commit f500d6c22c7799dcc6b057d560fb88947ac63e6a
author Keith Davis <keith.davis@arm.com> Mon Aug 31 08:32:55 2020 +0100
committer KeithARM <keith.davis@arm.com> Mon Aug 31 13:37:55 2020 +0000
tree b81fcc7e1c35120916119a114a040cce3108ab45
parent 7faf9a88637afae76373a439d7eca3507b77c98c

IVGCVSW-5249 Use CreateTensorHandle from ITensorHandleFactory in the test for all layers between C-D

Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I9583adf50e67e63e73833f400d1c50fbff57f60c

src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp

diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
index c721304..db83259 100644
--- a/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/ConvertFp32ToBf16TestImpl.cpp
@@ -12,7 +12,8 @@
 
 LayerTestResult<armnn::BFloat16, 4> ConvertFp32ToBf16Test(
     armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
 {
     IgnoreUnused(memoryManager);
 
@@ -53,10 +54,10 @@
 
     LayerTestResult<armnn::BFloat16, 4> ret(outputTensorInfo);
     ret.outputExpected = MakeTensor<armnn::BFloat16, 4>(outputTensorInfo, outputValues);
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-    ARMNN_NO_DEPRECATE_WARN_END
+
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
+
     armnn::ConvertFp32ToBf16QueueDescriptor data;
     armnn::WorkloadInfo info;
     AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());