| // RUN: mlir-opt %s --sparse-tensor-conversion --canonicalize --cse | FileCheck %s |
| |
| #SparseVector = #sparse_tensor.encoding<{ |
| dimLevelType = ["compressed"] |
| }> |
| |
| #SparseVector64 = #sparse_tensor.encoding<{ |
| dimLevelType = ["compressed"], |
| pointerBitWidth = 64, |
| indexBitWidth = 64 |
| }> |
| |
| #SparseVector32 = #sparse_tensor.encoding<{ |
| dimLevelType = ["compressed"], |
| pointerBitWidth = 32, |
| indexBitWidth = 32 |
| }> |
| |
| #SparseMatrix = #sparse_tensor.encoding<{ |
| dimLevelType = ["dense", "compressed"] |
| }> |
| |
| #SparseTensor = #sparse_tensor.encoding<{ |
| dimLevelType = ["dense", "compressed", "compressed"], |
| dimOrdering = affine_map<(i,j,k) -> (k,i,j)> |
| }> |
| |
| // CHECK-LABEL: func @sparse_dim1d( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[C:.*]] = arith.constant 0 : index |
| // CHECK: %[[D:.*]] = call @sparseDimSize(%[[A]], %[[C]]) |
| // CHECK: return %[[D]] : index |
| func @sparse_dim1d(%arg0: tensor<?xf64, #SparseVector>) -> index { |
| %c = arith.constant 0 : index |
| %0 = tensor.dim %arg0, %c : tensor<?xf64, #SparseVector> |
| return %0 : index |
| } |
| |
| // CHECK-LABEL: func @sparse_dim3d( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[C:.*]] = arith.constant 2 : index |
| // CHECK: %[[D:.*]] = call @sparseDimSize(%[[A]], %[[C]]) |
| // CHECK: return %[[D]] : index |
| func @sparse_dim3d(%arg0: tensor<?x?x?xf64, #SparseTensor>) -> index { |
| // Querying for dimension 1 in the tensor type needs to be |
| // permuted into querying for dimension 2 in the stored sparse |
| // tensor scheme, since the latter honors the dimOrdering. |
| %c = arith.constant 1 : index |
| %0 = tensor.dim %arg0, %c : tensor<?x?x?xf64, #SparseTensor> |
| return %0 : index |
| } |
| |
| // CHECK-LABEL: func @sparse_dim3d_const( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[C:.*]] = arith.constant 20 : index |
| // CHECK: return %[[C]] : index |
| func @sparse_dim3d_const(%arg0: tensor<10x20x30xf64, #SparseTensor>) -> index { |
| // Querying for dimension 1 in the tensor type can be directly |
| // folded into the right value (even though it corresponds |
| // to dimension 2 in the stored sparse tensor scheme). |
| %c = arith.constant 1 : index |
| %0 = tensor.dim %arg0, %c : tensor<10x20x30xf64, #SparseTensor> |
| return %0 : index |
| } |
| |
| // CHECK-LABEL: func @sparse_new1d( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[P:.*]] = memref.alloca() : memref<1xi8> |
| // CHECK-DAG: %[[Q:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[R:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[X:.*]] = memref.cast %[[P]] : memref<1xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Y:.*]] = memref.cast %[[Q]] : memref<1xindex> to memref<?xindex> |
| // CHECK-DAG: %[[Z:.*]] = memref.cast %[[R]] : memref<1xindex> to memref<?xindex> |
| // CHECK: %[[T:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[A]]) |
| // CHECK: return %[[T]] : !llvm.ptr<i8> |
| func @sparse_new1d(%arg0: !llvm.ptr<i8>) -> tensor<128xf64, #SparseVector> { |
| %0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<128xf64, #SparseVector> |
| return %0 : tensor<128xf64, #SparseVector> |
| } |
| |
| // CHECK-LABEL: func @sparse_new2d( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[P:.*]] = memref.alloca() : memref<2xi8> |
| // CHECK-DAG: %[[Q:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[R:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[X:.*]] = memref.cast %[[P]] : memref<2xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Y:.*]] = memref.cast %[[Q]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: %[[Z:.*]] = memref.cast %[[R]] : memref<2xindex> to memref<?xindex> |
