| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // See LICENSE file in the project root for full license information. |
| // |
| |
| #include "ClAdditionBaseWorkload.hpp" |
| |
| #include "backends/ClTensorHandle.hpp" |
| #include "backends/CpuTensorHandle.hpp" |
| #include "backends/ArmComputeTensorUtils.hpp" |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| static constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE; |
| |
| template <armnn::DataType... T> |
| ClAdditionBaseWorkload<T...>::ClAdditionBaseWorkload(const AdditionQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : TypedWorkload<AdditionQueueDescriptor, T...>(descriptor, info) |
| { |
| this->m_Data.ValidateInputsOutputs("ClAdditionBaseWorkload", 2, 1); |
| |
| arm_compute::ICLTensor& input0 = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ICLTensor& input1 = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[1])->GetTensor(); |
| arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor(); |
| m_Layer.configure(&input0, &input1, &output, g_AclConvertPolicy); |
| } |
| |
| template <armnn::DataType... T> |
| void ClAdditionBaseWorkload<T...>::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL("ClAdditionBaseWorkload_Execute"); |
| m_Layer.run(); |
| } |
| |
| bool ClAdditionValidate(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| std::string* reasonIfUnsupported) |
| { |
| if (input0.GetDataType() == DataType::QuantisedAsymm8) |
| { |
| // Reject quantised addition for the moment (COMPMID-1385) |
| *reasonIfUnsupported = "Quantised Addition not yet supported"; |
| return false; |
| } |
| |
| const arm_compute::TensorInfo aclInput0Info = BuildArmComputeTensorInfo(input0); |
| const arm_compute::TensorInfo aclInput1Info = BuildArmComputeTensorInfo(input1); |
| const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); |
| |
| const arm_compute::Status aclStatus = arm_compute::CLArithmeticAddition::validate(&aclInput0Info, |
| &aclInput1Info, |
| &aclOutputInfo, |
| g_AclConvertPolicy); |
| |
| const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK); |
| if (!supported && reasonIfUnsupported) |
| { |
| *reasonIfUnsupported = aclStatus.error_description(); |
| } |
| |
| return supported; |
| } |
| |
| } //namespace armnn |
| |
| template class armnn::ClAdditionBaseWorkload<armnn::DataType::Float16, armnn::DataType::Float32>; |
| template class armnn::ClAdditionBaseWorkload<armnn::DataType::QuantisedAsymm8>; |