fix gatherv2 and dataset bug

mindspore/ccsrc/parallel/step_parallel.cc

@@ -618,19 +618,11 @@ void StepReplaceGraph(const ReplaceGraphPtr &replace_graph, const CNodePtr &node
   for (auto &replace_input : replace_graph->first) {
     auto pre_node = node->input(IntToSize(replace_input.second));
     manager->SetEdge(replace_input.first, 1, pre_node);
-    auto replace_input_cnode = replace_input.first->cast<CNodePtr>();
-    MS_EXCEPTION_IF_NULL(replace_input_cnode);
-    (void)replace_input_cnode->set_operator_info(node->operator_info());
-    replace_input_cnode->set_in_forward_flag(true);  // mark this new cnode is forward node
   }
   //  "(void)manager->Replace(replace_graph->first, pre_node);" can not be called
   auto replace_output = replace_graph->second;
   MS_EXCEPTION_IF_NULL(replace_output);
   (void)manager->Replace(node, replace_output);
-  CNodePtr replace_output_cnode = replace_graph->second->cast<CNodePtr>();
-  MS_EXCEPTION_IF_NULL(replace_output_cnode);
-  (void)replace_output_cnode->set_operator_info(node->operator_info());
-  replace_output_cnode->set_in_forward_flag(true);  // mark this new cnode is forward node
 }
 
 int32_t GetTupleGetItemIndex(const CNodePtr &cnode) {
@@ -1994,14 +1986,27 @@ void ParallelCommunication(const FuncGraphPtr &root, const std::vector<AnfNodePt
         BackwardCommunication(distribute_operator, cnode, sens_loss_pairs);
       }
 
-      // StepReplace
-      StepReplace(distribute_operator, cnode);
-
       HandleSpecialNode(distribute_operator, cnode);
     } else if (IsValueNode<Tensor>(node)) {
       StepSplitTensor(node, manager);
     }
   }
+
+  for (auto &node : all_nodes) {
+    MS_EXCEPTION_IF_NULL(node);
+    if (node->isa<CNode>()) {
+      auto cnode = node->cast<CNodePtr>();
+      if (!IsValueNode<Primitive>(cnode->input(0))) {
+        continue;
+      }
+      OperatorInfoPtr distribute_operator = GetDistributeOperator(cnode);
+      if (distribute_operator == nullptr) {
+        continue;
+      }
+      // StepReplace
+      StepReplace(distribute_operator, cnode);
+    }
+  }
 }
 
 namespace {

mindspore/train/dataset_helper.py

@@ -83,12 +83,6 @@ class _DatasetIter:
         self.dataset = dataset
         dataset_types, dataset_shapes = _get_types_and_shapes(dataset)
         self.dataset_types, self.dataset_shapes = dataset_types, dataset_shapes
-        # for self._parallel_mode equal to semi_auto_parallel or auto_parallel, use a complete tensor to
-        # compile, and slice tensor to run. The batch dimension of tensors for compile is device_number
-        # times the batch dimension of tensors for run
-        if _get_parallel_mode() in (ParallelMode.SEMI_AUTO_PARALLEL, ParallelMode.AUTO_PARALLEL):
-            device_num = _get_device_num()
-            self.dataset_shapes = _to_full_shapes(dataset_shapes, device_num)
 
     def __iter__(self):
         self.ind = 0
@@ -119,6 +113,12 @@ class _DatasetIterMSLoopSink(_DatasetIter):
     def __init__(self, dataset):
         super(_DatasetIterMSLoopSink, self).__init__(dataset)
         self.loop_count = self.get_loop_count(dataset)
+        # for self._parallel_mode equal to semi_auto_parallel or auto_parallel, use a complete tensor to
+        # compile, and slice tensor to run. The batch dimension of tensors for compile is device_number
+        # times the batch dimension of tensors for run. Now only support LoopSink.
+        if _get_parallel_mode() in (ParallelMode.SEMI_AUTO_PARALLEL, ParallelMode.AUTO_PARALLEL):
+            device_num = _get_device_num()
+            self.dataset_shapes = _to_full_shapes(self.dataset_shapes, device_num)
 
         def op():
             return tuple()

tests/ut/python/parallel/test_gather_v2.py

@@ -170,4 +170,3 @@ def test_gatherv2_auto1():
     x = Tensor(np.ones([64, 32]), dtype=ms.float32)
     y = Tensor(np.ones([64, 64, 64]), dtype=ms.float32)
     _executor.compile(net, x, y)
-