| // CHECK: %[[T:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[A]]) |
| // CHECK: return %[[T]] : !llvm.ptr<i8> |
| func @sparse_new2d(%arg0: !llvm.ptr<i8>) -> tensor<?x?xf32, #SparseMatrix> { |
| %0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<?x?xf32, #SparseMatrix> |
| return %0 : tensor<?x?xf32, #SparseMatrix> |
| } |
| |
| // CHECK-LABEL: func @sparse_new3d( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[P:.*]] = memref.alloca() : memref<3xi8> |
| // CHECK-DAG: %[[Q:.*]] = memref.alloca() : memref<3xindex> |
| // CHECK-DAG: %[[R:.*]] = memref.alloca() : memref<3xindex> |
| // CHECK-DAG: %[[X:.*]] = memref.cast %[[P]] : memref<3xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Y:.*]] = memref.cast %[[Q]] : memref<3xindex> to memref<?xindex> |
| // CHECK-DAG: %[[Z:.*]] = memref.cast %[[R]] : memref<3xindex> to memref<?xindex> |
| // CHECK: %[[T:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[A]]) |
| // CHECK: return %[[T]] : !llvm.ptr<i8> |
| 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> |
| return %0 : tensor<?x?x?xf32, #SparseTensor> |
| } |
| |
| // CHECK-LABEL: func @sparse_init( |
| // CHECK-SAME: %[[I:.*]]: index, |
| // CHECK-SAME: %[[J:.*]]: index) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[P:.*]] = memref.alloca() : memref<2xi8> |
| // CHECK-DAG: %[[Q:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[R:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[X:.*]] = memref.cast %[[P]] : memref<2xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Y:.*]] = memref.cast %[[Q]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: %[[Z:.*]] = memref.cast %[[R]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: memref.store %[[I]], %[[Q]][%[[C0]]] : memref<2xindex> |
| // CHECK-DAG: memref.store %[[J]], %[[Q]][%[[C1]]] : memref<2xindex> |
| // CHECK: %[[NP:.*]] = llvm.mlir.null : !llvm.ptr<i8> |
| // CHECK: %[[T:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[NP]]) |
| // CHECK: return %[[T]] : !llvm.ptr<i8> |
| func @sparse_init(%arg0: index, %arg1: index) -> tensor<?x?xf64, #SparseMatrix> { |
| %0 = sparse_tensor.init [%arg0, %arg1] : tensor<?x?xf64, #SparseMatrix> |
| return %0 : tensor<?x?xf64, #SparseMatrix> |
| } |
| |
| // CHECK-LABEL: func @sparse_release( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: call @delSparseTensor(%[[A]]) : (!llvm.ptr<i8>) -> () |
| // CHECK: return |
| func @sparse_release(%arg0: tensor<128xf64, #SparseVector>) { |
| sparse_tensor.release %arg0 : tensor<128xf64, #SparseVector> |
| return |
| } |
| |
| // CHECK-LABEL: func @sparse_nop_convert( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK: return %[[A]] : !llvm.ptr<i8> |
| func @sparse_nop_convert(%arg0: tensor<64xf32, #SparseVector>) -> tensor<64xf32, #SparseVector> { |
| %0 = sparse_tensor.convert %arg0 : tensor<64xf32, #SparseVector> to tensor<64xf32, #SparseVector> |
| return %0 : tensor<64xf32, #SparseVector> |
| } |
| |
| // CHECK-LABEL: func @sparse_hidden_nop_cast( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK: return %[[A]] : !llvm.ptr<i8> |
| func @sparse_hidden_nop_cast(%arg0: tensor<32xf32, #SparseVector>) -> tensor<?xf32, #SparseVector> { |
| %0 = sparse_tensor.convert %arg0 : tensor<32xf32, #SparseVector> to tensor<?xf32, #SparseVector> |
| return %0 : tensor<?xf32, #SparseVector> |
| } |
| |
| // CHECK-LABEL: func @sparse_nop_cast( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK: return %[[A]] : !llvm.ptr<i8> |
