[mlir][sparse] refine the mixed width sparse conversion test

[aartbik]

Summary

Added a type with different pointer/index bit width. Also
added some sanity CHECKs on the stored indices.

[aartbik]

rebased with main

mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_ptr.mlir

 
 #DCSC  = #sparse_tensor.encoding<{
   dimLevelType = [ "compressed", "compressed" ],
   dimOrdering = affine_map<(i,j) -> (j,i)>,
   pointerBitWidth = 64,
   indexBitWidth = 64
 }>
 
+#CSC  = #sparse_tensor.encoding<{
+  dimLevelType = [ "dense", "compressed" ],
+  dimOrdering = affine_map<(i,j) -> (j,i)>,
+  pointerBitWidth = 16,
+  indexBitWidth = 32
+}>
+
 //
 // Integration test that tests conversions between sparse tensors,
 // where the pointer and index sizes in the overhead storage change
 // in addition to layout.
 //
 module {
 
   //
-  // Helper method to print values array. The transfer actually
+  // Helper method to print values and indices arrays. The transfer actually
   // reads more than required to verify size of buffer as well.
   //
-  func @dump(%arg0: memref<?xf64>) {
+  func @dumpf64(%arg0: memref<?xf64>) {
     %c = arith.constant 0 : index
     %d = arith.constant -1.0 : f64
     %0 = vector.transfer_read %arg0[%c], %d: memref<?xf64>, vector<8xf64>
     vector.print %0 : vector<8xf64>
     return
   }
+  func @dumpi08(%arg0: memref<?xi8>) {
+    %c = arith.constant 0 : index
+    %d = arith.constant -1 : i8
+    %0 = vector.transfer_read %arg0[%c], %d: memref<?xi8>, vector<8xi8>
+    vector.print %0 : vector<8xi8>
+    return
+  }
+  func @dumpi32(%arg0: memref<?xi32>) {
+    %c = arith.constant 0 : index
+    %d = arith.constant -1 : i32
+    %0 = vector.transfer_read %arg0[%c], %d: memref<?xi32>, vector<8xi32>
+    vector.print %0 : vector<8xi32>
+    return
+  }
+  func @dumpi64(%arg0: memref<?xi64>) {
+    %c = arith.constant 0 : index
+    %d = arith.constant -1 : i64
+    %0 = vector.transfer_read %arg0[%c], %d: memref<?xi64>, vector<8xi64>
+    vector.print %0 : vector<8xi64>
+    return
+  }
 
   func @entry() {
+    %c1 = arith.constant 1 : index
     %t1 = arith.constant sparse<
       [ [0,0], [0,1], [0,63], [1,0], [1,1], [31,0], [31,63] ],
         [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0 ]> : tensor<32x64xf64>
     %t2 = tensor.cast %t1 : tensor<32x64xf64> to tensor<?x?xf64>
 
     // Dense to sparse.
     %1 = sparse_tensor.convert %t1 : tensor<32x64xf64> to tensor<32x64xf64, #DCSR>
     %2 = sparse_tensor.convert %t1 : tensor<32x64xf64> to tensor<32x64xf64, #DCSC>
+    %3 = sparse_tensor.convert %t1 : tensor<32x64xf64> to tensor<32x64xf64, #CSC>
 
     // Sparse to sparse.
-    %3 = sparse_tensor.convert %1 : tensor<32x64xf64, #DCSR> to tensor<32x64xf64, #DCSC>
-    %4 = sparse_tensor.convert %2 : tensor<32x64xf64, #DCSC> to tensor<32x64xf64, #DCSR>
+    %4 = sparse_tensor.convert %1 : tensor<32x64xf64, #DCSR> to tensor<32x64xf64, #DCSC>
+    %5 = sparse_tensor.convert %2 : tensor<32x64xf64, #DCSC> to tensor<32x64xf64, #DCSR>
+    %6 = sparse_tensor.convert %3 : tensor<32x64xf64, #CSC>  to tensor<32x64xf64, #DCSR>
 
