diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir --- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir +++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir @@ -1,4 +1,10 @@ -// RUN: mlir-opt %s --sparse-compiler | \ +// RUN: mlir-opt %s --sparse-compiler=enable-runtime-library=true | \ +// RUN: mlir-cpu-runner \ +// RUN: -e entry -entry-point-result=void \ +// RUN: -shared-libs=%mlir_lib_dir/libmlir_c_runner_utils%shlibext | \ +// RUN: FileCheck %s + +// RUN: mlir-opt %s --sparse-compiler="enable-runtime-library=false enable-buffer-initialization=true"| \ // RUN: mlir-cpu-runner \ // RUN: -e entry -entry-point-result=void \ // RUN: -shared-libs=%mlir_lib_dir/libmlir_c_runner_utils%shlibext | \ @@ -29,8 +35,8 @@ func.func @dumpf64(%arg0: memref) { %c0 = arith.constant 0 : index %d0 = arith.constant -1.0 : f64 - %0 = vector.transfer_read %arg0[%c0], %d0: memref, vector<25xf64> - vector.print %0 : vector<25xf64> + %0 = vector.transfer_read %arg0[%c0], %d0: memref, vector<24xf64> + vector.print %0 : vector<24xf64> return } func.func @dumpidx(%arg0: memref) { @@ -86,21 +92,50 @@ %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, -1 ) - // 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, -1 ) - // 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, -1 ) - // 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, -1 ) - // 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, -1 ) - // 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, -1 ) - // 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, -1 ) - // 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, -1 ) - // 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, -1 ) - // 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, -1 ) - // 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, -1 ) - // 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, -1 ) + // 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 %v2 = sparse_tensor.values %2 : tensor<2x3x4xf64, #Tensor2> to memref diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_sparse2dense.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_sparse2dense.mlir --- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_sparse2dense.mlir +++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_sparse2dense.mlir @@ -1,8 +1,13 @@ -// RUN: mlir-opt %s --sparse-compiler | \ +// RUN: mlir-opt %s --sparse-compiler=enable-runtime-library=true | \ // RUN: mlir-cpu-runner \ // RUN: -e entry -entry-point-result=void \ -// RUN: -shared-libs=%mlir_lib_dir/libmlir_c_runner_utils%shlibext \ -// RUN: | \ +// RUN: -shared-libs=%mlir_lib_dir/libmlir_c_runner_utils%shlibext | \ +// RUN: FileCheck %s + +// RUN: mlir-opt %s --sparse-compiler="enable-runtime-library=false"| \ +// RUN: mlir-cpu-runner \ +// RUN: -e entry -entry-point-result=void \ +// RUN: -shared-libs=%mlir_lib_dir/libmlir_c_runner_utils%shlibext | \ // RUN: FileCheck %s #Tensor1 = #sparse_tensor.encoding<{ diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reshape.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reshape.mlir --- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reshape.mlir +++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reshape.mlir @@ -1,5 +1,12 @@ -// RUN: mlir-opt %s --sparse-compiler | \ -// RUN: mlir-cpu-runner -e entry -entry-point-result=void \ +// RxUN: mlir-opt %s --sparse-compiler=enable-runtime-library=true | \ +// RxUN: mlir-cpu-runner \ +// RxUN: -e entry -entry-point-result=void \ +// RxUN: -shared-libs=%mlir_lib_dir/libmlir_c_runner_utils%shlibext | \ +// RxUN: FileCheck %s + +// RUN: mlir-opt %s --sparse-compiler=enable-runtime-library=false | \ +// RUN: mlir-cpu-runner \ +// RUN: -e entry -entry-point-result=void \ // RUN: -shared-libs=%mlir_lib_dir/libmlir_c_runner_utils%shlibext | \ // RUN: FileCheck %s @@ -207,16 +214,18 @@ // // CHECK: ( ( 1, 2, 3, 4 ), ( 5, 6, 7, 8 ), ( 9, 10, 11, 12 ) ) // CHECK-NEXT: ( ( 1, 2, 3, 4 ), ( 5, 6, 7, 8 ), ( 9, 10, 11, 12 ) ) - // CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, -1, -1, -1, -1 ) - // CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, -1, -1, -1, -1 ) + // CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ) + // CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ) // CHECK-NEXT: ( ( ( 1.1, 1.2 ), ( 1.3, 1.4 ) ), ( ( 2.1, 2.2 ), ( 2.3, 2.4 ) ), ( ( 3.1, 3.2 ), ( 3.3, 3.4 ) ) ) // CHECK-NEXT: ( ( ( 