ArmNN
 24.08
SliceOperator.cpp
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1 //
2 // Copyright © 2022-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "SliceOperator.hpp"
7 
8 TosaSerializationBasicBlock* ConvertSliceToTosaOperator(const Layer* layer,
9  const std::vector<const TensorInfo*>& inputs,
10  const std::vector<const TensorInfo*>& outputs,
11  const SliceDescriptor* sliceDescriptor)
12 {
13  std::string inputName = std::string("input_");
14  std::string outputName = std::string("output0_");
15  std::string blockName = std::string("Op_SLICE_block_") + GetUniqueTosaMappingID();
16 
17  // If a layer is present then the block will be used for execution, so input and output names need to be determined
18  // using the previous and following layers so the graph is connected correctly. For validation this doesn't matter.
19  if(layer != nullptr)
20  {
21  inputName = GenerateUniqueInputName(layer->GetInputSlot(0));
22  outputName = GenerateUniqueOutputName(*layer);
23  }
24 
25  std::vector<int32_t> begin(sliceDescriptor->m_Begin.begin(), sliceDescriptor->m_Begin.end());
26  std::vector<int32_t> size(sliceDescriptor->m_Size.begin(), sliceDescriptor->m_Size.end());
27 
28  TosaSliceAttribute attribute(begin, size);
29 
30  auto* op = new TosaSerializationOperator(Op_SLICE,
31  Attribute_SliceAttribute,
32  &attribute,
33  {inputName},
34  {outputName});
35 
36  std::vector<TosaSerializationTensor*> tensors;
37 
38  // Only add input tensors if connected layer is an input layer.
39  // As intermediate or constant tensors will be created separately.
40  // There also can't be duplicate tensor.
41  if(inputName.find("input_") != std::string::npos)
42  {
43  std::vector<int32_t> inputShape = GetTosaTensorShape(inputs[0]->GetShape());
44  DType inputDType = ArmNNToDType(inputs[0]->GetDataType());
45 
46  tensors.push_back(new TosaSerializationTensor(inputName, inputShape, inputDType, {}));
47  }
48 
49  std::vector<int32_t> outputShape = GetTosaTensorShape(outputs[0]->GetShape());
50  DType outputDType = ArmNNToDType(outputs[0]->GetDataType());
51 
52  tensors.push_back(new TosaSerializationTensor(outputName, outputShape, outputDType, {}));
53 
54  // operatorInputNames/operatorOutputNames ends up being the same as
55  // blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings
56  return new TosaSerializationBasicBlock(blockName, // name
57  mainName, // region name
58  {op}, // operators
59  tensors, // tensors
60  {inputName}, // inputs
61  {outputName}); // outputs
62 }
armnn::SliceDescriptor::m_Begin
std::vector< unsigned int > m_Begin
Beginning indices of the slice in each dimension.
Definition: Descriptors.hpp:1244
GenerateUniqueOutputName
std::string GenerateUniqueOutputName(const Layer &layer, uint32_t layerSlot=0)
Definition: TosaOperatorUtils.hpp:120
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
SliceOperator.hpp
armnn::Layer
Definition: Layer.hpp:230
mainName
const std::string mainName
Definition: TosaOperatorUtils.hpp:19
ArmNNToDType
DType ArmNNToDType(const DataType &type)
Definition: TosaOperatorUtils.hpp:22
ConvertSliceToTosaOperator
TosaSerializationBasicBlock * ConvertSliceToTosaOperator(const Layer *layer, const std::vector< const TensorInfo * > &inputs, const std::vector< const TensorInfo * > &outputs, const SliceDescriptor *sliceDescriptor)
Definition: SliceOperator.cpp:8
armnn::SliceDescriptor
A SliceDescriptor for the SliceLayer.
Definition: Descriptors.hpp:1228
GetTosaTensorShape
std::vector< int32_t > GetTosaTensorShape(const TensorShape &shape)
Definition: TosaOperatorUtils.hpp:79
armnn::SliceDescriptor::m_Size
std::vector< unsigned int > m_Size
Size of the slice in each dimension.
Definition: Descriptors.hpp:1247
GenerateUniqueInputName
std::string GenerateUniqueInputName(const armnn::InputSlot &slot)
Definition: TosaOperatorUtils.hpp:109
GetUniqueTosaMappingID
std::string GetUniqueTosaMappingID()
Definition: TosaOperatorUtils.hpp:138