| //-------------------------------------------------------------------------------------------------- |
| // 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_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} = |
| //-------------------------------------------------------------------------------------------------- |
| |
| // RUN: %{compile} | %{run} | FileCheck %s |
| // |
| // Do the same run, but now with direct IR generation. |
| // REDEFINE: %{sparsifier_opts} = enable-runtime-library=false enable-buffer-initialization=true |
| // RUN: %{compile} | %{run} | FileCheck %s |
| // |
| // Do the same run, but now with direct IR generation and vectorization. |
| // REDEFINE: %{sparsifier_opts} = enable-runtime-library=false enable-buffer-initialization=true vl=2 reassociate-fp-reductions=true enable-index-optimizations=true |
| // RUN: %{compile} | %{run} | FileCheck %s |
| // |
| // Do the same run, but now with direct IR generation and VLA vectorization. |
| // RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %} |
| |
| #Tensor1 = #sparse_tensor.encoding<{ |
| map = (d0, d1, d2) -> (d0 : compressed, d1 : compressed, d2 : compressed) |
| }> |
| |
| #Tensor2 = #sparse_tensor.encoding<{ |
| map = (d0, d1, d2) -> (d1 : compressed, d2 : compressed, d0 : compressed) |
| }> |
| |
| #Tensor3 = #sparse_tensor.encoding<{ |
| map = (d0, d1, d2) -> (d2 : compressed, d0 : compressed, d1 : compressed) |
| }> |
| |
| // |
| // 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() { |
| %c0 = arith.constant 0 : index |
| %c1 = arith.constant 1 : index |
| %c2 = arith.constant 2 : index |
| |
| // |
| // Initialize a 3-dim dense tensor. |
| // |
| %t = arith.constant dense<[ |
| [ [ 1.0, 2.0, 3.0, 4.0 ], |
| [ 5.0, 6.0, 7.0, 8.0 ], |
| [ 9.0, 10.0, 11.0, 12.0 ] ], |
| [ [ 13.0, 14.0, 15.0, 16.0 ], |
| [ 17.0, 18.0, 19.0, 20.0 ], |
| [ 21.0, 22.0, 23.0, 24.0 ] ] |
| ]> : tensor<2x3x4xf64> |
| |
| // |
| // Convert dense tensor directly to various sparse tensors. |
| // tensor1: stored as 2x3x4 |
| // tensor2: stored as 3x4x2 |
| // tensor3: stored as 4x2x3 |
| // |
| %1 = sparse_tensor.convert %t : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor1> |
| %2 = sparse_tensor.convert %t : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor2> |
| %3 = sparse_tensor.convert %t : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor3> |
| |
| // |
| // Convert sparse tensor to various sparse tensors. Note that the result |
| // should always correspond to the direct conversion, since the sparse |
| // tensor formats have the ability to restore into the original ordering. |
| // |
| %a = sparse_tensor.convert %1 : tensor<2x3x4xf64, #Tensor1> to tensor<2x3x4xf64, #Tensor1> |
| %b = sparse_tensor.convert %2 : tensor<2x3x4xf64, #Tensor2> to tensor<2x3x4xf64, #Tensor1> |
| %c = sparse_tensor.convert %3 : tensor<2x3x4xf64, #Tensor3> to tensor<2x3x4xf64, #Tensor1> |
| %d = sparse_tensor.convert %1 : tensor<2x3x4xf64, #Tensor1> to tensor<2x3x4xf64, #Tensor2> |
| %e = sparse_tensor.convert %2 : tensor<2x3x4xf64, #Tensor2> to tensor<2x3x4xf64, #Tensor2> |
| %f = sparse_tensor.convert %3 : tensor<2x3x4xf64, #Tensor3> to tensor<2x3x4xf64, #Tensor2> |
| %g = sparse_tensor.convert %1 : tensor<2x3x4xf64, #Tensor1> to tensor<2x3x4xf64, #Tensor3> |
| %h = sparse_tensor.convert %2 : tensor<2x3x4xf64, #Tensor2> to tensor<2x3x4xf64, #Tensor3> |
| %i = sparse_tensor.convert %3 : tensor<2x3x4xf64, #Tensor3> to tensor<2x3x4xf64, #Tensor3> |
| |
| // |
| // Check number_of_entries. |
| // |
| // 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 values. |
| // |
| // 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 ) |
| // |
| %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 coordinates. |
| // |
| // 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 ) |
| // |
| %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>) -> () |
| |
| // Release the resources. |
| bufferization.dealloc_tensor %1 : tensor<2x3x4xf64, #Tensor1> |
| bufferization.dealloc_tensor %2 : tensor<2x3x4xf64, #Tensor2> |
| bufferization.dealloc_tensor %3 : tensor<2x3x4xf64, #Tensor3> |
| bufferization.dealloc_tensor %b : tensor<2x3x4xf64, #Tensor1> |
| bufferization.dealloc_tensor %c : tensor<2x3x4xf64, #Tensor1> |
| bufferization.dealloc_tensor %d : tensor<2x3x4xf64, #Tensor2> |
| bufferization.dealloc_tensor %f : tensor<2x3x4xf64, #Tensor2> |
| bufferization.dealloc_tensor %g : tensor<2x3x4xf64, #Tensor3> |
| bufferization.dealloc_tensor %h : tensor<2x3x4xf64, #Tensor3> |
| |
| return |
| } |
| } |