1.1, 1.2 ), ( 1.3, 1.4 ) ), ( ( 2.1, 2.2 ), ( 2.3, 2.4 ) ), ( ( 3.1, 3.2 ), ( 3.3, 3.4 ) ) ) - // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4, -1, -1, -1, -1 ) - // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4, -1, -1, -1, -1 ) + // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4 ) + // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4 ) // CHECK-NEXT: ( ( ( 1.1, 1.2 ), ( 1.3, 1.4 ) ), ( ( 2.1, 2.2 ), ( 2.3, 2.4 ) ), ( ( 3.1, 3.2 ), ( 3.3, 3.4 ) ) ) // CHECK-NEXT: ( ( ( 1.1, 1.2 ), ( 1.3, 1.4 ) ), ( ( 2.1, 2.2 ), ( 2.3, 2.4 ) ), ( ( 3.1, 3.2 ), ( 3.3, 3.4 ) ) ) - // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4, -1, -1, -1, -1 ) - // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4, -1, -1, -1, -1 ) + // CHECK-NEXT: 12 + // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4 ) + // CHECK-NEXT: 12 + // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4 ) // %m0 = vector.transfer_read %expand0[%c0, %c0], %df: tensor<3x4xf64>, vector<3x4xf64> @@ -224,50 +233,54 @@ %m1 = vector.transfer_read %expand1[%c0, %c0], %df: tensor<3x4xf64>, vector<3x4xf64> vector.print %m1 : vector<3x4xf64> %a2 = sparse_tensor.values %expand2 : tensor<3x4xf64, #SparseMatrix> to memref - %m2 = vector.transfer_read %a2[%c0], %df: memref, vector<16xf64> - vector.print %m2 : vector<16xf64> + %m2 = vector.transfer_read %a2[%c0], %df: memref, vector<12xf64> + vector.print %m2 : vector<12xf64> %a3 = sparse_tensor.values %expand3 : tensor<3x4xf64, #SparseMatrix> to memref - %m3 = vector.transfer_read %a3[%c0], %df: memref, vector<16xf64> - vector.print %m3 : vector<16xf64> + %m3 = vector.transfer_read %a3[%c0], %df: memref, vector<12xf64> + vector.print %m3 : vector<12xf64> %m4 = vector.transfer_read %expand4[%c0, %c0, %c0], %df: tensor<3x2x2xf64>, vector<3x2x2xf64> vector.print %m4 : vector<3x2x2xf64> %m5 = vector.transfer_read %expand5[%c0, %c0, %c0], %df: tensor<3x2x2xf64>, vector<3x2x2xf64> vector.print %m5 : vector<3x2x2xf64> %a6 = sparse_tensor.values %expand6 : tensor<3x2x2xf64, #Sparse3dTensor> to memref - %m6 = vector.transfer_read %a6[%c0], %df: memref, vector<16xf64> - vector.print %m6 : vector<16xf64> + %m6 = vector.transfer_read %a6[%c0], %df: memref, vector<12xf64> + vector.print %m6 : vector<12xf64> %a7 = sparse_tensor.values %expand7 : tensor<3x2x2xf64, #Sparse3dTensor> to memref - %m7 = vector.transfer_read %a7[%c0], %df: memref, vector<16xf64> - vector.print %m7 : vector<16xf64> + %m7 = vector.transfer_read %a7[%c0], %df: memref, vector<12xf64> + vector.print %m7 : vector<12xf64> %m8 = vector.transfer_read %expand8[%c0, %c0, %c0], %df: tensor, vector<3x2x2xf64> vector.print %m8 : vector<3x2x2xf64> %m9 = vector.transfer_read %expand9[%c0, %c0, %c0], %df: tensor, vector<3x2x2xf64> vector.print %m9 : vector<3x2x2xf64> + %n10 = sparse_tensor.number_of_entries %expand10 : tensor + vector.print %n10 : index %a10 = sparse_tensor.values %expand10 : tensor to memref - %m10 = vector.transfer_read %a10[%c0], %df: memref, vector<16xf64> - vector.print %m10 : vector<16xf64> + %m10 = vector.transfer_read %a10[%c0], %df: memref, vector<12xf64> + vector.print %m10 : vector<12xf64> + %n11 = sparse_tensor.number_of_entries %expand11 : tensor + vector.print %n11 : index %a11 = sparse_tensor.values %expand11 : tensor to memref - %m11 = vector.transfer_read %a11[%c0], %df: memref, vector<16xf64> - vector.print %m11 : vector<16xf64> + %m11 = vector.transfer_read %a11[%c0], %df: memref, vector<12xf64> + vector.print %m11 : vector<12xf64> - // + // // Verify results of collapse - // + // + // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4 ) + // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4 ) // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4 ) // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4 ) - // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4, -1, -1, -1, -1 ) - // CHECK-NEXT: ( 1.1, 1.2, 1.3, 1.4, 2.1, 2.2, 2.3, 2.4, 3.1, 3.2, 3.3, 3.4, -1, -1, -1, -1 ) // 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, 25, 26, 27, 28, 29, 30 ), ( 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ), ( 41, 42, 43, 44, 45, 26, 47, 48, 49, 50 ), ( 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ) ) // 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, 25, 26, 27, 28, 29, 30 ), ( 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ), ( 41, 42, 43, 44, 45, 26, 47, 48, 49, 50 ), ( 