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Diffstat (limited to 'mlir/test/Dialect/SparseTensor/rejected.mlir')
-rw-r--r--mlir/test/Dialect/SparseTensor/rejected.mlir4
1 files changed, 2 insertions, 2 deletions
diff --git a/mlir/test/Dialect/SparseTensor/rejected.mlir b/mlir/test/Dialect/SparseTensor/rejected.mlir
index 63a10c5fc48e..5cc676e54a0a 100644
--- a/mlir/test/Dialect/SparseTensor/rejected.mlir
+++ b/mlir/test/Dialect/SparseTensor/rejected.mlir
@@ -3,7 +3,7 @@
// The file contains examples that will be rejected by sparse compiler
// (we expect the linalg.generic unchanged).
-#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
+#SparseVector = #sparse_tensor.encoding<{lvlTypes = ["compressed"]}>
#trait = {
indexing_maps = [
@@ -15,7 +15,7 @@
// CHECK-LABEL: func.func @sparse_reduction_subi(
// CHECK-SAME: %[[VAL_0:.*]]: tensor<i32>,
-// CHECK-SAME: %[[VAL_1:.*]]: tensor<?xi32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }>>) -> tensor<i32> {
+// CHECK-SAME: %[[VAL_1:.*]]: tensor<?xi32, #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }>>) -> tensor<i32> {
// CHECK: %[[VAL_2:.*]] = linalg.generic
// CHECK: ^bb0(%[[VAL_3:.*]]: i32, %[[VAL_4:.*]]: i32):
// CHECK: %[[VAL_5:.*]] = arith.subi %[[VAL_3]], %[[VAL_4]] : i32