[Mlir-commits] [mlir] dbe1be9 - [mlir][sparse] Migrate tests to use new syntax (#66146)

[llvmlistbot at llvm.org]

Author: Yinying Li
Date: 2023-09-13T11:41:25-04:00
New Revision: dbe1be9aa4e010f8ed945e19ba93a1f927aade8e

URL: https://github.com/llvm/llvm-project/commit/dbe1be9aa4e010f8ed945e19ba93a1f927aade8e
DIFF: https://github.com/llvm/llvm-project/commit/dbe1be9aa4e010f8ed945e19ba93a1f927aade8e.diff

LOG: [mlir][sparse] Migrate tests to use new syntax (#66146)

lvlTypes = [ "compressed" ] to map = (d0) -> (d0 : compressed)
lvlTypes = [ "dense" ] to map = (d0) -> (d0 : dense)

Added: 
    

Modified: 
    mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorAttrDefs.td
    mlir/test/Dialect/SparseTensor/codegen.mlir
    mlir/test/Dialect/SparseTensor/codegen_buffer_initialization.mlir
    mlir/test/Dialect/SparseTensor/codegen_to_llvm.mlir
    mlir/test/Dialect/SparseTensor/constant_index_map.mlir
    mlir/test/Dialect/SparseTensor/conversion.mlir
    mlir/test/Dialect/SparseTensor/convert_dense2sparse.mlir
    mlir/test/Dialect/SparseTensor/convert_sparse2dense.mlir
    mlir/test/Dialect/SparseTensor/convert_sparse2sparse.mlir
    mlir/test/Dialect/SparseTensor/convert_sparse2sparse_element.mlir
    mlir/test/Dialect/SparseTensor/fold.mlir
    mlir/test/Dialect/SparseTensor/invalid.mlir
    mlir/test/Dialect/SparseTensor/one_shot_bufferize_invalid.mlir
    mlir/test/Dialect/SparseTensor/one_shot_bufferize_tensor_copy_insertion.mlir
    mlir/test/Dialect/SparseTensor/post_rewriting.mlir
    mlir/test/Dialect/SparseTensor/pre_rewriting.mlir
    mlir/test/Dialect/SparseTensor/rejected.mlir
    mlir/test/Dialect/SparseTensor/roundtrip.mlir
    mlir/test/Dialect/SparseTensor/scf_1_N_conversion.mlir
    mlir/test/Dialect/SparseTensor/sparse_1d.mlir
    mlir/test/Dialect/SparseTensor/sparse_3d.mlir
    mlir/test/Dialect/SparseTensor/sparse_affine.mlir
    mlir/test/Dialect/SparseTensor/sparse_expand.mlir
    mlir/test/Dialect/SparseTensor/sparse_fp_ops.mlir
    mlir/test/Dialect/SparseTensor/sparse_fusion.mlir
    mlir/test/Dialect/SparseTensor/sparse_int_ops.mlir
    mlir/test/Dialect/SparseTensor/sparse_kernels.mlir
    mlir/test/Dialect/SparseTensor/sparse_outbuf.mlir
    mlir/test/Dialect/SparseTensor/sparse_reshape.mlir
    mlir/test/Dialect/SparseTensor/sparse_storage.mlir
    mlir/test/Dialect/SparseTensor/sparse_vector.mlir
    mlir/test/Dialect/SparseTensor/sparse_vector_index.mlir
    mlir/test/Dialect/SparseTensor/sparse_vector_ops.mlir
    mlir/test/Dialect/SparseTensor/sparse_vector_peeled.mlir
    mlir/test/Dialect/SparseTensor/unsparsifiable_dense_op.mlir
    mlir/test/Dialect/SparseTensor/vectorize_reduction.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_bf16.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_f16.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_abs.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_cast.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_collapse_shape.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex32.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex64.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex_ops.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_dot.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_expand_shape.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index_dense.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_1d.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_re_im.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_prod.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_sum.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_min.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_prod.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reshape.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_select.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sign.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tanh.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir
    mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_vector_ops.mlir
    mlir/test/python/dialects/sparse_tensor/dialect.py

Removed: 
    


################################################################################
diff  --git a/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorAttrDefs.td b/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorAttrDefs.td
index e2f3df005b70d69..8e2de77e6850a31 100644
--- a/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorAttrDefs.td
+++ b/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorAttrDefs.td
@@ -194,7 +194,7 @@ def SparseTensorEncodingAttr : SparseTensor_Attr<"SparseTensorEncoding",
     ```mlir
     // Sparse vector.
     #SparseVector = #sparse_tensor.encoding<{
-      lvlTypes = [ "compressed" ]
+      map = (d0) -> (d0 : compressed)
     }>
     ... tensor<?xf32, #SparseVector> ...
 

diff  --git a/mlir/test/Dialect/SparseTensor/codegen.mlir b/mlir/test/Dialect/SparseTensor/codegen.mlir
index cf8b1ba87d30357..5155e5ce6c45474 100644
--- a/mlir/test/Dialect/SparseTensor/codegen.mlir
+++ b/mlir/test/Dialect/SparseTensor/codegen.mlir
@@ -1,9 +1,9 @@
 // RUN: mlir-opt %s --sparse-tensor-codegen  --canonicalize -cse | FileCheck %s
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = [ "compressed" ],
+  map = (d0) -> (d0 : compressed),
   crdWidth = 64,
   posWidth = 32
 }>

diff  --git a/mlir/test/Dialect/SparseTensor/codegen_buffer_initialization.mlir b/mlir/test/Dialect/SparseTensor/codegen_buffer_initialization.mlir
index 0a338064eff323e..640d0f56a0f94b3 100644
--- a/mlir/test/Dialect/SparseTensor/codegen_buffer_initialization.mlir
+++ b/mlir/test/Dialect/SparseTensor/codegen_buffer_initialization.mlir
@@ -1,6 +1,6 @@
 // RUN: mlir-opt %s --sparse-tensor-codegen=enable-buffer-initialization=true  --canonicalize --cse | FileCheck %s
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 // CHECK-LABEL:   func.func @sparse_alloc_sparse_vector(
 //  CHECK-SAME:     %[[VAL_0:.*]]: index) -> (memref<?xindex>, memref<?xindex>, memref<?xf64>, !sparse_tensor.storage_specifier

diff  --git a/mlir/test/Dialect/SparseTensor/codegen_to_llvm.mlir b/mlir/test/Dialect/SparseTensor/codegen_to_llvm.mlir
index 99b875980654446..b0f7c62ef283aad 100644
--- a/mlir/test/Dialect/SparseTensor/codegen_to_llvm.mlir
+++ b/mlir/test/Dialect/SparseTensor/codegen_to_llvm.mlir
@@ -1,6 +1,6 @@
 // RUN: mlir-opt %s --sparse-tensor-codegen --sparse-storage-specifier-to-llvm | FileCheck %s
 
