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| author | Yinying Li <yinyingli@google.com> | 2024-05-09 12:09:40 -0400 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-05-09 12:09:40 -0400 |
| commit | eb177803bfc31ea8ce784c6cf5a881a8bbce0bce (patch) | |
| tree | ef96366dc8840077a9c679ff14507da58e70a4e5 /mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_2d.mlir | |
| parent | df21ee4c62e97239560485abdcc42aa340de65f7 (diff) | |
[mlir][sparse] Change sparse_tensor.print format (#91528)
1. Remove the trailing comma for the last element of memref and add
closing parenthesis.
2. Change integration tests to use the new format.
Diffstat (limited to 'mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_2d.mlir')
| -rw-r--r-- | mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_2d.mlir | 32 |
1 files changed, 16 insertions, 16 deletions
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_2d.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_2d.mlir index 883109150653..baab6e759886 100644 --- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_2d.mlir +++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_insert_2d.mlir @@ -68,7 +68,7 @@ module { // CHECK-NEXT: nse = 12 // CHECK-NEXT: dim = ( 4, 3 ) // CHECK-NEXT: lvl = ( 4, 3 ) - // CHECK-NEXT: values : ( 1, 0, 0, 0, 0, 0, 0, 0, 2, 3, 0, 4, + // CHECK-NEXT: values : ( 1, 0, 0, 0, 0, 0, 0, 0, 2, 3, 0, 4 ) // CHECK-NEXT: ---- // %densea = tensor.empty() : tensor<4x3xf64, #Dense> @@ -86,10 +86,10 @@ module { // CHECK-NEXT: nse = 4 // CHECK-NEXT: dim = ( 4, 3 ) // CHECK-NEXT: lvl = ( 4, 3 ) - // CHECK-NEXT: pos[0] : ( 0, 4, - // CHECK-NEXT: crd[0] : ( 0, 2, 3, 3, - // CHECK-NEXT: crd[1] : ( 0, 2, 0, 2, - // CHECK-NEXT: values : ( 1, 2, 3, 4, + // CHECK-NEXT: pos[0] : ( 0, 4 ) + // CHECK-NEXT: crd[0] : ( 0, 2, 3, 3 ) + // CHECK-NEXT: crd[1] : ( 0, 2, 0, 2 ) + // CHECK-NEXT: values : ( 1, 2, 3, 4 ) // CHECK-NEXT: ---- // %cooa = tensor.empty() : tensor<4x3xf64, #SortedCOO> @@ -107,9 +107,9 @@ module { // CHECK-NEXT: nse = 4 // CHECK-NEXT: dim = ( 4, 3 ) // CHECK-NEXT: lvl = ( 4, 3 ) - // CHECK-NEXT: pos[1] : ( 0, 1, 1, 2, 4, - // CHECK-NEXT: crd[1] : ( 0, 2, 0, 2, - // CHECK-NEXT: values : ( 1, 2, 3, 4, + // CHECK-NEXT: pos[1] : ( 0, 1, 1, 2, 4 ) + // CHECK-NEXT: crd[1] : ( 0, 2, 0, 2 ) + // CHECK-NEXT: values : ( 1, 2, 3, 4 ) // CHECK-NEXT: ---- // %csra = tensor.empty() : tensor<4x3xf64, #CSR> @@ -127,11 +127,11 @@ module { // CHECK-NEXT: nse = 4 // CHECK-NEXT: dim = ( 4, 3 ) // CHECK-NEXT: lvl = ( 4, 3 ) - // CHECK-NEXT: pos[0] : ( 0, 3, - // CHECK-NEXT: crd[0] : ( 0, 2, 3, - // CHECK-NEXT: pos[1] : ( 0, 1, 2, 4, - // CHECK-NEXT: crd[1] : ( 0, 2, 0, 2, - // CHECK-NEXT: values : ( 1, 2, 3, 4, + // CHECK-NEXT: pos[0] : ( 0, 3 ) + // CHECK-NEXT: crd[0] : ( 0, 2, 3 ) + // CHECK-NEXT: pos[1] : ( 0, 1, 2, 4 ) + // CHECK-NEXT: crd[1] : ( 0, 2, 0, 2 ) + // CHECK-NEXT: values : ( 1, 2, 3, 4 ) // CHECK-NEXT: ---- // %dcsra = tensor.empty() : tensor<4x3xf64, #DCSR> @@ -149,9 +149,9 @@ module { // CHECK-NEXT: nse = 9 // CHECK-NEXT: dim = ( 4, 3 ) // CHECK-NEXT: lvl = ( 4, 3 ) - // CHECK-NEXT: pos[0] : ( 0, 3, - // CHECK-NEXT: crd[0] : ( 0, 2, 3, - // CHECK-NEXT: values : ( 1, 0, 0, 0, 0, 2, 3, 0, 4, + // CHECK-NEXT: pos[0] : ( 0, 3 ) + // CHECK-NEXT: crd[0] : ( 0, 2, 3 ) + // CHECK-NEXT: values : ( 1, 0, 0, 0, 0, 2, 3, 0, 4 ) // CHECK-NEXT: ---- // %rowa = tensor.empty() : tensor<4x3xf64, #Row> |