-
Notifications
You must be signed in to change notification settings - Fork 10.8k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[mlir][sparse] Finish migrating integration tests to use sparse_tensor.print #84997
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
yinying-lisa-li
requested review from
aartbik,
PeimingLiu and
matthias-springer
as code owners
March 12, 2024 23:57
@llvm/pr-subscribers-mlir @llvm/pr-subscribers-mlir-sparse Author: Yinying Li (yinying-lisa-li) ChangesPatch is 82.99 KiB, truncated to 20.00 KiB below, full version: https://github.com/llvm/llvm-project/pull/84997.diff 19 Files Affected:
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir
index f13c1c66df6dce..8024c128189597 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir
@@ -10,7 +10,7 @@
// 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_opts} = -e entry -entry-point-result=void
+// 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}
//
@@ -46,28 +46,10 @@
// Integration test that tests conversions between sparse tensors.
//
module {
- //
- // Output utilities.
- //
- func.func @dumpf64(%arg0: memref<?xf64>) {
- %c0 = arith.constant 0 : index
- %d0 = arith.constant -1.0 : f64
- %0 = vector.transfer_read %arg0[%c0], %d0: memref<?xf64>, vector<24xf64>
- vector.print %0 : vector<24xf64>
- return
- }
- func.func @dumpidx(%arg0: memref<?xindex>) {
- %c0 = arith.constant 0 : index
- %d0 = arith.constant 0 : index
- %0 = vector.transfer_read %arg0[%c0], %d0: memref<?xindex>, vector<25xindex>
- vector.print %0 : vector<25xindex>
- return
- }
-
//
// Main driver.
//
- func.func @entry() {
+ func.func @main() {
%c0 = arith.constant 0 : index
%c1 = arith.constant 1 : index
%c2 = arith.constant 2 : index
@@ -110,195 +92,176 @@ module {
%i = sparse_tensor.convert %3 : tensor<2x3x4xf64, #Tensor3> to tensor<2x3x4xf64, #Tensor3>
//
- // Check number_of_entries.
+ // Verify the outputs.
//
- // CHECK-COUNT-12: 24
- %nv1 = sparse_tensor.number_of_entries %1 : tensor<2x3x4xf64, #Tensor1>
- %nv2 = sparse_tensor.number_of_entries %2 : tensor<2x3x4xf64, #Tensor2>
- %nv3 = sparse_tensor.number_of_entries %3 : tensor<2x3x4xf64, #Tensor3>
- %nav = sparse_tensor.number_of_entries %a : tensor<2x3x4xf64, #Tensor1>
- %nbv = sparse_tensor.number_of_entries %b : tensor<2x3x4xf64, #Tensor1>
- %ncv = sparse_tensor.number_of_entries %c : tensor<2x3x4xf64, #Tensor1>
- %ndv = sparse_tensor.number_of_entries %d : tensor<2x3x4xf64, #Tensor2>
- %nev = sparse_tensor.number_of_entries %e : tensor<2x3x4xf64, #Tensor2>
- %nfv = sparse_tensor.number_of_entries %f : tensor<2x3x4xf64, #Tensor2>
- %ngv = sparse_tensor.number_of_entries %g : tensor<2x3x4xf64, #Tensor3>
- %nhv = sparse_tensor.number_of_entries %h : tensor<2x3x4xf64, #Tensor3>
- %niv = sparse_tensor.number_of_entries %i : tensor<2x3x4xf64, #Tensor3>
- vector.print %nv1 : index
- vector.print %nv2 : index
- vector.print %nv3 : index
- vector.print %nav : index
- vector.print %nbv : index
- vector.print %ncv : index
- vector.print %ndv : index
- vector.print %nev : index
- vector.print %nfv : index
- vector.print %ngv : index
- vector.print %nhv : index
- vector.print %niv : index
-
+ // CHECK: ---- Sparse Tensor ----
+ // CHECK-NEXT: nse = 24
+ // CHECK-NEXT: dim = ( 2, 3, 4 )
+ // CHECK-NEXT: lvl = ( 2, 3, 4 )
+ // CHECK-NEXT: pos[0] : ( 0, 2
+ // CHECK-NEXT: crd[0] : ( 0, 1
+ // CHECK-NEXT: pos[1] : ( 0, 3, 6
+ // CHECK-NEXT: crd[1] : ( 0, 1, 2, 0, 1, 2
+ // CHECK-NEXT: pos[2] : ( 0, 4, 8, 12, 16, 20, 24
+ // CHECK-NEXT: crd[2] : ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3
+ // CHECK-NEXT: values : ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
+ // CHECK-NEXT: ----
//
- // Check values.
