[mlir][sparse] Migrate tests to use new syntax #66146
Conversation
lvlTypes = [ "compressed" ] to map = (d0) -> (d0 : compressed) lvlTypes = [ "dense" ] to map = (d0) -> (d0 : dense)
| @llvm/pr-subscribers-mlir @llvm/pr-subscribers-mlir-sparse ChangeslvlTypes = [ "compressed" ] to map = (d0) -> (d0 : compressed) lvlTypes = [ "dense" ] to map = (d0) -> (d0 : dense) --Patch is 58.67 KiB, truncated to 20.00 KiB below, full version: https://github.com/llvm/llvm-project/pull/66146.diff 64 Files Affected:
<pre>
diff --git a/mlir/test/Dialect/SparseTensor/codegen.mlir b/mlir/test/Dialect/SparseTensor/codegen.mlir -#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }> #SparseVector = #sparse_tensor.encoding<{
-#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }> // CHECK-LABEL: func.func @sparse_alloc_sparse_vector( -#SparseVector = #sparse_tensor.encoding<{ lvlTypes = ["compressed"] }> // CHECK-LABEL: func @sparse_nop( -#SpVec = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }> // CHECK-LABEL: func.func @main( #SparseVector = #sparse_tensor.encoding<{
#SparseVector64 = #sparse_tensor.encoding<{
#SparseVector32 = #sparse_tensor.encoding<{
#SparseVector = #sparse_tensor.encoding<{
#CSR = #sparse_tensor.encoding<{ #SparseVector = #sparse_tensor.encoding<{
#SparseMatrix = #sparse_tensor.encoding<{ #SparseVector64 = #sparse_tensor.encoding<{
#SparseVector32 = #sparse_tensor.encoding<{
#SparseVector = #sparse_tensor.encoding<{
#SortedCOO2D = #sparse_tensor.encoding<{ #SparseVector64 = #sparse_tensor.encoding<{
#SparseVector32 = #sparse_tensor.encoding<{
-#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}> // CHECK-LABEL: func @sparse_nop_dense2dense_convert( // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"], posWidth=32, crdWidth=32}> func.func @non_static_pack_ret(%values: tensor<6xf64>, %pos: tensor<2xi32>, %coordinates: tensor<6x1xi32>) // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"], posWidth=32, crdWidth=32}> func.func @invalid_pack_type(%values: tensor<6xf64>, %pos: tensor<2xi32>, %coordinates: tensor<6x1xi32>) // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"], posWidth=32, crdWidth=32}> func.func @invalid_unpack_type(%sp: tensor<100xf32, #SparseVector>, %values: tensor<6xf64>, %pos: tensor<2xi32>, %coordinates: tensor<6x1xi32>) { // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"], posWidth=32}> func.func @mismatch_positions_types(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> { // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}> func.func @positions_oob(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> { // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}> func.func @mismatch_indices_types(%arg0: tensor<?xf64, #SparseVector>) -> memref<?xi32> { // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}> func.func @indices_oob(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> { // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}> func.func @indices_buffer_noncoo(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> { // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}> func.func @mismatch_values_types(%arg0: tensor<?xf64, #SparseVector>) -> memref<?xf32> { // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}> func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>) -> index { // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}> func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>) -> i64 { // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}> func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>) -> index { // ----- -#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}> func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#SparseVector>) -> index { // ----- -#C = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}> |
CSR: `lvlTypes = [ "dense", "compressed" ]` to `map = (d0, d1) -> (d0 : dense, d1 : compressed)` CSC: `lvlTypes = [ "dense", "compressed" ], dimToLvl = affine_map<(d0, d1) -> (d1, d0)>` to `map = (d0, d1) -> (d1 : dense, d0 : compressed)` This is an ongoing effort: #66146
**Dense** `lvlTypes = [ "dense", "dense" ]` to `map = (d0, d1) -> (d0 : dense, d1 : dense)` `lvlTypes = [ "dense", "dense" ], dimToLvl = affine_map<(i,j) -> (j,i)>` to `map = (d0, d1) -> (d1 : dense, d0 : dense)` **DCSR** `lvlTypes = [ "compressed", "compressed" ]` to `map = (d0, d1) -> (d0 : compressed, d1 : compressed)` **DCSC** `lvlTypes = [ "compressed", "compressed" ], dimToLvl = affine_map<(i,j) -> (j,i)>` to `map = (d0, d1) -> (d1 : compressed, d0 : compressed)` **Block Row** `lvlTypes = [ "compressed", "dense" ]` to `map = (d0, d1) -> (d0 : compressed, d1 : dense)` **Block Column** `lvlTypes = [ "compressed", "dense" ], dimToLvl = affine_map<(i,j) -> (j,i)>` to `map = (d0, d1) -> (d1 : compressed, d0 : dense)` This is an ongoing effort: #66146, #66309
**COO** `lvlTypes = [ "compressed_nu", "singleton" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton)` `lvlTypes = [ "compressed_nu_no", "singleton_no" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique, nonordered), d1 : singleton(nonordered))` **SortedCOO** `lvlTypes = [ "compressed_nu", "singleton" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton)` **BCOO** `lvlTypes = [ "dense", "compressed_hi_nu", "singleton" ]` to `map = (d0, d1, d2) -> (d0 : dense, d1 : compressed(nonunique, high), d2 : singleton)` **BCSR** `lvlTypes = [ "compressed", "compressed", "dense", "dense" ], dimToLvl = affine_map<(d0, d1) -> (d0 floordiv 2, d1 floordiv 3, d0 mod 2, d1 mod 3)>` to `map = ( i, j ) -> ( i floordiv 2 : compressed, j floordiv 3 : compressed, i mod 2 : dense, j mod 3 : dense )` **Tensor and other supported formats(e.g. CCC, CDC, CCCC)** Currently, ELL and slice are not supported yet in the new syntax and the CHECK tests will be updated once printing is set to output the new syntax. Previous PRs: #66146, #66309, #66443
lvlTypes = [ "compressed" ] to map = (d0) -> (d0 : compressed) lvlTypes = [ "dense" ] to map = (d0) -> (d0 : dense)
CSR: `lvlTypes = [ "dense", "compressed" ]` to `map = (d0, d1) -> (d0 : dense, d1 : compressed)` CSC: `lvlTypes = [ "dense", "compressed" ], dimToLvl = affine_map<(d0, d1) -> (d1, d0)>` to `map = (d0, d1) -> (d1 : dense, d0 : compressed)` This is an ongoing effort: llvm#66146
**Dense** `lvlTypes = [ "dense", "dense" ]` to `map = (d0, d1) -> (d0 : dense, d1 : dense)` `lvlTypes = [ "dense", "dense" ], dimToLvl = affine_map<(i,j) -> (j,i)>` to `map = (d0, d1) -> (d1 : dense, d0 : dense)` **DCSR** `lvlTypes = [ "compressed", "compressed" ]` to `map = (d0, d1) -> (d0 : compressed, d1 : compressed)` **DCSC** `lvlTypes = [ "compressed", "compressed" ], dimToLvl = affine_map<(i,j) -> (j,i)>` to `map = (d0, d1) -> (d1 : compressed, d0 : compressed)` **Block Row** `lvlTypes = [ "compressed", "dense" ]` to `map = (d0, d1) -> (d0 : compressed, d1 : dense)` **Block Column** `lvlTypes = [ "compressed", "dense" ], dimToLvl = affine_map<(i,j) -> (j,i)>` to `map = (d0, d1) -> (d1 : compressed, d0 : dense)` This is an ongoing effort: llvm#66146, llvm#66309
**COO** `lvlTypes = [ "compressed_nu", "singleton" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton)` `lvlTypes = [ "compressed_nu_no", "singleton_no" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique, nonordered), d1 : singleton(nonordered))` **SortedCOO** `lvlTypes = [ "compressed_nu", "singleton" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton)` **BCOO** `lvlTypes = [ "dense", "compressed_hi_nu", "singleton" ]` to `map = (d0, d1, d2) -> (d0 : dense, d1 : compressed(nonunique, high), d2 : singleton)` **BCSR** `lvlTypes = [ "compressed", "compressed", "dense", "dense" ], dimToLvl = affine_map<(d0, d1) -> (d0 floordiv 2, d1 floordiv 3, d0 mod 2, d1 mod 3)>` to `map = ( i, j ) -> ( i floordiv 2 : compressed, j floordiv 3 : compressed, i mod 2 : dense, j mod 3 : dense )` **Tensor and other supported formats(e.g. CCC, CDC, CCCC)** Currently, ELL and slice are not supported yet in the new syntax and the CHECK tests will be updated once printing is set to output the new syntax. Previous PRs: llvm#66146, llvm#66309, llvm#66443
**COO** `lvlTypes = [ "compressed_nu", "singleton" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton)` `lvlTypes = [ "compressed_nu_no", "singleton_no" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique, nonordered), d1 : singleton(nonordered))` **SortedCOO** `lvlTypes = [ "compressed_nu", "singleton" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton)` **BCOO** `lvlTypes = [ "dense", "compressed_hi_nu", "singleton" ]` to `map = (d0, d1, d2) -> (d0 : dense, d1 : compressed(nonunique, high), d2 : singleton)` **BCSR** `lvlTypes = [ "compressed", "compressed", "dense", "dense" ], dimToLvl = affine_map<(d0, d1) -> (d0 floordiv 2, d1 floordiv 3, d0 mod 2, d1 mod 3)>` to `map = ( i, j ) -> ( i floordiv 2 : compressed, j floordiv 3 : compressed, i mod 2 : dense, j mod 3 : dense )` **Tensor and other supported formats(e.g. CCC, CDC, CCCC)** Currently, ELL and slice are not supported yet in the new syntax and the CHECK tests will be updated once printing is set to output the new syntax. Previous PRs: llvm#66146, llvm#66309, llvm#66443
**COO** `lvlTypes = [ "compressed_nu", "singleton" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton)` `lvlTypes = [ "compressed_nu_no", "singleton_no" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique, nonordered), d1 : singleton(nonordered))` **SortedCOO** `lvlTypes = [ "compressed_nu", "singleton" ]` to `map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton)` **BCOO** `lvlTypes = [ "dense", "compressed_hi_nu", "singleton" ]` to `map = (d0, d1, d2) -> (d0 : dense, d1 : compressed(nonunique, high), d2 : singleton)` **BCSR** `lvlTypes = [ "compressed", "compressed", "dense", "dense" ], dimToLvl = affine_map<(d0, d1) -> (d0 floordiv 2, d1 floordiv 3, d0 mod 2, d1 mod 3)>` to `map = ( i, j ) -> ( i floordiv 2 : compressed, j floordiv 3 : compressed, i mod 2 : dense, j mod 3 : dense )` **Tensor and other supported formats(e.g. CCC, CDC, CCCC)** Currently, ELL and slice are not supported yet in the new syntax and the CHECK tests will be updated once printing is set to output the new syntax. Previous PRs: llvm#66146, llvm#66309, llvm#66443
3 participants
lvlTypes = [ "compressed" ] to map = (d0) -> (d0 : compressed)
lvlTypes = [ "dense" ] to map = (d0) -> (d0 : dense)