| // RUN: mlir-opt %s --sparse-tensor-conversion --canonicalize --cse | FileCheck %s |
| |
| #SparseVector = #sparse_tensor.encoding<{ |
| dimLevelType = ["compressed"] |
| }> |
| |
| #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_convert_1d( |
| // CHECK-SAME: %[[Arg:.*]]: !llvm.ptr<i8>) -> tensor<13xi32> |
| // CHECK-DAG: %[[I0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[I13:.*]] = arith.constant 13 : index |
| // CHECK-DAG: %[[AttrsS:.*]] = memref.alloca() : memref<1xi8> |
| // CHECK-DAG: %[[AttrsD:.*]] = memref.cast %[[AttrsS]] : memref<1xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Attr0:.*]] = arith.constant 0 : i8 |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I0]]] : memref<1xi8> |
| // CHECK-DAG: %[[SizesS:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[SizesD:.*]] = memref.cast %[[SizesS]] : memref<1xindex> to memref<?xindex> |
| // CHECK-DAG: memref.store %[[I13]], %[[SizesS]][%[[I0]]] : memref<1xindex> |
| // CHECK-DAG: %[[PermS:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[PermD:.*]] = memref.cast %[[PermS]] : memref<1xindex> to memref<?xindex> |
| // CHECK-DAG: memref.store %[[I0]], %[[PermS]][%[[I0]]] : memref<1xindex> |
| // CHECK-DAG: %[[SecTp:.*]] = arith.constant 1 : i32 |
| // CHECK-DAG: %[[ElemTp:.*]] = arith.constant 4 : i32 |
| // CHECK-DAG: %[[ActionToIter:.*]] = arith.constant 5 : i32 |
| // CHECK-DAG: %[[Iter:.*]] = call @newSparseTensor(%[[AttrsD]], %[[SizesD]], %[[PermD]], %[[SecTp]], %[[SecTp]], %[[ElemTp]], %[[ActionToIter]], %[[Arg]]) : (memref<?xi8>, memref<?xindex>, memref<?xindex>, i32, i32, i32, i32, !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[IndS:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[IndD:.*]] = memref.cast %[[IndS]] : memref<1xindex> to memref<?xindex> |
| // CHECK-DAG: %[[ElemBuffer:.*]] = memref.alloca() : memref<i32> |
| // CHECK-DAG: %[[M:.*]] = memref.alloc() : memref<13xi32> |
| // CHECK-DAG: %[[E0:.*]] = arith.constant 0 : i32 |
| // CHECK-DAG: linalg.fill(%[[E0]], %[[M]]) : i32, memref<13xi32> |
| // CHECK: scf.while : () -> () { |
| // CHECK: %[[Cond:.*]] = call @getNextI32(%[[Iter]], %[[IndD]], %[[ElemBuffer]]) : (!llvm.ptr<i8>, memref<?xindex>, memref<i32>) -> i1 |
| // CHECK: scf.condition(%[[Cond]]) |
| // CHECK: } do { |
| // CHECK: %[[Iv0:.*]] = memref.load %[[IndS]][%[[I0]]] : memref<1xindex> |
| // CHECK: %[[ElemVal:.*]] = memref.load %[[ElemBuffer]][] : memref<i32> |
| // CHECK: memref.store %[[ElemVal]], %[[M]][%[[Iv0]]] : memref<13xi32> |
| // CHECK: scf.yield |
| // CHECK: } |
| // CHECK: %[[T:.*]] = bufferization.to_tensor %[[M]] : memref<13xi32> |
| // CHECK: return %[[T]] : tensor<13xi32> |
| func @sparse_convert_1d(%arg0: tensor<13xi32, #SparseVector>) -> tensor<13xi32> { |
| %0 = sparse_tensor.convert %arg0 : tensor<13xi32, #SparseVector> to tensor<13xi32> |
| return %0 : tensor<13xi32> |
| } |
| |
| // CHECK-LABEL: func @sparse_convert_1d_dyn( |
| // CHECK-SAME: %[[Arg:.*]]: !llvm.ptr<i8>) -> tensor<?xi32> |
