x86 conv3x3s1 winograd43 produce wrong result, revert to the good-old winograd23 version

src/layer/x86/convolution_x86.cpp

@@ -105,8 +105,8 @@ int Convolution_x86::create_pipeline(const Option& opt)
             // conv3x3s1_winograd23_transform_kernel_int8_sse(weight_data, weight_3x3_winograd23_data, num_input, num_output);
             conv3x3s1_winograd43_transform_kernel_int8_sse(weight_data, weight_3x3_winograd23_data, num_input, num_output);
         else
-            // conv3x3s1_winograd23_transform_kernel_sse(weight_data, weight_3x3_winograd23_data, num_input, num_output);
-            conv3x3s1_winograd43_transform_kernel_sse(weight_data, weight_3x3_winograd43_data, num_input, num_output);
+            conv3x3s1_winograd23_transform_kernel_sse(weight_data, weight_3x3_winograd23_data, num_input, num_output);
+//             conv3x3s1_winograd43_transform_kernel_sse(weight_data, weight_3x3_winograd43_data, num_input, num_output);
     }
 
     if (use_int8_inference == false)
@@ -616,8 +616,8 @@ int Convolution_x86::forward(const Mat& bottom_blob, Mat& top_blob, const Option
 
     if (use_winograd3x3 && outw >= 8 && outh >=8)
     {
-        // conv3x3s1_winograd23_sse(bottom_blob_bordered, top_blob, weight_3x3_winograd23_data, bias_data, opt);
-        conv3x3s1_winograd43_sse(bottom_blob_bordered, top_blob, weight_3x3_winograd43_data, bias_data, opt);
+        conv3x3s1_winograd23_sse(bottom_blob_bordered, top_blob, weight_3x3_winograd23_data, bias_data, opt);
+//         conv3x3s1_winograd43_sse(bottom_blob_bordered, top_blob, weight_3x3_winograd43_data, bias_data, opt);
     }
     else
         //conv(bottom_blob_bordered, top_blob, weight_data, bias_data, opt);