| Mike Kelly | 5685802 | 2020-01-27 12:14:47 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "NeonBatchToSpaceNdWorkload.hpp" |
| 7 | |
| 8 | #include "NeonWorkloadUtils.hpp" |
| 9 | #include <ResolveType.hpp> |
| 10 | |
| 11 | namespace armnn |
| 12 | { |
| 13 | |
| 14 | using namespace armcomputetensorutils; |
| 15 | |
| 16 | arm_compute::Status NeonBatchToSpaceNdWorkloadValidate(const TensorInfo& input, |
| 17 | const TensorInfo& output, |
| 18 | const BatchToSpaceNdDescriptor& desc) |
| 19 | { |
| 20 | const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, desc.m_DataLayout); |
| 21 | const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, desc.m_DataLayout); |
| 22 | |
| 23 | // ArmNN blockShape is [H, W] Cl asks for W, H |
| 24 | int32_t blockHeight = boost::numeric_cast<int32_t>(desc.m_BlockShape[0]); |
| 25 | int32_t blockWidth = boost::numeric_cast<int32_t>(desc.m_BlockShape[1]); |
| 26 | |
| 27 | const arm_compute::Status aclStatus = arm_compute::NEBatchToSpaceLayer::validate(&aclInputInfo, |
| 28 | blockWidth, |
| 29 | blockHeight, |
| 30 | &aclOutputInfo); |
| 31 | return aclStatus; |
| 32 | } |
| 33 | |
| 34 | NeonBatchToSpaceNdWorkload::NeonBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor& desc, |
| 35 | const WorkloadInfo& info) |
| 36 | : BaseWorkload<BatchToSpaceNdQueueDescriptor>(desc, info) |
| 37 | { |
| 38 | m_Data.ValidateInputsOutputs("NeonBatchToSpaceNdWorkload", 1, 1); |
| 39 | |
| 40 | arm_compute::ITensor& input = |
| 41 | boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor(); |
| 42 | arm_compute::ITensor& output = |
| 43 | boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor(); |
| 44 | |
| 45 | arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); |
| 46 | input.info()->set_data_layout(aclDataLayout); |
| 47 | output.info()->set_data_layout(aclDataLayout); |
| 48 | |
| 49 | // ArmNN blockShape is [H, W] Cl asks for W, H |
| 50 | int32_t blockHeight = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[0]); |
| 51 | int32_t blockWidth = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[1]); |
| 52 | |
| 53 | m_Layer.reset(new arm_compute::NEBatchToSpaceLayer()); |
| 54 | m_Layer->configure(&input, blockWidth, blockHeight, &output); |
| 55 | m_Layer->prepare(); |
| 56 | } |
| 57 | |
| 58 | void NeonBatchToSpaceNdWorkload::Execute() const |
| 59 | { |
| 60 | if (m_Layer) |
| 61 | { |
| 62 | ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToBatchNdWorkload_Execute"); |
| 63 | m_Layer->run(); |
| 64 | } |
| 65 | } |
| 66 | |
| 67 | } //namespace armnn |