| // CHECK-DAG: %[[I0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[AttrsS:.*]] = memref.alloca() : memref<1xi8> |
| // CHECK-DAG: %[[AttrsD:.*]] = memref.cast %[[AttrsS]] : memref<1xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Attr0:.*]] = arith.constant 0 : i8 |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I0]]] : memref<1xi8> |
| // CHECK-DAG: %[[SizesS:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[SizesD:.*]] = memref.cast %[[SizesS]] : memref<1xindex> to memref<?xindex> |
| // CHECK-DAG: %[[SizeI0:.*]] = call @sparseDimSize(%[[Arg]], %[[I0]]) : (!llvm.ptr<i8>, index) -> index |
| // CHECK-DAG: memref.store %[[SizeI0]], %[[SizesS]][%[[I0]]] : memref<1xindex> |
| // CHECK-DAG: %[[PermS:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[PermD:.*]] = memref.cast %[[PermS]] : memref<1xindex> to memref<?xindex> |
| // CHECK-DAG: memref.store %[[I0]], %[[PermS]][%[[I0]]] : memref<1xindex> |
| // CHECK-DAG: %[[SecTp:.*]] = arith.constant 1 : i32 |
| // CHECK-DAG: %[[ElemTp:.*]] = arith.constant 4 : i32 |
| // CHECK-DAG: %[[ActionToIter:.*]] = arith.constant 5 : i32 |
| // CHECK-DAG: %[[Iter:.*]] = call @newSparseTensor(%[[AttrsD]], %[[SizesD]], %[[PermD]], %[[SecTp]], %[[SecTp]], %[[ElemTp]], %[[ActionToIter]], %[[Arg]]) : (memref<?xi8>, memref<?xindex>, memref<?xindex>, i32, i32, i32, i32, !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[IndS:.*]] = memref.alloca() : memref<1xindex> |
| // CHECK-DAG: %[[IndD:.*]] = memref.cast %[[IndS]] : memref<1xindex> to memref<?xindex> |
| // CHECK-DAG: %[[ElemBuffer:.*]] = memref.alloca() : memref<i32> |
| // CHECK-DAG: %[[M:.*]] = memref.alloc(%[[SizeI0]]) : memref<?xi32> |
| // CHECK-DAG: %[[E0:.*]] = arith.constant 0 : i32 |
| // CHECK-DAG: linalg.fill(%[[E0]], %[[M]]) : i32, memref<?xi32> |
| // CHECK: scf.while : () -> () { |
| // CHECK: %[[Cond:.*]] = call @getNextI32(%[[Iter]], %[[IndD]], %[[ElemBuffer]]) : (!llvm.ptr<i8>, memref<?xindex>, memref<i32>) -> i1 |
| // CHECK: scf.condition(%[[Cond]]) |
| // CHECK: } do { |
| // CHECK: %[[Iv0:.*]] = memref.load %[[IndS]][%[[I0]]] : memref<1xindex> |
| // CHECK: %[[ElemVal:.*]] = memref.load %[[ElemBuffer]][] : memref<i32> |
| // CHECK: memref.store %[[ElemVal]], %[[M]][%[[Iv0]]] : memref<?xi32> |
| // CHECK: scf.yield |
| // CHECK: } |
| // CHECK: %[[T:.*]] = bufferization.to_tensor %[[M]] : memref<?xi32> |
| // CHECK: return %[[T]] : tensor<?xi32> |
| func @sparse_convert_1d_dyn(%arg0: tensor<?xi32, #SparseVector>) -> tensor<?xi32> { |
| %0 = sparse_tensor.convert %arg0 : tensor<?xi32, #SparseVector> to tensor<?xi32> |
| return %0 : tensor<?xi32> |
| } |
| |
| // CHECK-LABEL: func @sparse_convert_2d( |
| // CHECK-SAME: %[[Arg:.*]]: !llvm.ptr<i8>) -> tensor<2x4xf64> |
| // CHECK-DAG: %[[I0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[I1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[I2:.*]] = arith.constant 2 : index |
| // CHECK-DAG: %[[I4:.*]] = arith.constant 4 : index |
| // CHECK-DAG: %[[AttrsS:.*]] = memref.alloca() : memref<2xi8> |
