHECK: call @delSparseTensorReader(%[[VAL_8]]) : (!llvm.ptr) -> ()
// CHECK: return %[[VAL_25]], %[[VAL_16]], %[[VAL_17]], %[[VAL_33]]
-func.func @sparse_new_coo(%arg0: !llvm.ptr<i8>) -> tensor<?x?xf32, #Coo> {
- %0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<?x?xf32, #Coo>
+func.func @sparse_new_coo(%arg0: !llvm.ptr) -> tensor<?x?xf32, #Coo> {
+ %0 = sparse_tensor.new %arg0 : !llvm.ptr to tensor<?x?xf32, #Coo>
return %0 : tensor<?x?xf32, #Coo>
}
// CHECK-LABEL: func.func @sparse_new_coo_permute_no(
-// CHECK-SAME: %[[A0:.*]]: !llvm.ptr<i8>) -> (memref<?xindex>, memref<?xindex>, memref<?xf32>, !sparse_tensor.storage_specifier<#sparse_tensor.encoding<{{{.*}}}>>) {
+// CHECK-SAME: %[[A0:.*]]: !llvm.ptr) -> (memref<?xindex>, memref<?xindex>, memref<?xf32>, !sparse_tensor.storage_specifier<#sparse_tensor.encoding<{{{.*}}}>>) {
// CHECK-DAG: %[[VAL_1:.*]] = arith.constant 2 : i32
// CHECK-DAG: %[[VAL_2:.*]] = arith.constant 1 : index
// CHECK-DAG: %[[VAL_3:.*]] = arith.constant 0 : index
@@ -721,9 +721,9 @@ func.func @sparse_new_coo(%arg0: !llvm.ptr<i8>) -> tensor<?x?xf32, #Coo> {
// CHECK: %[[VAL_6:.*]] = memref.cast %[[VAL_5]] : memref<2xindex> to memref<?xindex>
// CHECK: memref.store %[[VAL_3]], %[[VAL_5]]{{\[}}%[[VAL_3]]] : memref<2xindex>
// CHECK: memref.store %[[VAL_3]], %[[VAL_5]]{{\[}}%[[VAL_2]]] : memref<2xindex>
-// CHECK: %[[VAL_7:.*]] = call @createCheckedSparseTensorReader(%[[A0]], %[[VAL_6]], %[[VAL_1]]) : (!llvm.ptr<i8>, memref<?xindex>, i32) -> !llvm.ptr<i8>
-// CHECK: %[[VAL_8:.*]] = call @getSparseTensorReaderDimSizes(%[[VAL_7]]) : (!llvm.ptr<i8>) -> memref<?xindex>
-// CHECK: %[[VAL_9:.*]] = call @getSparseTensorReaderNSE(%[[VAL_7]]) : (!llvm.ptr<i8>) -> index
+// CHECK: %[[VAL_7:.*]] = call @createCheckedSparseTensorReader(%[[A0]], %[[VAL_6]], %[[VAL_1]]) : (!llvm.ptr, memref<?xindex>, i32) -> !llvm.ptr
+// CHECK: %[[VAL_8:.*]] = call @getSparseTensorReaderDimSizes(%[[VAL_7]]) : (!llvm.ptr) -> memref<?xindex>
+// CHECK: %[[VAL_9:.*]] = call @getSparseTensorReaderNSE(%[[VAL_7]]) : (!llvm.ptr) -> index
// CHECK: %[[VAL_10:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_3]]] : memref<?xindex>
// CHECK: %[[VAL_11:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_2]]] : memref<?xindex>
// CHECK: %[[VAL_12:.*]] = arith.muli %[[VAL_9]], %[[VAL_4]] : index
@@ -747,13 +747,13 @@ func.func @sparse_new_coo(%arg0: !llvm.ptr<i8>) -> tensor<?x?xf32, #Coo> {
// CHECK: %[[VAL_30:.*]] = memref.cast %[[VAL_29]] : memref<2xindex> to memref<?xindex>
// CHECK: memref.store %[[VAL_2]], %[[VAL_29]]{{\[}}%[[VAL_3]]] : memref<2xindex>
// CHECK: memref.store %[[VAL_3]], %[[VAL_29]]{{\[}}%[[VAL_2]]] : memref<2xindex>
-// CHECK: %[[VAL_31:.*]] = call @getSparseTensorReaderReadToBuffers0F32(%[[VAL_7]], %[[VAL_28]], %[[VAL_30]], %[[VAL_15]], %[[VAL_16]]) : (!llvm.ptr<i8>, memref<?xindex>, memref<?xindex>, memref<?xindex>, memref<?xf32>) -> i1
+// CHECK: %[[VAL_31:.*]] = call @getSparseTensorReaderReadToBuffers0F32(%[[VAL_7]], %[[VAL_28]], %[[VAL_30]], %[[VAL_15]], %[[VAL_16]]) : (!llvm.ptr, memref<?xindex>, memref<?xindex>, memref<?xindex>, memref<?xf32>) -> i1
// CHECK: memref.store %[[VAL_9]], %[[VAL_24]]{{\[}}%[[VAL_2]]] : memref<?xindex>
// CHECK: %[[VAL_32:.*]] = sparse_tensor.storage_specifier.set %[[VAL_26]] crd_mem_sz at 0 with %[[VAL_12]]
// CHECK: %[[VAL_33:.*]] = sparse_tensor.storage_specifier.set %[[VAL_32]] val_mem_sz with %[[VAL_9]]
-// CHECK: call @delSparseTensorReader(%[[VAL_7]]) : (!llvm.ptr<i8>) -> ()
+// CHECK: call @delSparseTensorReader(%[[VAL_7]]) : (!llvm.ptr) -> ()
// CHECK: return %[[VAL_24]], %[[VAL_15]], %[[VAL_16]], %[[VAL_33]]
-func.func @sparse_new_coo_permute_no(%arg0: !llvm.ptr<i8>) -> tensor<?x?xf32, #CooPNo> {
- %0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<?x?xf32, #CooPNo>
+func.func @sparse_new_coo_permute_no(%arg0: !llvm.ptr) -> tensor<?x?xf32, #CooPNo> {
+ %0 = sparse_tensor.new %arg0 : !llvm.ptr to tensor<?x?xf32, #CooPNo>
return %0 : tensor<?x?xf32, #CooPNo>
}
diff --git a/mlir/test/Dialect/SparseTensor/conversion.mlir b/mlir/test/Dialect/SparseTensor/conversion.mlir
index 27d8f296c9ad0ce..e4e825bf8504394 100644
--- a/mlir/test/Dialect/SparseTensor/conversion.mlir
+++ b/mlir/test/Dialect/SparseTensor/conversion.mlir
@@ -29,14 +29,14 @@
}>
// CHECK-LABEL: func @sparse_nop(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8>
-// CHECK: return %[[A]] : !llvm.ptr<i8>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr) -> !llvm.ptr
+// CHECK: return %[[A]] : !llvm.ptr
func.func @sparse_nop(%arg0: tensor<?xf64, #SparseVector>) -> tensor<?xf64, #SparseVector> {
return %arg0 : tensor<?xf64, #SparseVector>
}
// CHECK-LABEL: func @sparse_dim1d(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
// CHECK: %[[C:.*]] = arith.constant 0 : index
// CHECK: %[[D:.*]] = call @sparseLvlSize(%[[A]], %[[C]])
// CHECK: return %[[D]] : index
@@ -50,7 +50,7 @@ func.func @sparse_dim1d(%arg0: tensor<?xf64, #SparseVector>) -> index {
// not be permuted into a query for the size of level 2 (even though
// dimension 1 is stored as level 2).
