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/_reshape_operator_8hpp.html | 246 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 246 insertions(+) create mode 100644 23.11/_reshape_operator_8hpp.html (limited to '23.11/_reshape_operator_8hpp.html') diff --git a/23.11/_reshape_operator_8hpp.html b/23.11/_reshape_operator_8hpp.html new file mode 100644 index 0000000000..3430971b95 --- /dev/null +++ b/23.11/_reshape_operator_8hpp.html @@ -0,0 +1,246 @@ + + + + + + + + +Arm NN: src/backends/tosaCommon/operatorMappings/ReshapeOperator.hpp File Reference + + + + + + + + + + + + + + + + +
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+  23.11 +
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ReshapeOperator.hpp File Reference
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#include "TosaOperatorUtils.hpp"
+#include <Layer.hpp>
+#include <tosa_serialization_handler.h>
+
+Include dependency graph for ReshapeOperator.hpp:
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+This graph shows which files directly or indirectly include this file:
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Go to the source code of this file.

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+Functions

TosaSerializationBasicBlock * ConvertReshapeToTosaOperator (const Layer *layer, const std::vector< const TensorInfo * > &inputs, const std::vector< const TensorInfo * > &outputs, const ReshapeDescriptor *reshapeDescriptor)
 
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Function Documentation

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◆ ConvertReshapeToTosaOperator()

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TosaSerializationBasicBlock* ConvertReshapeToTosaOperator (const Layer * layer,
const std::vector< const TensorInfo * > & inputs,
const std::vector< const TensorInfo * > & outputs,
const ReshapeDescriptor * reshapeDescriptor 
)
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Definition at line 8 of file ReshapeOperator.cpp.

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12 {
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13  std::string inputName = 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_RESHAPE_block_") + GetUniqueTosaMappingID();
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16 
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17  // 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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18  // using the previous and following layers so the graph is connected correctly. For validation this doesn't matter.
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19  if(layer != nullptr)
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20  {
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21  // Get the layers connected to the input slots and determine unique tensor names.
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22  Layer& connectedLayer = layer->GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer();
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23  inputName = GenerateUniqueName(connectedLayer, 0);
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24 
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25  // Determine unique output tensor name.
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26  outputName = GenerateUniqueOutputName(*layer, 0);
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27  }
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28 
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29  TosaReshapeAttribute attribute(GetTosaTensorShape(reshapeDescriptor->m_TargetShape));
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30 
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31  auto* op = new TosaSerializationOperator(Op_RESHAPE,
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32  Attribute_ReshapeAttribute,
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33  &attribute,
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34  {inputName},
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35  {outputName});
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36 
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37  std::vector<TosaSerializationTensor*> tensors;
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38 
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39  // Only add input tensors if connected layer is an input layer.
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40  // As intermediate or constant tensors will be created separately.
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41  // There also can't be duplicate tensor.
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42  if(inputName.find("input0_") != std::string::npos)
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43  {
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44  std::vector<int32_t> inputShape = GetTosaTensorShape(inputs[0]->GetShape());
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45  DType inputDType = ArmNNToDType(inputs[0]->GetDataType());
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46 
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47  tensors.push_back(new TosaSerializationTensor(inputName, inputShape, inputDType, {}));
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48  }
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49 
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50  std::vector<int32_t> outputShape = GetTosaTensorShape(outputs[0]->GetShape());
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51  DType outputDType = ArmNNToDType(outputs[0]->GetDataType());
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52 
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53  tensors.push_back(new TosaSerializationTensor(outputName, outputShape, outputDType, {}));
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54 
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55  // operatorInputNames/operatorOutputNames ends up being the same as
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56  // blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings
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57  return new TosaSerializationBasicBlock(blockName, // name
+
58  mainName, // region name
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59  {op}, // operators
+
60  tensors, // tensors
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61  {inputName}, // inputs
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62  {outputName}); // outputs
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63 }
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References GenerateUniqueName(), GenerateUniqueOutputName(), InputSlot::GetConnectedOutputSlot(), Layer::GetInputSlot(), OutputSlot::GetOwningLayer(), GetTosaTensorShape(), GetUniqueTosaMappingID(), and ReshapeDescriptor::m_TargetShape.

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Referenced by GetTosaMapping().

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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
+ +
mainName
const std::string mainName
Definition: TosaOperatorUtils.hpp:19
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armnn::OutputSlot::GetOwningLayer
Layer & GetOwningLayer() const
Definition: Layer.hpp:132
+
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
+
armnn::ReshapeDescriptor::m_TargetShape
TensorShape m_TargetShape
Target shape value.
Definition: Descriptors.hpp:1039
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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
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armnn::InputSlot::GetConnectedOutputSlot
const OutputSlot * GetConnectedOutputSlot() const
Definition: Layer.hpp:56
+
GetUniqueTosaMappingID
std::string GetUniqueTosaMappingID()
Definition: TosaOperatorUtils.hpp:100
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