Remove Pad which is not part of this MR

include/aidge/operator/Pad.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_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_ */