// CHECK-LABEL: func @sparse_dim3d(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
// CHECK: %[[C:.*]] = arith.constant 2 : index
// CHECK: %[[D:.*]] = call @sparseLvlSize(%[[A]], %[[C]])
// CHECK: return %[[D]] : index
@@ -64,7 +64,7 @@ func.func @sparse_dim3d(%arg0: tensor<?x?x?xf64, #SparseTensor>) -> index {
// constant (and we should be sure to get the size of dimension 1,
// not dimension 2 nor level 1).
// CHECK-LABEL: func @sparse_dim3d_const(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
// CHECK: %[[C:.*]] = arith.constant 20 : index
// CHECK: return %[[C]] : index
func.func @sparse_dim3d_const(%arg0: tensor<10x20x30xf64, #SparseTensor>) -> index {
@@ -74,7 +74,7 @@ func.func @sparse_dim3d_const(%arg0: tensor<10x20x30xf64, #SparseTensor>) -> ind
}
// CHECK-LABEL: func @sparse_new1d(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr) -> !llvm.ptr
// CHECK-DAG: %[[DimShape0:.*]] = memref.alloca() : memref<1xindex>
// CHECK-DAG: %[[DimShape:.*]] = memref.cast %[[DimShape0]] : memref<1xindex> to memref<?xindex>
// CHECK: %[[Reader:.*]] = call @createCheckedSparseTensorReader(%[[A]], %[[DimShape]], %{{.*}})
@@ -84,14 +84,14 @@ func.func @sparse_dim3d_const(%arg0: tensor<10x20x30xf64, #SparseTensor>) -> ind
// CHECK-DAG: %[[Iota:.*]] = memref.cast %[[Iota0]] : memref<1xindex> to memref<?xindex>
// CHECK: %[[T:.*]] = call @newSparseTensor(%[[DimShape]], %[[DimShape]], %[[LvlTypes]], %[[Iota]], %[[Iota]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[Reader]])
// CHECK: call @delSparseTensorReader(%[[Reader]])
-// CHECK: return %[[T]] : !llvm.ptr<i8>
-func.func @sparse_new1d(%arg0: !llvm.ptr<i8>) -> tensor<128xf64, #SparseVector> {
- %0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<128xf64, #SparseVector>
+// CHECK: return %[[T]] : !llvm.ptr
+func.func @sparse_new1d(%arg0: !llvm.ptr) -> tensor<128xf64, #SparseVector> {
+ %0 = sparse_tensor.new %arg0 : !llvm.ptr to tensor<128xf64, #SparseVector>
return %0 : tensor<128xf64, #SparseVector>
}
// CHECK-LABEL: func @sparse_new2d(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr) -> !llvm.ptr
// CHECK-DAG: %[[DimShape0:.*]] = memref.alloca() : memref<2xindex>
// CHECK-DAG: %[[DimShape:.*]] = memref.cast %[[DimShape0]] : memref<2xindex> to memref<?xindex>
// CHECK: %[[Reader:.*]] = call @createCheckedSparseTensorReader(%[[A]], %[[DimShape]], %{{.*}})
@@ -102,14 +102,14 @@ func.func @sparse_new1d(%arg0: !llvm.ptr<i8>) -> tensor<128xf64, #SparseVector>
// CHECK-DAG: %[[Iota:.*]] = memref.cast %[[Iota0]] : memref<2xindex> to memref<?xindex>
// CHECK: %[[T:.*]] = call @newSparseTensor(%[[DimSizes]], %[[DimSizes]], %[[LvlTypes]], %[[Iota]], %[[Iota]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[Reader]])
// CHECK: call @delSparseTensorReader(%[[Reader]])
-// CHECK: return %[[T]] : !llvm.ptr<i8>
-func.func @sparse_new2d(%arg0: !llvm.ptr<i8>) -> tensor<?x?xf32, #CSR> {
- %0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<?x?xf32, #CSR>
+// CHECK: return %[[T]] : !llvm.ptr
+func.func @sparse_new2d(%arg0: !llvm.ptr) -> tensor<?x?xf32, #CSR> {
+ %0 = sparse_tensor.new %arg0 : !llvm.ptr to tensor<?x?xf32, #CSR>
return %0 : tensor<?x?xf32, #CSR>
}
// CHECK-LABEL: func @sparse_new3d(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr) -> !llvm.ptr
// CHECK-DAG: %[[DimShape0:.*]] = memref.alloca() : memref<3xindex>
// CHECK-DAG: %[[DimShape:.*]] = memref.cast %[[DimShape0]] : memref<3xindex> to memref<?xindex>
// CHECK: %[[Reader:.*]] = call @createCheckedSparseTensorReader(%[[A]], %[[DimShape]], %{{.*}})
@@ -124,15 +124,15 @@ func.func @sparse_new2d(%arg0: !llvm.ptr<i8>) -> tensor<?x?xf32, #CSR> {
// CHECK-DAG: %[[LvlSizes:.*]] = memref.cast %[[LvlSizes0]] : memref<3xindex> to memref<?xindex>
// CHECK: %[[T:.*]] = call @newSparseTensor(%[[DimSizes]], %[[LvlSizes]], %[[LvlTypes]], %[[Dim2Lvl]], %[[Lvl2Dim]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[Reader]])
// CHECK: call @delSparseTensorReader(%[[Reader]])
-// CHECK: return %[[T]] : !llvm.ptr<i8>
-func.func @sparse_new3d(%arg0: !llvm.ptr<i8>) -> tensor<?x?x?xf32, #SparseTensor> {
- %0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<?x?x?xf32, #SparseTensor>
+// CHECK: return %[[T]] : !llvm.ptr
+func.func @sparse_new3d(%arg0: !llvm.ptr) -> tensor<?x?x?xf32, #SparseTensor> {
+ %0 = sparse_tensor.new %arg0 : !llvm.ptr to tensor<?x?x?xf32, #SparseTensor>
return %0 : tensor<?x?x?xf32, #SparseTensor>
}
// CHECK-LABEL: func @sparse_init(
// CHECK-SAME: %[[I:.*]]: index,
-// CHECK-SAME: %[[J:.*]]: index) -> !llvm.ptr<i8>
+// CHECK-SAME: %[[J:.*]]: index) -> !llvm.ptr
// CHECK-DAG: %[[Empty:.*]] = arith.constant 0 : i32
// CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index
// CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index
@@ -144,9 +144,9 @@ func.func @sparse_new3d(%arg0: !llvm.ptr<i8>) -> tensor<?x?x?xf32, #SparseTensor
// CHECK-DAG: %[[Iota:.*]] = memref.cast %[[Iota0]] : memref<2xindex> to memref<?xindex>
// CHECK-DAG: memref.store %[[I]], %[[Sizes0]][%[[C0]]] : memref<2xindex>
// CHECK-DAG: memref.store %[[J]], %[[Sizes0]][%[[C1]]] : memref<2xindex>
