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Producer.hpp 6.06 KiB
/********************************************************************************
* Copyright (c) 2023 CEA-List
*
* This program and the accompanying materials are made available under the
* terms of the Eclipse Public License 2.0 which is available at
* http://www.eclipse.org/legal/epl-2.0.
*
* SPDX-License-Identifier: EPL-2.0
*
********************************************************************************/
#ifndef AIDGE_CORE_OPERATOR_PRODUCER_H_
#define AIDGE_CORE_OPERATOR_PRODUCER_H_
#include <cstddef>
#include <array>
#include <memory>
#include <vector>
#include "aidge/utils/Types.h"
#include "aidge/data/Tensor.hpp"
#include "aidge/graph/Node.hpp"
#include "aidge/operator/OperatorTensor.hpp"
#include "aidge/utils/StaticAttributes.hpp"
#include "aidge/utils/Registrar.hpp"
namespace Aidge {
enum class ProdAttr { Constant };
class Producer_Op
: public OperatorTensor,
public Registrable<Producer_Op, std::string, std::shared_ptr<OperatorImpl>(
const Producer_Op &)>,
public StaticAttributes<ProdAttr, bool> {
public:
static const std::string Type;
using Attributes_ = StaticAttributes<ProdAttr, bool>;
template <ProdAttr e>
using attr = typename Attributes_::template attr<e>;
template <std::size_t DIM>
Producer_Op(const std::array<DimSize_t, DIM>& dims,
bool constant = false)
: OperatorTensor(Type, 0, 0, 1),
Attributes_(attr<ProdAttr::Constant>(constant))
{
mOutputs[0]->resize(dims);
mImpl = std::make_shared<OperatorImpl>(*this);
}
/**
* @brief Construct a new Producer_Op object from a Tensor.
*
* @param tensor Tensor to set in the Prducer.
* @param constant Whether the Producer should be considered constant.
*/
Producer_Op(const std::shared_ptr<Tensor> tensor, bool constant = false);
/**
* @brief Copy-constructor. Copy the operator attributes and its output tensor(s),
* but not its input tensors (the new operator has no input associated).
* @param op OperatorTensor to copy.
*/
Producer_Op(const Producer_Op& op);
public:
/**
* @brief Conversion operator from Producer to Tensor.
*
* @return std::shared_ptr<Tensor>
*/
operator std::shared_ptr<Tensor>() const { return mOutputs[0]; }
public:
/**
* @brief Clone the operator using its copy-constructor.
* @see Operator::Producer_Op(const Producer_Op&)
*/
std::shared_ptr<Operator> clone() const override {
return std::make_shared<Producer_Op>(*this);
}
void associateInput(const IOIndex_t /*inputIdx*/, const std::shared_ptr<Data>& /*data*/) override final {
AIDGE_THROW_OR_ABORT(std::runtime_error, "Producer operator takes no input.");
}
bool forwardDims(bool /*allowDataDependency*/ = false) override final { return true; }
inline bool dimsForwarded() const noexcept override final { return true; }
inline const std::vector<DimSize_t> dims() const noexcept { return mOutputs[0]->dims(); }
void setBackend(const std::string& name, DeviceIdx_t device = 0) override;
static const std::vector<std::string> getInputsName(){
return {};
}
static const std::vector<std::string> getOutputsName(){
return {"data_output"};
}
void forward() override final;
void backward() override final {
// fmt::print("Basic Producer backward() function.\n");
}
void setOutput(const Aidge::IOIndex_t outputIdx, std::shared_ptr<Aidge::Data>&& data) override {
if (getAttr<ProdAttr::Constant>()) {
AIDGE_THROW_OR_ABORT(std::runtime_error, "Producer is constant, cannot update output.");
}
OperatorTensor::setOutput(outputIdx, std::move(data));
}
void setOutput(const Aidge::IOIndex_t outputIdx, const std::shared_ptr<Aidge::Data>& data) override {
if (getAttr<ProdAttr::Constant>()) {
AIDGE_THROW_OR_ABORT(std::runtime_error, "Producer is constant, cannot update output.");
}
OperatorTensor::setOutput(outputIdx, data);
}
};
template <std::array<DimSize_t, 1>::size_type DIM>
inline std::shared_ptr<Node> Producer(const std::array<DimSize_t, DIM> &dims, const std::string& name = "", bool constant = false) {
static_assert(DIM<=MaxDim,"Too many tensor dimensions required by Producer, not supported");
return std::make_shared<Node>(std::make_shared<Producer_Op>(dims, constant), name);
}
// helper with C-style array instead of std::array for kernel_dims to allow automatic template DIM deduction
template <std::size_t DIM>
inline std::shared_ptr<Node> Producer(DimSize_t const (&dims)[DIM], const std::string& name = "", bool constant = false) {
return Producer(to_array(dims), name, constant);
}
inline std::shared_ptr<Node> Producer(const std::shared_ptr<Tensor> tensor, const std::string& name = "", bool constant = false) {
return std::make_shared<Node>(std::make_shared<Producer_Op>(tensor, constant), name);
}
template <std::array<DimSize_t, 1>::size_type DIM>
void addProducer(std::shared_ptr<Node>& otherNode, const IOIndex_t inputIdx, const std::array<DimSize_t, DIM>& dims, const std::string& extension) {
assert(inputIdx != gk_IODefaultIndex);
static_assert(DIM<=MaxDim,"Too many tensor dimensions required by addProducer, not supported");
const std::string prodName = (otherNode->name().empty()) ? "" : (otherNode->name() + std::string("_") + extension);
auto prod = Producer(dims, prodName);
prod->addChild(otherNode, 0, inputIdx);
otherNode->getOperator()->associateInput(inputIdx, prod->getOperator()->getRawOutput(0));
}
// helper with C-style array instead of std::array for kernel_dims to allow automatic template DIM deduction
template <std::size_t DIM>
void addProducer(std::shared_ptr<Node>& otherNode, const IOIndex_t inputIdx, DimSize_t const (&dims)[DIM], const std::string& extension) {
addProducer(otherNode, inputIdx, to_array(dims), extension);
}
} // namespace Aidge
namespace {
template <>
const char *const EnumStrings<Aidge::ProdAttr>::data[] = {
"Constant"
};
}
#endif /* AIDGE_CORE_OPERATOR_PRODUCER_H_ */