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| author | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2020-04-01 16:51:23 +0100 |
|---|---|---|
| committer | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2020-04-06 09:06:01 +0100 |
| commit | ac2770a4bb6461bfbddec928bb6208f26f898f02 (patch) | |
| tree | c72f67f648b7aca2f4bccf69b05d185bf5f9ccad /src/armnn/layers/SliceLayer.cpp | |
| parent | 7ee5d2c3b3cee5a924ed6347fef613ee07b5aca7 (diff) | |
| download | armnn-ac2770a4bb6461bfbddec928bb6208f26f898f02.tar.gz | |
IVGCVSW-4485 Remove Boost assert
* Change boost assert to armnn assert
* Change include file to armnn assert
* Fix ARMNN_ASSERT_MSG issue with multiple conditions
* Change BOOST_ASSERT to BOOST_TEST where appropriate
* Remove unused include statements
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I5d0fa3a37b7c1c921216de68f0073aa34702c9ff
Diffstat (limited to 'src/armnn/layers/SliceLayer.cpp')
| -rw-r--r-- | src/armnn/layers/SliceLayer.cpp | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/src/armnn/layers/SliceLayer.cpp b/src/armnn/layers/SliceLayer.cpp index ec82082c4a..d92ed6fc48 100644 --- a/src/armnn/layers/SliceLayer.cpp +++ b/src/armnn/layers/SliceLayer.cpp @@ -12,7 +12,6 @@ #include <backendsCommon/WorkloadData.hpp> #include <backendsCommon/WorkloadFactory.hpp> -#include <boost/assert.hpp> #include <boost/numeric/conversion/cast.hpp> namespace armnn @@ -40,7 +39,7 @@ void SliceLayer::ValidateTensorShapesFromInputs() auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); - BOOST_ASSERT(inferredShapes.size() == 1); + ARMNN_ASSERT(inferredShapes.size() == 1); ConditionalThrowIfNotEqual<LayerValidationException>( "SliceLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", @@ -51,7 +50,7 @@ void SliceLayer::ValidateTensorShapesFromInputs() std::vector<TensorShape> SliceLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const { IgnoreUnused(inputShapes); - BOOST_ASSERT(inputShapes.size() == 1); + ARMNN_ASSERT(inputShapes.size() == 1); TensorShape outputShape(boost::numeric_cast<unsigned int>(m_Param.m_Size.size()), m_Param.m_Size.data()); |