-// CHECK: %[[NP:.*]] = llvm.mlir.zero : !llvm.ptr<i8>
+// CHECK: %[[NP:.*]] = llvm.mlir.zero : !llvm.ptr
// CHECK: %[[T:.*]] = call @newSparseTensor(%[[Sizes]], %[[Sizes]], %[[LvlTypes]], %[[Iota]], %[[Iota]], %{{.*}}, %{{.*}}, %{{.*}}, %[[Empty]], %[[NP]])
-// CHECK: return %[[T]] : !llvm.ptr<i8>
+// CHECK: return %[[T]] : !llvm.ptr
func.func @sparse_init(%arg0: index, %arg1: index) -> tensor<?x?xf64, #CSR> {
%0 = tensor.empty(%arg0, %arg1) : tensor<?x?xf64, #CSR>
%1 = sparse_tensor.load %0 : tensor<?x?xf64, #CSR>
@@ -154,8 +154,8 @@ func.func @sparse_init(%arg0: index, %arg1: index) -> tensor<?x?xf64, #CSR> {
}
// CHECK-LABEL: func @sparse_release(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
-// CHECK: call @delSparseTensor(%[[A]]) : (!llvm.ptr<i8>) -> ()
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
+// CHECK: call @delSparseTensor(%[[A]]) : (!llvm.ptr) -> ()
// CHECK: return
func.func @sparse_release(%arg0: tensor<128xf64, #SparseVector>) {
bufferization.dealloc_tensor %arg0 : tensor<128xf64, #SparseVector>
@@ -163,17 +163,17 @@ func.func @sparse_release(%arg0: tensor<128xf64, #SparseVector>) {
}
// CHECK-LABEL: func @sparse_nop_cast(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8>
-// CHECK: return %[[A]] : !llvm.ptr<i8>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr) -> !llvm.ptr
+// CHECK: return %[[A]] : !llvm.ptr
func.func @sparse_nop_cast(%arg0: tensor<64xf32, #SparseVector>) -> tensor<?xf32, #SparseVector> {
%0 = tensor.cast %arg0 : tensor<64xf32, #SparseVector> to tensor<?xf32, #SparseVector>
return %0 : tensor<?xf32, #SparseVector>
}
// CHECK-LABEL: func @sparse_positions(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
// CHECK: %[[C:.*]] = arith.constant 0 : index
-// CHECK: %[[T:.*]] = call @sparsePositions0(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
+// CHECK: %[[T:.*]] = call @sparsePositions0(%[[A]], %[[C]]) : (!llvm.ptr, index) -> memref<?xindex>
// CHECK: return %[[T]] : memref<?xindex>
func.func @sparse_positions(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
%0 = sparse_tensor.positions %arg0 { level = 0 : index } : tensor<128xf64, #SparseVector> to memref<?xindex>
@@ -181,9 +181,9 @@ func.func @sparse_positions(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xi
}
// CHECK-LABEL: func @sparse_positions64(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
// CHECK: %[[C:.*]] = arith.constant 0 : index
-// CHECK: %[[T:.*]] = call @sparsePositions64(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xi64>
+// CHECK: %[[T:.*]] = call @sparsePositions64(%[[A]], %[[C]]) : (!llvm.ptr, index) -> memref<?xi64>
// CHECK: return %[[T]] : memref<?xi64>
func.func @sparse_positions64(%arg0: tensor<128xf64, #SparseVector64>) -> memref<?xi64> {
%0 = sparse_tensor.positions %arg0 { level = 0 : index } : tensor<128xf64, #SparseVector64> to memref<?xi64>
@@ -191,9 +191,9 @@ func.func @sparse_positions64(%arg0: tensor<128xf64, #SparseVector64>) -> memref
}
// CHECK-LABEL: func @sparse_positions32(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
// CHECK: %[[C:.*]] = arith.constant 0 : index
-// CHECK: %[[T:.*]] = call @sparsePositions32(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xi32>
+// CHECK: %[[T:.*]] = call @sparsePositions32(%[[A]], %[[C]]) : (!llvm.ptr, index) -> memref<?xi32>
// CHECK: return %[[T]] : memref<?xi32>
func.func @sparse_positions32(%arg0: tensor<128xf64, #SparseVector32>) -> memref<?xi32> {
%0 = sparse_tensor.positions %arg0 { level = 0 : index } : tensor<128xf64, #SparseVector32> to memref<?xi32>
@@ -201,9 +201,9 @@ func.func @sparse_positions32(%arg0: tensor<128xf64, #SparseVector32>) -> memref
}
// CHECK-LABEL: func @sparse_indices(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
// CHECK: %[[C:.*]] = arith.constant 0 : index
-// CHECK: %[[T:.*]] = call @sparseCoordinates0(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
+// CHECK: %[[T:.*]] = call @sparseCoordinates0(%[[A]], %[[C]]) : (!llvm.ptr, index) -> memref<?xindex>
// CHECK: return %[[T]] : memref<?xindex>
func.func @sparse_indices(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
%0 = sparse_tensor.coordinates %arg0 { level = 0 : index } : tensor<128xf64, #SparseVector> to memref<?xindex>
@@ -211,9 +211,9 @@ func.func @sparse_indices(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xind
}
// CHECK-LABEL: func @sparse_indices64(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
// CHECK: %[[C:.*]] = arith.constant 0 : index
-// CHECK: %[[T:.*]] = call @sparseCoordinates64(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xi64>
+// CHECK: %[[T:.*]] = call @sparseCoordinates64(%[[A]], %[[C]]) : (!llvm.ptr, index) -> memref<?xi64>
// CHECK: return %[[T]] : memref<?xi64>
func.func @sparse_indices64(%arg0: tensor<128xf64, #SparseVector64>) -> memref<?xi64> {
%0 = sparse_tensor.coordinates %arg0 { level = 0 : index } : tensor<128xf64, #SparseVector64> to memref<?xi64>
@@ -221,9 +221,9 @@ func.func @sparse_indices64(%arg0: tensor<128xf64, #SparseVector64>) -> memref<?