-#SparseVector = #sparse_tensor.encoding<{ lvlTypes = ["compressed"] }>
+#SparseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 // CHECK-LABEL: func @sparse_nop(
 //  CHECK-SAME: %[[A0:.*0]]: memref<?xindex>,

diff  --git a/mlir/test/Dialect/SparseTensor/constant_index_map.mlir b/mlir/test/Dialect/SparseTensor/constant_index_map.mlir
index 532b95507d54820..bfb4503edbc4e40 100644
--- a/mlir/test/Dialect/SparseTensor/constant_index_map.mlir
+++ b/mlir/test/Dialect/SparseTensor/constant_index_map.mlir
@@ -5,7 +5,7 @@
 #map1 = affine_map<(d0) -> (0, d0)>
 #map2 = affine_map<(d0) -> (d0)>
 
-#SpVec = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SpVec = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 // CHECK-LABEL:   func.func @main(
 // CHECK-SAME:      %[[VAL_0:.*0]]: tensor<1x77xi1>,

diff  --git a/mlir/test/Dialect/SparseTensor/conversion.mlir b/mlir/test/Dialect/SparseTensor/conversion.mlir
index aa432460173cf7c..ae9e312de7f2747 100644
--- a/mlir/test/Dialect/SparseTensor/conversion.mlir
+++ b/mlir/test/Dialect/SparseTensor/conversion.mlir
@@ -1,17 +1,17 @@
 // RUN: mlir-opt %s --sparse-tensor-conversion --canonicalize --cse | FileCheck %s
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #SparseVector64 = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"],
+  map = (d0) -> (d0 : compressed),
   posWidth = 64,
   crdWidth = 64
 }>
 
 #SparseVector32 = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"],
+  map = (d0) -> (d0 : compressed),
   posWidth = 32,
   crdWidth = 32
 }>

diff  --git a/mlir/test/Dialect/SparseTensor/convert_dense2sparse.mlir b/mlir/test/Dialect/SparseTensor/convert_dense2sparse.mlir
index ac9a613134ed500..f2ac0c22e035ee4 100644
--- a/mlir/test/Dialect/SparseTensor/convert_dense2sparse.mlir
+++ b/mlir/test/Dialect/SparseTensor/convert_dense2sparse.mlir
@@ -3,7 +3,7 @@
 // RUN: --canonicalize --cse | FileCheck %s --check-prefix=CHECK-RWT
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #CSR = #sparse_tensor.encoding<{

diff  --git a/mlir/test/Dialect/SparseTensor/convert_sparse2dense.mlir b/mlir/test/Dialect/SparseTensor/convert_sparse2dense.mlir
index 1adc9f9566da3d7..7328ede697d96a9 100644
--- a/mlir/test/Dialect/SparseTensor/convert_sparse2dense.mlir
+++ b/mlir/test/Dialect/SparseTensor/convert_sparse2dense.mlir
@@ -4,7 +4,7 @@
 // RUN: --canonicalize --cse | FileCheck %s --check-prefix=CHECK-RWT
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #SparseMatrix = #sparse_tensor.encoding<{

diff  --git a/mlir/test/Dialect/SparseTensor/convert_sparse2sparse.mlir b/mlir/test/Dialect/SparseTensor/convert_sparse2sparse.mlir
index a0435bd9b0edcc5..296e1bf9030c624 100644
--- a/mlir/test/Dialect/SparseTensor/convert_sparse2sparse.mlir
+++ b/mlir/test/Dialect/SparseTensor/convert_sparse2sparse.mlir
@@ -10,19 +10,19 @@
 // RUN: --canonicalize --cse | FileCheck %s --check-prefix=CHECK-RWT
 
 #SparseVector64 = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"],
+  map = (d0) -> (d0 : compressed),
   posWidth = 64,
   crdWidth = 64
 }>
 
 #SparseVector32 = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"],
+  map = (d0) -> (d0 : compressed),
   posWidth = 32,
   crdWidth = 32
 }>
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #SortedCOO2D = #sparse_tensor.encoding<{

diff  --git a/mlir/test/Dialect/SparseTensor/convert_sparse2sparse_element.mlir b/mlir/test/Dialect/SparseTensor/convert_sparse2sparse_element.mlir
index 6d20cc01a4eb73f..19a789ea2449a81 100644
--- a/mlir/test/Dialect/SparseTensor/convert_sparse2sparse_element.mlir
+++ b/mlir/test/Dialect/SparseTensor/convert_sparse2sparse_element.mlir
@@ -1,13 +1,13 @@
 // RUN: mlir-opt %s --sparse-tensor-codegen --canonicalize --cse | FileCheck %s
 
 #SparseVector64 = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"],
+  map = (d0) -> (d0 : compressed),
   posWidth = 64,
   crdWidth = 64
 }>
 
