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Commit 02db1b4b authored by Olivier BICHLER's avatar Olivier BICHLER
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Merge branch 'sqrt_op' into 'main'

add sqrt operator

See merge request !42
parents daec3e64 3e705c08
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......@@ -43,6 +43,7 @@
#include "aidge/operator/ReLU.hpp"
#include "aidge/operator/Softmax.hpp"
#include "aidge/operator/Scaling.hpp"
#include "aidge/operator/Sqrt.hpp"
#include "aidge/scheduler/Scheduler.hpp"
#include "aidge/utils/Attributes.hpp"
#include "aidge/utils/StaticAttributes.hpp"
......
/********************************************************************************
* 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_SQRT_H_
#define AIDGE_CORE_OPERATOR_SQRT_H_
#include <cassert>
#include <memory>
#include <vector>
#include "aidge/utils/Registrar.hpp"
#include "aidge/operator/Operator.hpp"
#include "aidge/backend/OperatorImpl.hpp"
#include "aidge/data/Tensor.hpp"
#include "aidge/data/Data.hpp"
#include "aidge/graph/Node.hpp"
#include "aidge/utils/Types.h"
namespace Aidge {
class Sqrt_Op : public Operator,
public Registrable<Sqrt_Op, std::string, std::unique_ptr<OperatorImpl>(const Sqrt_Op&)> {
public:
// FIXME: change accessibility
std::shared_ptr<Tensor> mInput = std::make_shared<Tensor>();
const std::shared_ptr<Tensor> mOutput = std::make_shared<Tensor>();
public:
static constexpr const char* Type = "Sqrt";
Sqrt_Op()
: Operator(Type)
{
setDatatype(DataType::Float32);
}
/**
* @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 Operator to copy.
*/
Sqrt_Op(const Sqrt_Op& op)
: Operator(Type),
mOutput(std::make_shared<Tensor>(*op.mOutput))
{
// cpy-ctor
setDatatype(op.mOutput->dataType());
mImpl = op.mImpl ? Registrar<Sqrt_Op>::create(mOutput->getImpl()->backend())(*this) : nullptr;
}
/**
* @brief Clone the operator using its copy-constructor.
* @see Operator::Sqrt_Op
*/
std::shared_ptr<Operator> clone() const override {
return std::make_shared<Sqrt_Op>(*this);
}
void associateInput(const IOIndex_t inputIdx, std::shared_ptr<Data> data) override final {
assert(inputIdx == 0 && "operator supports only 1 input");
(void) inputIdx; // avoid unused warning
assert(strcmp(data->type(), Tensor::Type)==0 && "input data must be of Tensor type");
mInput = std::dynamic_pointer_cast<Tensor>(data);
}
void computeOutputDims() override final {
if (!mInput->empty())
mOutput->resize(mInput->dims());
}
bool outputDimsForwarded() const override final {
return !(mOutput->empty());
}
inline Tensor& input(const IOIndex_t /*inputIdx*/) const override final { return *(mInput.get()); }
inline Tensor& output(const IOIndex_t /*outputIdx*/) const override final { return *(mOutput.get()); }
inline std::shared_ptr<Tensor> getInput(const IOIndex_t inputIdx) const override final {
assert((inputIdx == 0) && "Sqrt Operator has only 1 input");
(void) inputIdx; // avoid unused warning
return mInput;
}
inline std::shared_ptr<Tensor> getOutput(const IOIndex_t outputIdx) const override final {
assert((outputIdx == 0) && "Sqrt Operator has only 1 output");
(void) outputIdx; // avoid unused warning
return mOutput;
}
std::shared_ptr<Data> getRawInput(const IOIndex_t inputIdx) const override final {
assert(inputIdx == 0 && "operator supports only 1 input");
(void) inputIdx; // avoid unused warning
return std::static_pointer_cast<Data>(mInput);
}
std::shared_ptr<Data> getRawOutput(const IOIndex_t outputIdx) const override final {
assert(outputIdx == 0 && "operator supports only 1 output");
(void) outputIdx; // avoid unused warning
return std::static_pointer_cast<Data>(mOutput);
}
void setBackend(const std::string& name) override {
mImpl = Registrar<Sqrt_Op>::create(name)(*this);
mOutput->setBackend(name);
// FIXME: temporary workaround
mInput->setBackend(name);
}
void setDatatype(const DataType& datatype) override {
mOutput->setDatatype(datatype);
// FIXME: temporary workaround
mInput->setDatatype(datatype);
}
inline IOIndex_t nbInputs() const noexcept override final { return 1; }
inline IOIndex_t nbDataInputs() const noexcept override final { return 1; }
inline IOIndex_t nbOutputs() const noexcept override final { return 1; }
static const std::vector<std::string> getInputsName(){
return {"data_input"};
}
static const std::vector<std::string> getOutputsName(){
return {"data_output"};
}
};
inline std::shared_ptr<Node> Sqrt(const std::string& name = "") {
return std::make_shared<Node>(std::make_shared<Sqrt_Op>(), name);
}
}
#endif /* AIDGE_CORE_OPERATOR_SQRT_H_ */
/********************************************************************************
* 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
*
********************************************************************************/
#include <pybind11/pybind11.h>
#include "aidge/operator/Sqrt.hpp"
#include "aidge/operator/Operator.hpp"
namespace py = pybind11;
namespace Aidge {
void init_Sqrt(py::module& m) {
py::class_<Sqrt_Op, std::shared_ptr<Sqrt_Op>, Operator>(m, "SqrtOp", py::multiple_inheritance())
.def("get_inputs_name", &Sqrt_Op::getInputsName)
.def("get_outputs_name", &Sqrt_Op::getOutputsName);
m.def("Sqrt", &Sqrt, py::arg("name") = "");
}
} // namespace Aidge
......@@ -34,6 +34,7 @@ void init_MetaOperatorDefs(py::module&);
void init_Producer(py::module&);
void init_ReLU(py::module&);
void init_Softmax(py::module&);
void init_Sqrt(py::module&);
void init_Node(py::module&);
void init_GraphView(py::module&);
......@@ -75,6 +76,7 @@ void init_Aidge(py::module& m){
init_MetaOperatorDefs(m);
init_ReLU(m);
init_Softmax(m);
init_Sqrt(m);
init_Producer(m);
init_Match(m);
......
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