ArmNN
 23.02
RefBatchToSpaceNdWorkload.cpp
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1 //
2 // Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "BatchToSpaceNd.hpp"
7 #include "Profiling.hpp"
9 #include "RefWorkloadUtils.hpp"
10 
11 namespace armnn
12 {
13 
15 {
17 }
18 
20 {
21  WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
22  Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
23 }
24 
25 void RefBatchToSpaceNdWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
26 {
27  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchToSpaceNdWorkload_Execute");
28 
29  const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
30  const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
31 
32  std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(inputInfo, inputs[0]->Map());
33  std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(outputInfo, outputs[0]->Map());
34 
36  m_Data.m_Parameters.m_Crops, *inputDecoder, *outputEncoder);
37 }
38 
39 
40 } //namespace armnn
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:27
armnn::BatchToSpaceNd
void BatchToSpaceNd(const DataLayoutIndexed &dataLayout, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, const std::vector< unsigned int > &blockShape, const std::vector< std::pair< unsigned int, unsigned int >> &cropsData, Decoder< float > &inputDecoder, Encoder< float > &outputEncoder)
Definition: BatchToSpaceNd.cpp:35
armnn::BatchToSpaceNdDescriptor::m_Crops
std::vector< std::pair< unsigned int, unsigned int > > m_Crops
The values to crop from the input dimension.
Definition: Descriptors.hpp:868
armnn::LayerType::Map
@ Map
armnn::experimental::WorkingMemDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkingMemDescriptor.hpp:20
armnn::experimental::ExecutionData
Definition: ExecutionData.hpp:14
armnn::experimental::ExecutionData::m_Data
void * m_Data
Definition: ExecutionData.hpp:16
armnn::experimental::WorkingMemDescriptor
Definition: WorkingMemDescriptor.hpp:18
armnn::BaseWorkload< BatchToSpaceNdQueueDescriptor >::m_Data
BatchToSpaceNdQueueDescriptor m_Data
Definition: Workload.hpp:83
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
BatchToSpaceNd.hpp
RefWorkloadUtils.hpp
armnn::BatchToSpaceNdDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:870
ARMNN_SCOPED_PROFILING_EVENT
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:220
armnn::RefBatchToSpaceNdWorkload::ExecuteAsync
void ExecuteAsync(ExecutionData &executionData) override
Definition: RefBatchToSpaceNdWorkload.cpp:19
armnn::TensorInfo
Definition: Tensor.hpp:152
RefBatchToSpaceNdWorkload.hpp
armnn::BatchToSpaceNdDescriptor::m_BlockShape
std::vector< unsigned int > m_BlockShape
Block shape values.
Definition: Descriptors.hpp:866
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::experimental::WorkingMemDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkingMemDescriptor.hpp:21
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
armnn::Compute::CpuRef
@ CpuRef
CPU Execution: Reference C++ kernels.
armnn::RefBatchToSpaceNdWorkload::Execute
void Execute() const override
Definition: RefBatchToSpaceNdWorkload.cpp:14
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
Profiling.hpp