diff options
Diffstat (limited to 'src/backends/neon/workloads')
-rw-r--r-- | src/backends/neon/workloads/NeonConvolution2dWorkload.cpp | 16 |
1 files changed, 15 insertions, 1 deletions
diff --git a/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp b/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp index fce57e62a8..d5716c8014 100644 --- a/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp +++ b/src/backends/neon/workloads/NeonConvolution2dWorkload.cpp @@ -29,6 +29,15 @@ arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo& input, bool isFastMathEnabled, const ActivationDescriptor* activationDescriptor) { + // The implemented workload does support both const and non const + // weights. However, in the case of non const weights we'd have to call + // prepare or configure for each inference which we're not setup to do just yet. + if (!weights.IsConstant()) + { + return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, + "ArmNN NeonConvolution2dWorkload does not support non constant weights."}; + } + const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); const arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.m_DataLayout); @@ -42,7 +51,12 @@ arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo& input, if (descriptor.m_BiasEnabled) { ARMNN_ASSERT(biases.has_value()); - + // Same for bias as weights. We don't currently support non const. + 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); optionalAclBiasesInfo = &aclBiasesInfo; } |