| // CHECK-DAG: %[[AttrsD:.*]] = memref.cast %[[AttrsS]] : memref<2xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Attr0:.*]] = arith.constant 0 : i8 |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I0]]] : memref<2xi8> |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I1]]] : memref<2xi8> |
| // CHECK-DAG: %[[SizesS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[SizesD:.*]] = memref.cast %[[SizesS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: memref.store %[[I2]], %[[SizesS]][%[[I0]]] : memref<2xindex> |
| // CHECK-DAG: memref.store %[[I4]], %[[SizesS]][%[[I1]]] : memref<2xindex> |
| // CHECK-DAG: %[[PermS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[PermD:.*]] = memref.cast %[[PermS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: memref.store %[[I0]], %[[PermS]][%[[I0]]] : memref<2xindex> |
| // CHECK-DAG: memref.store %[[I1]], %[[PermS]][%[[I1]]] : memref<2xindex> |
| // CHECK-DAG: %[[ActionToIter:.*]] = arith.constant 5 : i32 |
| // CHECK-DAG: %[[Iter:.*]] = call @newSparseTensor(%[[AttrsD]], %[[SizesD]], %[[PermD]], %{{.*}}, %{{.*}}, %{{.*}}, %[[ActionToIter]], %[[Arg]]) : (memref<?xi8>, memref<?xindex>, memref<?xindex>, i32, i32, i32, i32, !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[IndS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[IndD:.*]] = memref.cast %[[IndS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: %[[ElemBuffer:.*]] = memref.alloca() : memref<f64> |
| // CHECK-DAG: %[[M:.*]] = memref.alloc() : memref<2x4xf64> |
| // CHECK-DAG: %[[E0:.*]] = arith.constant 0.000000e+00 : f64 |
| // CHECK-DAG: linalg.fill(%[[E0]], %[[M]]) : f64, memref<2x4xf64> |
| // CHECK: scf.while : () -> () { |
| // CHECK: %[[Cond:.*]] = call @getNextF64(%[[Iter]], %[[IndD]], %[[ElemBuffer]]) : (!llvm.ptr<i8>, memref<?xindex>, memref<f64>) -> i1 |
| // CHECK: scf.condition(%[[Cond]]) |
| // CHECK: } do { |
| // CHECK: %[[Iv0:.*]] = memref.load %[[IndS]][%[[I0]]] : memref<2xindex> |
| // CHECK: %[[Iv1:.*]] = memref.load %[[IndS]][%[[I1]]] : memref<2xindex> |
| // CHECK: %[[ElemVal:.*]] = memref.load %[[ElemBuffer]][] : memref<f64> |
| // CHECK: memref.store %[[ElemVal]], %[[M]][%[[Iv0]], %[[Iv1]]] : memref<2x4xf64> |
| // CHECK: scf.yield |
| // CHECK: } |
| // CHECK: %[[T:.*]] = bufferization.to_tensor %[[M]] : memref<2x4xf64> |
| // CHECK: return %[[T]] : tensor<2x4xf64> |
| func @sparse_convert_2d(%arg0: tensor<2x4xf64, #SparseMatrix>) -> tensor<2x4xf64> { |
| %0 = sparse_tensor.convert %arg0 : tensor<2x4xf64, #SparseMatrix> to tensor<2x4xf64> |
| return %0 : tensor<2x4xf64> |
| } |
| |
| // CHECK-LABEL: func @sparse_convert_2d_dyn0( |
| // CHECK-SAME: %[[Arg:.*]]: !llvm.ptr<i8>) -> tensor<?x4xf64> |
| // CHECK-DAG: %[[I0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[I1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[I4:.*]] = arith.constant 4 : index |
| // CHECK-DAG: %[[AttrsS:.*]] = memref.alloca() : memref<2xi8> |
| // CHECK-DAG: %[[AttrsD:.*]] = memref.cast %[[AttrsS]] : memref<2xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Attr0:.*]] = arith.constant 0 : i8 |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I0]]] : memref<2xi8> |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I1]]] : memref<2xi8> |