 #SparseVector32 = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"],
+  map = (d0) -> (d0 : compressed),
   posWidth = 32,
   crdWidth = 32
 }>

diff  --git a/mlir/test/Dialect/SparseTensor/fold.mlir b/mlir/test/Dialect/SparseTensor/fold.mlir
index 44eb8ac1fb64b07..089431f9e18e907 100644
--- a/mlir/test/Dialect/SparseTensor/fold.mlir
+++ b/mlir/test/Dialect/SparseTensor/fold.mlir
@@ -1,6 +1,6 @@
 // RUN: mlir-opt %s  --canonicalize --cse | FileCheck %s
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_nop_dense2dense_convert(
 //  CHECK-SAME: %[[A:.*]]: tensor<64xf32>)

diff  --git a/mlir/test/Dialect/SparseTensor/invalid.mlir b/mlir/test/Dialect/SparseTensor/invalid.mlir
index 4849a1f25da6c3f..360dfcce2ef2bab 100644
--- a/mlir/test/Dialect/SparseTensor/invalid.mlir
+++ b/mlir/test/Dialect/SparseTensor/invalid.mlir
@@ -8,7 +8,7 @@ func.func @invalid_new_dense(%arg0: !llvm.ptr<i8>) -> tensor<32xf32> {
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"], posWidth=32, crdWidth=32}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed), posWidth=32, crdWidth=32}>
 
 func.func @non_static_pack_ret(%values: tensor<6xf64>, %pos: tensor<2xi32>, %coordinates: tensor<6x1xi32>)
                             -> tensor<?xf64, #SparseVector> {
@@ -20,7 +20,7 @@ func.func @non_static_pack_ret(%values: tensor<6xf64>, %pos: tensor<2xi32>, %coo
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"], posWidth=32, crdWidth=32}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed), posWidth=32, crdWidth=32}>
 
 func.func @invalid_pack_type(%values: tensor<6xf64>, %pos: tensor<2xi32>, %coordinates: tensor<6x1xi32>)
                             -> tensor<100xf32, #SparseVector> {
@@ -56,7 +56,7 @@ func.func @invalid_pack_mis_position(%values: tensor<6xf64>, %coordinates: tenso
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"], posWidth=32, crdWidth=32}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed), posWidth=32, crdWidth=32}>
 
 func.func @invalid_unpack_type(%sp: tensor<100xf32, #SparseVector>, %values: tensor<6xf64>, %pos: tensor<2xi32>, %coordinates: tensor<6x1xi32>) {
   // expected-error at +1 {{input/output element-types don't match}}
@@ -108,7 +108,7 @@ func.func @invalid_positions_unranked(%arg0: tensor<*xf64>) -> memref<?xindex> {
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"], posWidth=32}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed), posWidth=32}>
 
 func.func @mismatch_positions_types(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
   // expected-error at +1 {{unexpected type for positions}}
@@ -118,7 +118,7 @@ func.func @mismatch_positions_types(%arg0: tensor<128xf64, #SparseVector>) -> me
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 func.func @positions_oob(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
   // expected-error at +1 {{requested level is out of bounds}}
@@ -144,7 +144,7 @@ func.func @invalid_indices_unranked(%arg0: tensor<*xf64>) -> memref<?xindex> {
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 func.func @mismatch_indices_types(%arg0: tensor<?xf64, #SparseVector>) -> memref<?xi32> {
   // expected-error at +1 {{unexpected type for coordinates}}
@@ -154,7 +154,7 @@ func.func @mismatch_indices_types(%arg0: tensor<?xf64, #SparseVector>) -> memref
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 func.func @indices_oob(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
   // expected-error at +1 {{requested level is out of bounds}}
@@ -172,7 +172,7 @@ func.func @invalid_values_dense(%arg0: tensor<1024xf32>) -> memref<?xf32> {
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 func.func @indices_buffer_noncoo(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
   // expected-error at +1 {{expected sparse tensor with a COO region}}
@@ -190,7 +190,7 @@ func.func @indices_buffer_dense(%arg0: tensor<1024xf32>) -> memref<?xindex> {
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 func.func @mismatch_values_types(%arg0: tensor<?xf64, #SparseVector>) -> memref<?xf32> {
   // expected-error at +1 {{unexpected mismatch in element types}}
@@ -226,7 +226,7 @@ func.func @sparse_slice_stride(%arg0: tensor<2x8xf64, #CSR_SLICE>) -> index {
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>) -> index {
   // expected-error at +1 {{redundant level argument for querying value memory size}}
@@ -237,7 +237,7 @@ func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>)
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>) -> i64 {
   // expected-error at +1 {{requested slice data on non-slice tensor}}
@@ -248,7 +248,7 @@ func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>)
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>) -> index {
   // expected-error at +1 {{missing level argument}}
@@ -259,7 +259,7 @@ func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>)
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>) -> index {
   // expected-error at +1 {{requested level is out of bounds}}
@@ -656,7 +656,7 @@ func.func @invalid_concat_dim(%arg0: tensor<2x4xf64, #DC>,
 
 // -----
 
-#C = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#C = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 #DC = #sparse_tensor.encoding<{lvlTypes = ["dense", "compressed"]}>
 #DCC = #sparse_tensor.encoding<{lvlTypes = ["dense", "compressed", "compressed"]}>
 func.func @invalid_concat_rank_mismatch(%arg0: tensor<2xf64, #C>,

diff  --git a/mlir/test/Dialect/SparseTensor/one_shot_bufferize_invalid.mlir b/mlir/test/Dialect/SparseTensor/one_shot_bufferize_invalid.mlir
index 25ecd20c3800351..1540d1876d7f061 100644
--- a/mlir/test/Dialect/SparseTensor/one_shot_bufferize_invalid.mlir
+++ b/mlir/test/Dialect/SparseTensor/one_shot_bufferize_invalid.mlir
@@ -1,7 +1,7 @@
 // RUN: mlir-opt %s -one-shot-bufferize -verify-diagnostics
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 func.func @sparse_tensor_op(%arg0: tensor<64xf32, #SparseVector>) -> tensor<64xf32, #SparseVector> {

