| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClL2NormalizationFloatWorkload.hpp" |
| #include <cl/ClTensorHandle.hpp> |
| #include <armnn/backends/TensorHandle.hpp> |
| #include <aclCommon/ArmComputeUtils.hpp> |
| |
| #include "ClWorkloadUtils.hpp" |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| arm_compute::Status ClL2NormalizationWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const L2NormalizationDescriptor& descriptor) |
| { |
| const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); |
| const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); |
| |
| int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0; |
| |
| return arm_compute::CLL2NormalizeLayer::validate(&aclInput, &aclOutput, axis, descriptor.m_Eps); |
| } |
| |
| ClL2NormalizationFloatWorkload::ClL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor& descriptor, |
| const WorkloadInfo& info, |
| const arm_compute::CLCompileContext& clCompileContext) |
| : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info) |
| { |
| // Report Profiling Details |
| ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClL2NormalizationFloatWorkload_Construct", |
| descriptor.m_Parameters, |
| info, |
| this->GetGuid()); |
| |
| m_Data.ValidateInputsOutputs("ClL2NormalizationFloatWorkload", 1, 1); |
| |
| arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); |
| input.info()->set_data_layout(aclDataLayout); |
| output.info()->set_data_layout(aclDataLayout); |
| |
| int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0; |
| |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClL2NormalizationFloatWorkload_configure"); |
| m_Layer.configure(clCompileContext, &input, &output, axis, m_Data.m_Parameters.m_Eps); |
| } |
| } |
| |
| void ClL2NormalizationFloatWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClL2NormalizationFloatWorkload_Execute", this->GetGuid()); |
| RunClFunction(m_Layer, CHECK_LOCATION()); |
| } |
| |
| void ClL2NormalizationFloatWorkload::ReplaceInputTensorHandle(ITensorHandle* tensorHandle, unsigned int slot) |
| { |
| ITensorHandle* backupHandle = this->m_Data.m_Inputs[slot]; |
| this->m_Data.m_Inputs[slot] = tensorHandle; |
| try |
| { |
| Reconfigure(); |
| } |
| catch(armnn::UnimplementedException& e) |
| { |
| // Cannot reconfigure, revert the slot back and throw the exception. |
| this->m_Data.m_Inputs[slot] = backupHandle; |
| throw e; |
| } |
| } |
| |
| // Replace output tensor handle with the given TensorHandle |
| void ClL2NormalizationFloatWorkload::ReplaceOutputTensorHandle(ITensorHandle* tensorHandle, unsigned int slot) |
| { |
| ITensorHandle* backupHandle = this->m_Data.m_Inputs[slot]; |
| this->m_Data.m_Inputs[slot] = tensorHandle; |
| try |
| { |
| Reconfigure(); |
| } |
| catch(armnn::UnimplementedException& e) |
| { |
| // Cannot reconfigure, revert the slot back and throw the exception. |
| this->m_Data.m_Inputs[slot] = backupHandle; |
| throw e; |
| } |
| } |
| |
| void ClL2NormalizationFloatWorkload::Reconfigure() |
| { |
| throw armnn::UnimplementedException("Reconfigure not implemented for this workload"); |
| } |
| |
| } //namespace armnn |