diff --git a/include/aidge/operator/Pad.hpp b/include/aidge/operator/Pad.hpp
deleted file mode 100644
index deae0e6b8c5a91e5c10e7655549a4e46ac90eb0b..0000000000000000000000000000000000000000
--- a/include/aidge/operator/Pad.hpp
+++ /dev/null
@@ -1,233 +0,0 @@
-/********************************************************************************
- * 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_PAD_H_
-#define AIDGE_CORE_OPERATOR_PAD_H_
-
-#include <array>
-#include <numeric>
-#include <vector>
-#include <cmath>
-
-#include "aidge/data/Tensor.hpp"
-#include "aidge/graph/Node.hpp"
-#include "aidge/operator/Operator.hpp"
-#include "aidge/operator/Producer.hpp"
-#include "aidge/utils/StaticAttributes.hpp"
-#include "aidge/utils/Registrar.hpp"
-#include "aidge/utils/Types.h"
-
-namespace Aidge {
-enum class PadAttr { BeginEndBorders, BorderType, BorderValue };
-enum class PadBorderType { Constant, Replicate, Reflect, Wrap };
-
-template <DimIdx_t DIM>
-class Pad_Op : public Operator,
- public Registrable<Pad_Op<DIM>, std::string, std::unique_ptr<OperatorImpl>(const Pad_Op<DIM> &)>,
- public StaticAttributes<PadAttr,
- std::array<std::array<DimSize_t, 2>, DIM>,
- PadBorderType,
- double> {
-private:
- // 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 = "Pad";
-
- Pad_Op() = delete;
-
- using Attributes_ = StaticAttributes<PadAttr,
- std::array<std::array<DimSize_t, 2>, DIM>,
- PadBorderType,
- double>;
- template <PadAttr e>
- using attr = typename Attributes_::template attr<e>;
-
- constexpr Pad_Op(const std::array<std::array<DimSize_t, 2>, DIM> &beginEndTuples,
- const PadBorderType &borderType = PadBorderType::Constant,
- double borderValue = 0.0)
- : Operator(Type),
- Attributes_(attr<PadAttr::BeginEndBorders>(beginEndTuples),
- attr<PadAttr::BorderType>(borderType),
- attr<PadAttr::BorderValue>(borderValue)) {
- 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.
- */
- Pad_Op(const Pad_Op& op)
- : Operator(Type),
- Attributes_(op),
- mOutput(std::make_shared<Tensor>(*op.mOutput))
- {
- // cpy-ctor
- setDatatype(op.mOutput->dataType());
- }
-
- /**
- * @brief Clone the operator using its copy-constructor.
- * @see Operator::Pad_Op
- */
- std::shared_ptr<Operator> clone() const override {
- return std::make_shared<Pad_Op<DIM>>(*this);
- }
-
- void associateInput(const IOIndex_t inputIdx, std::shared_ptr<Data> data) override final {
- assert(inputIdx < 1 && "operators supports only 3 inputs");
- (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()) {
- std::array<DimSize_t, DIM + 2> outputDims = {};
-
- for (std::size_t dim = 0; dim < DIM; ++dim) {
- outputDims[dim+2] = this->template getAttr<PadAttr::BeginEndBorders>()[dim][0]
- + mInput->dims()[dim+2]
- + this->template getAttr<PadAttr::BeginEndBorders>()[dim][1];
- }
- outputDims[1] = mInput->dims()[1];
- outputDims[0] = mInput->dims()[0];
- mOutput->resize(outputDims);
- }
- }
-
- bool outputDimsForwarded() const override final { return !(mOutput->empty()); }
-
-
- inline Tensor& input(const IOIndex_t inputIdx) const override final {
- assert(inputIdx == 0 && "operators supports only 1 inputs");
- (void) inputIdx; // avoid unused warning
- 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 && "Pad Operators supports only 1 inputs");
- (void) inputIdx; // avoid unused warning
- return mInput;
- }
- inline std::shared_ptr<Tensor> getOutput(const IOIndex_t outputIdx) const override final {