diff  --git a/mlir/test/Dialect/SparseTensor/one_shot_bufferize_tensor_copy_insertion.mlir b/mlir/test/Dialect/SparseTensor/one_shot_bufferize_tensor_copy_insertion.mlir
index 93bcfe0d0cefbdc..0ccce5121ce1ae2 100644
--- a/mlir/test/Dialect/SparseTensor/one_shot_bufferize_tensor_copy_insertion.mlir
+++ b/mlir/test/Dialect/SparseTensor/one_shot_bufferize_tensor_copy_insertion.mlir
@@ -41,7 +41,7 @@ func.func @sparse_tensor_convert() -> tensor<20x40xf32> {
   return %2 : tensor<20x40xf32>
 }
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait = {
   indexing_maps = [

diff  --git a/mlir/test/Dialect/SparseTensor/post_rewriting.mlir b/mlir/test/Dialect/SparseTensor/post_rewriting.mlir
index 3a0c57c71fe0c47..ab334496aaad5af 100644
--- a/mlir/test/Dialect/SparseTensor/post_rewriting.mlir
+++ b/mlir/test/Dialect/SparseTensor/post_rewriting.mlir
@@ -1,7 +1,7 @@
 // RUN: mlir-opt %s -post-sparsification-rewrite | FileCheck %s
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #SparseMatrix = #sparse_tensor.encoding<{

diff  --git a/mlir/test/Dialect/SparseTensor/pre_rewriting.mlir b/mlir/test/Dialect/SparseTensor/pre_rewriting.mlir
index de63043ea5cf463..0c5f32b0b55102b 100644
--- a/mlir/test/Dialect/SparseTensor/pre_rewriting.mlir
+++ b/mlir/test/Dialect/SparseTensor/pre_rewriting.mlir
@@ -1,7 +1,7 @@
 // RUN: mlir-opt %s -pre-sparsification-rewrite | FileCheck %s
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #SortedCOO = #sparse_tensor.encoding<{

diff  --git a/mlir/test/Dialect/SparseTensor/rejected.mlir b/mlir/test/Dialect/SparseTensor/rejected.mlir
index 5cc676e54a0a1f5..3e3af15fc1d44c4 100644
--- a/mlir/test/Dialect/SparseTensor/rejected.mlir
+++ b/mlir/test/Dialect/SparseTensor/rejected.mlir
@@ -3,7 +3,7 @@
 
 // The file contains examples that will be rejected by sparse compiler
 // (we expect the linalg.generic unchanged).
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait = {
   indexing_maps = [ 

diff  --git a/mlir/test/Dialect/SparseTensor/roundtrip.mlir b/mlir/test/Dialect/SparseTensor/roundtrip.mlir
index bd4baf57d8ba7c8..cb178e4257b1cea 100644
--- a/mlir/test/Dialect/SparseTensor/roundtrip.mlir
+++ b/mlir/test/Dialect/SparseTensor/roundtrip.mlir
@@ -1,6 +1,6 @@
 // RUN: mlir-opt %s -split-input-file | mlir-opt -split-input-file | FileCheck %s
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_new(
 // CHECK-SAME: %[[A:.*]]: !llvm.ptr<i8>)
@@ -13,7 +13,7 @@ func.func @sparse_new(%arg0: !llvm.ptr<i8>) -> tensor<128xf64, #SparseVector> {
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"], posWidth=32, crdWidth=32}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed), posWidth=32, crdWidth=32}>
 
 // CHECK-LABEL: func @sparse_pack(
 // CHECK-SAME: %[[D:.*]]: tensor<6xf64>,
@@ -30,7 +30,7 @@ func.func @sparse_pack(%data: tensor<6xf64>, %pos: tensor<2xi32>, %index: tensor
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"], crdWidth=32}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed), crdWidth=32}>
 // CHECK-LABEL: func @sparse_unpack(
 //  CHECK-SAME: %[[T:.*]]: tensor<100xf64, #
 //  CHECK-SAME: %[[OD:.*]]: tensor<6xf64>
@@ -51,7 +51,7 @@ func.func @sparse_unpack(%sp : tensor<100xf64, #SparseVector>,
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_dealloc(
 // CHECK-SAME: %[[A:.*]]: tensor<128xf64, #{{.*}}>
@@ -64,7 +64,7 @@ func.func @sparse_dealloc(%arg0: tensor<128xf64, #SparseVector>) {
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_convert_1d_to_sparse(
 // CHECK-SAME: %[[A:.*]]: tensor<64xf32>)
@@ -90,7 +90,7 @@ func.func @sparse_convert_3d_from_sparse(%arg0: tensor<8x8x8xf64, #SparseTensor>
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_positions(
 //  CHECK-SAME: %[[A:.*]]: tensor<128xf64, #{{.*}}>)
@@ -116,7 +116,7 @@ func.func @sparse_indices_buffer(%arg0: tensor<?x?xf64, #COO>) -> memref<?xindex
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_indices(
 //  CHECK-SAME: %[[A:.*]]: tensor<128xf64, #{{.*}}>)
@@ -129,7 +129,7 @@ func.func @sparse_indices(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xind
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_values(
 //  CHECK-SAME: %[[A:.*]]: tensor<128xf64, #{{.*}}>)
@@ -174,7 +174,7 @@ func.func @sparse_slice_stride(%arg0: tensor<2x8xf64, #CSR_SLICE>) -> index {
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_metadata_init(
 //       CHECK: %[[T:.*]] = sparse_tensor.storage_specifier.init : !sparse_tensor.storage_specifier<#{{.*}}>
@@ -186,7 +186,7 @@ func.func @sparse_metadata_init() -> !sparse_tensor.storage_specifier<#SparseVec
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 #SparseVector_Slice = #sparse_tensor.encoding<{
   lvlTypes = ["compressed"],
   dimSlices = [ (?, ?, ?) ]
@@ -205,7 +205,7 @@ func.func @sparse_metadata_init(%src : !sparse_tensor.storage_specifier<#SparseV
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_get_md(
 //  CHECK-SAME: %[[A:.*]]: !sparse_tensor.storage_specifier<#{{.*}}>
@@ -254,7 +254,7 @@ func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>)
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_set_md(
 //  CHECK-SAME: %[[A:.*]]: !sparse_tensor.storage_specifier<#{{.*}}>,
@@ -270,7 +270,7 @@ func.func @sparse_set_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>,
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_noe(
 //  CHECK-SAME: %[[A:.*]]: tensor<128xf64, #{{.*}}>)
@@ -309,7 +309,7 @@ func.func @sparse_load_ins(%arg0: tensor<16x32xf64, #DenseMatrix>) -> tensor<16x
 