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ) ) - // 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, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 26, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, -1, -1, -1, -1 ) - // 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, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 26, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, -1, -1, -1, -1 ) + // 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, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 26, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ) + // 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, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 26, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ) // 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, 25, 26, 27, 28, 29, 30 ), ( 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ), ( 41, 42, 43, 44, 45, 26, 47, 48, 49, 50 ), ( 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ) ) // 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, 25, 26, 27, 28, 29, 30 ), ( 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ), ( 41, 42, 43, 44, 45, 26, 47, 48, 49, 50 ), ( 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ) ) - // 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, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 26, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, -1, -1, -1, -1 ) - // 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, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 26, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, -1, -1, -1, -1 ) + // 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, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 26, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ) + // 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, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 26, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ) // %v0 = vector.transfer_read %collapse0[%c0], %df: tensor<12xf64>, vector<12xf64> @@ -275,33 +288,33 @@ %v1 = vector.transfer_read %collapse1[%c0], %df: tensor<12xf64>, vector<12xf64> vector.print %v1 : vector<12xf64> %b2 = sparse_tensor.values %collapse2 : tensor<12xf64, #SparseVector> to memref - %v2 = vector.transfer_read %b2[%c0], %df: memref, vector<16xf64> - vector.print %v2 : vector<16xf64> + %v2 = vector.transfer_read %b2[%c0], %df: memref, vector<12xf64> + vector.print %v2 : vector<12xf64> %b3 = sparse_tensor.values %collapse3 : tensor<12xf64, #SparseVector> to memref - %v3 = vector.transfer_read %b3[%c0], %df: memref, vector<16xf64> - vector.print %v3 : vector<16xf64> + %v3 = vector.transfer_read %b3[%c0], %df: memref, vector<12xf64> + vector.print %v3 : vector<12xf64> %v4 = vector.transfer_read %collapse4[%c0, %c0], %df: tensor<6x10xf64>, vector<6x10xf64> vector.print %v4 : vector<6x10xf64> %v5 = vector.transfer_read %collapse5[%c0, %c0], %df: tensor<6x10xf64>, vector<6x10xf64> vector.print %v5 : vector<6x10xf64> %b6 = sparse_tensor.values %collapse6 : tensor<6x10xf64, #SparseMatrix> to memref - %v6 = vector.transfer_read %b6[%c0], %df: memref, vector<64xf64> - vector.print %v6 : vector<64xf64> + %v6 = vector.transfer_read %b6[%c0], %df: memref, vector<60xf64> + vector.print %v6 : vector<60xf64> %b7 = sparse_tensor.values %collapse7 : tensor<6x10xf64, #SparseMatrix> to memref - %v7 = vector.transfer_read %b7[%c0], %df: memref, vector<64xf64> - vector.print %v7 : vector<64xf64> + %v7 = vector.transfer_read %b7[%c0], %df: memref, vector<60xf64> + vector.print %v7 : vector<60xf64> %v8 = vector.transfer_read %collapse8[%c0, %c0], %df: tensor, vector<6x10xf64> vector.print %v8 : vector<6x10xf64> %v9 = vector.transfer_read %collapse9[%c0, %c0], %df: tensor, vector<6x10xf64> vector.print %v9 : vector<6x10xf64> %b10 = sparse_tensor.values %collapse10 : tensor to memref - %v10 = vector.transfer_read %b10[%c0], %df: memref, vector<64xf64> - vector.print %v10 : vector<64xf64> + %v10 = vector.transfer_read %b10[%c0], %df: memref, vector<60xf64> + vector.print %v10 : vector<60xf64> %b11 = sparse_tensor.values %collapse11 : tensor to memref - %v11 = vector.transfer_read %b11[%c0], %df: memref, vector<64xf64> - vector.print %v11 : vector<64xf64> + %v11 = vector.transfer_read %b11[%c0], %df: memref, vector<60xf64> + vector.print %v11 : vector<60xf64> // Release sparse resources.