commit fbf0e5bde02c3f6a9f6b840b7565155ba82ccd86
author Teresa Charlin <teresa.charlinreyes@arm.com> Mon Aug 17 01:01:06 2020 +0100
committer Narumol Prangnawarat <narumol.prangnawarat@arm.com> Mon Aug 17 08:05:20 2020 +0000
tree f5feac2dbad1fbfeccf1bd9c3bd226687ba0b40e
parent b74f36a526640bf62ac827ed367d53da9e0a6f76

IVGCVSW-5217 Add ARMNN_NO_DEPRECATE_WARN to layer tests

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I3c2c3d0c5d743b9faf05e6e9bcb4a9c9fd369ebc

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

diff --git a/src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp
index fa7ab90..1ffb34f 100644
--- a/src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -87,8 +87,10 @@
     // Each row is independently softmax'd.
     auto input = MakeTensor<T, n>(inputTensorInfo, armnnUtils::QuantizedVector<T>(inputData, qScale, qOffset));
 
+    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
 
     armnn::SoftmaxQueueDescriptor data;
     data.m_Parameters.m_Beta = beta;
@@ -258,8 +260,10 @@
     LayerTestResult<T, 2> ret(outputTensorInfo);
     auto input = MakeRandomTensor<T, 2>(inputTensorInfo, 0xF00D, 0.0f, 1.0f);
 
+    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
 
     armnn::SoftmaxQueueDescriptor data;
     data.m_Parameters.m_Beta = beta;
@@ -268,9 +272,10 @@
     AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
     AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
 
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
     std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo);
     std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo);
-
+    ARMNN_NO_DEPRECATE_WARN_END
 
     armnn::SoftmaxQueueDescriptor refData = data;
     armnn::WorkloadInfo refInfo = info;