e2e429d994
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
41 lines
2.5 KiB
MLIR
41 lines
2.5 KiB
MLIR
// RUN: mlir-opt %s -sparse-storage-specifier-to-llvm --cse --canonicalize | FileCheck %s
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#CSR = #sparse_tensor.encoding<{map = (d0, d1) -> (d0 : dense, d1 : compressed)}>
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// CHECK-LABEL: func.func @sparse_metadata_init() -> !llvm.struct<(array<2 x i64>, array<3 x i64>)> {
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// CHECK: %[[VAL_0:.*]] = arith.constant 0 : i64
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// CHECK: %[[VAL_1:.*]] = llvm.mlir.undef : !llvm.struct<(array<2 x i64>, array<3 x i64>)>
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// CHECK: %[[VAL_2:.*]] = llvm.insertvalue %[[VAL_0]], %[[VAL_1]][1, 0] : !llvm.struct<(array<2 x i64>, array<3 x i64>)>
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// CHECK: %[[VAL_3:.*]] = llvm.insertvalue %[[VAL_0]], %[[VAL_2]][1, 1] : !llvm.struct<(array<2 x i64>, array<3 x i64>)>
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// CHECK: %[[VAL_4:.*]] = llvm.insertvalue %[[VAL_0]], %[[VAL_3]][1, 2] : !llvm.struct<(array<2 x i64>, array<3 x i64>)>
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// CHECK: return %[[VAL_4]] : !llvm.struct<(array<2 x i64>, array<3 x i64>)>
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// CHECK: }
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func.func @sparse_metadata_init() -> !sparse_tensor.storage_specifier<#CSR> {
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%0 = sparse_tensor.storage_specifier.init : !sparse_tensor.storage_specifier<#CSR>
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return %0 : !sparse_tensor.storage_specifier<#CSR>
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}
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// CHECK-LABEL: func.func @sparse_get_md(
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// CHECK-SAME: %[[VAL_0:.*]]: !llvm.struct<(array<2 x i64>, array<3 x i64>)>) -> index {
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// CHECK: %[[VAL_1:.*]] = llvm.extractvalue %[[VAL_0]][0, 0] : !llvm.struct<(array<2 x i64>, array<3 x i64>)>
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// CHECK: %[[CAST:.*]] = arith.index_cast %[[VAL_1]] : i64 to index
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// CHECK: return %[[CAST]] : index
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func.func @sparse_get_md(%arg0: !sparse_tensor.storage_specifier<#CSR>) -> index {
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%0 = sparse_tensor.storage_specifier.get %arg0 lvl_sz at 0
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: !sparse_tensor.storage_specifier<#CSR>
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return %0 : index
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}
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// CHECK-LABEL: func.func @sparse_set_md(
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// CHECK-SAME: %[[VAL_0:.*]]: !llvm.struct<(array<2 x i64>, array<3 x i64>)>,
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// CHECK-SAME: %[[VAL_1:.*]]: index) -> !llvm.struct<(array<2 x i64>, array<3 x i64>)> {
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// CHECK: %[[CAST:.*]] = arith.index_cast %[[VAL_1]] : index to i64
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// CHECK: %[[VAL_2:.*]] = llvm.insertvalue %[[CAST]], %[[VAL_0]][0, 0] : !llvm.struct<(array<2 x i64>, array<3 x i64>)>
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// CHECK: return %[[VAL_2]] : !llvm.struct<(array<2 x i64>, array<3 x i64>)>
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func.func @sparse_set_md(%arg0: !sparse_tensor.storage_specifier<#CSR>, %arg1: index)
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-> !sparse_tensor.storage_specifier<#CSR> {
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%0 = sparse_tensor.storage_specifier.set %arg0 lvl_sz at 0 with %arg1
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: !sparse_tensor.storage_specifier<#CSR>
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return %0 : !sparse_tensor.storage_specifier<#CSR>
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}
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