| 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_convert_1d( |
| // CHECK-SAME: %[[A:.*]]: tensor<?xi32>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[U:.*]] = tensor.dim %[[A]], %[[C0]] : tensor<?xi32> |
| // CHECK-DAG: %[[P:.*]] = memref.alloca() : memref<1xi8> |
| // CHECK-DAG: %[[Q:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[R:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[X:.*]] = memref.cast %[[P]] : memref<1xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Y:.*]] = memref.cast %[[Q]] : memref<1xindex> to memref<?xindex> |
| // CHECK-DAG: %[[Z:.*]] = memref.cast %[[R]] : memref<1xindex> to memref<?xindex> |
| // CHECK: %[[NP:.*]] = llvm.mlir.null : !llvm.ptr<i8> |
| // CHECK: %[[C:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[NP]]) |
| // CHECK: %[[M:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK: %[[T:.*]] = memref.cast %[[M]] : memref<1xindex> to memref<?xindex> |
| // CHECK: scf.for %[[I:.*]] = %[[C0]] to %[[U]] step %[[C1]] { |
| // CHECK: %[[E:.*]] = tensor.extract %[[A]][%[[I]]] : tensor<?xi32> |
| // CHECK: memref.store %[[I]], %[[M]][%[[C0]]] : memref<1xindex> |
| // CHECK: call @addEltI32(%[[C]], %[[E]], %[[T]], %[[Z]]) |
| // CHECK: } |
| // CHECK: %[[T:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[C]]) |
| // CHECK: return %[[T]] : !llvm.ptr<i8> |
| func @sparse_convert_1d(%arg0: tensor<?xi32>) -> tensor<?xi32, #SparseVector> { |
| %0 = sparse_tensor.convert %arg0 : tensor<?xi32> to tensor<?xi32, #SparseVector> |
| return %0 : tensor<?xi32, #SparseVector> |
| } |
| |
| // CHECK-LABEL: func @sparse_convert_1d_ss( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK-DAG: %[[P:.*]] = memref.alloca() : memref<1xi8> |
| // CHECK-DAG: %[[Q:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[R:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[X:.*]] = memref.cast %[[P]] : memref<1xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Y:.*]] = memref.cast %[[Q]] : memref<1xindex> to memref<?xindex> |
| // CHECK-DAG: %[[Z:.*]] = memref.cast %[[R]] : memref<1xindex> to memref<?xindex> |
| // CHECK: %[[C:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[A]]) |
| // CHECK: %[[T:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[C]]) |
| // CHECK: return %[[T]] : !llvm.ptr<i8> |
| func @sparse_convert_1d_ss(%arg0: tensor<?xf32, #SparseVector64>) -> tensor<?xf32, #SparseVector32> { |
| %0 = sparse_tensor.convert %arg0 : tensor<?xf32, #SparseVector64> to tensor<?xf32, #SparseVector32> |
| return %0 : tensor<?xf32, #SparseVector32> |
| } |
| |
| // CHECK-LABEL: func @sparse_convert_2d( |
| // CHECK-SAME: %[[A:.*]]: tensor<2x4xf64>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[P:.*]] = memref.alloca() : memref<2xi8> |
| // CHECK-DAG: %[[Q:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[R:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[X:.*]] = memref.cast %[[P]] : memref<2xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Y:.*]] = memref.cast %[[Q]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: %[[Z:.*]] = memref.cast %[[R]] : memref<2xindex> to memref<?xindex> |
| // CHECK: %[[NP:.*]] = llvm.mlir.null : !llvm.ptr<i8> |
| // CHECK: %[[C:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[NP]]) |
| // CHECK: %[[M:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK: %[[T:.*]] = memref.cast %[[M]] : memref<2xindex> to memref<?xindex> |
| // CHECK: scf.for %[[I:.*]] = %[[C0]] to %{{.*}} step %[[C1]] { |
| // CHECK: scf.for %[[J:.*]] = %[[C0]] to %{{.*}} step %[[C1]] { |
