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| author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2020-08-17 01:01:06 +0100 |
|---|---|---|
| committer | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2020-08-17 08:05:20 +0000 |
| commit | fbf0e5bde02c3f6a9f6b840b7565155ba82ccd86 (patch) | |
| tree | f5feac2dbad1fbfeccf1bd9c3bd226687ba0b40e /src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp | |
| parent | b74f36a526640bf62ac827ed367d53da9e0a6f76 (diff) | |
| download | armnn-fbf0e5bde02c3f6a9f6b840b7565155ba82ccd86.tar.gz | |
IVGCVSW-5217 Add ARMNN_NO_DEPRECATE_WARN to layer tests
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I3c2c3d0c5d743b9faf05e6e9bcb4a9c9fd369ebc
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp | 9 |
1 files changed, 7 insertions, 2 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SoftmaxTestImpl.cpp index fa7ab90b16..1ffb34f932 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 @@ LayerTestResult<T, n> SimpleSoftmaxBaseTestImpl( // 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> CompareSoftmaxTestImpl( 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 @@ LayerTestResult<T, 2> CompareSoftmaxTestImpl( 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; |