Applying the review comments

Author: antonwolfy

.gitignore

@@ -1,6 +1,5 @@
 # CMake build and local install directory
 _skbuild
-build
 build_cython
 dpnp.egg-info
 

dpnp/backend/extensions/lapack/heevd.cpp

@@ -44,14 +44,14 @@ namespace mkl_lapack = oneapi::mkl::lapack;
 namespace py = pybind11;
 
 template <typename T, typename RealT>
-static inline sycl::event call_heevd(sycl::queue exec_q,
-                                     const oneapi::mkl::job jobz,
-                                     const oneapi::mkl::uplo upper_lower,
-                                     const std::int64_t n,
-                                     T* a,
-                                     RealT* w,
-                                     std::vector<sycl::event> &host_task_events,
-                                     const std::vector<sycl::event>& depends)
+static sycl::event call_heevd(sycl::queue exec_q,
+                              const oneapi::mkl::job jobz,
+                              const oneapi::mkl::uplo upper_lower,
+                              const std::int64_t n,
+                              T* a,
+                              RealT* w,
+                              std::vector<sycl::event>& host_task_events,
+                              const std::vector<sycl::event>& depends)
 {
     validate_type_for_device<T>(exec_q);
     validate_type_for_device<RealT>(exec_q);
@@ -171,6 +171,17 @@ std::pair<sycl::event, sycl::event> heevd(sycl::queue exec_q,
     //     throw py::value_error("Arrays index overlapping segments of memory");
     // }
 
+    bool is_eig_vecs_f_contig = eig_vecs.is_f_contiguous();
+    bool is_eig_vals_c_contig = eig_vals.is_c_contiguous();
+    if (!is_eig_vecs_f_contig)
+    {
+        throw py::value_error("An array with input matrix / ouput eigenvectors must be F-contiguous");
+    }
+    else if (!is_eig_vals_c_contig)
+    {
+        throw py::value_error("An array with output eigenvalues must be C-contiguous");
+    }
+
     int eig_vecs_typenum = eig_vecs.get_typenum();
     int eig_vals_typenum = eig_vals.get_typenum();
     auto const& dpctl_capi = dpctl::detail::dpctl_capi::get();

dpnp/backend/extensions/lapack/syevd.cpp

@@ -44,14 +44,14 @@ namespace mkl_lapack = oneapi::mkl::lapack;
 namespace py = pybind11;
 
 template <typename T>
-static inline sycl::event call_syevd(sycl::queue exec_q,
-                                     const oneapi::mkl::job jobz,
-                                     const oneapi::mkl::uplo upper_lower,
-                                     const std::int64_t n,
-                                     T* a,
-                                     T* w,
-                                     std::vector<sycl::event> &host_task_events,
-                                     const std::vector<sycl::event>& depends)
+static sycl::event call_syevd(sycl::queue exec_q,
+                              const oneapi::mkl::job jobz,
+                              const oneapi::mkl::uplo upper_lower,
+                              const std::int64_t n,
+                              T* a,
+                              T* w,
+                              std::vector<sycl::event>& host_task_events,
+                              const std::vector<sycl::event>& depends)
 {
     validate_type_for_device<T>(exec_q);
 
@@ -170,6 +170,17 @@ std::pair<sycl::event, sycl::event> syevd(sycl::queue exec_q,
     //     throw py::value_error("Arrays index overlapping segments of memory");
     // }
 
+    bool is_eig_vecs_f_contig = eig_vecs.is_f_contiguous();
+    bool is_eig_vals_c_contig = eig_vals.is_c_contiguous();
+    if (!is_eig_vecs_f_contig)
+    {
+        throw py::value_error("An array with input matrix / ouput eigenvectors must be F-contiguous");
+    }
+    else if (!is_eig_vals_c_contig)
+    {
+        throw py::value_error("An array with output eigenvalues must be C-contiguous");
+    }
+
     int eig_vecs_typenum = eig_vecs.get_typenum();
     int eig_vals_typenum = eig_vals.get_typenum();
     auto const& dpctl_capi = dpctl::detail::dpctl_capi::get();

dpnp/linalg/dpnp_utils_linalg.py

@@ -96,11 +96,8 @@ def dpnp_eigh(a, UPLO):
             # call LAPACK extension function to get eigenvalues and eigenvectors of a portion of matrix A
             ht_lapack_ev[i], _ = getattr(li, lapack_func)(a_sycl_queue, jobz, uplo, eig_vecs[i].get_array(), w[i].get_array(), depends=[copy_ev])
 
-            # TODO: remove once dpctl fix is available
-            ht_lapack_ev[i].wait()
-
         for i in range(op_count):
-            # ht_lapack_ev[i].wait()
+            ht_lapack_ev[i].wait()
             ht_copy_ev[i].wait()
 
         # combine the list of eigenvectors into a single array