+ // CHECK: ---- Sparse Tensor ----
+ // CHECK-NEXT: nse = 24
+ // CHECK-NEXT: dim = ( 2, 3, 4 )
+ // CHECK-NEXT: lvl = ( 3, 4, 2 )
+ // CHECK-NEXT: pos[0] : ( 0, 3
+ // CHECK-NEXT: crd[0] : ( 0, 1, 2
+ // CHECK-NEXT: pos[1] : ( 0, 4, 8, 12
+ // CHECK-NEXT: crd[1] : ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3
+ // CHECK-NEXT: pos[2] : ( 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24
+ // CHECK-NEXT: crd[2] : ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1
+ // CHECK-NEXT: values : ( 1, 13, 2, 14, 3, 15, 4, 16, 5, 17, 6, 18, 7, 19, 8, 20, 9, 21, 10, 22, 11, 23, 12, 24
+ // CHECK-NEXT: ----
//
- // CHECK: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 )
- // CHECK-NEXT: ( 1, 13, 2, 14, 3, 15, 4, 16, 5, 17, 6, 18, 7, 19, 8, 20, 9, 21, 10, 22, 11, 23, 12, 24 )
- // CHECK-NEXT: ( 1, 5, 9, 13, 17, 21, 2, 6, 10, 14, 18, 22, 3, 7, 11, 15, 19, 23, 4, 8, 12, 16, 20, 24 )
- // CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 )
- // CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 )
- // CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 )
- // CHECK-NEXT: ( 1, 13, 2, 14, 3, 15, 4, 16, 5, 17, 6, 18, 7, 19, 8, 20, 9, 21, 10, 22, 11, 23, 12, 24 )
- // CHECK-NEXT: ( 1, 13, 2, 14, 3, 15, 4, 16, 5, 17, 6, 18, 7, 19, 8, 20, 9, 21, 10, 22, 11, 23, 12, 24 )
- // CHECK-NEXT: ( 1, 13, 2, 14, 3, 15, 4, 16, 5, 17, 6, 18, 7, 19, 8, 20, 9, 21, 10, 22, 11, 23, 12, 24 )
- // CHECK-NEXT: ( 1, 5, 9, 13, 17, 21, 2, 6, 10, 14, 18, 22, 3, 7, 11, 15, 19, 23, 4, 8, 12, 16, 20, 24 )
- // CHECK-NEXT: ( 1, 5, 9, 13, 17, 21, 2, 6, 10, 14, 18, 22, 3, 7, 11, 15, 19, 23, 4, 8, 12, 16, 20, 24 )
- // CHECK-NEXT: ( 1, 5, 9, 13, 17, 21, 2, 6, 10, 14, 18, 22, 3, 7, 11, 15, 19, 23, 4, 8, 12, 16, 20, 24 )
+ // CHECK: ---- Sparse Tensor ----
+ // CHECK-NEXT: nse = 24
+ // CHECK-NEXT: dim = ( 2, 3, 4 )
+ // CHECK-NEXT: lvl = ( 4, 2, 3 )
+ // CHECK-NEXT: pos[0] : ( 0, 4
+ // CHECK-NEXT: crd[0] : ( 0, 1, 2, 3
+ // CHECK-NEXT: pos[1] : ( 0, 2, 4, 6, 8
+ // CHECK-NEXT: crd[1] : ( 0, 1, 0, 1, 0, 1, 0, 1
+ // CHECK-NEXT: pos[2] : ( 0, 3, 6, 9, 12, 15, 18, 21, 24
+ // CHECK-NEXT: crd[2] : ( 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2
