[Mlir-commits] [mlir] [mlir][sparse] support tensor.pad on CSR tensors (PR #90687)

[Aart Bik]

================
@@ -0,0 +1,79 @@
+// RUN: mlir-opt %s --sparse-reinterpret-map -sparsification -canonicalize | FileCheck %s
+
+#CSR = #sparse_tensor.encoding<{
+  map = (d0, d1) -> (d0 : dense, d1 : compressed)
+}>
+
+#elemwise = {
+  indexing_maps = [
+    affine_map<(i,j) -> (i,j)>,  // A
+    affine_map<(i,j) -> (i,j)>,  // B
+    affine_map<(i,j) -> (i,j)>   // X (out)
+  ],
+  iterator_types = ["parallel", "parallel"],
+  doc = "X(i,j) = A(i,j) OP B(i,j)"
+}
+
+
+// CHECK-LABEL:   func.func @padded_mul(
+// CHECK-SAME:                          %[[VAL_0:.*]]: tensor<4x4xf32, #sparse>,
+// CHECK-SAME:                          %[[VAL_1:.*]]: tensor<8x8xf32>) -> tensor<8x8xf32> {
+// CHECK-DAG:       %[[VAL_2:.*]] = arith.constant -1 : index
+// CHECK-DAG:       %[[VAL_3:.*]] = arith.constant 6 : index
+// CHECK-DAG:       %[[VAL_4:.*]] = arith.constant 8 : index
+// CHECK-DAG:       %[[VAL_5:.*]] = arith.constant 1 : index
+// CHECK-DAG:       %[[VAL_6:.*]] = arith.constant 0 : index
+// CHECK-DAG:       %[[VAL_7:.*]] = arith.constant 2 : index
+// CHECK-DAG:       %[[VAL_8:.*]] = arith.constant 0.000000e+00 : f32
+// CHECK:           %[[VAL_9:.*]] = tensor.empty() : tensor<8x8xf32>
+// CHECK:           %[[VAL_10:.*]] = linalg.fill ins(%[[VAL_8]] : f32) outs(%[[VAL_9]] : tensor<8x8xf32>) -> tensor<8x8xf32>
+// CHECK:           %[[VAL_11:.*]] = sparse_tensor.positions %[[VAL_0]] {level = 1 : index} : tensor<4x4xf32, #sparse> to memref<?xindex>
+// CHECK:           %[[VAL_12:.*]] = sparse_tensor.coordinates %[[VAL_0]] {level = 1 : index} : tensor<4x4xf32, #sparse> to memref<?xindex>
+// CHECK:           %[[VAL_13:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<4x4xf32, #sparse> to memref<?xf32>
+// CHECK:           %[[VAL_14:.*]] = bufferization.to_memref %[[VAL_10]] : memref<8x8xf32>
+// CHECK:           linalg.fill ins(%[[VAL_8]] : f32) outs(%[[VAL_14]] : memref<8x8xf32>)
+// CHECK:           scf.for %[[VAL_15:.*]] = %[[VAL_6]] to %[[VAL_4]] step %[[VAL_5]] {
+// CHECK:             %[[VAL_16:.*]] = arith.subi %[[VAL_15]], %[[VAL_7]] : index
+// CHECK:             %[[VAL_17:.*]] = arith.cmpi ult, %[[VAL_15]], %[[VAL_7]] : index
+// CHECK:             %[[VAL_18:.*]] = arith.cmpi uge, %[[VAL_15]], %[[VAL_3]] : index
+// CHECK:             %[[VAL_19:.*]] = arith.ori %[[VAL_17]], %[[VAL_18]] : i1
+// CHECK:             %[[VAL_20:.*]]:2 = scf.if %[[VAL_19]] -> (index, index) {
+// CHECK:               scf.yield %[[VAL_6]], %[[VAL_6]] : index, index
+// CHECK:             } else {
+// CHECK:               %[[VAL_21:.*]] = memref.load %[[VAL_11]]{{\[}}%[[VAL_16]]] : memref<?xindex>
+// CHECK:               %[[VAL_22:.*]] = arith.addi %[[VAL_15]], %[[VAL_2]] : index
+// CHECK:               %[[VAL_23:.*]] = memref.load %[[VAL_11]]{{\[}}%[[VAL_22]]] : memref<?xindex>
+// CHECK:               scf.yield %[[VAL_21]], %[[VAL_23]] : index, index
+// CHECK:             }
+// CHECK:             scf.for %[[VAL_24:.*]] = %[[VAL_20]]#0 to %[[VAL_20]]#1 step %[[VAL_5]] {
+// CHECK:               %[[VAL_26:.*]] = memref.load %[[VAL_12]]{{\[}}%[[VAL_24]]] : memref<?xindex>
+// CHECK:               %[[VAL_27:.*]] = arith.addi %[[VAL_26]], %[[VAL_7]] : index
+// CHECK:               %[[VAL_28:.*]] = memref.load %[[VAL_13]]{{\[}}%[[VAL_24]]] : memref<?xf32>
+// CHECK:               %[[VAL_29:.*]] = tensor.extract %[[VAL_1]]{{\[}}%[[VAL_15]], %[[VAL_27]]] : tensor<8x8xf32>
+// CHECK:               %[[VAL_30:.*]] = arith.mulf %[[VAL_28]], %[[VAL_29]] : f32
+// CHECK:               memref.store %[[VAL_30]], %[[VAL_14]]{{\[}}%[[VAL_15]], %[[VAL_27]]] : memref<8x8xf32>
+// CHECK:             } {"Emitted from" = "linalg.generic"}
+// CHECK:           } {"Emitted from" = "linalg.generic"}
+// CHECK:           %[[VAL_31:.*]] = bufferization.to_tensor %[[VAL_14]] : memref<8x8xf32>
+// CHECK:           return %[[VAL_31]] : tensor<8x8xf32>
+// CHECK:         }
+func.func @padded_mul(%arg0: tensor<4x4xf32, #CSR>, %arg1: tensor<8x8xf32>) -> tensor<8x8xf32> {
----------------
aartbik wrote:

neat!

https://github.com/llvm/llvm-project/pull/90687