ArmNN
 24.08
ReshapeOperator.cpp
Go to the documentation of this file.
1 //
2 // Copyright © 2022-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ReshapeOperator.hpp"
7 
8 TosaSerializationBasicBlock* ConvertReshapeToTosaOperator(const Layer* layer,
9  const std::vector<const TensorInfo*>& inputs,
10  const std::vector<const TensorInfo*>& outputs,
11  const ReshapeDescriptor* reshapeDescriptor)
12 {
13  std::string inputName = std::string("input_");
14  std::string outputName = std::string("output0_");
15  std::string blockName = std::string("Op_RESHAPE_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  TosaReshapeAttribute attribute(GetTosaTensorShape(reshapeDescriptor->m_TargetShape));
26 
27  auto* op = new TosaSerializationOperator(Op_RESHAPE,
28  Attribute_ReshapeAttribute,
29  &attribute,
30  {inputName},
31  {outputName});
32 
33  std::vector<TosaSerializationTensor*> tensors;
34 
35  // Only add input tensors if connected layer is an input layer.
36  // As intermediate or constant tensors will be created separately.
37  // There also can't be duplicate tensor.
38  if(inputName.find("input_") != std::string::npos)
39  {
40  std::vector<int32_t> inputShape = GetTosaTensorShape(inputs[0]->GetShape());
41  DType inputDType = ArmNNToDType(inputs[0]->GetDataType());
42 
43  tensors.push_back(new TosaSerializationTensor(inputName, inputShape, inputDType, {}));
44  }
45 
46  std::vector<int32_t> outputShape = GetTosaTensorShape(outputs[0]->GetShape());
47  DType outputDType = ArmNNToDType(outputs[0]->GetDataType());
48 
49  tensors.push_back(new TosaSerializationTensor(outputName, outputShape, outputDType, {}));
50 
51  // operatorInputNames/operatorOutputNames ends up being the same as
52  // blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings
53  return new TosaSerializationBasicBlock(blockName, // name
54  mainName, // region name
55  {op}, // operators
56  tensors, // tensors
57  {inputName}, // inputs
58  {outputName}); // outputs
59 }
ConvertReshapeToTosaOperator
TosaSerializationBasicBlock * ConvertReshapeToTosaOperator(const Layer *layer, const std::vector< const TensorInfo * > &inputs, const std::vector< const TensorInfo * > &outputs, const ReshapeDescriptor *reshapeDescriptor)
Definition: ReshapeOperator.cpp:8
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
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
armnn::ReshapeDescriptor
A ReshapeDescriptor for the ReshapeLayer.
Definition: Descriptors.hpp:1023
armnn::ReshapeDescriptor::m_TargetShape
TensorShape m_TargetShape
Target shape value.
Definition: Descriptors.hpp:1039
GetTosaTensorShape
std::vector< int32_t > GetTosaTensorShape(const TensorShape &shape)
Definition: TosaOperatorUtils.hpp:79
ReshapeOperator.hpp
GenerateUniqueInputName
std::string GenerateUniqueInputName(const armnn::InputSlot &slot)
Definition: TosaOperatorUtils.hpp:109
GetUniqueTosaMappingID
std::string GetUniqueTosaMappingID()
Definition: TosaOperatorUtils.hpp:138