James Conroy | d2aa85e | 2019-07-01 17:12:40 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ClSpaceToDepthWorkload.hpp" |
| 7 | #include "ClWorkloadUtils.hpp" |
| 8 | |
| 9 | #include <aclCommon/ArmComputeUtils.hpp> |
| 10 | #include <aclCommon/ArmComputeTensorUtils.hpp> |
| 11 | #include <backendsCommon/CpuTensorHandle.hpp> |
| 12 | #include <cl/ClTensorHandle.hpp> |
| 13 | #include <boost/polymorphic_pointer_cast.hpp> |
| 14 | |
| 15 | namespace armnn |
| 16 | { |
| 17 | using namespace armcomputetensorutils; |
| 18 | |
| 19 | ClSpaceToDepthWorkload::ClSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor& desc, |
| 20 | const WorkloadInfo& info) |
| 21 | : BaseWorkload<SpaceToDepthQueueDescriptor>(desc, info) |
| 22 | { |
| 23 | m_Data.ValidateInputsOutputs("ClSpaceToDepthWorkload", 1, 1); |
| 24 | |
| 25 | arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); |
| 26 | |
| 27 | arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| 28 | input.info()->set_data_layout(aclDataLayout); |
| 29 | |
| 30 | int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockSize); |
| 31 | |
| 32 | arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| 33 | output.info()->set_data_layout(aclDataLayout); |
| 34 | |
| 35 | m_Layer.configure(&input, &output, blockSize); |
| 36 | } |
| 37 | |
| 38 | void ClSpaceToDepthWorkload::Execute() const |
| 39 | { |
| 40 | ARMNN_SCOPED_PROFILING_EVENT_CL("ClSpaceToDepthWorkload_Execute"); |
| 41 | RunClFunction(m_Layer, CHECK_LOCATION()); |
| 42 | } |
| 43 | |
| 44 | arm_compute::Status ClSpaceToDepthWorkloadValidate(const TensorInfo& input, |
| 45 | const TensorInfo& output, |
| 46 | const SpaceToDepthDescriptor& desc) |
| 47 | { |
| 48 | DataLayout dataLayout = desc.m_DataLayout; |
| 49 | const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout); |
| 50 | |
| 51 | int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_BlockSize); |
| 52 | |
| 53 | const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout); |
| 54 | |
| 55 | const arm_compute::Status aclStatus = arm_compute::CLSpaceToDepthLayer::validate(&aclInputInfo, |
| 56 | &aclOutputInfo, |
| 57 | blockSize); |
| 58 | return aclStatus; |
| 59 | } |
| 60 | |
| 61 | } //namespace armnn |