Publishing 2019 R3 content
[platform/upstream/dldt.git] / inference-engine / thirdparty / clDNN / tests / test_cases / convolution_grad_input_gpu_test.cpp
index 6f8b9d4..e725f71 100644 (file)
 ///////////////////////////////////////////////////////////////////////////////////////////////////
 
 #include <gtest/gtest.h>
-#include "api/CPP/memory.hpp"
-#include <api/CPP/input_layout.hpp>
-#include "api/CPP/convolution_grad_input.hpp"
-#include <api/CPP/data.hpp>
-#include <api/CPP/topology.hpp>
-#include <api/CPP/network.hpp>
-#include <api/CPP/engine.hpp>
+#include "api/memory.hpp"
+#include <api/input_layout.hpp>
+#include "api/convolution_grad_input.hpp"
+#include <api/data.hpp>
+#include <api/topology.hpp>
+#include <api/network.hpp>
+#include <api/engine.hpp>
 #include "test_utils/test_utils.h"
-#include "api/CPP/eltwise.hpp"
+#include "api/eltwise.hpp"
 
 using namespace cldnn;
 using namespace tests;
@@ -84,7 +84,6 @@ TEST(convolution_grad_input_f32_fw_gpu, basic_wsiz2x2_in2x2x1x2_bfyx_stride2_pad
     }
 }
 
-
 TEST(convolution_grad_input_f32_fw_gpu, basic_wsiz2x2_in2x2x1x2_bfyx_stride2_pad1_output_size) {
     //  Filter : 2x2
     //  Input  : 2x2x1x2