llvm-project/mlir/integration_test/Sparse/CPU/matrix-market-example.mlir

101 lines
3.1 KiB
MLIR

// RUN: mlir-opt %s \
// RUN: -convert-scf-to-std -convert-vector-to-scf \
// RUN: -convert-linalg-to-llvm -convert-vector-to-llvm | \
// RUN: MATRIX0="%mlir_integration_test_dir/data/test.mtx" \
// RUN: mlir-cpu-runner \
// RUN: -e entry -entry-point-result=void \
// RUN: -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
// RUN: FileCheck %s
module {
func @openMatrix(!llvm.ptr<i8>, memref<index>, memref<index>, memref<index>) -> ()
func @readMatrixItem(memref<index>, memref<index>, memref<f64>) -> ()
func @closeMatrix() -> ()
func @getMatrix(index) -> (!llvm.ptr<i8>)
func @entry() {
%d0 = constant 0.0 : f64
%c0 = constant 0 : index
%c1 = constant 1 : index
%c5 = constant 5 : index
%m = alloc() : memref<index>
%n = alloc() : memref<index>
%nnz = alloc() : memref<index>
%i = alloc() : memref<index>
%j = alloc() : memref<index>
%d = alloc() : memref<f64>
//
// Read the header of a sparse matrix. This yields the
// size (m x n) and number of nonzero elements (nnz).
//
%file = call @getMatrix(%c0) : (index) -> (!llvm.ptr<i8>)
call @openMatrix(%file, %m, %n, %nnz)
: (!llvm.ptr<i8>, memref<index>,
memref<index>, memref<index>) -> ()
%M = load %m[] : memref<index>
%N = load %n[] : memref<index>
%Z = load %nnz[] : memref<index>
//
// At this point, code should prepare a proper sparse storage
// scheme for an m x n matrix with nnz nonzero elements. For
// simplicity, however, here we simply set up a dense matrix.
//
%a = alloc(%M, %N) : memref<?x?xf64>
scf.for %ii = %c0 to %M step %c1 {
scf.for %jj = %c0 to %N step %c1 {
store %d0, %a[%ii, %jj] : memref<?x?xf64>
}
}
//
// Now we are ready to read in the nonzero elements of the
// sparse matrix and insert these into a sparse storage
// scheme. In this example, we simply insert them in the
// dense matrix.
//
scf.for %k = %c0 to %Z step %c1 {
call @readMatrixItem(%i, %j, %d)
: (memref<index>, memref<index>, memref<f64>) -> ()
%I = load %i[] : memref<index>
%J = load %j[] : memref<index>
%D = load %d[] : memref<f64>
store %D, %a[%I, %J] : memref<?x?xf64>
}
call @closeMatrix() : () -> ()
//
// Verify that the results are as expected.
//
%A = vector.transfer_read %a[%c0, %c0], %d0 : memref<?x?xf64>, vector<5x5xf64>
vector.print %M : index
vector.print %N : index
vector.print %Z : index
vector.print %A : vector<5x5xf64>
//
// CHECK: 5
// CHECK: 5
// CHECK: 9
//
// CHECK: ( ( 1, 0, 0, 1.4, 0 ),
// CHECK-SAME: ( 0, 2, 0, 0, 2.5 ),
// CHECK-SAME: ( 0, 0, 3, 0, 0 ),
// CHECK-SAME: ( 4.1, 0, 0, 4, 0 ),
// CHECK-SAME: ( 0, 5.2, 0, 0, 5 ) )
//
// Free.
//
dealloc %m : memref<index>
dealloc %n : memref<index>
dealloc %nnz : memref<index>
dealloc %i : memref<index>
dealloc %j : memref<index>
dealloc %d : memref<f64>
dealloc %a : memref<?x?xf64>
return
}
}