+ // CHECK-NEXT: values : ( 1, 5, 9, 13, 17, 21, 2, 6, 10, 14, 18, 22, 3, 7, 11, 15, 19, 23, 4, 8, 12, 16, 20, 24
+ // CHECK-NEXT: ----
//
- %v1 = sparse_tensor.values %1 : tensor<2x3x4xf64, #Tensor1> to memref<?xf64>
- %v2 = sparse_tensor.values %2 : tensor<2x3x4xf64, #Tensor2> to memref<?xf64>
- %v3 = sparse_tensor.values %3 : tensor<2x3x4xf64, #Tensor3> to memref<?xf64>
- %av = sparse_tensor.values %a : tensor<2x3x4xf64, #Tensor1> to memref<?xf64>
- %bv = sparse_tensor.values %b : tensor<2x3x4xf64, #Tensor1> to memref<?xf64>
- %cv = sparse_tensor.values %c : tensor<2x3x4xf64, #Tensor1> to memref<?xf64>
- %dv = sparse_tensor.values %d : tensor<2x3x4xf64, #Tensor2> to memref<?xf64>
- %ev = sparse_tensor.values %e : tensor<2x3x4xf64, #Tensor2> to memref<?xf64>
- %fv = sparse_tensor.values %f : tensor<2x3x4xf64, #Tensor2> to memref<?xf64>
- %gv = sparse_tensor.values %g : tensor<2x3x4xf64, #Tensor3> to memref<?xf64>
- %hv = sparse_tensor.values %h : tensor<2x3x4xf64, #Tensor3> to memref<?xf64>
- %iv = sparse_tensor.values %i : tensor<2x3x4xf64, #Tensor3> to memref<?xf64>
-
- call @dumpf64(%v1) : (memref<?xf64>) -> ()
- call @dumpf64(%v2) : (memref<?xf64>) -> ()
- call @dumpf64(%v3) : (memref<?xf64>) -> ()
- call @dumpf64(%av) : (memref<?xf64>) -> ()
- call @dumpf64(%bv) : (memref<?xf64>) -> ()
- call @dumpf64(%cv) : (memref<?xf64>) -> ()
- call @dumpf64(%dv) : (memref<?xf64>) -> ()
- call @dumpf64(%ev) : (memref<?xf64>) -> ()
- call @dumpf64(%fv) : (memref<?xf64>) -> ()
- call @dumpf64(%gv) : (memref<?xf64>) -> ()
- call @dumpf64(%hv) : (memref<?xf64>) -> ()
- call @dumpf64(%iv) : (memref<?xf64>) -> ()
-
+ // CHECK: ---- Sparse Tensor ----
+ // CHECK-NEXT: nse = 24
+ // CHECK-NEXT: dim = ( 2, 3, 4 )
+ // CHECK-NEXT: lvl = ( 2, 3, 4 )
+ // CHECK-NEXT: pos[0] : ( 0, 2
+ // CHECK-NEXT: crd[0] : ( 0, 1
+ // CHECK-NEXT: pos[1] : ( 0, 3, 6
+ // CHECK-NEXT: crd[1] : ( 0, 1, 2, 0, 1, 2
+ // CHECK-NEXT: pos[2] : ( 0, 4, 8, 12, 16, 20, 24
+ // CHECK-NEXT: crd[2] : ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3
+ // CHECK-NEXT: values : ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
+ // CHECK-NEXT: ----
//
- // Check coordinates.