| // CHECK: %[[E:.*]] = tensor.extract %[[A]][%[[I]], %[[J]]] : tensor<2x4xf64> |
| // CHECK: memref.store %[[I]], %[[M]][%[[C0]]] : memref<2xindex> |
| // CHECK: memref.store %[[J]], %[[M]][%[[C1]]] : memref<2xindex> |
| // CHECK: call @addEltF64(%[[C]], %[[E]], %[[T]], %[[Z]]) |
| // CHECK: } |
| // CHECK: } |
| // CHECK: %[[T:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[C]]) |
| // CHECK: return %[[T]] : !llvm.ptr<i8> |
| func @sparse_convert_2d(%arg0: tensor<2x4xf64>) -> tensor<2x4xf64, #SparseMatrix> { |
| %0 = sparse_tensor.convert %arg0 : tensor<2x4xf64> to tensor<2x4xf64, #SparseMatrix> |
| return %0 : tensor<2x4xf64, #SparseMatrix> |
| } |
| |
| // CHECK-LABEL: func @sparse_constant() -> !llvm.ptr<i8> { |
| // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[C2:.*]] = arith.constant 2 : index |
| // CHECK-DAG: %[[P:.*]] = memref.alloca() : memref<2xi8> |
| // CHECK-DAG: %[[Q:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[R:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[X:.*]] = memref.cast %[[P]] : memref<2xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Y:.*]] = memref.cast %[[Q]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: %[[Z:.*]] = memref.cast %[[R]] : memref<2xindex> to memref<?xindex> |
| // CHECK: %[[NP:.*]] = llvm.mlir.null : !llvm.ptr<i8> |
| // CHECK: %[[C:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[NP]]) |
| // CHECK: %[[M:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK: %[[N:.*]] = memref.cast %[[M]] : memref<2xindex> to memref<?xindex> |
| // CHECK: scf.for %[[I:.*]] = %[[C0]] to %[[C2]] step %[[C1]] { |
| // CHECK: memref.store %{{.*}}, %[[M]][%[[C0]]] : memref<2xindex> |
| // CHECK: memref.store %{{.*}}, %[[M]][%[[C1]]] : memref<2xindex> |
| // CHECK: %[[V:.*]] = tensor.extract %{{.*}}[%[[I]]] : tensor<2xf32> |
| // CHECK: call @addEltF32(%{{.*}}, %[[V]], %[[N]], %{{.*}}) |
| // CHECK: } |
| // CHECK: %[[T:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[C]]) |
| // CHECK: return %[[T]] : !llvm.ptr<i8> |
| func @sparse_constant() -> tensor<8x7xf32, #SparseMatrix>{ |
| // Initialize a tensor. |
| %0 = arith.constant sparse<[[0, 0], [1, 6]], [1.0, 5.0]> : tensor<8x7xf32> |
| // Convert the tensor to a sparse tensor. |
| %1 = sparse_tensor.convert %0 : tensor<8x7xf32> to tensor<8x7xf32, #SparseMatrix> |
| return %1 : tensor<8x7xf32, #SparseMatrix> |
| } |
| |
| // CHECK-LABEL: func @sparse_convert_3d( |
| // CHECK-SAME: %[[A:.*]]: tensor<?x?x?xf64>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[C2:.*]] = arith.constant 2 : index |
| // CHECK-DAG: %[[U1:.*]] = tensor.dim %[[A]], %[[C0]] : tensor<?x?x?xf64> |
| // CHECK-DAG: %[[U2:.*]] = tensor.dim %[[A]], %[[C1]] : tensor<?x?x?xf64> |
| // CHECK-DAG: %[[U3:.*]] = tensor.dim %[[A]], %[[C2]] : tensor<?x?x?xf64> |
| // CHECK-DAG: %[[P:.*]] = memref.alloca() : memref<3xi8> |
| // CHECK-DAG: %[[Q:.*]] = memref.alloca() : memref<3xindex> |
| // CHECK-DAG: %[[R:.*]] = memref.alloca() : memref<3xindex> |
| // CHECK-DAG: %[[X:.*]] = memref.cast %[[P]] : memref<3xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Y:.*]] = memref.cast %[[Q]] : memref<3xindex> to memref<?xindex> |
| // CHECK-DAG: %[[Z:.*]] = memref.cast %[[R]] : memref<3xindex> to memref<?xindex> |
| // CHECK: %[[NP:.*]] = llvm.mlir.null : !llvm.ptr<i8> |
| // CHECK: %[[C:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[NP]]) |
| // CHECK: %[[M:.*]] = memref.alloca() : memref<3xindex> |
| // CHECK: %[[N:.*]] = memref.cast %[[M]] : memref<3xindex> to memref<?xindex> |