}
// CHECK-LABEL: func @sparse_indices32(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
// CHECK: %[[C:.*]] = arith.constant 0 : index
-// CHECK: %[[T:.*]] = call @sparseCoordinates32(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xi32>
+// CHECK: %[[T:.*]] = call @sparseCoordinates32(%[[A]], %[[C]]) : (!llvm.ptr, index) -> memref<?xi32>
// CHECK: return %[[T]] : memref<?xi32>
func.func @sparse_indices32(%arg0: tensor<128xf64, #SparseVector32>) -> memref<?xi32> {
%0 = sparse_tensor.coordinates %arg0 { level = 0 : index } : tensor<128xf64, #SparseVector32> to memref<?xi32>
@@ -231,8 +231,8 @@ func.func @sparse_indices32(%arg0: tensor<128xf64, #SparseVector32>) -> memref<?
}
// CHECK-LABEL: func @sparse_valuesf64(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
-// CHECK: %[[T:.*]] = call @sparseValuesF64(%[[A]]) : (!llvm.ptr<i8>) -> memref<?xf64>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
+// CHECK: %[[T:.*]] = call @sparseValuesF64(%[[A]]) : (!llvm.ptr) -> memref<?xf64>
// CHECK: return %[[T]] : memref<?xf64>
func.func @sparse_valuesf64(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xf64> {
%0 = sparse_tensor.values %arg0 : tensor<128xf64, #SparseVector> to memref<?xf64>
@@ -240,8 +240,8 @@ func.func @sparse_valuesf64(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xf
}
// CHECK-LABEL: func @sparse_valuesf32(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
-// CHECK: %[[T:.*]] = call @sparseValuesF32(%[[A]]) : (!llvm.ptr<i8>) -> memref<?xf32>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
+// CHECK: %[[T:.*]] = call @sparseValuesF32(%[[A]]) : (!llvm.ptr) -> memref<?xf32>
// CHECK: return %[[T]] : memref<?xf32>
func.func @sparse_valuesf32(%arg0: tensor<128xf32, #SparseVector>) -> memref<?xf32> {
%0 = sparse_tensor.values %arg0: tensor<128xf32, #SparseVector> to memref<?xf32>
@@ -249,8 +249,8 @@ func.func @sparse_valuesf32(%arg0: tensor<128xf32, #SparseVector>) -> memref<?xf
}
// CHECK-LABEL: func @sparse_valuesi32(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
-// CHECK: %[[T:.*]] = call @sparseValuesI32(%[[A]]) : (!llvm.ptr<i8>) -> memref<?xi32>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
+// CHECK: %[[T:.*]] = call @sparseValuesI32(%[[A]]) : (!llvm.ptr) -> memref<?xi32>
// CHECK: return %[[T]] : memref<?xi32>
func.func @sparse_valuesi32(%arg0: tensor<128xi32, #SparseVector>) -> memref<?xi32> {
%0 = sparse_tensor.values %arg0: tensor<128xi32, #SparseVector> to memref<?xi32>
@@ -258,8 +258,8 @@ func.func @sparse_valuesi32(%arg0: tensor<128xi32, #SparseVector>) -> memref<?xi
}
// CHECK-LABEL: func @sparse_valuesi16(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
-// CHECK: %[[T:.*]] = call @sparseValuesI16(%[[A]]) : (!llvm.ptr<i8>) -> memref<?xi16>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
+// CHECK: %[[T:.*]] = call @sparseValuesI16(%[[A]]) : (!llvm.ptr) -> memref<?xi16>
// CHECK: return %[[T]] : memref<?xi16>
func.func @sparse_valuesi16(%arg0: tensor<128xi16, #SparseVector>) -> memref<?xi16> {
%0 = sparse_tensor.values %arg0: tensor<128xi16, #SparseVector> to memref<?xi16>
@@ -267,8 +267,8 @@ func.func @sparse_valuesi16(%arg0: tensor<128xi16, #SparseVector>) -> memref<?xi
}
// CHECK-LABEL: func @sparse_valuesi8(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
-// CHECK: %[[T:.*]] = call @sparseValuesI8(%[[A]]) : (!llvm.ptr<i8>) -> memref<?xi8>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
+// CHECK: %[[T:.*]] = call @sparseValuesI8(%[[A]]) : (!llvm.ptr) -> memref<?xi8>
// CHECK: return %[[T]] : memref<?xi8>
func.func @sparse_valuesi8(%arg0: tensor<128xi8, #SparseVector>) -> memref<?xi8> {
%0 = sparse_tensor.values %arg0: tensor<128xi8, #SparseVector> to memref<?xi8>
@@ -276,9 +276,9 @@ func.func @sparse_valuesi8(%arg0: tensor<128xi8, #SparseVector>) -> memref<?xi8>
}
// CHECK-LABEL: func @sparse_noe(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr)
// CHECK-DAG: %[[C:.*]] = arith.constant 0 : index
-// CHECK-DAG: %[[T:.*]] = call @sparseValuesF64(%[[A]]) : (!llvm.ptr<i8>) -> memref<?xf64>
+// CHECK-DAG: %[[T:.*]] = call @sparseValuesF64(%[[A]]) : (!llvm.ptr) -> memref<?xf64>
// CHECK: %[[NOE:.*]] = memref.dim %[[T]], %[[C]] : memref<?xf64>
// CHECK: return %[[NOE]] : index
func.func @sparse_noe(%arg0: tensor<128xf64, #SparseVector>) -> index {
@@ -287,34 +287,34 @@ func.func @sparse_noe(%arg0: tensor<128xf64, #SparseVector>) -> index {
}
// CHECK-LABEL: func @sparse_reconstruct(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>
-// CHECK: return %[[A]] : !llvm.ptr<i8>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr
+// CHECK: return %[[A]] : !llvm.ptr
func.func @sparse_reconstruct(%arg0: tensor<128xf32, #SparseVector>) -> tensor<128xf32, #SparseVector> {
%0 = sparse_tensor.load %arg0 : tensor<128xf32, #SparseVector>
return %0 : tensor<128xf32, #SparseVector>