| // CHECK-DAG: %[[SizesS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[SizesD:.*]] = memref.cast %[[SizesS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: %[[SizeI0:.*]] = call @sparseDimSize(%[[Arg]], %[[I0]]) : (!llvm.ptr<i8>, index) -> index |
| // CHECK-DAG: memref.store %[[SizeI0]], %[[SizesS]][%[[I0]]] : memref<2xindex> |
| // CHECK-DAG: memref.store %[[I4]], %[[SizesS]][%[[I1]]] : memref<2xindex> |
| // CHECK-DAG: %[[PermS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[PermD:.*]] = memref.cast %[[PermS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: memref.store %[[I0]], %[[PermS]][%[[I0]]] : memref<2xindex> |
| // CHECK-DAG: memref.store %[[I1]], %[[PermS]][%[[I1]]] : memref<2xindex> |
| // CHECK-DAG: %[[ActionToIter:.*]] = arith.constant 5 : i32 |
| // CHECK-DAG: %[[Iter:.*]] = call @newSparseTensor(%[[AttrsD]], %[[SizesD]], %[[PermD]], %{{.*}}, %{{.*}}, %{{.*}}, %[[ActionToIter]], %[[Arg]]) : (memref<?xi8>, memref<?xindex>, memref<?xindex>, i32, i32, i32, i32, !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[IndS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[IndD:.*]] = memref.cast %[[IndS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: %[[ElemBuffer:.*]] = memref.alloca() : memref<f64> |
| // CHECK-DAG: %[[M:.*]] = memref.alloc(%[[SizeI0]]) : memref<?x4xf64> |
| // CHECK-DAG: %[[E0:.*]] = arith.constant 0.000000e+00 : f64 |
| // CHECK-DAG: linalg.fill(%[[E0]], %[[M]]) : f64, memref<?x4xf64> |
| // CHECK: scf.while : () -> () { |
| // CHECK: %[[Cond:.*]] = call @getNextF64(%[[Iter]], %[[IndD]], %[[ElemBuffer]]) : (!llvm.ptr<i8>, memref<?xindex>, memref<f64>) -> i1 |
| // CHECK: scf.condition(%[[Cond]]) |
| // CHECK: } do { |
| // CHECK: %[[Iv0:.*]] = memref.load %[[IndS]][%[[I0]]] : memref<2xindex> |
| // CHECK: %[[Iv1:.*]] = memref.load %[[IndS]][%[[I1]]] : memref<2xindex> |
| // CHECK: %[[ElemVal:.*]] = memref.load %[[ElemBuffer]][] : memref<f64> |
| // CHECK: memref.store %[[ElemVal]], %[[M]][%[[Iv0]], %[[Iv1]]] : memref<?x4xf64> |
| // CHECK: scf.yield |
| // CHECK: } |
| // CHECK: %[[T:.*]] = bufferization.to_tensor %[[M]] : memref<?x4xf64> |
| // CHECK: return %[[T]] : tensor<?x4xf64> |
| func @sparse_convert_2d_dyn0(%arg0: tensor<?x4xf64, #SparseMatrix>) -> tensor<?x4xf64> { |
| %0 = sparse_tensor.convert %arg0 : tensor<?x4xf64, #SparseMatrix> to tensor<?x4xf64> |
| return %0 : tensor<?x4xf64> |
| } |
| |
| // CHECK-LABEL: func @sparse_convert_2d_dyn1( |
| // CHECK-SAME: %[[Arg:.*]]: !llvm.ptr<i8>) -> tensor<2x?xf64> |
| // CHECK-DAG: %[[I0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[I1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[I2:.*]] = arith.constant 2 : index |
| // CHECK-DAG: %[[AttrsS:.*]] = memref.alloca() : memref<2xi8> |