| // CHECK: scf.for %[[I:.*]] = %[[C0]] to %[[U1]] step %[[C1]] { |
| // CHECK: scf.for %[[J:.*]] = %[[C0]] to %[[U2]] step %[[C1]] { |
| // CHECK: scf.for %[[K:.*]] = %[[C0]] to %[[U3]] step %[[C1]] { |
| // CHECK: %[[E:.*]] = tensor.extract %[[A]][%[[I]], %[[J]], %[[K]]] : tensor<?x?x?xf64> |
| // CHECK: memref.store %[[I]], %[[M]][%[[C0]]] : memref<3xindex> |
| // CHECK: memref.store %[[J]], %[[M]][%[[C1]]] : memref<3xindex> |
| // CHECK: memref.store %[[K]], %[[M]][%[[C2]]] : memref<3xindex> |
| // CHECK: call @addEltF64(%[[C]], %[[E]], %[[N]], %[[Z]]) |
| // CHECK: } |
| // CHECK: } |
| // CHECK: } |
| // CHECK: %[[T:.*]] = call @newSparseTensor(%[[X]], %[[Y]], %[[Z]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %[[C]]) |
| // CHECK: return %[[T]] : !llvm.ptr<i8> |
| func @sparse_convert_3d(%arg0: tensor<?x?x?xf64>) -> tensor<?x?x?xf64, #SparseTensor> { |
| %0 = sparse_tensor.convert %arg0 : tensor<?x?x?xf64> to tensor<?x?x?xf64, #SparseTensor> |
| return %0 : tensor<?x?x?xf64, #SparseTensor> |
| } |
| |
| // CHECK-LABEL: func @sparse_pointers( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[C:.*]] = arith.constant 0 : index |
| // CHECK: %[[T:.*]] = call @sparsePointers(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xindex> |
| // CHECK: return %[[T]] : memref<?xindex> |
| func @sparse_pointers(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> { |
| %c = arith.constant 0 : index |
| %0 = sparse_tensor.pointers %arg0, %c : tensor<128xf64, #SparseVector> to memref<?xindex> |
| return %0 : memref<?xindex> |
| } |
| |
| // CHECK-LABEL: func @sparse_pointers64( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[C:.*]] = arith.constant 0 : index |
| // CHECK: %[[T:.*]] = call @sparsePointers64(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xi64> |
| // CHECK: return %[[T]] : memref<?xi64> |
| func @sparse_pointers64(%arg0: tensor<128xf64, #SparseVector64>) -> memref<?xi64> { |
| %c = arith.constant 0 : index |
| %0 = sparse_tensor.pointers %arg0, %c : tensor<128xf64, #SparseVector64> to memref<?xi64> |
| return %0 : memref<?xi64> |
| } |
| |
| // CHECK-LABEL: func @sparse_pointers32( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[C:.*]] = arith.constant 0 : index |
| // CHECK: %[[T:.*]] = call @sparsePointers32(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xi32> |
| // CHECK: return %[[T]] : memref<?xi32> |
| func @sparse_pointers32(%arg0: tensor<128xf64, #SparseVector32>) -> memref<?xi32> { |
| %c = arith.constant 0 : index |
| %0 = sparse_tensor.pointers %arg0, %c : tensor<128xf64, #SparseVector32> to memref<?xi32> |
| return %0 : memref<?xi32> |
| } |
| |
| // CHECK-LABEL: func @sparse_indices( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[C:.*]] = arith.constant 0 : index |
| // CHECK: %[[T:.*]] = call @sparseIndices(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xindex> |
| // CHECK: return %[[T]] : memref<?xindex> |
| func @sparse_indices(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> { |
| %c = arith.constant 0 : index |
| %0 = sparse_tensor.indices %arg0, %c : tensor<128xf64, #SparseVector> to memref<?xindex> |
| return %0 : memref<?xindex> |
| } |
| |
| // CHECK-LABEL: func @sparse_indices64( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[C:.*]] = arith.constant 0 : index |
| // CHECK: %[[T:.*]] = call @sparseIndices64(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xi64> |
| // CHECK: return %[[T]] : memref<?xi64> |
| func @sparse_indices64(%arg0: tensor<128xf64, #SparseVector64>) -> memref<?xi64> { |
| %c = arith.constant 0 : index |
