Publishing 2019 R1 content

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

diff --git a/inference-engine/thirdparty/clDNN/tests/test_cases/fully_connected_grad_weights_gpu_test.cpp b/inference-engine/thirdparty/clDNN/tests/test_cases/fully_connected_grad_weights_gpu_test.cpp
index 7edb631..b470bda 100644 (file)
--- a/inference-engine/thirdparty/clDNN/tests/test_cases/fully_connected_grad_weights_gpu_test.cpp
+++ b/inference-engine/thirdparty/clDNN/tests/test_cases/fully_connected_grad_weights_gpu_test.cpp
@@ -44,7 +44,7 @@ TEST(fully_connected_grad_weights_gpu, basic_bfyx) {
     //  Input_grad:
     //   1.5   0.75  -2.25  3
 
-    engine engine;
+    const auto& engine = get_test_engine();
     float lr = 0.00001f;
     auto input_grad = memory::allocate(engine, { data_types::f32, format::bfyx, { 1, 1, 4, 1 } });
     auto input = memory::allocate(engine, { data_types::f32, format::bfyx, { 1, 1, 3, 1 } });
@@ -125,7 +125,7 @@ TEST(fully_connected_grad_weights_gpu, basic_bfyx_b8) {
     //   1.5   0.75  -2.25  3
     //   1   1  1  1
 
-    engine engine;
+    const auto& engine = get_test_engine();
     float lr = 0.00001f;
     auto input_grad = memory::allocate(engine, { data_types::f32, format::bfyx,{ 8, 1, 4, 1 } });
     auto input = memory::allocate(engine, { data_types::f32, format::bfyx,{ 8, 1, 3, 1 } });
@@ -206,7 +206,7 @@ TEST(fully_connected_grad_weights_gpu, basic_bfyx_no_bias) {
     //  Input_grad:
     //   1.5   0.75  -2.25  3
 
-    engine engine;
+    const auto& engine = get_test_engine();
     float lr = 0.00001f;
     auto input_grad = memory::allocate(engine, { data_types::f32, format::bfyx,{ 1, 1, 4, 1 } });
     auto input = memory::allocate(engine, { data_types::f32, format::bfyx,{ 1, 1, 3, 1 } });