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#pragma once
#include "caffe2/core/common.h"
#include "caffe2/core/logging.h"
#include "caffe2/proto/caffe2_pb.h"
#include "nomnigraph/Representations/NeuralNet.h"
namespace caffe2 {
class TORCH_API Caffe2Annotation : public nom::repr::Annotation {
public:
Caffe2Annotation() : Annotation(AnnotationKind::Caffe2) {}
Caffe2Annotation(std::string device)
: Annotation(AnnotationKind::Caffe2), Device(device) {}
virtual ~Caffe2Annotation() {}
void setOperatorDef(const caffe2::OperatorDef& opDef);
bool hasOperatorDef() const;
const caffe2::OperatorDef& getOperatorDef() const;
caffe2::OperatorDef* getMutableOperatorDef();
void setDeviceOption(const caffe2::DeviceOption& opDef);
bool hasDeviceOption() const;
const caffe2::DeviceOption& getDeviceOption() const;
caffe2::DeviceOption* getMutableDeviceOption();
// Distributed annotations
void setDevice(std::string device);
const std::string getDevice() const;
void setDeviceType(int device);
int getDeviceType() const;
enum class ParallelizationScheme {
none,
split_by_batch,
split_by_length,
shard,
shard_by_number
};
void setParallelization(ParallelizationScheme, int num = -1);
ParallelizationScheme getParallelizationScheme() const;
int getParallelization() const;
void setKeyNode(nom::repr::NNGraph::NodeRef);
const nom::repr::NNGraph::NodeRef& getKeyNode() const;
void setLengthNode(nom::repr::NNGraph::NodeRef);
const nom::repr::NNGraph::NodeRef& getLengthNode() const;
void setComponentLevels(std::vector<std::string> components);
std::vector<std::string> getComponentLevels() const;
static bool classof(const Annotation* A);
private:
std::string Device = "";
caffe2::OperatorDef OpDef;
bool OpDefExists = false;
// Distributed annotations
int DeviceType = caffe2::DeviceTypeProto::PROTO_CPU;
ParallelizationScheme parallelization_scheme_ = ParallelizationScheme::none;
int parallelization_ = -1;
nom::repr::NNGraph::NodeRef key_node_ = nullptr;
nom::repr::NNGraph::NodeRef length_node_ = nullptr;
std::vector<std::string> component_levels_;
};
} // namespace caffe2
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