fix fp32 init regression for se-resnext50 caused by dwc

paddle/fluid/operators/conv_mkldnn_op.cc

@@ -378,20 +378,27 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
 
     std::shared_ptr<mkldnn::convolution_forward> conv_p;
     std::shared_ptr<mkldnn::memory> src_memory_p;
+    std::shared_ptr<mkldnn::memory> user_src_memory_p;
     std::shared_ptr<mkldnn::memory> dst_memory_p;
     std::vector<primitive> pipeline;
     
     auto prim_key = key + "@conv_p";
     auto dst_key = key + "@dst_mem_p";
     auto src_key = key + "@src_mem_p";
+    auto user_src_key = key + "@user_src_mem_p";
+    auto src_reorder_key = key + "@src_mem_p" + "reorder_p";
     conv_p = std::static_pointer_cast<mkldnn::convolution_forward>(dev_ctx.GetBlob(prim_key));
+    auto src_memory_reorder_p = std::static_pointer_cast<mkldnn::memory>(dev_ctx.GetBlob(src_reorder_key));
     src_memory_p = std::static_pointer_cast<mkldnn::memory>(dev_ctx.GetBlob(src_key));
-    dst_memory_p = std::static_pointer_cast<mkldnn::memory>(dev_ctx.GetBlob(dst_key));
-    
-    if (src_memory_p) {
+    if(src_memory_reorder_p){
+      user_src_memory_p = std::static_pointer_cast<mkldnn::memory>(dev_ctx.GetBlob(user_src_key));
+      user_src_memory_p->set_data_handle(to_void_cast<T>(input_data));
+    } else if(src_memory_p){
       src_memory_p->set_data_handle(to_void_cast<T>(input_data));
     }
     
+    dst_memory_p = std::static_pointer_cast<mkldnn::memory>(dev_ctx.GetBlob(dst_key));
+    
     std::shared_ptr<mkldnn::convolution_forward::primitive_desc> conv_pd;
     conv_pd = std::static_pointer_cast<mkldnn::convolution_forward::primitive_desc>(dev_ctx.GetBlob(key_conv_pd));
     std::shared_ptr<ConvMKLDNNHandler> handler;
@@ -414,7 +421,6 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
               residual_data_tz, residual_data_type, residual_param->format());
           auto user_residual_memory_p = handler->AcquireResidualDataMemory(
               user_residual_md, to_void_cast<T>(residual_param_data));
-    
           dst_memory_p = handler->AcquireDstMemoryFromResidualDataMemory(
               user_residual_memory_p, to_void_cast<T>(output_data), pipeline);
         } else {
@@ -462,11 +468,11 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
               bias_tz, platform::MKLDNNGetDataType<T>(), memory::format::x);
           conv_pd = ConvFwdPrimitiveDesc(src_md, weights_md, bias_md, dst_md,
                                          strides, paddings, mkldnn_engine,
-                                         fuse_relu, fuse_residual_conn);
+                                         fuse_relu, fuse_residual_conn, is_test);
         } else {
           conv_pd =
               ConvFwdPrimitiveDesc(src_md, weights_md, dst_md, strides, paddings,
-                                   mkldnn_engine, fuse_relu, fuse_residual_conn);
+                                   mkldnn_engine, fuse_relu, fuse_residual_conn, is_test);
         }
         // Save conv_pd/src_memory/weights_memory for backward pass
         dev_ctx.SetBlob(key_conv_pd, conv_pd);
@@ -474,7 +480,7 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
         handler.reset(new ConvMKLDNNHandler(conv_pd, dev_ctx, mkldnn_engine, key));
 
         // create mkldnn memory from input tensors (data/weights)
-        auto user_src_memory_p =
+        user_src_memory_p =
             handler->AcquireSrcMemory(user_src_md, to_void_cast<T>(input_data));
         auto user_weights_memory_p = handler->AcquireWeightsMemory(
             user_weights_md, to_void_cast<float>(filter_data));
@@ -508,7 +514,6 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
                 residual_data_tz, residual_data_type, residual_param->format());
             auto user_residual_memory_p = handler->AcquireResidualDataMemory(
                 user_residual_md, to_void_cast<T>(residual_param_data));
-
             dst_memory_p = handler->AcquireDstMemoryFromResidualDataMemory(
                 user_residual_memory_p, to_void_cast<T>(output_data), pipeline);
           } else {
@@ -547,6 +552,9 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
         output->set_layout(DataLayout::kMKLDNN);
         output->set_format(GetMKLDNNFormat(*dst_memory_p));
       } else {
+        if(src_memory_reorder_p){
+          pipeline.push_back(*src_memory_reorder_p);
+        } 
         pipeline.push_back(*conv_p);
         stream(stream::kind::eager).submit(pipeline).wait();