+ // CHECK: ---- Sparse Tensor ----
+ // CHECK-NEXT: nse = 24
+ // CHECK-NEXT: dim = ( 2, 3, 4 )
+ // CHECK-NEXT: lvl = ( 2, 3, 4 )
+ // CHECK-NEXT: pos[0] : ( 0, 2
+ // CHECK-NEXT: crd[0] : ( 0, 1
+ // CHECK-NEXT: pos[1] : ( 0, 3, 6
+ // CHECK-NEXT: crd[1] : ( 0, 1, 2, 0, 1, 2
+ // CHECK-NEXT: pos[2] : ( 0, 4, 8, 12, 16, 20, 24
+ // CHECK-NEXT: crd[2] : ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3
+ // CHECK-NEXT: values : ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
+ // CHECK-NEXT: ----
//
- // CHECK-NEXT: ( 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0 )
- // CHECK-NEXT: ( 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0 )
- // CHECK-NEXT: ( 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0 )
- // CHECK-NEXT: ( 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
- // CHECK-NEXT: ( 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0 )
+ // CHECK: ---- Sparse Tensor ----
+ // CHECK-NEXT: nse = 24
+ // CHECK-NEXT: dim = ( 2, 3, 4 )
+ // CHECK-NEXT: lvl = ( 2, 3, 4 )
+ // CHECK-NEXT: pos[0] : ( 0, 2
+ // CHECK-NEXT: crd[0] : ( 0, 1
+ // CHECK-NEXT: pos[1] : ( 0, 3, 6
+ // CHECK-NEXT: crd[1] : ( 0, 1, 2, 0, 1, 2
+ // CHECK-NEXT: pos[2] : ( 0, 4, 8, 12, 16, 20, 24
+ // CHECK-NEXT: crd[2] : ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3
+ // CHECK-NEXT: values : ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
+ // CHECK-NEXT: ----
//
- %v10 = sparse_tensor.coordinates %1 { level = 0 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
- %v11 = sparse_tensor.coordinates %1 { level = 1 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
- %v12 = sparse_tensor.coordinates %1 { level = 2 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
- %v20 = sparse_tensor.coordinates %2 { level = 0 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
- %v21 = sparse_tensor.coordinates %2 { level = 1 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
- %v22 = sparse_tensor.coordinates %2 { level = 2 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
- %v30 = sparse_tensor.coordinates %3 { level = 0 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
- %v31 = sparse_tensor.coordinates %3 { level = 1 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
- %v32 = sparse_tensor.coordinates %3 { level = 2 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
-
- %a10 = sparse_tensor.coordinates %a { level = 0 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
- %a11 = sparse_tensor.coordinates %a { level = 1 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
- %a12 = sparse_tensor.coordinates %a { level = 2 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
- %b10 = sparse_tensor.coordinates %b { level = 0 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
- %b11 = sparse_tensor.coordinates %b { level = 1 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
- %b12 = sparse_tensor.coordinates %b { level = 2 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
- %c10 = sparse_tensor.coordinates %c { level = 0 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
- %c11 = sparse_tensor.coordinates %c { level = 1 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
- %c12 = sparse_tensor.coordinates %c { level = 2 : index } : tensor<2x3x4xf64, #Tensor1> to memref<?xindex>
-
- %d20 = sparse_tensor.coordinates %d { level = 0 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
- %d21 = sparse_tensor.coordinates %d { level = 1 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
- %d22 = sparse_tensor.coordinates %d { level = 2 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
- %e20 = sparse_tensor.coordinates %e { level = 0 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
- %e21 = sparse_tensor.coordinates %e { level = 1 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
- %e22 = sparse_tensor.coordinates %e { level = 2 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
- %f20 = sparse_tensor.coordinates %f { level = 0 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
- %f21 = sparse_tensor.coordinates %f { level = 1 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
- %f22 = sparse_tensor.coordinates %f { level = 2 : index } : tensor<2x3x4xf64, #Tensor2> to memref<?xindex>