| // CHECK-DAG: %[[AttrsD:.*]] = memref.cast %[[AttrsS]] : memref<2xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Attr0:.*]] = arith.constant 0 : i8 |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I0]]] : memref<2xi8> |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I1]]] : memref<2xi8> |
| // CHECK-DAG: %[[SizesS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[SizesD:.*]] = memref.cast %[[SizesS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: %[[SizeI1:.*]] = call @sparseDimSize(%[[Arg]], %[[I1]]) : (!llvm.ptr<i8>, index) -> index |
| // CHECK-DAG: memref.store %[[I2]], %[[SizesS]][%[[I0]]] : memref<2xindex> |
| // CHECK-DAG: memref.store %[[SizeI1]], %[[SizesS]][%[[I1]]] : memref<2xindex> |
| // CHECK-DAG: %[[PermS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[PermD:.*]] = memref.cast %[[PermS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: memref.store %[[I0]], %[[PermS]][%[[I0]]] : memref<2xindex> |
| // CHECK-DAG: memref.store %[[I1]], %[[PermS]][%[[I1]]] : memref<2xindex> |
| // CHECK-DAG: %[[ActionToIter:.*]] = arith.constant 5 : i32 |
| // CHECK-DAG: %[[Iter:.*]] = call @newSparseTensor(%[[AttrsD]], %[[SizesD]], %[[PermD]], %{{.*}}, %{{.*}}, %{{.*}}, %[[ActionToIter]], %[[Arg]]) : (memref<?xi8>, memref<?xindex>, memref<?xindex>, i32, i32, i32, i32, !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[IndS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[IndD:.*]] = memref.cast %[[IndS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: %[[ElemBuffer:.*]] = memref.alloca() : memref<f64> |
| // CHECK-DAG: %[[M:.*]] = memref.alloc(%[[SizeI1]]) : memref<2x?xf64> |
| // CHECK-DAG: %[[E0:.*]] = arith.constant 0.000000e+00 : f64 |
| // CHECK-DAG: linalg.fill(%[[E0]], %[[M]]) : f64, memref<2x?xf64> |
| // CHECK: scf.while : () -> () { |
| // CHECK: %[[Cond:.*]] = call @getNextF64(%[[Iter]], %[[IndD]], %[[ElemBuffer]]) : (!llvm.ptr<i8>, memref<?xindex>, memref<f64>) -> i1 |
| // CHECK: scf.condition(%[[Cond]]) |
| // CHECK: } do { |
| // CHECK: %[[Iv0:.*]] = memref.load %[[IndS]][%[[I0]]] : memref<2xindex> |
| // CHECK: %[[Iv1:.*]] = memref.load %[[IndS]][%[[I1]]] : memref<2xindex> |
| // CHECK: %[[ElemVal:.*]] = memref.load %[[ElemBuffer]][] : memref<f64> |
| // CHECK: memref.store %[[ElemVal]], %[[M]][%[[Iv0]], %[[Iv1]]] : memref<2x?xf64> |
| // CHECK: scf.yield |
| // CHECK: } |
| // CHECK: %[[T:.*]] = bufferization.to_tensor %[[M]] : memref<2x?xf64> |
| // CHECK: return %[[T]] : tensor<2x?xf64> |
| func @sparse_convert_2d_dyn1(%arg0: tensor<2x?xf64, #SparseMatrix>) -> tensor<2x?xf64> { |
| %0 = sparse_tensor.convert %arg0 : tensor<2x?xf64, #SparseMatrix> to tensor<2x?xf64> |
| return %0 : tensor<2x?xf64> |
| } |
| |
| // CHECK-LABEL: func @sparse_convert_2d_dyn2( |
| // CHECK-SAME: %[[Arg:.*]]: !llvm.ptr<i8>) -> tensor<?x?xf64> |
| // CHECK-DAG: %[[I0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[I1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[AttrsS:.*]] = memref.alloca() : memref<2xi8> |
| // CHECK-DAG: %[[AttrsD:.*]] = memref.cast %[[AttrsS]] : memref<2xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Attr0:.*]] = arith.constant 0 : i8 |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I0]]] : memref<2xi8> |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I1]]] : memref<2xi8> |