}
// CHECK-LABEL: func @sparse_reconstruct_ins(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>
-// CHECK: call @endLexInsert(%[[A]]) : (!llvm.ptr<i8>) -> ()
-// CHECK: return %[[A]] : !llvm.ptr<i8>
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr
+// CHECK: call @endLexInsert(%[[A]]) : (!llvm.ptr) -> ()
+// CHECK: return %[[A]] : !llvm.ptr
func.func @sparse_reconstruct_ins(%arg0: tensor<128xf32, #SparseVector>) -> tensor<128xf32, #SparseVector> {
%0 = sparse_tensor.load %arg0 hasInserts : tensor<128xf32, #SparseVector>
return %0 : tensor<128xf32, #SparseVector>
}
// CHECK-LABEL: func @sparse_insert(
-// CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>,
+// CHECK-SAME: %[[A:.*]]: !llvm.ptr,
// CHECK-SAME: %[[B:.*]]: index,
-// CHECK-SAME: %[[C:.*]]: f32) -> !llvm.ptr<i8> {
+// CHECK-SAME: %[[C:.*]]: f32) -> !llvm.ptr {
// CHECK-DAG: %[[M:.*]] = memref.alloca() : memref<1xindex>
// CHECK-DAG: %[[V:.*]] = memref.alloca() : memref<f32>
// CHECK-DAG: %[[MC:.*]] = memref.cast %[[M]] : memref<1xindex> to memref<?xindex>
// CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index
// CHECK-DAG: memref.store %[[B]], %[[M]][%[[C0]]] : memref<1xindex>
// CHECK-DAG: memref.store %[[C]], %[[V]][] : memref<f32>
-// CHECK: call @lexInsertF32(%[[A]], %[[MC]], %[[V]]) : (!llvm.ptr<i8>, memref<?xindex>, memref<f32>) -> ()
-// CHECK: return %[[A]] : !llvm.ptr<i8>
+// CHECK: call @lexInsertF32(%[[A]], %[[MC]], %[[V]]) : (!llvm.ptr, memref<?xindex>, memref<f32>) -> ()
+// CHECK: return %[[A]] : !llvm.ptr
func.func @sparse_insert(%arg0: tensor<128xf32, #SparseVector>,
%arg1: index,
%arg2: f32) -> tensor<128xf32, #SparseVector> {
@@ -372,12 +372,12 @@ func.func @sparse_expansion3(%arg0: index, %arg1: index) -> memref<?xindex> {
}
// CHECK-LABEL: func @sparse_compression(
-// CHECK-SAME: %[[A:.*0]]: !llvm.ptr<i8>,
+// CHECK-SAME: %[[A:.*0]]: !llvm.ptr,
// CHECK-SAME: %[[B:.*1]]: memref<?xf64>,
// CHECK-SAME: %[[C:.*2]]: memref<?xi1>,
// CHECK-SAME: %[[D:.*3]]: memref<?xindex>,
// CHECK-SAME: %[[E:.*4]]: index,
-// CHECK-SAME: %[[F:.*5]]: index) -> !llvm.ptr<i8> {
+// CHECK-SAME: %[[F:.*5]]: index) -> !llvm.ptr {
// CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index
// CHECK-DAG: %[[X:.*]] = memref.alloca() : memref<2xindex>
// CHECK-DAG: %[[Y:.*]] = memref.cast %[[X]] : memref<2xindex> to memref<?xindex>
@@ -386,7 +386,7 @@ func.func @sparse_expansion3(%arg0: index, %arg1: index) -> memref<?xindex> {
// CHECK-DAG: memref.dealloc %[[B]] : memref<?xf64>
// CHECK-DAG: memref.dealloc %[[C]] : memref<?xi1>
// CHECK-DAG: memref.dealloc %[[D]] : memref<?xindex>
-// CHECK: return %[[A]] : !llvm.ptr<i8>
+// CHECK: return %[[A]] : !llvm.ptr
func.func @sparse_compression(%tensor: tensor<8x8xf64, #CSR>,
%values: memref<?xf64>,
%filled: memref<?xi1>,
@@ -401,7 +401,7 @@ func.func @sparse_compression(%tensor: tensor<8x8xf64, #CSR>,
// CHECK-LABEL: func @sparse_and_dense_init(
// CHECK: %[[S:.*]] = call @newSparseTensor
// CHECK: %[[D:.*]] = tensor.empty
-// CHECK: return %[[S]], %[[D]] : !llvm.ptr<i8>, tensor<?x?xf64>
+// CHECK: return %[[S]], %[[D]] : !llvm.ptr, tensor<?x?xf64>
func.func @sparse_and_dense_init(%arg0: index, %arg1: index)
-> (tensor<?x?xf64, #CSR>, tensor<?x?xf64>) {
%0 = tensor.empty(%arg0, %arg1) : tensor<?x?xf64, #CSR>
diff --git a/mlir/test/Dialect/SparseTensor/sparse_expand.mlir b/mlir/test/Dialect/SparseTensor/sparse_expand.mlir
index 0f367f12483f63a..4817771a6044ce2 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_expand.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_expand.mlir
@@ -46,7 +46,7 @@
// CHECK-SPARSE: return %[[RET]]
//
// CHECK-CONVERT-LABEL: func @kernel(
-// CHECK-CONVERT-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8>
+// CHECK-CONVERT-SAME: %[[A:.*]]: !llvm.ptr) -> !llvm.ptr
// CHECK-CONVERT-DAG: %[[C1:.*]] = arith.constant 1 : index
// CHECK-CONVERT-DAG: %[[C0:.*]] = arith.constant 0 : index
// CHECK-CONVERT: %[[N:.*]] = call @sparseLvlSize(%[[A]], %[[C1]])
diff --git a/mlir/test/Dialect/SparseTensor/sparse_fill_zero.mlir b/mlir/test/Dialect/SparseTensor/sparse_fill_zero.mlir
index 8ecbc1da965a156..988ab7f85be4134 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_fill_zero.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_fill_zero.mlir
@@ -3,8 +3,8 @@
#DCSR = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : compressed, d1 : compressed) }>
// CHECK-LABEL: func.func @fill_zero_after_alloc(
-// CHECK-SAME: %[[VAL_0:.*]]: !llvm.ptr<i8>,
-// CHECK-SAME: %[[VAL_1:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8> {
+// CHECK-SAME: %[[VAL_0:.*]]: !llvm.ptr,
+// CHECK-SAME: %[[VAL_1:.*]]: !llvm.ptr) -> !llvm.ptr {
// CHECK-DAG: %[[VAL_2:.*]] = arith.constant 0.000000e+00 : f64
// CHECK-DAG: %[[VAL_3:.*]] = arith.constant 1 : i32
// CHECK-DAG: %[[VAL_4:.*]] = arith.constant 0 : i32
