[Paddle Inference]add info in memory_optimize_pass.cc (#54789)

* add info in memory_optimize_pass.cc

paddle/fluid/inference/analysis/passes/memory_optimize_pass.cc

@@ -59,6 +59,7 @@ void MemoryOptimizePass::CollectLifeCycle(
     std::unordered_map<std::string, lifecycle_t>* lifecycles,
     int sort_kind) const {
   int max_lifecycle = 0;
+  double persis_byte = 0;
   for (auto* op_node : framework::ir::TopologyVarientSort(
            *graph, static_cast<framework::ir::SortKind>(sort_kind))) {
     if (!op_node->IsOp()) continue;
@@ -80,7 +81,28 @@ void MemoryOptimizePass::CollectLifeCycle(
       // Normal operators.
       for (const Node* node : requires) {
         if (!node->Var()) continue;
-        if (node->Var()->Persistable()) continue;
+        if (node->Var()->Persistable()) {
+          // "Getting 'tensor_desc' is not supported by the fetch type
+          // variable."
+          bool is_break = false;
+          for (auto op_op : node->inputs) {
+            if (op_op->Name() == "fetch") is_break = true;
+          }
+          if (is_break) continue;
+
+          auto in_shape = node->Var()->GetShape();
+          for (auto i : in_shape) {
+            CHECK_GT(i, 0);
+          }
+          auto var_bytes = std::accumulate(in_shape.begin(),
+                                           in_shape.end(),
+                                           (int64_t)1,
+                                           std::multiplies<int64_t>());
+          persis_byte +=
+              paddle::framework::SizeOfType(node->Var()->GetDataType()) *
+              var_bytes;
+          continue;
+        }
         std::string var = node->Name();
         if (!lifecycles->count(var)) {
           (*lifecycles)[var] = std::make_pair(max_lifecycle, max_lifecycle);
@@ -93,6 +115,8 @@ void MemoryOptimizePass::CollectLifeCycle(
 
     ++max_lifecycle;
   }
+  LOG(INFO) << "The persistable params in main graph are : "
+            << (persis_byte / (1 << 20)) << "MB";
 }
 
 void MemoryOptimizePass::CollectVarMemorySize(