fix reshape avgpooling and convbiasaddfusion bug

mindspore/lite/src/ops/primitive_c.cc

@@ -399,6 +399,8 @@ std::shared_ptr<PrimitiveC> PrimitiveC::Create(const Primitive &prim, const std:
     return NewPrimitiveC<SoftMax>(prim, inputs, quantType);
   } else if (op_type == "StridedSlice") {
     return NewPrimitiveC<StridedSlice>(prim, inputs, quantType);
+  } else if (op_type == "AvgPool") {
+    return NewPrimitiveC<Pooling>(prim, inputs, quantType);
 
 
 #ifdef SUPPORT_TRAIN

mindspore/lite/src/ops/reshape.cc

@@ -169,7 +169,7 @@ int Reshape::InferShape(std::vector<Tensor *> inputs_, std::vector<Tensor *> out
   std::vector<int> out_shape;
   if (inputs_.size() == kDoubleNum) {
     auto shape_tensor = inputs_.at(1);
-    if (shape_tensor->MutableData() == nullptr) {
+    if (shape_tensor->data_c() == nullptr) {
       MS_LOG(INFO) << "Do infer shape in runtime.";
       return RET_INFER_INVALID;
     }

mindspore/lite/tools/optimizer/fusion/conv_biasadd_fusion.cc

@@ -24,6 +24,7 @@
 #include "utils/utils.h"
 #include "tools/optimizer/common/gllo_utils.h"
 #include "securec/include/securec.h"
+#include "src/ops/add.h"
 
 namespace mindspore::opt {
 namespace {
@@ -151,6 +152,15 @@ const AnfNodePtr ConvBiasaddFusion::Process(const FuncGraphPtr &func_graph, cons
   auto add_node = node->cast<CNodePtr>();
   CheckIfCNodeIsNull(add_node);
   CheckInputSize(add_node, kAddInputsLength);
+  if (GetCNodeType(add_node) == schema::PrimitiveType_Add) {
+    auto primitive_c = GetValueNode<std::shared_ptr<lite::PrimitiveC>>(add_node->input(0));
+    MS_ASSERT(utils::isa<std::shared_ptr<mindspore::lite::Add>>(primitive_c));
+    auto primc = utils::cast<std::shared_ptr<mindspore::lite::Add>>(primitive_c);
+    MS_ASSERT(primc != nullptr);
+    if (primc->GetActivationType() != schema::ActivationType_NO_ACTIVATION) {
+      return add_node;
+    }
+  }
 
   AnfNodePtr conv_node_anf = add_node->input(1);
   CheckIfAnfNodeIsNull(conv_node_anf);