diff --git a/paddle/fluid/inference/analysis/passes/convert_to_mixed_precision.cc b/paddle/fluid/inference/analysis/passes/convert_to_mixed_precision.cc
index 1f7b83504d04e57ac848c862572a8b6213c17f96..e9b188d78f16d970b49bb16cc36c402a636bc68b 100644
--- a/paddle/fluid/inference/analysis/passes/convert_to_mixed_precision.cc
+++ b/paddle/fluid/inference/analysis/passes/convert_to_mixed_precision.cc
@@ -111,7 +111,7 @@ class ConvertToMixedPrecisionPass {
         black_list_(black_list),
         place_(paddle::CPUPlace()),
         executor_(place_) {
-    black_list_.insert("assign");
+    // black_list_.insert("assign");
     black_list_.insert("fill_constant");
     black_list_.insert("assign_value");
     black_list_.insert("eye");
@@ -416,8 +416,7 @@ void ConvertToMixedPrecisionPass::LoadAndPrepare() {
 
 void ConvertToMixedPrecisionPass::FindVarsInMultiBlock() {
   std::unordered_set<std::string> all_var_names_set;
-  std::vector<std::unordered_set<std::string>> block_var_names_set(
-      program_desc_->Size());
+  std::vector<std::set<std::string>> block_var_names_set(program_desc_->Size());
   for (BlockID idx = 0; idx < program_desc_->Size(); ++idx) {
     for (auto* op : program_desc_->Block(idx).AllOps()) {
       const auto& in_names = op->InputArgumentNames();
@@ -449,7 +448,7 @@ void ConvertToMixedPrecisionPass::FindVarsInMultiBlock() {
 
       for (const auto& name : vars_in_multi_block) {
         vars_in_multi_block_with_pair_.emplace(
-            name, std::make_pair(VarType::FP32, idx));
+            name, std::make_pair(VarType::Type(), idx));
       }
     }
   }
@@ -612,7 +611,7 @@ void ConvertToMixedPrecisionPass::ConvertTensorDtype(BlockID block_idx) {
 
         if (!has_float_input) {
           support_precision = false;
-          VLOG(2) << " op doesn't has float input and output, just skip.";
+          VLOG(2) << " op doesn't has float input, just skip.";
         }
       }
       VLOG(2) << "op type: " << op_type