Remove additional function of the code

Author: mozga-intel

paddle/fluid/framework/data_layout_transform.cc

@@ -147,9 +147,9 @@ void TransDataLayoutFromMKLDNN(const OpKernelType& kernel_type_for_var,
                  "Input tensor type is not supported: ", in.type().name());
   memory::data_type out_type = in_type;
 
-  auto in_format = MKLDNNFormatForSize(in_tz.size(), in.format());
+  auto in_format = platform::MKLDNNFormatForSize(in_tz.size(), in.format());
   auto out_format =
-      MKLDNNFormatForSize(in_tz.size(), ToMKLDNNFormat(out_layout));
+      platform::MKLDNNFormatForSize(in_tz.size(), ToMKLDNNFormat(out_layout));
 
   void* in_data = GetDataFromTensor(in, in_type);
 

paddle/fluid/framework/data_layout_transform.h

@@ -62,12 +62,6 @@ inline MKLDNNDataType ToMKLDNNDataType(const std::type_index type) {
   return MKLDNNDataType::data_undef;
 }
 
-inline MKLDNNFormat MKLDNNFormatForSize(size_t dims_size,
-                                        MKLDNNFormat default_format) {
-  return (dims_size == 1
-              ? mkldnn::memory::format::x
-              : dims_size == 2 ? mkldnn::memory::format::nc : default_format);
-}
 #endif
 
 void TransDataLayoutFromMKLDNN(const OpKernelType& kernel_type_for_var,

paddle/fluid/framework/data_transform.cc

@@ -18,6 +18,10 @@ limitations under the License. */
 #include "paddle/fluid/framework/data_layout_transform.h"
 #include "paddle/fluid/framework/data_type_transform.h"
 
+#ifdef PADDLE_WITH_MKLDNN
+#include "paddle/fluid/platform/mkldnn_helper.h"
+#endif
+
 namespace paddle {
 namespace framework {
 
@@ -48,8 +52,8 @@ void DataTransform(const OpKernelType& expected_kernel_type,
         // Case1 - transform from Non-MKLDNN OPKernel to MKLDNN OPKernel
         // Just set layout/format. No real transform occur
 
-        auto out_format =
-            MKLDNNFormatForSize(in.dims().size(), ToMKLDNNFormat(lin));
+        auto out_format = platform::MKLDNNFormatForSize(in.dims().size(),
+                                                        ToMKLDNNFormat(lin));
 
         out.ShareDataWith(input_tensor);
         out.set_layout(DataLayout::kMKLDNN);