@@ -27,8 +27,8 @@
// CHECK: %[[VAL_17:.*]] = memref.cast %[[VAL_16]] : memref<2xindex> to memref<?xindex>
// CHECK: memref.store %[[VAL_5]], %[[VAL_16]]{{\[}}%[[VAL_5]]] : memref<2xindex>
// CHECK: memref.store %[[VAL_6]], %[[VAL_16]]{{\[}}%[[VAL_6]]] : memref<2xindex>
-// CHECK: %[[VAL_18:.*]] = llvm.mlir.zero : !llvm.ptr<i8>
-// CHECK: %[[VAL_19:.*]] = call @newSparseTensor(%[[VAL_15]], %[[VAL_15]], %[[VAL_13]], %[[VAL_17]], %[[VAL_17]], %[[VAL_4]], %[[VAL_4]], %[[VAL_3]], %[[VAL_4]], %[[VAL_18]]) : (memref<?xindex>, memref<?xindex>, memref<?xi8>, memref<?xindex>, memref<?xindex>, i32, i32, i32, i32, !llvm.ptr<i8>) -> !llvm.ptr<i8>
+// CHECK: %[[VAL_18:.*]] = llvm.mlir.zero : !llvm.ptr
+// CHECK: %[[VAL_19:.*]] = call @newSparseTensor(%[[VAL_15]], %[[VAL_15]], %[[VAL_13]], %[[VAL_17]], %[[VAL_17]], %[[VAL_4]], %[[VAL_4]], %[[VAL_3]], %[[VAL_4]], %[[VAL_18]]) : (memref<?xindex>, memref<?xindex>, memref<?xi8>, memref<?xindex>, memref<?xindex>, i32, i32, i32, i32, !llvm.ptr) -> !llvm.ptr
// CHECK: %[[VAL_20:.*]] = memref.alloc() : memref<300xf64>
// CHECK: %[[VAL_21:.*]] = memref.cast %[[VAL_20]] : memref<300xf64> to memref<?xf64>
// CHECK: %[[VAL_22:.*]] = memref.alloc() : memref<300xi1>
@@ -37,16 +37,16 @@
// CHECK: %[[VAL_25:.*]] = memref.cast %[[VAL_24]] : memref<300xindex> to memref<?xindex>
// CHECK: linalg.fill ins(%[[VAL_2]] : f64) outs(%[[VAL_20]] : memref<300xf64>)
// CHECK: linalg.fill ins(%[[VAL_7]] : i1) outs(%[[VAL_22]] : memref<300xi1>)
-// CHECK: %[[VAL_26:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK: %[[VAL_27:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK: %[[VAL_28:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK: %[[VAL_29:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK: %[[VAL_30:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr<i8>) -> memref<?xf64>
-// CHECK: %[[VAL_31:.*]] = call @sparsePositions0(%[[VAL_1]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK: %[[VAL_32:.*]] = call @sparseCoordinates0(%[[VAL_1]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK: %[[VAL_33:.*]] = call @sparsePositions0(%[[VAL_1]], %[[VAL_6]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK: %[[VAL_34:.*]] = call @sparseCoordinates0(%[[VAL_1]], %[[VAL_6]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK: %[[VAL_35:.*]] = call @sparseValuesF64(%[[VAL_1]]) : (!llvm.ptr<i8>) -> memref<?xf64>
+// CHECK: %[[VAL_26:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK: %[[VAL_27:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK: %[[VAL_28:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK: %[[VAL_29:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK: %[[VAL_30:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr) -> memref<?xf64>
+// CHECK: %[[VAL_31:.*]] = call @sparsePositions0(%[[VAL_1]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK: %[[VAL_32:.*]] = call @sparseCoordinates0(%[[VAL_1]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK: %[[VAL_33:.*]] = call @sparsePositions0(%[[VAL_1]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK: %[[VAL_34:.*]] = call @sparseCoordinates0(%[[VAL_1]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK: %[[VAL_35:.*]] = call @sparseValuesF64(%[[VAL_1]]) : (!llvm.ptr) -> memref<?xf64>
// CHECK: %[[VAL_36:.*]] = memref.load %[[VAL_26]]{{\[}}%[[VAL_5]]] : memref<?xindex>
// CHECK: %[[VAL_37:.*]] = memref.load %[[VAL_26]]{{\[}}%[[VAL_6]]] : memref<?xindex>
// CHECK: scf.for %[[VAL_38:.*]] = %[[VAL_36]] to %[[VAL_37]] step %[[VAL_6]] {
@@ -107,13 +107,13 @@
// CHECK: %[[VAL_83:.*]] = memref.alloca() : memref<2xindex>
// CHECK: %[[VAL_84:.*]] = memref.cast %[[VAL_83]] : memref<2xindex> to memref<?xindex>
// CHECK: memref.store %[[VAL_39]], %[[VAL_83]]{{\[}}%[[VAL_5]]] : memref<2xindex>
-// CHECK: func.call @expInsertF64(%[[VAL_19]], %[[VAL_84]], %[[VAL_21]], %[[VAL_23]], %[[VAL_25]], %[[VAL_85:.*]]#2) : (!llvm.ptr<i8>, memref<?xindex>, memref<?xf64>, memref<?xi1>, memref<?xindex>, index) -> ()
+// CHECK: func.call @expInsertF64(%[[VAL_19]], %[[VAL_84]], %[[VAL_21]], %[[VAL_23]], %[[VAL_25]], %[[VAL_85:.*]]#2) : (!llvm.ptr, memref<?xindex>, memref<?xf64>, memref<?xi1>, memref<?xindex>, index) -> ()
// CHECK: }
// CHECK: memref.dealloc %[[VAL_20]] : memref<300xf64>
// CHECK: memref.dealloc %[[VAL_22]] : memref<300xi1>
// CHECK: memref.dealloc %[[VAL_24]] : memref<300xindex>
-// CHECK: call @endLexInsert(%[[VAL_19]]) : (!llvm.ptr<i8>) -> ()
-// CHECK: return %[[VAL_19]] : !llvm.ptr<i8>
+// CHECK: call @endLexInsert(%[[VAL_19]]) : (!llvm.ptr) -> ()
+// CHECK: return %[[VAL_19]] : !llvm.ptr
// CHECK: }
func.func @fill_zero_after_alloc(%arg0: tensor<100x200xf64, #DCSR>,
%arg1: tensor<200x300xf64, #DCSR>) -> tensor<100x300xf64, #DCSR> {
diff --git a/mlir/test/Dialect/SparseTensor/sparse_lower.mlir b/mlir/test/Dialect/SparseTensor/sparse_lower.mlir