     //
     // All proper row-/column-wise?
     //
-    // CHECK: ( 1, 2, 3, 4, 5, 6, 7, -1 )
-    // CHECK: ( 1, 4, 6, 2, 5, 3, 7, -1 )
-    // CHECK: ( 1, 4, 6, 2, 5, 3, 7, -1 )
-    // CHECK: ( 1, 2, 3, 4, 5, 6, 7, -1 )
+    // CHECK:      ( 1, 2, 3, 4, 5, 6, 7, -1 )
+    // CHECK-NEXT: ( 1, 4, 6, 2, 5, 3, 7, -1 )
+    // CHECK-NEXT: ( 1, 4, 6, 2, 5, 3, 7, -1 )
+    // CHECK-NEXT: ( 1, 4, 6, 2, 5, 3, 7, -1 )
+    // CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, -1 )
+    // CHECK-NEXT: ( 1, 2, 3, 4, 5, 6, 7, -1 )
     //
     %m1 = sparse_tensor.values %1 : tensor<32x64xf64, #DCSR> to memref<?xf64>
     %m2 = sparse_tensor.values %2 : tensor<32x64xf64, #DCSC> to memref<?xf64>
-    %m3 = sparse_tensor.values %3 : tensor<32x64xf64, #DCSC> to memref<?xf64>
-    %m4 = sparse_tensor.values %4 : tensor<32x64xf64, #DCSR> to memref<?xf64>
-    call @dump(%m1) : (memref<?xf64>) -> ()
-    call @dump(%m2) : (memref<?xf64>) -> ()
-    call @dump(%m3) : (memref<?xf64>) -> ()
-    call @dump(%m4) : (memref<?xf64>) -> ()
+    %m3 = sparse_tensor.values %3 : tensor<32x64xf64, #CSC>  to memref<?xf64>
+    %m4 = sparse_tensor.values %4 : tensor<32x64xf64, #DCSC> to memref<?xf64>
+    %m5 = sparse_tensor.values %5 : tensor<32x64xf64, #DCSR> to memref<?xf64>
+    %m6 = sparse_tensor.values %6 : tensor<32x64xf64, #DCSR> to memref<?xf64>
+    call @dumpf64(%m1) : (memref<?xf64>) -> ()
+    call @dumpf64(%m2) : (memref<?xf64>) -> ()
+    call @dumpf64(%m3) : (memref<?xf64>) -> ()
+    call @dumpf64(%m4) : (memref<?xf64>) -> ()
+    call @dumpf64(%m5) : (memref<?xf64>) -> ()
+    call @dumpf64(%m6) : (memref<?xf64>) -> ()
+
+    //
+    // Sanity check on indices.
+    //
+    // CHECK-NEXT: ( 0, 1, 63, 0, 1, 0, 63, -1 )
+    // CHECK-NEXT: ( 0, 1, 31, 0, 1, 0, 31, -1 )
+    // CHECK-NEXT: ( 0, 1, 31, 0, 1, 0, 31, -1 )
+    // CHECK-NEXT: ( 0, 1, 31, 0, 1, 0, 31, -1 )
+    // CHECK-NEXT: ( 0, 1, 63, 0, 1, 0, 63, -1 )
+    // CHECK-NEXT: ( 0, 1, 63, 0, 1, 0, 63, -1 )
+    //
+    %i1 = sparse_tensor.indices %1, %c1 : tensor<32x64xf64, #DCSR> to memref<?xi8>
+    %i2 = sparse_tensor.indices %2, %c1 : tensor<32x64xf64, #DCSC> to memref<?xi64>
+    %i3 = sparse_tensor.indices %3, %c1 : tensor<32x64xf64, #CSC>  to memref<?xi32>
+    %i4 = sparse_tensor.indices %4, %c1 : tensor<32x64xf64, #DCSC> to memref<?xi64>
+    %i5 = sparse_tensor.indices %5, %c1 : tensor<32x64xf64, #DCSR> to memref<?xi8>
+    %i6 = sparse_tensor.indices %6, %c1 : tensor<32x64xf64, #DCSR> to memref<?xi8>
+    call @dumpi08(%i1) : (memref<?xi8>)  -> ()
+    call @dumpi64(%i2) : (memref<?xi64>) -> ()
+    call @dumpi32(%i3) : (memref<?xi32>) -> ()
+    call @dumpi64(%i4) : (memref<?xi64>) -> ()
+    call @dumpi08(%i5) : (memref<?xi08>) -> ()
+    call @dumpi08(%i6) : (memref<?xi08>) -> ()
 
     // Release the resources.
     sparse_tensor.release %1 : tensor<32x64xf64, #DCSR>
     sparse_tensor.release %2 : tensor<32x64xf64, #DCSC>
-    sparse_tensor.release %3 : tensor<32x64xf64, #DCSC>
-    sparse_tensor.release %4 : tensor<32x64xf64, #DCSR>
+    sparse_tensor.release %3 : tensor<32x64xf64, #CSC>
+    sparse_tensor.release %4 : tensor<32x64xf64, #DCSC>
+    sparse_tensor.release %5 : tensor<32x64xf64, #DCSR>
+    sparse_tensor.release %6 : tensor<32x64xf64, #DCSR>
 
     return
   }
 }