diff --git a/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorOps.td b/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorOps.td
--- a/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorOps.td
+++ b/mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorOps.td
@@ -167,6 +167,25 @@
   let hasVerifier = 1;
 }
 
+def SparseTensor_NumberOfEntriesOp : SparseTensor_Op<"number_of_entries", [Pure]>,
+    Arguments<(ins AnySparseTensor:$tensor)>,
+    Results<(outs Index:$result)> {
+  let summary = "Returns the number of entries that are stored in the tensor.";
+  let description = [{
+    Returns the number of entries that are stored in the given sparse tensor.
+    Note that this is typically the number of nonzero elements in the tensor,
+    but since explicit zeros may appear in the storage formats, the more
+    accurate nomenclature is used.
+
+    Example:
+
+    ```mlir
+    %noe = sparse_tensor.number_of_entries %tensor : tensor<64x64xf64, #CSR>
+    ```
+  }];
+  let assemblyFormat = "$tensor attr-dict `:` type($tensor)";
+}
+
 def SparseTensor_ConcatenateOp : SparseTensor_Op<"concatenate", [Pure]>,
     Arguments<(ins Variadic<AnyRankedTensor>:$inputs, IndexAttr:$dimension)>,
     Results<(outs AnyRankedTensor:$result)> {
diff --git a/mlir/test/Dialect/SparseTensor/roundtrip.mlir b/mlir/test/Dialect/SparseTensor/roundtrip.mlir
--- a/mlir/test/Dialect/SparseTensor/roundtrip.mlir
+++ b/mlir/test/Dialect/SparseTensor/roundtrip.mlir
@@ -91,6 +91,19 @@
 
 // -----
 
+#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
+
+// CHECK-LABEL: func @sparse_noe(
+//  CHECK-SAME: %[[A:.*]]: tensor<128xf64, #{{.*}}>)
+//       CHECK: %[[T:.*]] = sparse_tensor.number_of_entries %[[A]] : tensor<128xf64, #{{.*}}>
+//       CHECK: return %[[T]] : index
+func.func @sparse_noe(%arg0: tensor<128xf64, #SparseVector>) -> index {
+  %0 = sparse_tensor.number_of_entries %arg0 : tensor<128xf64, #SparseVector>
+  return %0 : index
+}
+
+// -----
+
 #DenseMatrix = #sparse_tensor.encoding<{dimLevelType = ["dense","dense"]}>
 
 // CHECK-LABEL: func @sparse_load(