index 3b8b86010edd28c..13245f427a7970f 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_lower.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_lower.mlir
@@ -52,15 +52,15 @@
// CHECK-HIR: }
// CHECK-MIR-LABEL: func @matvec(
-// CHECK-MIR-SAME: %[[VAL_0:.*]]: !llvm.ptr<i8>,
+// CHECK-MIR-SAME: %[[VAL_0:.*]]: !llvm.ptr,
// CHECK-MIR-SAME: %[[VAL_1:.*]]: tensor<64xf64>,
// CHECK-MIR-SAME: %[[VAL_2:.*]]: tensor<32xf64>) -> tensor<32xf64> {
// CHECK-MIR-DAG: %[[VAL_3:.*]] = arith.constant 32 : index
// CHECK-MIR-DAG: %[[VAL_4:.*]] = arith.constant 0 : index
// CHECK-MIR-DAG: %[[VAL_5:.*]] = arith.constant 1 : index
-// CHECK-MIR-DAG: %[[VAL_6:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-MIR-DAG: %[[VAL_7:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-MIR-DAG: %[[VAL_8:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr<i8>) -> memref<?xf64>
+// CHECK-MIR-DAG: %[[VAL_6:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-MIR-DAG: %[[VAL_7:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-MIR-DAG: %[[VAL_8:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr) -> memref<?xf64>
// CHECK-MIR-DAG: %[[VAL_9:.*]] = bufferization.to_memref %[[VAL_1]] : memref<64xf64>
// CHECK-MIR-DAG: %[[VAL_11:.*]] = bufferization.to_memref %[[VAL_2]] : memref<32xf64>
// CHECK-MIR: scf.for %[[VAL_14:.*]] = %[[VAL_4]] to %[[VAL_3]] step %[[VAL_5]] {
@@ -83,15 +83,15 @@
// CHECK-MIR: }
// CHECK-LIR-LABEL: func @matvec(
-// CHECK-LIR-SAME: %[[VAL_0:.*]]: !llvm.ptr<i8>,
+// CHECK-LIR-SAME: %[[VAL_0:.*]]: !llvm.ptr,
// CHECK-LIR-SAME: %[[VAL_1:.*]]: memref<64xf64>,
// CHECK-LIR-SAME: %[[VAL_2:.*]]: memref<32xf64>) -> memref<32xf64> {
// CHECK-LIR-DAG: %[[VAL_3:.*]] = arith.constant 32 : index
// CHECK-LIR-DAG: %[[VAL_4:.*]] = arith.constant 0 : index
// CHECK-LIR-DAG: %[[VAL_5:.*]] = arith.constant 1 : index
-// CHECK-LIR-DAG: %[[VAL_6:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-LIR-DAG: %[[VAL_7:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-LIR-DAG: %[[VAL_8:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr<i8>) -> memref<?xf64>
+// CHECK-LIR-DAG: %[[VAL_6:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-LIR-DAG: %[[VAL_7:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-LIR-DAG: %[[VAL_8:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr) -> memref<?xf64>
// CHECK-LIR: scf.for %[[VAL_12:.*]] = %[[VAL_4]] to %[[VAL_3]] step %[[VAL_5]] {
// CHECK-LIR-DAG: %[[VAL_13:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_12]]] : memref<?xindex>
// CHECK-LIR-DAG: %[[VAL_14:.*]] = arith.addi %[[VAL_12]], %[[VAL_5]] : index
diff --git a/mlir/test/Dialect/SparseTensor/sparse_lower_col.mlir b/mlir/test/Dialect/SparseTensor/sparse_lower_col.mlir
index 4d2a3d45aae8456..a987d59f6773139 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_lower_col.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_lower_col.mlir
@@ -53,15 +53,15 @@
// CHECK-HIR: }
// CHECK-MIR-LABEL: func @matvec(
-// CHECK-MIR-SAME: %[[VAL_0:.*]]: !llvm.ptr<i8>,
+// CHECK-MIR-SAME: %[[VAL_0:.*]]: !llvm.ptr,
// CHECK-MIR-SAME: %[[VAL_1:.*]]: tensor<64xf64>,
// CHECK-MIR-SAME: %[[VAL_2:.*]]: tensor<32xf64>) -> tensor<32xf64> {
// CHECK-MIR-DAG: %[[VAL_3:.*]] = arith.constant 64 : index
// CHECK-MIR-DAG: %[[VAL_5:.*]] = arith.constant 0 : index
// CHECK-MIR-DAG: %[[VAL_6:.*]] = arith.constant 1 : index
-// CHECK-MIR-DAG: %[[VAL_7:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-MIR-DAG: %[[VAL_8:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-MIR-DAG: %[[VAL_9:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr<i8>) -> memref<?xf64>
+// CHECK-MIR-DAG: %[[VAL_7:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-MIR-DAG: %[[VAL_8:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-MIR-DAG: %[[VAL_9:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr) -> memref<?xf64>
// CHECK-MIR-DAG: %[[VAL_10:.*]] = bufferization.to_memref %[[VAL_1]] : memref<64xf64>
// CHECK-MIR-DAG: %[[VAL_12:.*]] = bufferization.to_memref %[[VAL_2]] : memref<32xf64>
// CHECK-MIR: scf.for %[[VAL_15:.*]] = %[[VAL_5]] to %[[VAL_3]] step %[[VAL_6]] {
@@ -83,15 +83,15 @@
// CHECK-MIR: }
// CHECK-LIR-LABEL: func @matvec(
-// CHECK-LIR-SAME: %[[VAL_0:.*]]: !llvm.ptr<i8>,
+// CHECK-LIR-SAME: %[[VAL_0:.*]]: !llvm.ptr,
// CHECK-LIR-SAME: %[[VAL_1:.*]]: memref<64xf64>,
// CHECK-LIR-SAME: %[[VAL_2:.*]]: memref<32xf64>) -> memref<32xf64> {
// CHECK-LIR-DAG: %[[VAL_3:.*]] = arith.constant 64 : index
// CHECK-LIR-DAG: %[[VAL_5:.*]] = arith.constant 0 : index
// CHECK-LIR-DAG: %[[VAL_6:.*]] = arith.constant 1 : index
-// CHECK-LIR-DAG: %[[VAL_7:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-LIR-DAG: %[[VAL_8:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-LIR-DAG: %[[VAL_9:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr<i8>) -> memref<?xf64>
