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Author: ndgrigorian

dpctl/tensor/_statistical_functions.py

@@ -141,15 +141,8 @@ def _var_impl(x, axis, correction, keepdims):
     res_shape = res.shape
     # when nelems - correction <= 0, yield nans
     div = max(nelems - correction, 0)
-    if div:
-        dep_evs = _manager.submitted_events
-        ht_e7, d_e2 = tei._divide_by_scalar(
-            src=res, scalar=div, dst=res, sycl_queue=q, depends=dep_evs
-        )
-        _manager.add_event_pair(ht_e7, d_e2)
-        return res, [d_e2]
-
-    div = dpt.nan
+    if not div:
+        div = dpt.nan
     dep_evs = _manager.submitted_events
     ht_e7, d_e2 = tei._divide_by_scalar(
         src=res, scalar=div, dst=res, sycl_queue=q, depends=dep_evs

dpctl/tensor/libtensor/source/elementwise_functions/true_divide.cpp

@@ -313,27 +313,32 @@ py_divide_by_scalar(const dpctl::tensor::usm_ndarray &src,
         fn = divide_by_scalar<sycl::half, sycl::half>;
         std::ignore =
             new (scalar_alloc) sycl::half(static_cast<sycl::half>(scalar));
-    } break;
+        break;
+    }
     case float32_typeid:
     {
         fn = divide_by_scalar<float, float>;
         std::ignore = new (scalar_alloc) float(scalar);
-    } break;
+        break;
+    }
     case float64_typeid:
     {
         fn = divide_by_scalar<double, double>;
         std::ignore = new (scalar_alloc) double(scalar);
-    } break;
+        break;
+    }
     case complex64_typeid:
     {
         fn = divide_by_scalar<std::complex<float>, float>;
         std::ignore = new (scalar_alloc) float(scalar);
-    } break;
+        break;
+    }
     case complex128_typeid:
     {
         fn = divide_by_scalar<std::complex<double>, double>;
         std::ignore = new (scalar_alloc) double(scalar);
-    } break;
+        break;
+    }
     default:
         throw std::runtime_error("Implementation is missing for typeid=" +
                                  std::to_string(src_typeid));