change std::cout to log(INFO), vlog (#22316) (#22337)

paddle/fluid/framework/ir/mkldnn/conv_elementwise_add_mkldnn_fuse_pass.cc

@@ -332,7 +332,7 @@ void ResidualConnectionMKLDNNFusePass::ApplyImpl(graph_ptr graph) const {
       FuseConvAsX(name_scope_,
                   FuseProjectionConv(name_scope_, std::make_pair(graph, 0))));
 
-  std::cout << "Fused graph " << fused_graph_with_stats.second << std::endl;
+  LOG(INFO) << "Fused graph " << fused_graph_with_stats.second << "\n";
   AddStatis(fused_graph_with_stats.second);
 }
 }  // namespace ir

paddle/fluid/framework/ir/mkldnn/cpu_quantize_pass_tester.cc

@@ -431,7 +431,7 @@ void MainTestReshape(const ProgramDesc& prog, int transpose_count,
       } else if (op->Type() == "dequantize") {
         dequantize_nodes_count++;
         auto op_name = op->GetAttrIfExists<std::string>("name");
-        std::cout << op_name << " \n";
+        VLOG(3) << op_name << "\n";
         if (op_name != "Dequantize1") {
           dequant_scale = boost::get<float>(op->GetAttr("Scale"));
           EXPECT_EQ(dequant_scale, scale)

paddle/fluid/operators/fused/fused_embedding_fc_lstm_op.cc

@@ -328,7 +328,7 @@ class FusedEmbeddingFCLSTMKernel : public framework::OpKernel<T> {
     INIT_VEC_FUNC
     INIT_BASE_INPUT_DATAS
 
-    //  std::cout << "====> SeqCompute" << std::endl;
+    // log(INFO) << "====> SeqCompute" << "\n";
     auto ids_lod = ids->lod();
     const int total_T = ids_dims[0];
     const int N = ids_lod[0].size() - 1;