//--------------------------------------------------------------------------------------------------
// WHEN CREATING A NEW TEST, PLEASE JUST COPY & PASTE WITHOUT EDITS.
//
// Set-up that's shared across all tests in this directory. In principle, this
// config could be moved to lit.local.cfg. However, there are downstream users that
// do not use these LIT config files. Hence why this is kept inline.
//
// DEFINE: %{sparsifier_opts} = enable-runtime-library=true
// DEFINE: %{sparsifier_opts_sve} = enable-arm-sve=true %{sparsifier_opts}
// DEFINE: %{compile} = mlir-opt %s --sparsifier="%{sparsifier_opts}"
// DEFINE: %{compile_sve} = mlir-opt %s --sparsifier="%{sparsifier_opts_sve}"
// DEFINE: %{run_libs} = -shared-libs=%mlir_c_runner_utils,%mlir_runner_utils
// DEFINE: %{run_libs_sve} = -shared-libs=%native_mlir_runner_utils,%native_mlir_c_runner_utils
// DEFINE: %{run_opts} = -e main -entry-point-result=void
// DEFINE: %{run} = mlir-cpu-runner %{run_opts} %{run_libs}
// DEFINE: %{run_sve} = %mcr_aarch64_cmd --march=aarch64 --mattr="+sve" %{run_opts} %{run_libs_sve}
//
// DEFINE: %{env} =
//--------------------------------------------------------------------------------------------------
// RUN: %{compile} | env %{env} %{run} | FileCheck %s
//
// Do the same run, but now with direct IR generation.
// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false
// RUN: %{compile} | env %{env} %{run} | FileCheck %s
#CSR_hi = #sparse_tensor.encoding<{
map = (i, j) -> ( i : dense, j : loose_compressed)
}>
module {
func.func @main() {
%c0 = arith.constant 0 : index
%f0 = arith.constant 0.0 : f64
%d = arith.constant dense<[[ 1.0, 2.0, 3.0, 4.0 ],
[ 5.0, 6.0, 7.0, 8.0 ],
[ 0.0, 0.0, 5.5, 0.0 ],
[ 9.0, 10.0, 11.0, 12.0 ],
[13.0, 14.0, 15.0, 16.0 ]]> : tensor<5x4xf64>
%s = sparse_tensor.convert %d : tensor<5x4xf64> to tensor<5x4xf64, #CSR_hi>
//
// Note: position for loose_compressed level can vary in the end,
// therefore we loosly check it with {{.*}}.
//
// CHECK: ---- Sparse Tensor ----
// CHECK-NEXT: nse = 17
// CHECK-NEXT: dim = ( 5, 4 )
// CHECK-NEXT: lvl = ( 5, 4 )
// CHECK-NEXT: pos[1] : ( 0, 4, 4, 8, 8, 9, 9, 13, {{.*}} )
// CHECK-NEXT: crd[1] : ( 0, 1, 2, 3, 0, 1, 2, 3, 2, 0, 1, 2, 3, 0, 1, 2, 3 )
// CHECK-NEXT: values : ( 1, 2, 3, 4, 5, 6, 7, 8, 5.5, 9, 10, 11, 12, 13, 14, 15, 16 )
// CHECK-NEXT: ----
//
sparse_tensor.print %s : tensor<5x4xf64, #CSR_hi>
// Release the resources.
bufferization.dealloc_tensor %s: tensor<5x4xf64, #CSR_hi>
return
}
}