 // -----
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 // CHECK-LABEL: func @sparse_insert(
 //  CHECK-SAME: %[[A:.*]]: tensor<128xf64, #sparse_tensor.encoding<{{.*}}>>,

diff  --git a/mlir/test/Dialect/SparseTensor/scf_1_N_conversion.mlir b/mlir/test/Dialect/SparseTensor/scf_1_N_conversion.mlir
index fb29c315bea2516..f5d6a08b7de31eb 100644
--- a/mlir/test/Dialect/SparseTensor/scf_1_N_conversion.mlir
+++ b/mlir/test/Dialect/SparseTensor/scf_1_N_conversion.mlir
@@ -1,6 +1,6 @@
 // RUN: mlir-opt %s -sparse-tensor-codegen -cse | FileCheck %s
 
-#SparseVector = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SparseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 // CHECK-LABEL:   func.func @for(
 // CHECK-SAME:                   %[[VAL_1:.*0]]: memref<?xindex>,

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_1d.mlir b/mlir/test/Dialect/SparseTensor/sparse_1d.mlir
index 8bbb35add261840..94c4513f8b5ec39 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_1d.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_1d.mlir
@@ -1,8 +1,8 @@
 // NOTE: Assertions have been autogenerated by utils/generate-test-checks.py
 // RUN: mlir-opt %s -sparsification | FileCheck %s
 
-#DV = #sparse_tensor.encoding<{ lvlTypes = [ "dense"      ] }>
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#DV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : dense) }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait1 = {
   indexing_maps = [

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_3d.mlir b/mlir/test/Dialect/SparseTensor/sparse_3d.mlir
index b6b4093ac463adc..9019b9984d8f680 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_3d.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_3d.mlir
@@ -1,7 +1,7 @@
 // NOTE: Assertions have been autogenerated by utils/generate-test-checks.py
 // RUN: mlir-opt %s -sparsification | FileCheck %s
 
-#Td = #sparse_tensor.encoding<{ lvlTypes = [ "dense" ] }>
+#Td = #sparse_tensor.encoding<{ map = (d0) -> (d0 : dense) }>
 
 #Tddd = #sparse_tensor.encoding<{ lvlTypes = [ "dense",      "dense",      "dense"      ] }>
 #Tdds = #sparse_tensor.encoding<{ lvlTypes = [ "dense",      "dense",      "compressed" ] }>

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_affine.mlir b/mlir/test/Dialect/SparseTensor/sparse_affine.mlir
index 0d224bea9229d40..3a58c5ea9c17b6e 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_affine.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_affine.mlir
@@ -1,10 +1,10 @@
 // NOTE: Assertions have been autogenerated by utils/generate-test-checks.py
 // RUN: mlir-opt %s -sparsification | FileCheck %s
 
-#SpVec = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SpVec = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 #CSR   = #sparse_tensor.encoding<{ lvlTypes = [ "dense", "compressed" ] }>
 #Row   = #sparse_tensor.encoding<{ lvlTypes = [ "compressed", "dense" ] }>
-#EncDenseVec = #sparse_tensor.encoding<{ lvlTypes = [ "dense" ] }>
+#EncDenseVec = #sparse_tensor.encoding<{ map = (d0) -> (d0 : dense) }>
 
 #trait1 = {
   indexing_maps = [

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_expand.mlir b/mlir/test/Dialect/SparseTensor/sparse_expand.mlir
index d5ba7ecca6c9ad2..98dfb4b88d6d34d 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_expand.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_expand.mlir
@@ -22,7 +22,7 @@
 }>
 
 #SV = #sparse_tensor.encoding<{
-  lvlTypes = [  "compressed" ]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #rowsum = {

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_fp_ops.mlir b/mlir/test/Dialect/SparseTensor/sparse_fp_ops.mlir
index 5cb82cb30cd160b..3e18b0c1b6c1bc6 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_fp_ops.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_fp_ops.mlir
@@ -1,6 +1,6 @@
 // RUN: mlir-opt %s -sparsification | FileCheck %s
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait1 = {
   indexing_maps = [

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_fusion.mlir b/mlir/test/Dialect/SparseTensor/sparse_fusion.mlir
index 49af2b85f2fa693..8780baac199e16b 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_fusion.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_fusion.mlir
@@ -1,6 +1,6 @@
 // RUN: mlir-opt %s --linalg-fuse-elementwise-ops | FileCheck %s
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = ["compressed"] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait = {
   indexing_maps = [

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_int_ops.mlir b/mlir/test/Dialect/SparseTensor/sparse_int_ops.mlir
index 1be3a1441cd40ab..0bc396278357656 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_int_ops.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_int_ops.mlir
@@ -1,7 +1,7 @@
 // NOTE: Assertions have been autogenerated by utils/generate-test-checks.py
 // RUN: mlir-opt %s -sparsification | FileCheck %s
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait2 = {
   indexing_maps = [

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_kernels.mlir b/mlir/test/Dialect/SparseTensor/sparse_kernels.mlir
index 1ecdc6ff58137d3..8fd19c53249ec11 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_kernels.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_kernels.mlir
@@ -2,7 +2,7 @@
 // RUN: --linalg-generalize-named-ops --linalg-fuse-elementwise-ops \
 // RUN: --sparsification | FileCheck %s
 
-#SparseVector = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SparseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #DCSR = #sparse_tensor.encoding<{ lvlTypes = [ "compressed", "compressed" ] }>
 

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_outbuf.mlir b/mlir/test/Dialect/SparseTensor/sparse_outbuf.mlir
index afff4ea586de1dc..d6677e0a8ff1565 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_outbuf.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_outbuf.mlir
@@ -1,6 +1,6 @@
 // RUN: mlir-opt %s -sparsification | FileCheck %s
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait = {
   indexing_maps = [

