onert::backend::ruy::ops Namespace Reference

Data Structures
class	ConvolutionLayer
class	FullyConnectedLayer

Functions
nnfw::ruy::PaddingType	getPaddingType (ir::PaddingType ir_padding_type)
nnfw::ruy::Shape	getTensorShape (const IPortableTensor *tensor)
nnfw::ruy::FusedActivationFunctionType	convertActivationType (const ir::Activation activation)

Function Documentation

convertActivationType()

nnfw::ruy::FusedActivationFunctionType onert::backend::ruy::ops::convertActivationType ( const ir::Activation  activation )

inline

Definition at line 52 of file OperationUtils.h.

{
  switch (activation)
  {
    case ir::Activation::NONE:
      return nnfw::ruy::FusedActivationFunctionType::kNone;
    case ir::Activation::RELU:
      return nnfw::ruy::FusedActivationFunctionType::kRelu;
    case ir::Activation::RELU1:
      return nnfw::ruy::FusedActivationFunctionType::kRelu1;
    case ir::Activation::RELU6:
      return nnfw::ruy::FusedActivationFunctionType::kRelu6;
    case ir::Activation::TANH:
      return nnfw::ruy::FusedActivationFunctionType::kTanh;
    case ir::Activation::SIGMOID:
      return nnfw::ruy::FusedActivationFunctionType::kSigmoid;
    default:
      throw std::runtime_error{"RUY backend: Cannot convert activation type"};
  }
}

References nnfw::ruy::kNone, nnfw::ruy::kRelu, nnfw::ruy::kRelu1, nnfw::ruy::kRelu6, nnfw::ruy::kSigmoid, nnfw::ruy::kTanh, onert::ir::NONE, onert::ir::RELU, onert::ir::RELU1, onert::ir::RELU6, onert::ir::SIGMOID, and onert::ir::TANH.

Referenced by onert::backend::ruy::ops::FullyConnectedLayer::fullyConnectedFloat32().

getPaddingType()

nnfw::ruy::PaddingType onert::backend::ruy::ops::getPaddingType

(

ir::PaddingType

ir_padding_type

)

Definition at line 22 of file OperationUtils.cc.

{
  switch (ir_padding_type)
  {
    case ir::PaddingType::EXPLICIT:
      return nnfw::ruy::PaddingType::kNone;
    case ir::PaddingType::SAME:
      return nnfw::ruy::PaddingType::kSame;
    case ir::PaddingType::VALID:
      return nnfw::ruy::PaddingType::kValid;
    default:
      throw std::runtime_error("Wrong padding type.");
      break;
  }
}

References onert::ir::EXPLICIT, nnfw::ruy::kNone, nnfw::ruy::kSame, nnfw::ruy::kValid, onert::ir::SAME, and onert::ir::VALID.

getTensorShape()

nnfw::ruy::Shape onert::backend::ruy::ops::getTensorShape ( const IPortableTensor *  tensor )

inline

Definition at line 36 of file OperationUtils.h.

{
  if (tensor == nullptr)
    return nnfw::ruy::Shape();
 
  const ir::Shape &shape = tensor->get_info().shape();
  auto rank = shape.rank();
  nnfw::ruy::Shape ret(rank);
  auto data = ret.DimsData();
  for (int i = 0; i < rank; ++i)
  {
    data[i] = shape.dim(i);
  }
  return ret;
}

References nnfw::ruy::Shape::DimsData().

Referenced by onert::backend::ruy::ops::ConvolutionLayer::convFloat32(), onert::backend::ruy::ops::FullyConnectedLayer::fullyConnectedFloat32(), onert::backend::ruy::ops::ConvolutionLayer::prepare(), and onert::backend::ruy::ops::FullyConnectedLayer::prepare().