fix when Batchnorm's output is 0,1,2,4, fission doesn't work

mindspore/ccsrc/pre_activate/ascend/ascend_backend_optimization.cc

@@ -99,6 +99,7 @@ namespace {
 void AddAscendBackendOptionalIRFusion(PassManager *ir_fusion_pm) {
   MS_EXCEPTION_IF_NULL(ir_fusion_pm);
   ir_fusion_pm->AddPass(std::make_shared<BatchNormBertFission>());
+  ir_fusion_pm->AddPass(std::make_shared<SingleBatchNormFission>());
   ir_fusion_pm->AddPass(std::make_shared<SquareSumFusion>());
   ir_fusion_pm->AddPass(std::make_shared<ClipByNormNoDivSquareSumFusion>());
   ir_fusion_pm->AddPass(std::make_shared<LambUpdateWithLRRuleFusion>());
@@ -225,7 +226,6 @@ void AscendBackendIRFusionOptimization(const std::shared_ptr<session::KernelGrap
     ir_fusion_pm->AddPass(std::make_shared<FusedBatchNormFusion>());
     ir_fusion_pm->AddPass(std::make_shared<FusedBatchNormMixPrecisionFusion0>());
     ir_fusion_pm->AddPass(std::make_shared<FusedBatchNormMixPrecisionFusion1>());
-    ir_fusion_pm->AddPass(std::make_shared<SingleBatchNormFission>());
   }
   ir_fusion_pm->AddPass(std::make_shared<AddMemcpyAsync>());
   ir_fusion_pm->AddPass(std::make_shared<InsertPadForNMSWithMask>());

mindspore/ccsrc/pre_activate/ascend/ir_fission/single_batch_norm_fission.cc

@@ -24,7 +24,7 @@ namespace mindspore {
 namespace opt {
 namespace {
 const std::vector<int> kOutputIndex{0, 1, 2, 3, 4};
-constexpr size_t kBatchNormRealOutputNum = 5;
+constexpr size_t kBatchNormLeastOutputNum = 1;
 constexpr size_t kBatchNormRealInputNum = 3;
 
 bool GetBatchNormOutputs(const FuncGraphPtr &func_graph, const AnfNodePtr &bn, std::vector<AnfNodePtr> *bn_outputs) {
@@ -56,7 +56,7 @@ bool GetBatchNormOutputs(const FuncGraphPtr &func_graph, const AnfNodePtr &bn, s
     bn_outputs->push_back(output);
     output_num++;
   }
-  return output_num == kBatchNormRealOutputNum;
+  return output_num > kBatchNormLeastOutputNum;
 }
 
 AnfNodePtr CreateBNTrainingReduce(const FuncGraphPtr &func_graph, const AnfNodePtr &bn) {