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_reshape.mlir b/mlir/test/Dialect/SparseTensor/sparse_reshape.mlir
index 704a2b2bc64c50c..f0e16189a94d097 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_reshape.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_reshape.mlir
@@ -3,7 +3,7 @@
 // RUN: mlir-opt %s --post-sparsification-rewrite="enable-runtime-library=false enable-convert=false" \
 // RUN: --cse --canonicalize  | FileCheck %s --check-prefix=CHECK-RWT
 
-#SparseVector = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SparseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 #SparseMatrix = #sparse_tensor.encoding<{ lvlTypes = [ "compressed", "compressed" ] }>
 
 //

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_storage.mlir b/mlir/test/Dialect/SparseTensor/sparse_storage.mlir
index 0b55ed5160206e7..65ea2d131277980 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_storage.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_storage.mlir
@@ -1,13 +1,13 @@
 // RUN: mlir-opt %s -sparsification= | FileCheck %s
 
 #SparseVector64 = #sparse_tensor.encoding<{
-  lvlTypes = [ "compressed" ],
+  map = (d0) -> (d0 : compressed),
   posWidth = 64,
   crdWidth = 64
 }>
 
 #SparseVector32 = #sparse_tensor.encoding<{
-  lvlTypes = [ "compressed" ],
+  map = (d0) -> (d0 : compressed),
   posWidth = 32,
   crdWidth = 32
 }>

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_vector.mlir b/mlir/test/Dialect/SparseTensor/sparse_vector.mlir
index 4399123ec842a51..a438f9442fe203f 100755
--- a/mlir/test/Dialect/SparseTensor/sparse_vector.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_vector.mlir
@@ -7,7 +7,7 @@
 // RUN: mlir-opt %s -sparsification -cse -sparse-vectorization="vl=4 enable-vla-vectorization=true" -cse -split-input-file | \
 // RUN:   FileCheck %s --check-prefix=CHECK-VEC4-SVE
 
-#DenseVector = #sparse_tensor.encoding<{ lvlTypes = [ "dense" ] }>
+#DenseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : dense) }>
 
 #trait_scale_d = {
   indexing_maps = [
@@ -86,7 +86,7 @@ func.func @scale_d(%arga: tensor<1024xf32, #DenseVector>, %b: f32, %argx: tensor
 // -----
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = [ "compressed" ],
+  map = (d0) -> (d0 : compressed),
   posWidth = 32,
   crdWidth = 32
 }>
@@ -209,7 +209,7 @@ func.func @mul_s(%arga: tensor<1024xf32, #SparseVector>,
 
 // -----
 
-#DenseVector = #sparse_tensor.encoding<{ lvlTypes = [ "dense" ] }>
+#DenseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : dense) }>
 
 #trait_reduction_d = {
   indexing_maps = [

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_vector_index.mlir b/mlir/test/Dialect/SparseTensor/sparse_vector_index.mlir
index 97227fd9e40d79c..7101f294705aa18 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_vector_index.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_vector_index.mlir
@@ -4,7 +4,7 @@
 // NOTE: Assertions have been autogenerated by utils/generate-test-checks.py
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #trait_1d = {

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_vector_ops.mlir b/mlir/test/Dialect/SparseTensor/sparse_vector_ops.mlir
index 1c474735d0af128..8e23f901da7654e 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_vector_ops.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_vector_ops.mlir
@@ -1,7 +1,7 @@
 // RUN: mlir-opt %s -sparsification -cse -sparse-vectorization="vl=8" -cse | \
 // RUN:   FileCheck %s
 
-#DenseVector = #sparse_tensor.encoding<{ lvlTypes = [ "dense" ] }>
+#DenseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : dense) }>
 
 #trait = {
   indexing_maps = [

diff  --git a/mlir/test/Dialect/SparseTensor/sparse_vector_peeled.mlir b/mlir/test/Dialect/SparseTensor/sparse_vector_peeled.mlir
index ac0d035424574ea..db830f29d7ca655 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_vector_peeled.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_vector_peeled.mlir
@@ -2,7 +2,7 @@
 // RUN:   FileCheck %s
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = [ "compressed" ],
+  map = (d0) -> (d0 : compressed),
   posWidth = 32,
   crdWidth = 32
 }>

diff  --git a/mlir/test/Dialect/SparseTensor/unsparsifiable_dense_op.mlir b/mlir/test/Dialect/SparseTensor/unsparsifiable_dense_op.mlir
index 3304d00d96a1d12..2cef1afad2b895d 100644
--- a/mlir/test/Dialect/SparseTensor/unsparsifiable_dense_op.mlir
+++ b/mlir/test/Dialect/SparseTensor/unsparsifiable_dense_op.mlir
@@ -14,7 +14,7 @@
   iterator_types = ["parallel", "parallel", "parallel", "reduction"]
 }
 
-#VEC = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ], posWidth = 32, crdWidth = 32 }>
+#VEC = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed), posWidth = 32, crdWidth = 32 }>
 #COO = #sparse_tensor.encoding<{ lvlTypes = [ "compressed_nu", "singleton" ], posWidth = 32, crdWidth = 32 }>
 #CCC = #sparse_tensor.encoding<{ lvlTypes = [ "compressed", "compressed", "compressed" ], posWidth = 32, crdWidth = 32 }>
 

