ArmNN
 24.02
ElementwiseUnaryOperator.cpp File Reference
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Functions

TosaSerializationBasicBlock * ConvertElementwiseUnaryOperator (const Layer *layer, const std::vector< const TensorInfo * > &inputs, const std::vector< const TensorInfo * > &outputs, const ElementwiseUnaryDescriptor *unaryDescriptor)
 

Function Documentation

◆ ConvertElementwiseUnaryOperator()

TosaSerializationBasicBlock* ConvertElementwiseUnaryOperator ( const Layer layer,
const std::vector< const TensorInfo * > &  inputs,
const std::vector< const TensorInfo * > &  outputs,
const ElementwiseUnaryDescriptor unaryDescriptor 
)

Definition at line 8 of file ElementwiseUnaryOperator.cpp.

12 {
13  std::string input0Name = std::string("input0_");
14  std::string outputName = std::string("output0_");
15  std::string blockName = std::string("Op_ELEMENTWISEUNARY_block_") + GetUniqueTosaMappingID();
16 
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  // Get the layer connected to the input slot and determine unique the tensor name.
23  Layer& connectedLayer0 = layer->GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer();
24  input0Name = GenerateUniqueName(connectedLayer0, 0);
25 
26  // Determine unique output tensor name.
27  outputName = GenerateUniqueOutputName(*layer, 0);
28  }
29 
30  TosaSerializationOperator* op = nullptr;
31  switch(unaryDescriptor->m_Operation)
32  {
33  case UnaryOperation::Rsqrt:
34  {
35  op = new TosaSerializationOperator(tosa::Op_RSQRT,
36  Attribute_NONE,
37  nullptr,
38  {input0Name},
39  {outputName});
40  blockName = std::string("Op_RSQRT_block_") + GetUniqueTosaMappingID();
41  break;
42  }
43  default:
44  throw armnn::Exception("ConvertElementwiseUnaryToTosaOperator: Unsupported layer type.");
45  }
46 
47  ARMNN_ASSERT(op != nullptr);
48 
49  std::vector<TosaSerializationTensor*> tensors;
50  // Only add input tensor if connected layer is an input layer.
51  // As intermediate or constant tensors will be created separately.
52  // There also can't be duplicate tensor.
53  if(input0Name.find("input0_") != std::string::npos)
54  {
55  std::vector<int32_t> inputShape0 = GetTosaTensorShape(inputs[0]->GetShape());
56  DType inputDType0 = ArmNNToDType(inputs[0]->GetDataType());
57  tensors.push_back(new TosaSerializationTensor(input0Name, inputShape0, inputDType0, {}));
58  }
59 
60  std::vector<int32_t> outputShape0 = GetTosaTensorShape(outputs[0]->GetShape());
61  DType outputDType0 = ArmNNToDType(outputs[0]->GetDataType());
62 
63  tensors.push_back(new TosaSerializationTensor(outputName, outputShape0, outputDType0, {}));
64 
65  // operatorInputNames/operatorOutputNames ends up being the same as
66  // blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings
67  return new TosaSerializationBasicBlock(blockName, // name
68  mainName, // region name
69  {op}, // operators
70  tensors, // tensors
71  {input0Name}, // inputs
72  {outputName}); // outputs
73 }

References ARMNN_ASSERT, GenerateUniqueName(), GenerateUniqueOutputName(), InputSlot::GetConnectedOutputSlot(), Layer::GetInputSlot(), OutputSlot::GetOwningLayer(), GetTosaTensorShape(), GetUniqueTosaMappingID(), and ElementwiseUnaryDescriptor::m_Operation.

Referenced by GetTosaMapping().

ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
armnn::Layer
Definition: Layer.hpp:230
mainName
const std::string mainName
Definition: TosaOperatorUtils.hpp:19
armnn::OutputSlot::GetOwningLayer
Layer & GetOwningLayer() const
Definition: Layer.hpp:132
ArmNNToDType
DType ArmNNToDType(const DataType &type)
Definition: TosaOperatorUtils.hpp:22
GenerateUniqueOutputName
std::string GenerateUniqueOutputName(const Layer &layer, uint32_t layerSlot)
Definition: TosaOperatorUtils.hpp:82
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
armnn::ElementwiseUnaryDescriptor::m_Operation
UnaryOperation m_Operation
Specifies the elementwiseUnary operation to execute.
Definition: Descriptors.hpp:145
GenerateUniqueName
std::string GenerateUniqueName(const Layer &layer, uint32_t layerSlot)
Definition: TosaOperatorUtils.hpp:63
GetTosaTensorShape
std::vector< int32_t > GetTosaTensorShape(const TensorShape &shape)
Definition: TosaOperatorUtils.hpp:52
armnn::InputSlot::GetConnectedOutputSlot
const OutputSlot * GetConnectedOutputSlot() const
Definition: Layer.hpp:56
GetUniqueTosaMappingID
std::string GetUniqueTosaMappingID()
Definition: TosaOperatorUtils.hpp:100