[arcane,tests] Utilise les nouvelles méthodes de 'NumArray'.

Author: grospelliergilles

arcane/src/arcane/tests/accelerator/AcceleratorViewsUnitTest.cc

@@ -455,7 +455,7 @@ _executeTest3()
   CellGroup own_cells = allCells().own();
   Int32 max_local_id = own_cells.itemFamily()->maxLocalId();
   NumArray<Int32, MDDim1> checked_local_ids(max_local_id);
-  checked_local_ids.fill(-1, &queue);
+  checked_local_ids.fill(-1, queue);
   {
     // Remplit out_checked_local_ids avec le i-ème localId() du groupe.
     auto out_checked_local_ids = ax::viewOut(command, checked_local_ids);

arcane/src/arcane/tests/accelerator/MemoryCopyUnitTest.cc

@@ -351,7 +351,7 @@ _executeFill(eMemoryRessource mem_kind, bool use_queue, bool use_index)
   info() << "Execute Fill memory_ressource=" << mem_kind
          << " use_queue=" << use_queue << " use_index=" << use_index;
 
-  auto queue = makeQueue(m_runner);
+  RunQueue queue = makeQueue(m_runner);
   RunQueue* queue_ptr = &queue;
   if (!use_queue)
     queue_ptr = nullptr;
@@ -409,7 +409,7 @@ _executeFill(eMemoryRessource mem_kind, bool use_queue, bool use_index)
     if (use_index) {
       NumArray<Int16, MDDim1> filter(eMemoryRessource::Host);
       filter.resize(n1);
-      filter.fill(0);
+      filter.fillHost(0);
       for (Int32 i = 0; i < nb_index; ++i)
         filter[indexes[i]] = 1;
 

arcane/src/arcane/tests/accelerator/NumArrayUnitTest.cc

@@ -389,7 +389,7 @@ _executeTest1(eMemoryRessource mem_kind)
   // Tableaux 2D
   {
     NumArray<double, MDDim2> t1(mem_kind);
-    t1.resize(n1, n2);
+    t1.resizeDestructive(n1, n2);
     _doRank2(queue, t1, expected_sum2);
   }
   {
@@ -410,12 +410,12 @@ _executeTest1(eMemoryRessource mem_kind)
   // Tableaux 3D
   {
     NumArray<double, MDDim3, LeftLayout> t1(mem_kind);
-    t1.resize(n1, n2, n3);
+    t1.resizeDestructive(n1, n2, n3);
     _doRank3(queue, t1, expected_sum3);
   }
   {
     NumArray<double, MDDim3, RightLayout> t1(mem_kind);
-    t1.resize(n1, n2, n3);
+    t1.resizeDestructive(n1, n2, n3);
     _doRank3(queue, t1, expected_sum3);
   }
   {
@@ -638,7 +638,7 @@ _executeTest4(eMemoryRessource mem_kind)
           out_t1[i] = _getValue(i);
       };
       NumArray<double, MDDim1> host_t1(eMemoryRessource::Host);
-      host_t1.copy(_toMDSpan(t1), &queue);
+      host_t1.copy(_toMDSpan(t1), queue);
       double s1 = _doSum(host_t1, { n1 }, &queue);
       info() << "SUM1 = " << s1;
       vc.areEqual(s1, expected_sum1, "SUM1");
@@ -657,7 +657,7 @@ _executeTest4(eMemoryRessource mem_kind)
       };
 
       NumArray<double, MDDim1> host_t2(eMemoryRessource::Host);
-      host_t2.copy(_toMDSpan(t2), &queue);
+      host_t2.copy(_toMDSpan(t2), queue);
       double s2 = _doSum(host_t2, { n1 }, &queue);
       info() << "SUM1_2 = " << s2;
       vc.areEqual(s2, expected_sum1, "SUM1_2");
@@ -784,15 +784,15 @@ _arcaneNumArraySamples()
   // Redimensionne t2 avec 6x5 valeurs
   t2.resize(6);
   // Redimensionne t3 avec 2x7x4 valeurs
-  t3.resize(2, 4);
+  t3.resizeDestructive(2, 4);
   // Redimensionne a1 avec 12 valeurs
-  a1.resize(12);
+  a1.resizeDestructive(12);
   // Redimensionne a2 avec 3x4 valeurs
-  a2.resize(3, 4);
+  a2.resizeDestructive(3, 4);
   // Redimensionne a3 avec 2x7x6 valeurs
-  a3.resize(2, 7, 6);
+  a3.resizeDestructive(2, 7, 6);
   // Redimensionne a1 avec 2x9x4x6 valeurs
-  a4.resize(2, 9, 4, 6);
+  a4.resizeDestructive(2, 9, 4, 6);
   //![SampleNumArrayResize]
 
   //![SampleNumArrayDeclarationsMemory]