-
- %g30 = sparse_tensor.coordinates %g { level = 0 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
- %g31 = sparse_tensor.coordinates %g { level = 1 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
- %g32 = sparse_tensor.coordinates %g { level = 2 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
- %h30 = sparse_tensor.coordinates %h { level = 0 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
- %h31 = sparse_tensor.coordinates %h { level = 1 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
- %h32 = sparse_tensor.coordinates %h { level = 2 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
- %i30 = sparse_tensor.coordinates %i { level = 0 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
- %i31 = sparse_tensor.coordinates %i { level = 1 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
- %i32 = sparse_tensor.coordinates %i { level = 2 : index } : tensor<2x3x4xf64, #Tensor3> to memref<?xindex>
-
- call @dumpidx(%v10) : (memref<?xindex>) -> ()
- call @dumpidx(%v11) : (memref<?xindex>) -> ()
- call @dumpidx(%v12) : (memref<?xindex>) -> ()
- call @dumpidx(%v20) : (memref<?xindex>) -> ()
- call @dumpidx(%v21) : (memref<?xindex>) -> ()
- call @dumpidx(%v22) : (memref<?xindex>) -> ()
- call @dumpidx(%v30) : (memref<?xindex>) -> ()
- call @dumpidx(%v31) : (memref<?xindex>) -> ()
- call @dumpidx(%v32) : (memref<?xindex>) -> ()
-
- call @dumpidx(%a10) : (memref<?xindex>) -> ()
- call @dumpidx(%a11) : (memref<?xindex>) -> ()
- call @dumpidx(%a12) : (memref<?xindex>) -> ()
- call @dumpidx(%b10) : (memref<?xindex>) -> ()
- call @dumpidx(%b11) : (memref<?xindex>) -> ()
- call @dumpidx(%b12) : (memref<?xindex>) -> ()
- call @dumpidx(%c10) : (memref<?xindex>) -> ()
- call @dumpidx(%c11) : (memref<?xindex>) -> ()
- call @dumpidx(%c12) : (memref<?xindex>) -> ()
-
- call @dumpidx(%d20) : (memref<?xindex>) -> ()
- call @dumpidx(%d21) : (memref<?xindex>) -> ()
- call @dumpidx(%d22) : (memref<?xindex>) -> ()
- call @dumpidx(%e20) : (memref<?xindex>) -> ()
- call @dumpidx(%e21) : (memref<?xindex>) -> ()
- call @dumpidx(%e22) : (memref<?xindex>) -> ()
- call @dumpidx(%f20) : (memref<?xindex>) -> ()
- call @dumpidx(%f21) : (memref<?xindex>) -> ()
- call @dumpidx(%f22) : (memref<?xindex>) -> ()
-
- call @dumpidx(%g30) : (memref<?xindex>) -> ()
- call @dumpidx(%g31) : (memref<?xindex>) -> ()
- call @dumpidx(%g32) : (memref<?xindex>) -> ()
- call @dumpidx(%h30) : (memref<?xindex>) -> ()
- call @dumpidx(%h31) : (memref<?xindex>) -> ()
- call @dumpidx(%h32) : (memref<?xindex>) -> ()
- call @dumpidx(%i30) : (memref<?xindex>) -> ()
- call @dumpidx(%i31) : (memref<?xindex>) -> ()
- call @dumpidx(%i32) : (memref<?xindex>) -> ()
+ // CHECK: ---- Sparse Tensor ----
+ // CHECK-NEXT: nse = 24
+ // CHECK-NEXT: dim = ( 2, 3, 4 )
+ // CHECK-NEXT: lvl = ( 3, 4, 2 )
+ // CHECK-NEXT: pos[0] : ( 0, 3
+ // CHECK-NEXT: crd[0] : ( 0, 1, 2
+ // CHECK-NEXT: pos[1] : ( 0, 4, 8, 12
+ // CHECK-NEXT: crd[1] : ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3
+ // CHECK-NEXT: pos[2] : ( 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24
+ // CHECK-NEXT: crd[2] : ( 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1
+ // CHECK-NEXT: values : ( 1, 13, 2, 14, 3, 15, 4, 16, 5, 17, 6, 18, 7, 19, 8, 20, 9, 21, 10, 22, 11, 23, 12, 24
+ // CHECK-NEXT: ----
+ //
+ // CHECK: ---- Sparse Tensor ----
+ // CHECK-NEXT: nse = 24
+ // CHECK-NEXT: dim = ( 2, 3, 4 )
+ // CHECK-NEXT: lvl = ( 3, 4, 2 )
+ // CHECK-NEXT: pos[0] : ( 0, 3
+ // CHECK-NEXT: crd[0] : ( 0, 1, 2
+ // CHECK-NEXT: pos[1] : ( 0, 4, 8, 12
+ // CHECK-NEXT: crd[1] : ( 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3
+ // CHECK-NEXT: pos[2] : ( 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24
+ // CHECK-NEXT: crd[2] : ( 0, 1, 0, 1, 0, 1, 0, 1, ...
[truncated]
|
PeimingLiu
approved these changes
Mar 13, 2024
aartbik
approved these changes
Mar 13, 2024
mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index.mlir
Outdated
Show resolved
Hide resolved
yinying-lisa-li
force-pushed
the
migrate4
branch
from
March 13, 2024 00:45
090380f
to
6f9a028
Compare
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.