Minor documentation updates.

docs/ndarray.rst

@@ -33,14 +33,14 @@ Binding functions that take arrays as input
 -------------------------------------------
 
 A function that accepts a :cpp:class:`nb::ndarray\<\> <ndarray>`-typed parameter
-(i.e., *without* template parameters) can be called with *any* array
+(i.e., *without* template parameters) can be called with *any* writable array
 from any framework regardless of the device on which it is stored. The
 following example binding declaration uses this functionality to inspect the
 properties of an arbitrary input array:
 
 .. code-block:: cpp
 
-   m.def("inspect", [](nb::ndarray<> a) {
+   m.def("inspect", [](const nb::ndarray<>& a) {
        printf("Array data pointer : %p\n", a.data());
        printf("Array dimension : %zu\n", a.ndim());
        for (size_t i = 0; i < a.ndim(); ++i) {

include/nanobind/ndarray.h

@@ -326,15 +326,15 @@ template <typename... Ts> struct ndarray_info<pytorch, Ts...> : ndarray_info<Ts.
 template <typename... Ts> struct ndarray_info<tensorflow, Ts...> : ndarray_info<Ts...> {
     static_assert(ndarray_info<Ts...>::framework == ndarray_framework::none
                || ndarray_info<Ts...>::framework == ndarray_framework::tensorflow,
-                  "The framework cannot be set more than once.");
+                  "The framework can only be set once.");
     constexpr static auto name = const_name("tensorflow.python.framework.ops.EagerTensor");
     constexpr static ndarray_framework framework = ndarray_framework::tensorflow;
 };
 
 template <typename... Ts> struct ndarray_info<jax, Ts...> : ndarray_info<Ts...> {
     static_assert(ndarray_info<Ts...>::framework == ndarray_framework::none
                || ndarray_info<Ts...>::framework == ndarray_framework::jax,
-                  "The framework cannot be set more than once.");
+                  "The framework can only be set once.");
     constexpr static auto name = const_name("jaxlib.xla_extension.DeviceArray");
     constexpr static ndarray_framework framework = ndarray_framework::jax;
 };

tests/test_ndarray.cpp

@@ -207,7 +207,7 @@ NB_MODULE(test_ndarray_ext, m) {
         [](nb::ndarray<float, nb::c_contig, nb::shape<2, 2>>) { return 0; },
         "array"_a);
 
-    m.def("inspect_ndarray", [](nb::ndarray<> ndarray) {
+    m.def("inspect_ndarray", [](const nb::ndarray<>& ndarray) {
         printf("Tensor data pointer : %p\n", ndarray.data());
         printf("Tensor dimension : %zu\n", ndarray.ndim());
         for (size_t i = 0; i < ndarray.ndim(); ++i) {