Added dtype parameter in dpnp.sum() function call for avoid unnecessary copying.

Author: npolina4

dpbench/benchmarks/gpairs/gpairs_dpnp.py

@@ -12,7 +12,10 @@ def _gpairs_impl(x1, y1, z1, w1, x2, y2, z2, w2, rbins):
         + np.square(z2 - z1[:, None])
     )
     return np.array(
-        [np.outer(w1, w2)[dm <= rbins[k]].sum() for k in range(len(rbins))],
+        [
+            np.outer(w1, w2)[dm <= rbins[k]].sum(dtype=np.result_type(w1, w2))
+            for k in range(len(rbins))
+        ],
         device=x1.device,
     )
 

dpbench/benchmarks/l2_norm/l2_norm_dpnp.py

@@ -7,5 +7,5 @@
 
 def l2_norm(a, d):
     sq = np.square(a)
-    sum = sq.sum(axis=1)
+    sum = sq.sum(axis=1, dtype=sq.dtype)
     d[:] = np.sqrt(sum)

dpbench/benchmarks/pairwise_distance/pairwise_distance_dpnp.py

@@ -6,8 +6,8 @@
 
 
 def pairwise_distance(X1, X2, D):
-    x1 = np.sum(np.square(X1), axis=1)
-    x2 = np.sum(np.square(X2), axis=1)
+    x1 = np.sum(np.square(X1), axis=1, dtype=X1.dtype)
+    x2 = np.sum(np.square(X2), axis=1, dtype=X2.dtype)
     np.dot(X1, X2.T, D)
     D *= -2
     x3 = x1.reshape(x1.size, 1)