| // CHECK-DAG: %[[SizesS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[SizesD:.*]] = memref.cast %[[SizesS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: %[[SizeI0:.*]] = call @sparseDimSize(%[[Arg]], %[[I0]]) : (!llvm.ptr<i8>, index) -> index |
| // CHECK-DAG: %[[SizeI1:.*]] = call @sparseDimSize(%[[Arg]], %[[I1]]) : (!llvm.ptr<i8>, index) -> index |
| // CHECK-DAG: memref.store %[[SizeI0]], %[[SizesS]][%[[I0]]] : memref<2xindex> |
| // CHECK-DAG: memref.store %[[SizeI1]], %[[SizesS]][%[[I1]]] : memref<2xindex> |
| // CHECK-DAG: %[[PermS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[PermD:.*]] = memref.cast %[[PermS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: memref.store %[[I0]], %[[PermS]][%[[I0]]] : memref<2xindex> |
| // CHECK-DAG: memref.store %[[I1]], %[[PermS]][%[[I1]]] : memref<2xindex> |
| // CHECK-DAG: %[[ActionToIter:.*]] = arith.constant 5 : i32 |
| // CHECK-DAG: %[[Iter:.*]] = call @newSparseTensor(%[[AttrsD]], %[[SizesD]], %[[PermD]], %{{.*}}, %{{.*}}, %{{.*}}, %[[ActionToIter]], %[[Arg]]) : (memref<?xi8>, memref<?xindex>, memref<?xindex>, i32, i32, i32, i32, !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[IndS:.*]] = memref.alloca() : memref<2xindex> |
| // CHECK-DAG: %[[IndD:.*]] = memref.cast %[[IndS]] : memref<2xindex> to memref<?xindex> |
| // CHECK-DAG: %[[ElemBuffer:.*]] = memref.alloca() : memref<f64> |
| // CHECK-DAG: %[[M:.*]] = memref.alloc(%[[SizeI0]], %[[SizeI1]]) : memref<?x?xf64> |
| // CHECK-DAG: %[[E0:.*]] = arith.constant 0.000000e+00 : f64 |
| // CHECK-DAG: linalg.fill(%[[E0]], %[[M]]) : f64, memref<?x?xf64> |
| // CHECK: scf.while : () -> () { |
| // CHECK: %[[Cond:.*]] = call @getNextF64(%[[Iter]], %[[IndD]], %[[ElemBuffer]]) : (!llvm.ptr<i8>, memref<?xindex>, memref<f64>) -> i1 |
| // CHECK: scf.condition(%[[Cond]]) |
| // CHECK: } do { |
| // CHECK: %[[Iv0:.*]] = memref.load %[[IndS]][%[[I0]]] : memref<2xindex> |
| // CHECK: %[[Iv1:.*]] = memref.load %[[IndS]][%[[I1]]] : memref<2xindex> |
| // CHECK: %[[ElemVal:.*]] = memref.load %[[ElemBuffer]][] : memref<f64> |
| // CHECK: memref.store %[[ElemVal]], %[[M]][%[[Iv0]], %[[Iv1]]] : memref<?x?xf64> |
| // CHECK: scf.yield |
| // CHECK: } |
| // CHECK: %[[T:.*]] = bufferization.to_tensor %[[M]] : memref<?x?xf64> |
| // CHECK: return %[[T]] : tensor<?x?xf64> |
| func @sparse_convert_2d_dyn2(%arg0: tensor<?x?xf64, #SparseMatrix>) -> tensor<?x?xf64> { |
| %0 = sparse_tensor.convert %arg0 : tensor<?x?xf64, #SparseMatrix> to tensor<?x?xf64> |
| return %0 : tensor<?x?xf64> |
| } |
| |
| // CHECK-LABEL: func @sparse_convert_3d( |
| // CHECK-SAME: %[[Arg:.*]]: !llvm.ptr<i8>) -> tensor<2x3x4xf64> |
| // CHECK-DAG: %[[I0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[I1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[I2:.*]] = arith.constant 2 : index |
| // CHECK-DAG: %[[I3:.*]] = arith.constant 3 : index |
