| Ellen Norris-Thompson | 2979457 | 2019-06-26 16:40:36 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "NeonSpaceToDepthWorkload.hpp" |
| 7 | #include "NeonWorkloadUtils.hpp" |
| 8 | #include <ResolveType.hpp> |
| 9 | |
| 10 | namespace armnn |
| 11 | { |
| 12 | |
| 13 | using namespace armcomputetensorutils; |
| 14 | |
| 15 | arm_compute::Status NeonSpaceToDepthWorkloadValidate(const TensorInfo& input, |
| 16 | const TensorInfo& output, |
| 17 | const SpaceToDepthDescriptor& descriptor) |
| 18 | { |
| 19 | DataLayout dataLayout = descriptor.m_DataLayout; |
| 20 | const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, dataLayout); |
| 21 | const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, dataLayout); |
| 22 | |
| 23 | int32_t blockSize = boost::numeric_cast<int32_t>(descriptor.m_BlockSize); |
| 24 | |
| 25 | return arm_compute::NESpaceToDepthLayer::validate(&aclInput, &aclOutput, blockSize); |
| 26 | } |
| 27 | |
| 28 | NeonSpaceToDepthWorkload::NeonSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor& desc, |
| 29 | const WorkloadInfo& info) |
| 30 | : BaseWorkload<SpaceToDepthQueueDescriptor>(desc, info) |
| 31 | { |
| 32 | m_Data.ValidateInputsOutputs("NeonSpaceToDepthWorkload", 1, 1); |
| 33 | |
| 34 | arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); |
| 35 | |
| 36 | arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| 37 | input.info()->set_data_layout(aclDataLayout); |
| 38 | |
| 39 | int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockSize); |
| 40 | |
| 41 | arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| 42 | output.info()->set_data_layout(aclDataLayout); |
| 43 | |
| 44 | m_Layer.reset(new arm_compute::NESpaceToDepthLayer()); |
| 45 | m_Layer->configure(&input, &output, blockSize); |
| 46 | m_Layer->prepare(); |
| 47 | } |
| 48 | |
| 49 | void NeonSpaceToDepthWorkload::Execute() const |
| 50 | { |
| 51 | if (m_Layer) |
| 52 | { |
| 53 | ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToDepthWorkload_Execute"); |
| 54 | m_Layer->run(); |
| 55 | } |
| 56 | } |
| 57 | |
| 58 | } //namespace armnn |