diff --git a/.appveyor.yml b/.appveyor.yml
index 3d9fbf7..5a99377 100644
--- a/.appveyor.yml
+++ b/.appveyor.yml
@@ -23,7 +23,7 @@ install:
   - conda update -q conda
   - conda info -a
   - conda install gtest cmake -c conda-forge
-  - conda install xtensor==0.11.0 pytest numpy pybind11==2.1.1 -c conda-forge
+  - conda install xtensor==0.12.0 pytest numpy pybind11==2.1.1 -c conda-forge
   - "set PYTHONHOME=%MINICONDA%"
   - cmake -G "NMake Makefiles" -D CMAKE_INSTALL_PREFIX=%MINICONDA%\\Library -D BUILD_TESTS=ON -D PYTHON_EXECUTABLE=%MINICONDA%\\python.exe .
   - nmake test_xtensor_python
diff --git a/.travis.yml b/.travis.yml
index 982b245..4ffec94 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -95,7 +95,7 @@ install:
     - conda update -q conda
     # Useful for debugging any issues with conda
     - conda info -a
-    - conda install xtensor==0.11.0 pytest numpy pybind11==2.1.1 -c conda-forge
+    - conda install xtensor==0.12.0 pytest numpy pybind11==2.1.1 -c conda-forge
     - conda install cmake gtest -c conda-forge
     - cmake -D BUILD_TESTS=ON -D CMAKE_INSTALL_PREFIX=$HOME/miniconda .
     - make -j2 test_xtensor_python
diff --git a/README.md b/README.md
index 37bd3e7..9f58c5b 100644
--- a/README.md
+++ b/README.md
@@ -189,7 +189,7 @@ from the `docs` subdirectory.
 
 | `xtensor-python`  | `xtensor`  |  `pybind11` |
 |-------------------|------------|-------------|
-| master            |  ^0.11.0   | ^2.1.0      |
+| master            |  ^0.12.0   | ^2.1.0      |
 | 0.13.x            |  ^0.11.0   | ^2.1.0      |
 | 0.12.x            |  ^0.10.2   | 2.1.\*      |
 | 0.11.x            |  ^0.10.0   | 2.1.\*      |
diff --git a/include/xtensor-python/pyarray.hpp b/include/xtensor-python/pyarray.hpp
index 85c37aa..1e33dfe 100644
--- a/include/xtensor-python/pyarray.hpp
+++ b/include/xtensor-python/pyarray.hpp
@@ -473,8 +473,8 @@ namespace xt
         : base_type()
     {
         // TODO: avoid allocation
-        shape_type shape = make_sequence<shape_type>(0, size_type(1));
-        strides_type strides = make_sequence<strides_type>(0, size_type(0));
+        shape_type shape = xtl::make_sequence<shape_type>(0, size_type(1));
+        strides_type strides = xtl::make_sequence<strides_type>(0, size_type(0));
         init_array(shape, strides);
         m_data[0] = T();
     }
@@ -661,8 +661,8 @@ namespace xt
         : base_type()
     {
         // TODO: prevent intermediary shape allocation
-        shape_type shape = forward_sequence<shape_type>(e.derived_cast().shape());
-        strides_type strides = make_sequence<strides_type>(shape.size(), size_type(0));
+        shape_type shape = xtl::forward_sequence<shape_type>(e.derived_cast().shape());
+        strides_type strides = xtl::make_sequence<strides_type>(shape.size(), size_type(0));
         compute_strides(shape, layout_type::row_major, strides);
         init_array(shape, strides);
         semantic_base::assign(e);
diff --git a/include/xtensor-python/pycontainer.hpp b/include/xtensor-python/pycontainer.hpp
index 5a19f2e..6c5d1f8 100644
--- a/include/xtensor-python/pycontainer.hpp
+++ b/include/xtensor-python/pycontainer.hpp
@@ -28,6 +28,8 @@
 
 #include "xtensor/xcontainer.hpp"
 
+#include "xtl/xsequence.hpp"
+
 namespace xt
 {
 
@@ -233,7 +235,7 @@ namespace xt
     template <class D>
     inline void pycontainer<D>::reshape(const shape_type& shape, layout_type l)
     {
-        strides_type strides = make_sequence<strides_type>(shape.size(), size_type(1));
+        strides_type strides = xtl::make_sequence<strides_type>(shape.size(), size_type(1));
         compute_strides(shape, l, strides);
         reshape(shape, strides);
     }
diff --git a/include/xtensor-python/pytensor.hpp b/include/xtensor-python/pytensor.hpp
index 3ebcd34..a0107de 100644
--- a/include/xtensor-python/pytensor.hpp
+++ b/include/xtensor-python/pytensor.hpp
@@ -224,8 +224,8 @@ namespace xt
     inline pytensor<T, N>::pytensor()
         : base_type()
     {
-        m_shape = make_sequence<shape_type>(N, size_type(1));
-        m_strides = make_sequence<strides_type>(N, size_type(0));
+        m_shape = xtl::make_sequence<shape_type>(N, size_type(1));
+        m_strides = xtl::make_sequence<strides_type>(N, size_type(0));
         init_tensor(m_shape, m_strides);
         m_data[0] = T();
     }
@@ -360,8 +360,8 @@ namespace xt
     inline pytensor<T, N>::pytensor(const xexpression<E>& e)
         : base_type()
     {
-        shape_type shape = forward_sequence<shape_type>(e.derived_cast().shape());
-        strides_type strides = make_sequence<strides_type>(N, size_type(0));
+        shape_type shape = xtl::forward_sequence<shape_type>(e.derived_cast().shape());
+        strides_type strides = xtl::make_sequence<strides_type>(N, size_type(0));
         compute_strides(shape, layout_type::row_major, strides);
         init_tensor(shape, strides);
         semantic_base::assign(e);
diff --git a/test/test_common.hpp b/test/test_common.hpp
index 01eb560..af775c7 100644
--- a/test/test_common.hpp
+++ b/test/test_common.hpp
@@ -12,6 +12,8 @@
 #include "xtensor/xlayout.hpp"
 #include "xtensor/xstridedview.hpp"
 
+#include "xtl/xsequence.hpp"
+
 namespace xt
 {
     template <class T, class A>
@@ -218,7 +220,7 @@ namespace xt
         using strides_type = typename V::strides_type;
         {
             SCOPED_TRACE("transpose");
-            shape_type shape_new = xt::make_sequence<shape_type>(vec.dimension(), 0);
+            shape_type shape_new = xtl::make_sequence<shape_type>(vec.dimension(), 0);
             std::copy(vec.shape().cbegin(), vec.shape().cend(), shape_new.begin());
             auto vt = transpose(vec);
             std::reverse(shape_new.begin(), shape_new.end());
@@ -268,7 +270,7 @@ namespace xt
 
             auto vec_copy = vec;
 
-            shape_type a = xt::make_sequence<shape_type>(vec.dimension(), 0);
+            shape_type a = xtl::make_sequence<shape_type>(vec.dimension(), 0);
             std::copy(vec.shape().cbegin(), vec.shape().cend(), a.begin());
             auto vt = transpose(vec, {1, 0, 2});
             shape_type shape_new = {a[1], a[0], a[2]};