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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/ArgMinMaxLayer.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/ArgMinMaxLayer.cpp')
| -rw-r--r-- | src/armnn/layers/ArgMinMaxLayer.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/armnn/layers/ArgMinMaxLayer.cpp b/src/armnn/layers/ArgMinMaxLayer.cpp index b67c42b2e4..a9907871be 100644 --- a/src/armnn/layers/ArgMinMaxLayer.cpp +++ b/src/armnn/layers/ArgMinMaxLayer.cpp @@ -34,7 +34,7 @@ ArgMinMaxLayer* ArgMinMaxLayer::Clone(Graph& graph) const std::vector<TensorShape> ArgMinMaxLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const { - BOOST_ASSERT(inputShapes.size() == 1); + ARMNN_ASSERT(inputShapes.size() == 1); TensorShape inputShape = inputShapes[0]; auto inputNumDimensions = inputShape.GetNumDimensions(); @@ -42,7 +42,7 @@ std::vector<TensorShape> ArgMinMaxLayer::InferOutputShapes(const std::vector<Ten auto axis = m_Param.m_Axis; auto unsignedAxis = armnnUtils::GetUnsignedAxis(inputNumDimensions, axis); - BOOST_ASSERT(unsignedAxis <= inputNumDimensions); + ARMNN_ASSERT(unsignedAxis <= inputNumDimensions); // 1D input shape results in scalar output if (inputShape.GetNumDimensions() == 1) @@ -75,7 +75,7 @@ void ArgMinMaxLayer::ValidateTensorShapesFromInputs() auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); - BOOST_ASSERT(inferredShapes.size() == 1); + ARMNN_ASSERT(inferredShapes.size() == 1); ConditionalThrowIfNotEqual<LayerValidationException>( "ArgMinMaxLayer: TensorShape set on OutputSlot does not match the inferred shape.", |