diff options
Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClAdditionFloat32Workload.cpp')
| -rw-r--r-- | src/armnn/backends/ClWorkloads/ClAdditionFloat32Workload.cpp | 57 |
1 files changed, 57 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClAdditionFloat32Workload.cpp b/src/armnn/backends/ClWorkloads/ClAdditionFloat32Workload.cpp new file mode 100644 index 0000000000..153167f172 --- /dev/null +++ b/src/armnn/backends/ClWorkloads/ClAdditionFloat32Workload.cpp @@ -0,0 +1,57 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "ClAdditionFloat32Workload.hpp" + +#include "backends/ClTensorHandle.hpp" +#include "backends/CpuTensorHandle.hpp" +#include "backends/ArmComputeTensorUtils.hpp" + +namespace armnn +{ +using namespace armcomputetensorutils; + +ClAdditionFloat32Workload::ClAdditionFloat32Workload(const AdditionQueueDescriptor& descriptor, + const WorkloadInfo& info) + : Float32Workload<AdditionQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("ClAdditionFloat32Workload", 2, 1); + + arm_compute::ICLTensor& input0 = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ICLTensor& input1 = static_cast<IClTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); + arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + m_Layer.configure(&input0, &input1, &output, ms_AclConvertPolicy); +} + +void ClAdditionFloat32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::GpuAcc, "ClAdditionFloat32Workload_Execute"); + m_Layer.run(); +} + +bool ClAdditionFloat32Workload::IsSupported(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output, + std::string* reasonIfUnsupported) +{ + 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 = decltype(m_Layer)::validate(&aclInput0Info, + &aclInput1Info, + &aclOutputInfo, + ms_AclConvertPolicy); + + const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK); + if (!supported && reasonIfUnsupported) + { + *reasonIfUnsupported = aclStatus.error_description(); + } + + return supported; +} + +} //namespace armnn
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