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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/ConvertFp16ToFp32TestImpl.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/ConvertFp16ToFp32TestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp index 8b3bbd82e2..fa2341e3a4 100644 --- a/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.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 // @@ -31,10 +31,10 @@ LayerTestResult<float, 4> SimpleConvertFp16ToFp32Test( ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f, 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f }); - + 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::ConvertFp16ToFp32QueueDescriptor data; armnn::WorkloadInfo info; AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |