From 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Wed, 22 Nov 2023 11:41:15 +0000 Subject: Update Doxygen for 23.11 Signed-off-by: Nikhil Raj Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849 --- 23.11/_elementwise_unary_operator_8cpp.html | 250 ++++++++++++++++++++++++++++ 1 file changed, 250 insertions(+) create mode 100644 23.11/_elementwise_unary_operator_8cpp.html (limited to '23.11/_elementwise_unary_operator_8cpp.html') diff --git a/23.11/_elementwise_unary_operator_8cpp.html b/23.11/_elementwise_unary_operator_8cpp.html new file mode 100644 index 0000000000..7571648bba --- /dev/null +++ b/23.11/_elementwise_unary_operator_8cpp.html @@ -0,0 +1,250 @@ + + + + + + + + +Arm NN: src/backends/tosaCommon/operatorMappings/ElementwiseUnaryOperator.cpp File Reference + + + + + + + + + + + + + + + + +
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+  23.11 +
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ElementwiseUnaryOperator.cpp File Reference
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#include "ElementwiseUnaryOperator.hpp"
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+Include dependency graph for ElementwiseUnaryOperator.cpp:
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Go to the source code of this file.

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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)
 
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Function Documentation

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◆ ConvertElementwiseUnaryOperator()

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TosaSerializationBasicBlock* ConvertElementwiseUnaryOperator (const Layer * layer,
const std::vector< const TensorInfo * > & inputs,
const std::vector< const TensorInfo * > & outputs,
const ElementwiseUnaryDescriptor * unaryDescriptor 
)
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Definition at line 8 of file ElementwiseUnaryOperator.cpp.

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12 {
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13  std::string input0Name = std::string("input0_");
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14  std::string outputName = std::string("output0_");
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15  std::string blockName = std::string("Op_ELEMENTWISEUNARY_block_") + GetUniqueTosaMappingID();
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16 
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17 
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18  // If a layer is present then the block will be used for execution, so input and output names need to be determined
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19  // using the previous and following layers so the graph is connected correctly. For validation this doesn't matter.
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20  if(layer != nullptr)
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21  {
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22  // Get the layer connected to the input slot and determine unique the tensor name.
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23  Layer& connectedLayer0 = layer->GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer();
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24  input0Name = GenerateUniqueName(connectedLayer0, 0);
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25 
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26  // Determine unique output tensor name.
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27  outputName = GenerateUniqueOutputName(*layer, 0);
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28  }
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29 
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30  TosaSerializationOperator* op = nullptr;
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31  switch(unaryDescriptor->m_Operation)
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32  {
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33  case UnaryOperation::Rsqrt:
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34  {
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35  op = new TosaSerializationOperator(tosa::Op_RSQRT,
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36  Attribute_NONE,
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37  nullptr,
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38  {input0Name},
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39  {outputName});
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40  blockName = std::string("Op_RSQRT_block_") + GetUniqueTosaMappingID();
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41  break;
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42  }
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43  default:
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44  throw armnn::Exception("ConvertElementwiseUnaryToTosaOperator: Unsupported layer type.");
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45  }
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46 
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47  ARMNN_ASSERT(op != nullptr);
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48 
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49  std::vector<TosaSerializationTensor*> tensors;
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50  // Only add input tensor if connected layer is an input layer.
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51  // As intermediate or constant tensors will be created separately.
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52  // There also can't be duplicate tensor.
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53  if(input0Name.find("input0_") != std::string::npos)
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54  {
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55  std::vector<int32_t> inputShape0 = GetTosaTensorShape(inputs[0]->GetShape());
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56  DType inputDType0 = ArmNNToDType(inputs[0]->GetDataType());
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57  tensors.push_back(new TosaSerializationTensor(input0Name, inputShape0, inputDType0, {}));
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58  }
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59 
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60  std::vector<int32_t> outputShape0 = GetTosaTensorShape(outputs[0]->GetShape());
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61  DType outputDType0 = ArmNNToDType(outputs[0]->GetDataType());
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62 
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63  tensors.push_back(new TosaSerializationTensor(outputName, outputShape0, outputDType0, {}));
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64 
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65  // operatorInputNames/operatorOutputNames ends up being the same as
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66  // blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings
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67  return new TosaSerializationBasicBlock(blockName, // name
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68  mainName, // region name
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69  {op}, // operators
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70  tensors, // tensors
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71  {input0Name}, // inputs
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72  {outputName}); // outputs
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73 }
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References ARMNN_ASSERT, GenerateUniqueName(), GenerateUniqueOutputName(), InputSlot::GetConnectedOutputSlot(), Layer::GetInputSlot(), OutputSlot::GetOwningLayer(), GetTosaTensorShape(), GetUniqueTosaMappingID(), and ElementwiseUnaryDescriptor::m_Operation.

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Referenced by GetTosaMapping().

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