diff  --git a/mlir/test/Dialect/SparseTensor/vectorize_reduction.mlir b/mlir/test/Dialect/SparseTensor/vectorize_reduction.mlir
index 09bbe410bfc1634..cfa3e2cdea25265 100644
--- a/mlir/test/Dialect/SparseTensor/vectorize_reduction.mlir
+++ b/mlir/test/Dialect/SparseTensor/vectorize_reduction.mlir
@@ -55,7 +55,7 @@
 // CHECK-OFF:           %[[VAL_16:.*]] = bufferization.to_tensor %[[VAL_6]] : memref<i13>
 // CHECK-OFF:           return %[[VAL_16]] : tensor<i13>
 // CHECK-OFF:         }
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait = {
   indexing_maps = [
@@ -132,7 +132,7 @@ func.func @sparse_reduction_ori(%argx: tensor<i13>,
 // CHECK-OFF:           %[[VAL_16:.*]] = bufferization.to_tensor %[[VAL_6]] : memref<i13>
 // CHECK-OFF:           return %[[VAL_16]] : tensor<i13>
 // CHECK-OFF:         }
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait = {
   indexing_maps = [
@@ -207,7 +207,7 @@ func.func @sparse_reduction_ori_accumulator_on_rhs(%argx: tensor<i13>,
 // CHECK-OFF:           %[[VAL_16:.*]] = bufferization.to_tensor %[[VAL_6]] : memref<i32>
 // CHECK-OFF:           return %[[VAL_16]] : tensor<i32>
 // CHECK-OFF:         }
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait = {
   indexing_maps = [
@@ -283,7 +283,7 @@ func.func @sparse_reduction_subi(%argx: tensor<i32>,
 // CHECK-OFF:   return %[[VAL_16]] : tensor<i32>
 // CHECK-OFF: }
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait = {
   indexing_maps = [
@@ -359,7 +359,7 @@ func.func @sparse_reduction_xor(%argx: tensor<i32>,
 // CHECK-OFF:   return %[[VAL_16]] : tensor<i32>
 // CHECK-OFF: }
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait = {
   indexing_maps = [
@@ -435,7 +435,7 @@ func.func @sparse_reduction_addi(%argx: tensor<i32>,
 // CHECK-OFF:   return %[[VAL_16]] : tensor<f32>
 // CHECK-OFF: }
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait = {
   indexing_maps = [
@@ -511,7 +511,7 @@ func.func @sparse_reduction_subf(%argx: tensor<f32>,
 // CHECK-OFF:   return %[[VAL_16]] : tensor<f32>
 // CHECK-OFF: }
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_bf16.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_bf16.mlir
index fe6fcea7cef7cb4..420d3d8c6232744 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_bf16.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_bf16.mlir
@@ -29,8 +29,8 @@
 
 // UNSUPPORTED: target=aarch64{{.*}}
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
-#DenseVector = #sparse_tensor.encoding<{lvlTypes = ["dense"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
+#DenseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : dense)}>
 
 #trait_vec_op = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_f16.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_f16.mlir
index f88b38b467e89f9..96ea972bd6b5f0e 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_f16.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output_f16.mlir
@@ -30,8 +30,8 @@
 // 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 %}
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
-#DenseVector = #sparse_tensor.encoding<{lvlTypes = ["dense"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
+#DenseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : dense)}>
 
 #trait_vec_op = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_abs.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_abs.mlir
index b9e8eec03206038..584906034d2d20e 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_abs.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_abs.mlir
@@ -30,7 +30,7 @@
 // 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 %}
 
-#SparseVector = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SparseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait_op = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir
index bd2b238a643690a..ed34d3f71832e92 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_binary.mlir
@@ -30,7 +30,7 @@
 // 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 %}
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 #DCSR = #sparse_tensor.encoding<{lvlTypes = ["compressed", "compressed"]}>
 
 //

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_cast.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_cast.mlir
index 5cc465ab4d0db05..5290b97b9b4f6f7 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_cast.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_cast.mlir
@@ -30,7 +30,7 @@
 // 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 %}
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait_cast = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_collapse_shape.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_collapse_shape.mlir
index 100025f2189409d..ada14f4696a9237 100755
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_collapse_shape.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_collapse_shape.mlir
@@ -31,7 +31,7 @@
 // RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #SparseMatrix = #sparse_tensor.encoding<{

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex32.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex32.mlir
index 1490c87b64c8b3d..6e67e043043ec64 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex32.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex32.mlir
@@ -30,7 +30,7 @@
 // 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 %}
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait_op = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex64.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex64.mlir
index 17e95146a827154..0f9ce030269d75c 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex64.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex64.mlir
@@ -27,7 +27,7 @@
 // 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 %}
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait_op = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex_ops.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex_ops.mlir
index 96428d44061a7cb..26c0f8c3ec7d010 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex_ops.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_complex_ops.mlir
@@ -30,7 +30,7 @@
 // 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 %}
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait_op1 = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_dot.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_dot.mlir
index 2a0480bfc44cd8f..8c5ad40cd83c668 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_dot.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_dot.mlir
@@ -30,7 +30,7 @@
 // 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 %}
 
-#SparseVector = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SparseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 module {
 

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_expand_shape.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_expand_shape.mlir
index 75d85949a765817..9d47b3ab1a7ec0e 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_expand_shape.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_expand_shape.mlir
@@ -31,7 +31,7 @@
 // RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #SparseMatrix = #sparse_tensor.encoding<{

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index.mlir
index 5d396e01357a9d3..1633194408ec08a 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index.mlir
@@ -32,7 +32,7 @@
 
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #SparseMatrix = #sparse_tensor.encoding<{

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index_dense.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index_dense.mlir
index dc08a2142f49c02..5a030ac93110e00 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index_dense.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index_dense.mlir
@@ -31,7 +31,7 @@
 // RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #SparseMatrix = #sparse_tensor.encoding<{

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_1d.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_1d.mlir
index d8bd5c4a158b9b8..2f42e5f573177e0 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_1d.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_1d.mlir
@@ -32,7 +32,7 @@
 
 // Insertion example using pure codegen (no sparse runtime support lib).
 