+// CHECK-LIR-DAG: %[[VAL_7:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-LIR-DAG: %[[VAL_8:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_6]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-LIR-DAG: %[[VAL_9:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr) -> memref<?xf64>
// CHECK-LIR: scf.for %[[VAL_13:.*]] = %[[VAL_5]] to %[[VAL_3]] step %[[VAL_6]] {
// CHECK-LIR: %[[VAL_14:.*]] = memref.load %[[VAL_1]]{{\[}}%[[VAL_13]]] : memref<64xf64>
// CHECK-LIR: %[[VAL_15:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_13]]] : memref<?xindex>
diff --git a/mlir/test/Dialect/SparseTensor/sparse_lower_inplace.mlir b/mlir/test/Dialect/SparseTensor/sparse_lower_inplace.mlir
index dc81acff5042398..0e09f658fa15caa 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_lower_inplace.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_lower_inplace.mlir
@@ -52,15 +52,15 @@
// CHECK-HIR: }
// CHECK-MIR-LABEL: func @matvec(
-// CHECK-MIR-SAME: %[[VAL_0:.*]]: !llvm.ptr<i8>,
+// CHECK-MIR-SAME: %[[VAL_0:.*]]: !llvm.ptr,
// CHECK-MIR-SAME: %[[VAL_1:.*]]: tensor<64xf64>,
// CHECK-MIR-SAME: %[[VAL_2:.*]]: tensor<32xf64>) -> tensor<32xf64> {
// CHECK-MIR-DAG: %[[VAL_3:.*]] = arith.constant 32 : index
// CHECK-MIR-DAG: %[[VAL_4:.*]] = arith.constant 0 : index
// CHECK-MIR-DAG: %[[VAL_5:.*]] = arith.constant 1 : index
-// CHECK-MIR: %[[VAL_6:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-MIR: %[[VAL_7:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-MIR: %[[VAL_8:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr<i8>) -> memref<?xf64>
+// CHECK-MIR: %[[VAL_6:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-MIR: %[[VAL_7:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-MIR: %[[VAL_8:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr) -> memref<?xf64>
// CHECK-MIR: %[[VAL_9:.*]] = bufferization.to_memref %[[VAL_1]] : memref<64xf64>
// CHECK-MIR: %[[VAL_10:.*]] = bufferization.to_memref %[[VAL_2]] : memref<32xf64>
// CHECK-MIR: scf.for %[[VAL_11:.*]] = %[[VAL_4]] to %[[VAL_3]] step %[[VAL_5]] {
@@ -83,15 +83,15 @@
// CHECK-MIR: }
// CHECK-LIR-LABEL: func @matvec(
-// CHECK-LIR-SAME: %[[VAL_0:.*]]: !llvm.ptr<i8>,
+// CHECK-LIR-SAME: %[[VAL_0:.*]]: !llvm.ptr,
// CHECK-LIR-SAME: %[[VAL_1:.*]]: memref<64xf64>,
// CHECK-LIR-SAME: %[[VAL_2:.*]]: memref<32xf64>) -> memref<32xf64> {
// CHECK-LIR-DAG: %[[VAL_3:.*]] = arith.constant 32 : index
// CHECK-LIR-DAG: %[[VAL_4:.*]] = arith.constant 0 : index
// CHECK-LIR-DAG: %[[VAL_5:.*]] = arith.constant 1 : index
-// CHECK-LIR: %[[VAL_6:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-LIR: %[[VAL_7:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr<i8>, index) -> memref<?xindex>
-// CHECK-LIR: %[[VAL_8:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr<i8>) -> memref<?xf64>
+// CHECK-LIR: %[[VAL_6:.*]] = call @sparsePositions0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-LIR: %[[VAL_7:.*]] = call @sparseCoordinates0(%[[VAL_0]], %[[VAL_5]]) : (!llvm.ptr, index) -> memref<?xindex>
+// CHECK-LIR: %[[VAL_8:.*]] = call @sparseValuesF64(%[[VAL_0]]) : (!llvm.ptr) -> memref<?xf64>
// CHECK-LIR: scf.for %[[VAL_9:.*]] = %[[VAL_4]] to %[[VAL_3]] step %[[VAL_5]] {
// CHECK-LIR-DAG: %[[VAL_10:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_9]]] : memref<?xindex>
// CHECK-LIR-DAG: %[[VAL_11:.*]] = arith.addi %[[VAL_9]], %[[VAL_5]] : index
diff --git a/mlir/test/Dialect/SparseTensor/sparse_perm_lower.mlir b/mlir/test/Dialect/SparseTensor/sparse_perm_lower.mlir
index 42726d998ac7a72..02738a9e4544ac3 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_perm_lower.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_perm_lower.mlir
@@ -48,7 +48,7 @@
// CHECK-HIR: }
//
// CHECK-MIR-LABEL: func @sparse_dynamic_dims(
-// CHECK-MIR-SAME: %[[ARGA:.*]]: !llvm.ptr<i8>,
+// CHECK-MIR-SAME: %[[ARGA:.*]]: !llvm.ptr,
// CHECK-MIR-SAME: %[[ARGX:.*]]: tensor<f32>) -> tensor<f32> {
// CHECK-MIR-DAG: %[[I0:.*]] = arith.constant 0 : index
// CHECK-MIR-DAG: %[[I1:.*]] = arith.constant 1 : index
@@ -56,7 +56,7 @@
// CHECK-MIR-DAG: %[[DimSize0:.*]] = call @sparseLvlSize(%[[ARGA]], %[[I0]])
// CHECK-MIR-DAG: %[[DimSize1:.*]] = call @sparseLvlSize(%[[ARGA]], %[[I1]])
// CHECK-MIR-DAG: %[[DimSize2:.*]] = call @sparseLvlSize(%[[ARGA]], %[[I2]])
-// CHECK-MIR-DAG: %[[VAL_8:.*]] = call @sparseValuesF32(%[[ARGA]]) : (!llvm.ptr<i8>) -> memref<?xf32>
+// CHECK-MIR-DAG: %[[VAL_8:.*]] = call @sparseValuesF32(%[[ARGA]]) : (!llvm.ptr) -> memref<?xf32>
// CHECK-MIR-DAG: %[[VAL_10:.*]] = bufferization.to_memref %[[ARGX]] : memref<f32>
// CHECK-MIR: %[[VAL_11:.*]] = tensor.extract %[[ARGX]][] : tensor<f32>
// CHECK-MIR: %[[VAL_12:.*]] = scf.for %[[D2:.*]] = %[[I0]] to %[[DimSize0]] step %[[I1]] iter_args(%[[VAL_14:.*]] = %[[VAL_11]]) -> (f32) {
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