Resolve specialize error during transforming after block in PyNative mode.

mindspore/ccsrc/frontend/optimizer/irpass/specialize_transform.h

@@ -23,6 +23,7 @@
 #include <utility>
 #include <unordered_map>
 #include <unordered_set>
+#include <tuple>
 
 #include "frontend/optimizer/irpass.h"
 #include "frontend/optimizer/optimizer.h"
@@ -42,13 +43,13 @@ class SpecializeTransform {
   ~SpecializeTransform() = default;
 
   FuncGraphPtr operator()(const FuncGraphPtr &func_graph, std::vector<FuncGraphPtr> graph_args,
-                          std::vector<PrimitivePtr> prim_args, std::vector<tensor::TensorPtr> value_args) {
+                          std::vector<PrimitivePtr> prim_args, std::vector<tensor::TensorPtr> tensor_value_args) {
     if (cache_.count(func_graph) == 0) {
       cache_[func_graph] = {};
     }
 
     auto &cache = cache_[func_graph];
-    auto key = std::make_pair(graph_args, prim_args);
+    auto key = std::make_tuple(graph_args, prim_args, tensor_value_args);
     if (cache.count(key) == 0) {
       auto mng = func_graph->manager();
       MS_EXCEPTION_IF_NULL(mng);
@@ -70,8 +71,8 @@ class SpecializeTransform {
           (void)mng->Replace(params[i], arg);
           continue;
         }
-        if (value_args[i] != nullptr) {
-          auto &const_tensor = *value_args[i];
+        if (tensor_value_args[i] != nullptr) {
+          auto &const_tensor = *tensor_value_args[i];
           auto const_tensor_ptr = std::make_shared<tensor::Tensor>(const_tensor);
           AnfNodePtr arg = NewValueNode(const_tensor_ptr);
           (void)mng->Replace(params[i], arg);
@@ -87,8 +88,10 @@ class SpecializeTransform {
   }
 
  private:
-  std::unordered_map<FuncGraphPtr,
-                     std::map<std::pair<std::vector<FuncGraphPtr>, std::vector<PrimitivePtr>>, FuncGraphPtr>>
+  std::unordered_map<
+    FuncGraphPtr,
+    std::map<std::tuple<std::vector<FuncGraphPtr>, std::vector<PrimitivePtr>, std::vector<tensor::TensorPtr>>,
+             FuncGraphPtr>>
     cache_;
 };
 }  // namespace internal
@@ -116,7 +119,7 @@ class SpecializeOnGraphArguments : public AnfVisitor {
 
     std::vector<FuncGraphPtr> graph_args;
     std::vector<PrimitivePtr> prim_args;
-    std::vector<tensor::TensorPtr> value_node_args;
+    std::vector<tensor::TensorPtr> tensor_value_args;
     std::vector<AnfNodePtr> new_xs;
     bool hasVNode = false;
     for (size_t i = 1; i < inputs.size(); i++) {
@@ -124,24 +127,24 @@ class SpecializeOnGraphArguments : public AnfVisitor {
         auto fg_vnode = GetValueNode<FuncGraphPtr>(inputs[i]);
         graph_args.push_back(fg_vnode);
         prim_args.emplace_back(nullptr);
-        value_node_args.emplace_back(nullptr);
+        tensor_value_args.emplace_back(nullptr);
         hasVNode = true;
       } else if (IsValueNode<Primitive>(inputs[i])) {
         auto p_vnode = GetValueNode<PrimitivePtr>(inputs[i]);
         graph_args.emplace_back(nullptr);
         prim_args.push_back(p_vnode);
-        value_node_args.emplace_back(nullptr);
+        tensor_value_args.emplace_back(nullptr);
         hasVNode = true;
       } else if (IsValueNode<tensor::Tensor>(inputs[i])) {
         tensor::TensorPtr t_vnode = GetValueNode<tensor::TensorPtr>(inputs[i]);
         graph_args.emplace_back(nullptr);
         prim_args.emplace_back(nullptr);
-        value_node_args.emplace_back(t_vnode);
+        tensor_value_args.emplace_back(t_vnode);
         hasVNode = true;
       } else {
         graph_args.emplace_back(nullptr);
         prim_args.emplace_back(nullptr);
-        value_node_args.emplace_back(nullptr);
+        tensor_value_args.emplace_back(nullptr);
         new_xs.push_back(inputs[i]);
       }
     }
@@ -150,7 +153,7 @@ class SpecializeOnGraphArguments : public AnfVisitor {
       return nullptr;
     }
 
-    auto new_fg = specialize_transform_(inp0_fg, graph_args, prim_args, value_node_args);
+    auto new_fg = specialize_transform_(inp0_fg, graph_args, prim_args, tensor_value_args);
     (void)new_xs.insert(new_xs.begin(), NewValueNode(new_fg));
 
     return node->func_graph()->NewCNode(new_xs);

mindspore/ccsrc/pipeline/jit/static_analysis/evaluator.cc

@@ -17,6 +17,7 @@
 #include "pipeline/jit/static_analysis/evaluator.h"
 
 #include <algorithm>
+#include <utility>
 #include <unordered_set>
 
 #include "ir/func_graph_cloner.h"