| // CHECK-DAG: %[[I4:.*]] = arith.constant 4 : index |
| // CHECK-DAG: %[[AttrsS:.*]] = memref.alloca() : memref<3xi8> |
| // CHECK-DAG: %[[AttrsD:.*]] = memref.cast %[[AttrsS]] : memref<3xi8> to memref<?xi8> |
| // CHECK-DAG: %[[Attr0:.*]] = arith.constant 0 : i8 |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I0]]] : memref<3xi8> |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I1]]] : memref<3xi8> |
| // CHECK-DAG: memref.store %[[Attr0]], %[[AttrsS]][%[[I2]]] : memref<3xi8> |
| // CHECK-DAG: %[[SizesS:.*]] = memref.alloca() : memref<3xindex> |
| // CHECK-DAG: %[[SizesD:.*]] = memref.cast %[[SizesS]] : memref<3xindex> to memref<?xindex> |
| // CHECK-DAG: memref.store %[[I2]], %[[SizesS]][%[[I0]]] : memref<3xindex> |
| // CHECK-DAG: memref.store %[[I3]], %[[SizesS]][%[[I1]]] : memref<3xindex> |
| // CHECK-DAG: memref.store %[[I4]], %[[SizesS]][%[[I2]]] : memref<3xindex> |
| // CHECK-DAG: %[[PermS:.*]] = memref.alloca() : memref<3xindex> |
| // CHECK-DAG: %[[PermD:.*]] = memref.cast %[[PermS]] : memref<3xindex> to memref<?xindex> |
| // CHECK-DAG: memref.store %[[I0]], %[[PermS]][%[[I0]]] : memref<3xindex> |
| // CHECK-DAG: memref.store %[[I1]], %[[PermS]][%[[I1]]] : memref<3xindex> |
| // CHECK-DAG: memref.store %[[I2]], %[[PermS]][%[[I2]]] : memref<3xindex> |
| // CHECK-DAG: %[[ActionToIter:.*]] = arith.constant 5 : i32 |
| // CHECK-DAG: %[[Iter:.*]] = call @newSparseTensor(%[[AttrsD]], %[[SizesD]], %[[PermD]], %{{.*}}, %{{.*}}, %{{.*}}, %[[ActionToIter]], %[[Arg]]) : (memref<?xi8>, memref<?xindex>, memref<?xindex>, i32, i32, i32, i32, !llvm.ptr<i8>) -> !llvm.ptr<i8> |
| // CHECK-DAG: %[[IndS:.*]] = memref.alloca() : memref<3xindex> |
| // CHECK-DAG: %[[IndD:.*]] = memref.cast %[[IndS]] : memref<3xindex> to memref<?xindex> |
| // CHECK-DAG: %[[ElemBuffer:.*]] = memref.alloca() : memref<f64> |
| // CHECK-DAG: %[[M:.*]] = memref.alloc() : memref<2x3x4xf64> |
| // CHECK-DAG: %[[E0:.*]] = arith.constant 0.000000e+00 : f64 |
| // CHECK-DAG: linalg.fill(%[[E0]], %[[M]]) : f64, memref<2x3x4xf64> |
| // CHECK: scf.while : () -> () { |
| // CHECK: %[[Cond:.*]] = call @getNextF64(%[[Iter]], %[[IndD]], %[[ElemBuffer]]) : (!llvm.ptr<i8>, memref<?xindex>, memref<f64>) -> i1 |
| // CHECK: scf.condition(%[[Cond]]) |
| // CHECK: } do { |
| // CHECK: %[[Iv0:.*]] = memref.load %[[IndS]][%[[I0]]] : memref<3xindex> |
| // CHECK: %[[Iv1:.*]] = memref.load %[[IndS]][%[[I1]]] : memref<3xindex> |
| // CHECK: %[[Iv2:.*]] = memref.load %[[IndS]][%[[I2]]] : memref<3xindex> |
| // CHECK: %[[ElemVal:.*]] = memref.load %[[ElemBuffer]][] : memref<f64> |
| // CHECK: memref.store %[[ElemVal]], %[[M]][%[[Iv0]], %[[Iv1]], %[[Iv2]]] : memref<2x3x4xf64> |
| // CHECK: scf.yield |
| // CHECK: } |
| // CHECK: %[[T:.*]] = bufferization.to_tensor %[[M]] : memref<2x3x4xf64> |
| // CHECK: return %[[T]] : tensor<2x3x4xf64> |
| func @sparse_convert_3d(%arg0: tensor<2x3x4xf64, #SparseTensor>) -> tensor<2x3x4xf64> { |
| %0 = sparse_tensor.convert %arg0 : tensor<2x3x4xf64, #SparseTensor> to tensor<2x3x4xf64> |
| return %0 : tensor<2x3x4xf64> |
| } |
