ArmNN
 24.08
PadOperator.hpp File Reference
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Functions

TosaSerializationBasicBlock * ConvertPadToTosaOperator (const Layer *layer, const std::vector< const TensorInfo * > &inputs, const std::vector< const TensorInfo * > &outputs, const PadDescriptor *padDescriptor)
 

Function Documentation

◆ ConvertPadToTosaOperator()

TosaSerializationBasicBlock* ConvertPadToTosaOperator ( const Layer layer,
const std::vector< const TensorInfo * > &  inputs,
const std::vector< const TensorInfo * > &  outputs,
const PadDescriptor padDescriptor 
)

Definition at line 9 of file PadOperator.cpp.

13 {
14  std::string inputName = std::string("input_");
15  std::string outputName = std::string("output0_");
16  std::string blockName = std::string("Op_PAD_block_") + GetUniqueTosaMappingID();
17 
18  // If a layer is present then the block will be used for execution, so input and output names need to be determined
19  // using the previous and following layers so the graph is connected correctly. For validation this doesn't matter.
20  if(layer != nullptr)
21  {
22  inputName = GenerateUniqueInputName(layer->GetInputSlot(0));
23  outputName = GenerateUniqueOutputName(*layer);
24  }
25 
26  std::vector<int32_t> padding;
27  padding.reserve(padDescriptor->m_PadList.size());
28  for (size_t it = 0; it < padDescriptor->m_PadList.size(); ++it) {
29  padding.push_back(static_cast<int32_t>(padDescriptor->m_PadList[it].first));
30  padding.push_back(static_cast<int32_t>(padDescriptor->m_PadList[it].second));
31  }
32 
33  auto intPadValue = armnnUtils::SelectiveQuantize<int32_t>(padDescriptor->m_PadValue,
34  inputs[0]->GetQuantizationScale(),
35  inputs[0]->GetQuantizationOffset());
36  TosaPadAttribute padAttribute(padding, intPadValue ,padDescriptor->m_PadValue);
37 
38  auto* op = new TosaSerializationOperator(Op_PAD,
39  Attribute_PadAttribute,
40  &padAttribute,
41  {inputName},
42  {outputName});
43 
44  std::vector<TosaSerializationTensor*> tensors;
45 
46  // Only add input tensors if connected layer is an input layer.
47  // As intermediate or constant tensors will be created separately.
48  // There also can't be duplicate tensor.
49  if(inputName.find("input_") != std::string::npos)
50  {
51  std::vector<int32_t> inputShape0 = GetTosaTensorShape(inputs[0]->GetShape());
52  DType inputDType0 = ArmNNToDType(inputs[0]->GetDataType());
53 
54  tensors.push_back(new TosaSerializationTensor(inputName, inputShape0, inputDType0, {}));
55  }
56 
57  std::vector<int32_t> outputShape0 = GetTosaTensorShape(outputs[0]->GetShape());
58  DType outputDType0 = ArmNNToDType(outputs[0]->GetDataType());
59 
60  tensors.push_back(new TosaSerializationTensor(outputName, outputShape0, outputDType0, {}));
61 
62  // operatorInputNames/operatorOutputNames ends up being the same as
63  // blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings
64  return new TosaSerializationBasicBlock(blockName, // name
65  mainName, // region name
66  {op}, // operators
67  tensors, // tensors
68  {inputName}, // inputs
69  {outputName}); // outputs
70 }

References GenerateUniqueInputName(), GenerateUniqueOutputName(), Layer::GetInputSlot(), GetTosaTensorShape(), GetUniqueTosaMappingID(), PadDescriptor::m_PadList, and PadDescriptor::m_PadValue.

Referenced by GetTosaMapping().

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
mainName
const std::string mainName
Definition: TosaOperatorUtils.hpp:19
ArmNNToDType
DType ArmNNToDType(const DataType &type)
Definition: TosaOperatorUtils.hpp:22
armnn::PadDescriptor::m_PadValue
float m_PadValue
Optional value to use for padding, defaults to 0.
Definition: Descriptors.hpp:1221
armnn::PadDescriptor::m_PadList
std::vector< std::pair< unsigned int, unsigned int > > m_PadList
Specifies the padding for input dimension.
Definition: Descriptors.hpp:1218
GetTosaTensorShape
std::vector< int32_t > GetTosaTensorShape(const TensorShape &shape)
Definition: TosaOperatorUtils.hpp:79
GenerateUniqueInputName
std::string GenerateUniqueInputName(const armnn::InputSlot &slot)
Definition: TosaOperatorUtils.hpp:109
GetUniqueTosaMappingID
std::string GetUniqueTosaMappingID()
Definition: TosaOperatorUtils.hpp:138