| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClSpaceToDepthWorkload.hpp" |
| #include "ClWorkloadUtils.hpp" |
| |
| #include <aclCommon/ArmComputeUtils.hpp> |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| #include <armnn/backends/TensorHandle.hpp> |
| #include <cl/ClTensorHandle.hpp> |
| |
| #include <armnn/utility/NumericCast.hpp> |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| ClSpaceToDepthWorkload::ClSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor& descriptor, |
| const WorkloadInfo& info, |
| const arm_compute::CLCompileContext& clCompileContext) |
| : ClBaseWorkload<SpaceToDepthQueueDescriptor>(descriptor, info) |
| { |
| // Report Profiling Details |
| ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClSpaceToDepthWorkload_Construct", |
| descriptor.m_Parameters, |
| info, |
| this->GetGuid()); |
| m_Data.ValidateInputsOutputs("ClSpaceToDepthWorkload", 1, 1); |
| |
| arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); |
| |
| arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| input.info()->set_data_layout(aclDataLayout); |
| |
| int32_t blockSize = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockSize); |
| |
| arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| output.info()->set_data_layout(aclDataLayout); |
| |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClSpaceToDepthWorkload_configure"); |
| m_Layer.configure(clCompileContext, &input, &output, blockSize); |
| } |
| } |
| |
| void ClSpaceToDepthWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClSpaceToDepthWorkload_Execute", this->GetGuid()); |
| RunClFunction(m_Layer, CHECK_LOCATION()); |
| } |
| |
| arm_compute::Status ClSpaceToDepthWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const SpaceToDepthDescriptor& descriptor) |
| { |
| DataLayout dataLayout = descriptor.m_DataLayout; |
| const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout); |
| |
| int32_t blockSize = armnn::numeric_cast<int32_t>(descriptor.m_BlockSize); |
| |
| const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout); |
| |
| const arm_compute::Status aclStatus = arm_compute::CLSpaceToDepthLayer::validate(&aclInputInfo, |
| &aclOutputInfo, |
| blockSize); |
| return aclStatus; |
| } |
| |
| } //namespace armnn |