diff --git a/k2/python/csrc/torch/v2/any.cu b/k2/python/csrc/torch/v2/any.cu
index 4475e3c09..a3c6653f0 100644
--- a/k2/python/csrc/torch/v2/any.cu
+++ b/k2/python/csrc/torch/v2/any.cu
@@ -353,6 +353,8 @@ void PybindRaggedAny(py::module &m) {
   any.def("unique", &RaggedAny::Unique, py::arg("need_num_repeats") = false,
           py::arg("need_new2old_indexes") = false, kRaggedAnyUniqueDoc);
 
+  any.def("unsqueeze", &RaggedAny::Unsqueeze, py::arg("axis"));
+
   any.def("normalize", &RaggedAny::Normalize, py::arg("use_log"),
           kRaggedAnyNormalizeDoc);
 
diff --git a/k2/python/csrc/torch/v2/ragged_any.cu b/k2/python/csrc/torch/v2/ragged_any.cu
index 3c690d5d9..e0114ae07 100644
--- a/k2/python/csrc/torch/v2/ragged_any.cu
+++ b/k2/python/csrc/torch/v2/ragged_any.cu
@@ -575,6 +575,14 @@ RaggedAny RaggedAny::Cat(const std::vector<RaggedAny> &srcs, int32_t axis) {
   return {};
 }
 
+RaggedAny RaggedAny::Unsqueeze(int32_t axis) {
+  DeviceGuard guard(any.Context());
+  Dtype t = any.GetDtype();
+  FOR_REAL_AND_INT32_TYPES(t, T, {
+    return RaggedAny(k2::Unsqueeze(any.Specialize<T>(), axis).Generic());
+  });
+}
+
 std::tuple<RaggedAny, torch::optional<RaggedAny>,
            torch::optional<torch::Tensor>>
 RaggedAny::Unique(bool need_num_repeats /*= false*/,
diff --git a/k2/python/csrc/torch/v2/ragged_any.h b/k2/python/csrc/torch/v2/ragged_any.h
index d70011924..b741347b2 100644
--- a/k2/python/csrc/torch/v2/ragged_any.h
+++ b/k2/python/csrc/torch/v2/ragged_any.h
@@ -264,6 +264,8 @@ struct RaggedAny {
              torch::optional<torch::Tensor>>
   Unique(bool need_num_repeats = false, bool need_new2old_indexes = false);
 
+  RaggedAny Unsqueeze(int32_t axis);
+
   /// Wrapper for k2::NormalizePerSublist
   RaggedAny Normalize(bool use_log) /*const*/;
 
diff --git a/k2/python/k2/__init__.py b/k2/python/k2/__init__.py
index 5d0691c1e..96696de7f 100644
--- a/k2/python/k2/__init__.py
+++ b/k2/python/k2/__init__.py
@@ -31,6 +31,7 @@
 
 from .ragged import RaggedShape
 from .ragged import RaggedTensor
+from .ragged import create_ragged_shape2
 
 from . import autograd
 from . import autograd_utils