diff options
| -rw-r--r-- | src/backends/neon/workloads/NeonConvolution2dWorkload.cpp | 8 |
1 files changed, 8 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp b/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp index 3e846fe05f..ae13b970c9 100644 --- a/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp +++ b/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp @@ -47,6 +47,12 @@ arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo& input, return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, "ArmNN NeonConvolution2dWorkload has empty bias value."}; } + // There's currently a problem with non const bias, so we'll explicitly block it here. + if (!biases.value().IsConstant()) + { + return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, + "ArmNN NeonConvolution2dWorkload does not support non constant bias."}; + } aclBiasesInfo = BuildArmComputeTensorInfo(biases.value(), descriptor.m_DataLayout); aclBiasesInfo.set_are_values_constant(biases.value().IsConstant()); optionalAclBiasesInfo = &aclBiasesInfo; @@ -95,6 +101,8 @@ NeonConvolution2dWorkload::NeonConvolution2dWorkload( m_BiasTensor = std::make_unique<arm_compute::Tensor>(); BuildArmComputeTensor(*m_BiasTensor, info.m_InputTensorInfos[2], m_Data.m_Parameters.m_DataLayout); m_BiasTensor->info()->set_are_values_constant(info.m_InputTensorInfos[2].IsConstant()); + // We assume here that NeonConvolution2dWorkloadValidate has been called before the constructor. + ARMNN_ASSERT(info.m_InputTensorInfos[2].IsConstant() == true); } arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(m_Data.m_Parameters); |