[Mlir-commits] [mlir] [mlir][sparse] support 2:4 structured sparsity and loose compressed (PR #69968)

[Peiming Liu]

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@@ -0,0 +1,120 @@
+//--------------------------------------------------------------------------------------------------
+// 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: %{sparse_compiler_opts} = enable-runtime-library=true
+// DEFINE: %{sparse_compiler_opts_sve} = enable-arm-sve=true %{sparse_compiler_opts}
+// DEFINE: %{compile} = mlir-opt %s --sparse-compiler="%{sparse_compiler_opts}"
+// DEFINE: %{compile_sve} = mlir-opt %s --sparse-compiler="%{sparse_compiler_opts_sve}"
+// DEFINE: %{run_libs} = -shared-libs=%mlir_c_runner_utils,%mlir_runner_utils
+// DEFINE: %{run_opts} = -e entry -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}
+//
+// DEFINE: %{env} =
+//--------------------------------------------------------------------------------------------------
+
+// REDEFINE: %{env} = TENSOR0="%mlir_src_dir/test/Integration/data/ds.mtx"
+// RUN: %{compile} | env %{env} %{run} | FileCheck %s
+//
+// TODO: enable!
+// Do the same run, but now with direct IR generation.
+// REDEFINE: %{sparse_compiler_opts} = enable-runtime-library=false
+// R_UN: %{compile} | env %{env} %{run} | FileCheck %s
+
+!Filename = !llvm.ptr<i8>
+
+#CSR = #sparse_tensor.encoding<{
+  map = (i, j) -> ( i : dense, j : compressed)
+}>
+
+#CSR_hi = #sparse_tensor.encoding<{
+  map = (i, j) -> ( i : dense, j : loose_compressed)
+}>
+
+#NV_24 = #sparse_tensor.encoding<{
+  map = ( i, j ) -> ( i            : dense,
+                      j floordiv 4 : dense,
+                      j mod 4      : block2_4),
+  crdWidth = 8
+}>
+
+module {
+
+  func.func private @getTensorFilename(index) -> (!Filename)
+
+  //
+  // Input matrix:
+  //
+  //  [[0.0,  0.0,  1.0,  2.0,  0.0,  3.0,  0.0,  4.0],
+  //   [0.0,  5.0,  6.0,  0.0,  7.0,  0.0,  0.0,  8.0],
+  //   [9.0,  0.0, 10.0,  0.0, 11.0, 12.0,  0.0,  0.0]]
+  //
+  func.func @entry() {
----------------
PeimingLiu wrote:

Maybe you can try using `sparse_tensor.convert`, it should probably work.

https://github.com/llvm/llvm-project/pull/69968