| %0 = sparse_tensor.indices %arg0, %c : tensor<128xf64, #SparseVector64> to memref<?xi64> |
| return %0 : memref<?xi64> |
| } |
| |
| // CHECK-LABEL: func @sparse_indices32( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[C:.*]] = arith.constant 0 : index |
| // CHECK: %[[T:.*]] = call @sparseIndices32(%[[A]], %[[C]]) : (!llvm.ptr<i8>, index) -> memref<?xi32> |
| // CHECK: return %[[T]] : memref<?xi32> |
| func @sparse_indices32(%arg0: tensor<128xf64, #SparseVector32>) -> memref<?xi32> { |
| %c = arith.constant 0 : index |
| %0 = sparse_tensor.indices %arg0, %c : tensor<128xf64, #SparseVector32> to memref<?xi32> |
| return %0 : memref<?xi32> |
| } |
| |
| // CHECK-LABEL: func @sparse_valuesf64( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[T:.*]] = call @sparseValuesF64(%[[A]]) : (!llvm.ptr<i8>) -> memref<?xf64> |
| // CHECK: return %[[T]] : memref<?xf64> |
| func @sparse_valuesf64(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xf64> { |
| %0 = sparse_tensor.values %arg0 : tensor<128xf64, #SparseVector> to memref<?xf64> |
| return %0 : memref<?xf64> |
| } |
| |
| // CHECK-LABEL: func @sparse_valuesf32( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[T:.*]] = call @sparseValuesF32(%[[A]]) : (!llvm.ptr<i8>) -> memref<?xf32> |
| // CHECK: return %[[T]] : memref<?xf32> |
| func @sparse_valuesf32(%arg0: tensor<128xf32, #SparseVector>) -> memref<?xf32> { |
| %0 = sparse_tensor.values %arg0: tensor<128xf32, #SparseVector> to memref<?xf32> |
| return %0 : memref<?xf32> |
| } |
| |
| // CHECK-LABEL: func @sparse_valuesi32( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[T:.*]] = call @sparseValuesI32(%[[A]]) : (!llvm.ptr<i8>) -> memref<?xi32> |
| // CHECK: return %[[T]] : memref<?xi32> |
| func @sparse_valuesi32(%arg0: tensor<128xi32, #SparseVector>) -> memref<?xi32> { |
| %0 = sparse_tensor.values %arg0: tensor<128xi32, #SparseVector> to memref<?xi32> |
| return %0 : memref<?xi32> |
| } |
| |
| // CHECK-LABEL: func @sparse_valuesi16( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[T:.*]] = call @sparseValuesI16(%[[A]]) : (!llvm.ptr<i8>) -> memref<?xi16> |
| // CHECK: return %[[T]] : memref<?xi16> |
| func @sparse_valuesi16(%arg0: tensor<128xi16, #SparseVector>) -> memref<?xi16> { |
| %0 = sparse_tensor.values %arg0: tensor<128xi16, #SparseVector> to memref<?xi16> |
| return %0 : memref<?xi16> |
| } |
| |
| // CHECK-LABEL: func @sparse_valuesi8( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>) |
| // CHECK: %[[T:.*]] = call @sparseValuesI8(%[[A]]) : (!llvm.ptr<i8>) -> memref<?xi8> |
| // CHECK: return %[[T]] : memref<?xi8> |
| func @sparse_valuesi8(%arg0: tensor<128xi8, #SparseVector>) -> memref<?xi8> { |
| %0 = sparse_tensor.values %arg0: tensor<128xi8, #SparseVector> to memref<?xi8> |
| return %0 : memref<?xi8> |
| } |
| |
| // CHECK-LABEL: func @sparse_reconstruct( |
| // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8> |
| // CHECK: return %[[A]] : !llvm.ptr<i8> |
| 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 @endInsert(%[[A]]) : (!llvm.ptr<i8>) -> () |
| // CHECK: return %[[A]] : !llvm.ptr<i8> |
| 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: %[[B:.*]]: memref<?xindex>, |
| // CHECK-SAME: %[[C:.*]]: f32) { |
| // CHECK: call @lexInsertF32(%[[A]], %[[B]], %[[C]]) : (!llvm.ptr<i8>, memref<?xindex>, f32) -> () |
| // CHECK: return |
| func @sparse_insert(%arg0: tensor<128xf32, #SparseVector>, |
| %arg1: memref<?xindex>, |
| %arg2: f32) { |
| sparse_tensor.lex_insert %arg0, %arg1, %arg2 : tensor<128xf32, #SparseVector>, memref<?xindex>, f32 |
| return |
| } |
| |
