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// RUN: mlir-opt %s --stage-sparse-ops --lower-sparse-ops-to-foreach --canonicalize --cse | FileCheck %s
#SparseVector = #sparse_tensor.encoding<{
map = (d0) -> (d0 : compressed)
}>
#SparseMatrix = #sparse_tensor.encoding<{
map = (d0, d1) -> (d0 : dense, d1 : compressed)
}>
#SparseTensor = #sparse_tensor.encoding<{
map = (d0, d1, d2) -> (d2 : dense, d0 : compressed, d1 : compressed)
}>
// CHECK-LABEL: func.func @sparse_convert_1d
// CHECK-NOT: sparse_tensor.reorder_coo
// CHECK: bufferization.alloc_tensor
// CHECK: linalg.fill
// CHECK: sparse_tensor.foreach
// CHECK: tensor.insert
func.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.func @sparse_convert_1d_dyn
// CHECK-NOT: sparse_tensor.reorder_coo
// CHECK: bufferization.alloc_tensor
// CHECK: linalg.fill
// CHECK: sparse_tensor.foreach
// CHECK: tensor.insert
func.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.func @sparse_convert_2d
// CHECK-NOT: sparse_tensor.reorder_coo
// CHECK: bufferization.alloc_tensor
// CHECK: linalg.fill
// CHECK: sparse_tensor.foreach
// CHECK: tensor.insert
func.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.func @sparse_convert_2d_dyn
// CHECK-NOT: sparse_tensor.reorder_coo
// CHECK: bufferization.alloc_tensor
// CHECK: linalg.fill
// CHECK: sparse_tensor.foreach
// CHECK: tensor.insert
func.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.func @sparse_convert_2d_dyn1
// CHECK-NOT: sparse_tensor.reorder_coo
// CHECK: bufferization.alloc_tensor
// CHECK: linalg.fill
// CHECK: sparse_tensor.foreach
// CHECK: tensor.insert
func.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.func @sparse_convert_2d_dyn2
// CHECK-NOT: sparse_tensor.reorder_coo
// CHECK: bufferization.alloc_tensor
// CHECK: linalg.fill
// CHECK: sparse_tensor.foreach
// CHECK: tensor.insert
func.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.func @sparse_convert_3d
// CHECK-NOT: sparse_tensor.reorder_coo
// CHECK: bufferization.alloc_tensor
// CHECK: linalg.fill
// CHECK: sparse_tensor.foreach
// CHECK: tensor.insert
func.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>
}
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