maxjhandsome
/
llvm-project
forked from OSchip/llvm-project
1
0
Fork 0
Code Issues Pull Requests Packages Releases Wiki Activity

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

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

Reviewed By: wrengr

Differential Revision: https://reviews.llvm.org/D112778
This commit is contained in:
Aart Bik 2021-10-28 20:56:45 -07:00
parent 7cf7378a9d
commit 0121c96f37
1 changed files with 78 additions and 16 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

94
mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_ptr.mlir
View File

@ -24,6 +24,13 @@
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
@ -32,18 +39,40 @@
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>
@ -52,33 +81,66 @@ module {
// 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
}