Publishing 2019 R1 content

[platform/upstream/dldt.git] / inference-engine / thirdparty / clDNN / tests / test_cases / convolution_grad_input_gpu_test.cpp

diff --git a/inference-engine/thirdparty/clDNN/tests/test_cases/convolution_grad_input_gpu_test.cpp b/inference-engine/thirdparty/clDNN/tests/test_cases/convolution_grad_input_gpu_test.cpp
index a3cbc0a..6f8b9d4 100644 (file)
--- a/inference-engine/thirdparty/clDNN/tests/test_cases/convolution_grad_input_gpu_test.cpp
+++ b/inference-engine/thirdparty/clDNN/tests/test_cases/convolution_grad_input_gpu_test.cpp
@@ -48,7 +48,7 @@ TEST(convolution_grad_input_f32_fw_gpu, basic_wsiz2x2_in2x2x1x2_bfyx_stride2_pad
     //  -4    3.5    -0.5   21
     //   12  -18      4     -9
 
-    engine engine;
+    const auto& engine = get_test_engine();
 
     auto input = memory::allocate(engine, { data_types::f32, format::bfyx,{ 2, 1, 2, 2 } });
     auto weights = memory::allocate(engine, { data_types::f32, format::bfyx,{ 1, 1, 2, 2 } });
@@ -103,7 +103,7 @@ TEST(convolution_grad_input_f32_fw_gpu, basic_wsiz2x2_in2x2x1x2_bfyx_stride2_pad
     //  -4    3.5    -0.5   21
     //   12  -18      4     -9
 
-    engine engine;
+    const auto& engine = get_test_engine();
 
     auto input = memory::allocate(engine, { data_types::f32, format::bfyx,{ 2, 1, 2, 2 } });
     auto weights = memory::allocate(engine, { data_types::f32, format::bfyx,{ 1, 1, 2, 2 } });
@@ -139,7 +139,7 @@ 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_fusion) {
+TEST(convolution_grad_input_f32_fw_gpu, DISABLED_basic_wsiz2x2_in2x2x1x2_bfyx_stride2_fusion) {
     //  Filter : 2x2
     //  Input  : 2x2x1x2
     //  Output : 2x2x1x2
@@ -157,7 +157,7 @@ TEST(convolution_grad_input_f32_fw_gpu, basic_wsiz2x2_in2x2x1x2_bfyx_stride2_fus
     //  -4    3.5    -0.5   21
     //   12  -18      4     -9
 
-    engine engine;
+    const auto& engine = get_test_engine();
 
     auto input = memory::allocate(engine, { data_types::f32, format::bfyx,{ 2, 1, 2, 2 } });
     auto weights = memory::allocate(engine, { data_types::f32, format::bfyx,{ 1, 1, 2, 2 } });
@@ -198,8 +198,8 @@ TEST(convolution_grad_input_f32_fw_gpu, basic_wsiz2x2_in2x2x1x2_bfyx_stride2_fus
     auto output_ptr = output_prim.pointer<float>();
 
     std::vector<float> expected_output_vec = {
-        -3.f, 5.5f, 15.f, -14.f,
-        4.5f, 27.f, 11.f, 0.f
+        -3.f, 5.5f, 14.f, -15.f,
+        4.5f, 27.f, 10.f, -1.f
     };
 
     for (unsigned int i = 0; i < expected_output_vec.size(); i++)