-#SparseVector = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SparseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait_mul_s = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_re_im.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_re_im.mlir
index fa6f4c99a9d0ac4..6dd2c4c497a48c4 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_re_im.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_re_im.mlir
@@ -30,7 +30,7 @@
 // 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 %}
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 
 #trait_op = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom.mlir
index 3489dcadfd5432b..1a1351ac6c6a69f 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom.mlir
@@ -32,7 +32,7 @@
 
 // Reduction in this file _are_ supported by the AArch64 SVE backend
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 #CSR = #sparse_tensor.encoding<{lvlTypes = ["dense", "compressed"]}>
 #CSC = #sparse_tensor.encoding<{
   lvlTypes = [ "dense", "compressed" ],

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_prod.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_prod.mlir
index 44a8c83830f4ce4..af30fb1bf8a1da3 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_prod.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_prod.mlir
@@ -31,7 +31,7 @@
 // the AArch64 SVE backend (so the set-up is a bit 
diff erent to
 // sparse_reducitons.mlir)
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 #CSR = #sparse_tensor.encoding<{lvlTypes = ["dense", "compressed"]}>
 #CSC = #sparse_tensor.encoding<{
   lvlTypes = [ "dense", "compressed" ],

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_sum.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_sum.mlir
index 3030eafe215f794..43a6e698ce5d6f9 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_sum.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reduce_custom_sum.mlir
@@ -27,7 +27,7 @@
 // REDEFINE: %{sparse_compiler_opts} = enable-runtime-library=false vl=2 reassociate-fp-reductions=true enable-index-optimizations=true
 // RUN: %{compile} | %{run} | FileCheck %s
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait_reduction = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir
index c32058093713c32..b96aa4db285b466 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir
@@ -32,7 +32,7 @@
 
 // Reduction in this file _are_ supported by the AArch64 SVE backend
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait_reduction = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_min.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_min.mlir
index ab8f88c00a66c90..3fe597100f37aea 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_min.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_min.mlir
@@ -30,7 +30,7 @@
 // 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 %}
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait_reduction = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_prod.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_prod.mlir
index 628bc25aad08ec7..80a7e90a3f8f1ab 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_prod.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_prod.mlir
@@ -27,8 +27,8 @@
 // REDEFINE: %{sparse_compiler_opts} = enable-runtime-library=false enable-buffer-initialization=true vl=2 reassociate-fp-reductions=true enable-index-optimizations=true
 // RUN: %{compile} | %{run} | FileCheck %s
 
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
-#DV = #sparse_tensor.encoding<{ lvlTypes = [ "dense"      ] }>
+#SV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
+#DV = #sparse_tensor.encoding<{ map = (d0) -> (d0 : dense) }>
 
 #trait_reduction = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reshape.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reshape.mlir
index f141d65e6c26b36..64d27dfb91bf8a0 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reshape.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reshape.mlir
@@ -31,7 +31,7 @@
 // RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
 
 #SparseVector = #sparse_tensor.encoding<{
-  lvlTypes = ["compressed"]
+  map = (d0) -> (d0 : compressed)
 }>
 
 #SparseMatrix = #sparse_tensor.encoding<{

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_select.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_select.mlir
index 65eb624966e94ab..11301c43163527a 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_select.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_select.mlir
@@ -30,7 +30,7 @@
 // Do the same run, but now with  VLA vectorization.
 // RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 #CSR = #sparse_tensor.encoding<{lvlTypes = ["dense", "compressed"]}>
 #CSC = #sparse_tensor.encoding<{
   lvlTypes = [ "dense", "compressed" ],

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sign.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sign.mlir
index 1009e50b20c9d6e..327ac8656f405d4 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sign.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sign.mlir
@@ -30,7 +30,7 @@
 // Do the same run, but now with  VLA vectorization.
 // RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
 
-#SparseVector = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SparseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait_op = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tanh.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tanh.mlir
index e0de6dd7200a52f..4b8ef2274c27a6d 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tanh.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tanh.mlir
@@ -33,7 +33,7 @@
 // Current fails for SVE, see https://github.com/llvm/llvm-project/issues/60626
 // UNSUPPORTED: target=aarch64{{.*}}
 
-#SparseVector = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>
+#SparseVector = #sparse_tensor.encoding<{ map = (d0) -> (d0 : compressed) }>
 
 #trait_op = {
   indexing_maps = [

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir
index ddd52ef40c7524d..cf9113f81ef5365 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_unary.mlir
@@ -30,7 +30,7 @@
 // Do the same run, but now with  VLA vectorization.
 // RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
 #DCSR = #sparse_tensor.encoding<{lvlTypes = ["compressed", "compressed"]}>
 
 //

diff  --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_vector_ops.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_vector_ops.mlir
index ac7e9ff8f8756a1..d9e1125a79d856f 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_vector_ops.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_vector_ops.mlir
@@ -30,8 +30,8 @@
 // Do the same run, but now with  VLA vectorization.
 // RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
 
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
-#DenseVector = #sparse_tensor.encoding<{lvlTypes = ["dense"]}>
+#SparseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : compressed)}>
+#DenseVector = #sparse_tensor.encoding<{map = (d0) -> (d0 : dense)}>
 
 //
 // Traits for 1-d tensor (aka vector) operations.

diff  --git a/mlir/test/python/dialects/sparse_tensor/dialect.py b/mlir/test/python/dialects/sparse_tensor/dialect.py
index 8d98d670ee4d049..bd5d9750eb57484 100644
--- a/mlir/test/python/dialects/sparse_tensor/dialect.py
+++ b/mlir/test/python/dialects/sparse_tensor/dialect.py
@@ -16,7 +16,7 @@ def testEncodingAttr1D():
     with Context() as ctx:
         parsed = Attribute.parse(
             "#sparse_tensor.encoding<{"
-            '  lvlTypes = [ "compressed" ],'
+            "  map = (d0) -> (d0 : compressed),"
             "  posWidth = 16,"
             "  crdWidth = 32"
             "}>"
@@ -94,7 +94,7 @@ def testEncodingAttrOnTensorType():
         encoding = st.EncodingAttr(
             Attribute.parse(
                 "#sparse_tensor.encoding<{"
-                '  lvlTypes = [ "compressed" ], '
+                "  map = (d0) -> (d0 : compressed), "
                 "  posWidth = 64,"
                 "  crdWidth = 32"
                 "}>"