diff options
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/backends/neon/workloads/NeonTransposeConvolution2dWorkload.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/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp b/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp index c62f71948c..ffca2076fe 100644 --- a/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp +++ b/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp @@ -38,7 +38,7 @@ arm_compute::Status NeonTransposeConvolution2dWorkloadValidate(const TensorInfo& if (descriptor.m_BiasEnabled) { - BOOST_ASSERT(biases.has_value()); + ARMNN_ASSERT(biases.has_value()); aclBiasesInfo = BuildArmComputeTensorInfo(biases.value(), descriptor.m_DataLayout); optionalAclBiasesInfo = &aclBiasesInfo; @@ -81,7 +81,7 @@ NeonTransposeConvolution2dWorkload::NeonTransposeConvolution2dWorkload( m_Layer = std::make_unique<arm_compute::NEDeconvolutionLayer>(memoryManager); m_Layer->configure(&input, m_KernelTensor.get(), m_BiasTensor.get(), &output, padStrideInfo); - BOOST_ASSERT(m_Layer); + ARMNN_ASSERT(m_Layer); InitializeArmComputeTensorData(*m_KernelTensor, m_Data.m_Weight); |