- assert(outputIdx == 0 && "Pad Operators has only 1 outputs");
- (void) outputIdx; // avoid unused warning
- return mOutput;
- }
-
-
- std::shared_ptr<Data> getRawInput(const IOIndex_t inputIdx) const override final {
- assert(inputIdx == 0 && "operators supports only 1 inputs");
- (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<Pad_Op<DIM>>::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; }
-};
-
-template <std::array<DimSize_t, 1>::size_type DIM>
-inline std::shared_ptr<Node> Pad(const std::array<std::array<DimSize_t, 2>, DIM> &beginEndTuples,
- const std::string& name = "",
- const PadBorderType &borderType = PadBorderType::Constant,
- double borderValue = 0.0)
-{
- static_assert(DIM<=MaxDim,"Too many kernel dimensions required by Pad, not supported");
- auto pad = std::make_shared<Node>(std::make_shared<Pad_Op<static_cast<DimIdx_t>(DIM)>>(beginEndTuples, borderType, borderValue), name);
- return pad;
-}
-
-template <std::array<DimSize_t, 1>::size_type DIM>
-inline std::shared_ptr<Node> Pad(const std::array<DimSize_t, DIM> &dimBeginEnd,
- const std::string& name = "",
- const PadBorderType &borderType = PadBorderType::Constant,
- double borderValue = 0.0)
-{
- static_assert(DIM<=MaxDim,"Too many kernel dimensions required by Pad, not supported");
- std::array<std::array<DimSize_t, 2>, DIM> beginEndTuples;
- for (size_t i = 0; i < DIM; ++i) {
- beginEndTuples[i] = {dimBeginEnd[i], dimBeginEnd[i]};
- }
- auto pad = std::make_shared<Node>(std::make_shared<Pad_Op<static_cast<DimIdx_t>(DIM)>>(beginEndTuples, borderType, borderValue), name);
- return pad;
-}
-
-template <std::array<DimSize_t, 1>::size_type DIM>
-inline std::shared_ptr<Node> ZeroPad(const std::array<std::array<DimSize_t, 2>, DIM> &beginEndTuples,
- const std::string& name = "")
-{
- static_assert(DIM<=MaxDim,"Too many kernel dimensions required by Pad, not supported");
- auto pad = std::make_shared<Node>(std::make_shared<Pad_Op<static_cast<DimIdx_t>(DIM)>>(beginEndTuples, PadBorderType::Constant, 0.0), name);
- return pad;
-}
-
-template <std::array<DimSize_t, 1>::size_type DIM>
-inline std::shared_ptr<Node> ZeroPad(const std::array<DimSize_t, DIM> &dimBeginEnd,
- const std::string& name = "")
-{
- static_assert(DIM<=MaxDim,"Too many kernel dimensions required by Pad, not supported");
- std::array<std::array<DimSize_t, 2>, DIM> beginEndTuples;
- for (size_t i = 0; i < DIM; ++i) {
- beginEndTuples[i] = {dimBeginEnd[i], dimBeginEnd[i]};
- }
- auto pad = std::make_shared<Node>(std::make_shared<Pad_Op<static_cast<DimIdx_t>(DIM)>>(beginEndTuples, PadBorderType::Constant, 0.0), name);
- return pad;
-}
-
-template <DimSize_t DIM>
-inline std::shared_ptr<Node> Pad(
- std::array<DimSize_t, 2> const (&beginEndTuples)[DIM],
- const std::string& name = "",
- const PadBorderType &borderType = PadBorderType::Constant,
- double borderValue = 0.0)
-{
- static_assert(DIM<=MaxDim,"Too many kernel dimensions required by Pad, not supported");
- return Pad(to_array(beginEndTuples), name, borderType, borderValue);
-}
-} // namespace Aidge
-
-namespace {
-template <>
-const char *const EnumStrings<Aidge::PadAttr>::data[] = {"BeginEndBorders", "BorderType", "BorderValue"};
-
-template <>
-const char *const EnumStrings<Aidge::PadBorderType>::data[] = {"Constant", "Replicate", "Reflect", "Wrap"};
-}
-
-#endif /* AIDGE_CORE_OPERATOR_PAD_H_ */