Enabel memory optimize pass although MkLDNN is enabled (#53615)

paddle/fluid/inference/api/analysis_config.cc

@@ -968,23 +968,9 @@ void AnalysisConfig::Update() {
 #endif
   }
 
-  // TODO(inference): When we enable memory_optimize and mkldnn, PaddleSeg model
-  // fail.
   if (enable_memory_optim_) {
-#ifdef PADDLE_WITH_MKLDNN
-    if (use_mkldnn_) {
-      enable_memory_optim_ = false;
-      LOG_FIRST_N(WARNING, 1)
-          << "It is detected that mkldnn and memory_optimize_pass are enabled "
-             "at the same time, but they are not supported yet. Currently, "
-             "memory_optimize_pass is explicitly disabled";
-    } else {
     pass_builder()->AppendAnalysisPass("memory_optimize_pass");
   }
-#else
-    pass_builder()->AppendAnalysisPass("memory_optimize_pass");
-#endif
-  }
 
   if (use_lite_) {
 #ifndef PADDLE_WITH_LITE

paddle/phi/kernels/onednn/conv_handler.h

@@ -18,7 +18,9 @@
 #include "paddle/phi/backends/onednn/onednn_reuse.h"
 #include "paddle/phi/core/expect.h"
 #include "paddle/phi/core/macros.h"
+#include "paddle/phi/core/tensor_utils.h"
 #include "paddle/phi/kernels/cpu/conv_util.h"
+
 namespace phi {
 namespace onednn {
 
@@ -743,17 +745,9 @@ class ConvOneDNNHandlerT
   std::shared_ptr<dnnl::memory> AcquireDstMemoryWithResidual(
       phi::DenseTensor* output, const phi::DenseTensor* residual_param) {
     std::shared_ptr<dnnl::memory> dst_memory_p;
-    if (residual_param->mem_desc() != this->fwd_pd_->dst_desc()) {
     auto residual_memory_p = this->AcquireResidualMemory(residual_param);
     dst_memory_p = this->template AcquireDstMemory<T_out>(output);
     this->AcquireReorder(residual_memory_p, dst_memory_p);
-    } else {
-      // Changing ShareDataWith to TensorCopy results in performance drop
-      // on ResNet architectures
-      // (https://github.com/PaddlePaddle/Paddle/issues/22964)
-      output->ShareDataWith(*residual_param);
-      dst_memory_p = this->template AcquireDstMemory<T_out>(output);
-    }
     return dst_memory_p;
   }
 };