.gitlab-ci.yml

@@ -12,19 +12,14 @@ stages:
   - deploy
 
 include:
-  - project: 'eclipse/aidge/gitlab_shared_files' 
+  - project: 'eclipse/aidge/gitlab_shared_files'
     ref: 'main'
-    file: 
-      # choose which jobs to run by including the corresponding files.
+    file: # choose which jobs to run by including the corresponding files.
       - '.gitlab/ci/ubuntu_cpp.gitlab-ci.yml'
 
       - '.gitlab/ci/ubuntu_python.gitlab-ci.yml'
-      - '.gitlab/ci/release/cibuildwheel_ubuntu.gitlab-ci.yml'   
+      - '.gitlab/ci/release/cibuildwheel_ubuntu.gitlab-ci.yml'
 
       - '.gitlab/ci/windows_cpp.gitlab-ci.yml'
-
-      - '.gitlab/ci/windows_python.gitlab-ci.yml'   
-      - '.gitlab/ci/release/cibuildwheel_windows.gitlab-ci.yml'   
-
-    
-
+      - '.gitlab/ci/windows_python.gitlab-ci.yml'
+      - '.gitlab/ci/release/cibuildwheel_windows.gitlab-ci.yml'

CMakeLists.txt

@@ -22,6 +22,9 @@ execute_process(
 message(STATUS "Latest git commit: ${GIT_COMMIT_HASH}")
 add_definitions(-DGIT_COMMIT_HASH="${GIT_COMMIT_HASH}")
 
+# helper for LSP users
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+
 # Note : project name is ${CMAKE_PROJECT_NAME} and python module name is also ${CMAKE_PROJECT_NAME}
 set(module_name _${CMAKE_PROJECT_NAME}) # target name
 set(pybind_module_name ${CMAKE_PROJECT_NAME}) # name of submodule for python bindings

include/aidge/backend/cpu.hpp

@@ -40,6 +40,7 @@
 #include "aidge/backend/cpu/operator/PowImpl.hpp"
 #include "aidge/backend/cpu/operator/ReduceMeanImpl.hpp"
 #include "aidge/backend/cpu/operator/ReduceSumImpl.hpp"
+#include "aidge/backend/cpu/operator/ResizeImpl.hpp"
 #include "aidge/backend/cpu/operator/ReLUImpl.hpp"
 #include "aidge/backend/cpu/operator/RoundImpl.hpp"
 #include "aidge/backend/cpu/operator/ScalingImpl.hpp"

include/aidge/backend/cpu/data/Interpolation.hpp

+/********************************************************************************
+ * Copyright (c) 2024 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_CPU_DATA_INTERPOLATION_H_
+#define AIDGE_CPU_DATA_INTERPOLATION_H_
+
+#include <vector>
+
+#include <aidge/data/Interpolation.hpp>
+#include <aidge/utils/Types.h>
+
+namespace Aidge {
+class InterpolationCPU : public Interpolation {
+  public:
+    /*
+     * @brief Interpolates values given via input in given mode.
+     *
+     * Values are contiguously arranged in a "square" shape around the point to
+     * interpolate. Depending on interpolation mode.
+     * The point that will be interpolated is located right in the
+     * middle of all points.
+     * Immediate neighbours :
+     * 1D interp :     2D interp :
+     *                 . . . . . .
+     * . . 1 2 . .     . . . . . .
+     *                 . . 1 2 . .
+     *                 . . 3 4 . .
+     *                 . . . . . .
+     *                 . . . . . .
+     *
+     * 2 neighbours :
+     * 1D interp :         2D interp :
+     *                   .  .  .  .  .  .  . .
+     *                   .  .  .  .  .  .  . .
+     * . . 1 2 3 4 . .   .  .  1  2  3  4  . .
+     *                   .  .  5  6  7  8  . .
+     *                   .  .  9 10 11 12  . .
+     *                   .  . 13 14 15 16  . .
+     *                   .  .  .  .  .  .  . .
+     *                   .  .  .  .  .  .  . .
+     *
+     * @param[in] originalCoords: coord of the point to interpolate in the
+     * original picture. These coords are generated with
+     * Interpolation::untransformCoords(coordsInInterpolatedTensor)
+     * @param[in] points : points to interpolate, arranged in a vector of a
+     * pairs ((point_coord), value) :
+     * [[[X1, X2, ..., XN], Xval], ...., [[A1, A2, ..., AN],Aval]].
+     * With :
+     * - N: the number of dimensions.
+     * - A: the number of points of the grid to interpolate.
+     * - All coordinates expressed in originalTensor frame.
+     * @param[in] interpMode: interpolation mode
+     * @return interpolated value
+     */
+    template <typename T>
+    static T interpolate(const std::vector<float> &coordsToInterpolate,
+                         const std::set<Point<T>> &points,
+                         const Mode interpMode = Interpolation::Mode::Linear);
+
+    /**
+     * @brief performs linear interpolation on given points.
+     * @param[in] values: values to interpolate, since we only do an average of
+     * all values, their indexes isn't useful.
+     * @return interpolated value
+     */
+    template <typename T>
+    static T linear(const std::vector<float> &originalCoords,
+                    const std::set<Point<T>> &points);
+
+    /**
+     * @brief performs nearest interpolation on given points.
+     * @note it is a wrapper for linearRecurse() private method
+     * @param[in] coordsToInterpolate: coordinates to interpolate
+     * @param[in] points: points to interpolate
+     * @param[in] interpMode: interpolation method, must be a Nearest...
+     * otherwise function will throw an error.
+     * @return interpolated value
+     */
+    template <typename T>
+    static T nearest(const std::vector<float> &coordsToInterpolate,
+                     const std::set<Point<T>> &points,
+                     const Interpolation::Mode nearestMode);
+
+  private:
+    /**
+     * @brief actual linear interpolation function.
+     * will :
+     * - Split all points along each dimension depending of if their coords at
+     * idx alongDim are above or under coordsToInterpolate until they are
+     * 1-to-1.
+     * - Perform interpolation in 2 leftover points and return interpolated
+     * point to parent call with a set of size 1.
+     * - repeat until all dimensions have been interpolated.
+     * @param[in] coordsToInterpolate: coordinates to interpolate
+     * @param[in] points: points to interpolate
+     * @param[in] alongDim: discriminant on along which dimension are being
+     * segregated.
+     * @return
+     */
+    template <typename T>
+    static std::set<Interpolation::Point<T>>
+    linearRecurse(const std::vector<float> &coordsToInterpolate,
+                  const std::set<Point<T>> &points,
+                  const DimIdx_t alongDim = 0);
+};
+
+} // namespace Aidge
+
+#endif // AIDGE_CPU_DATA_INTERPOLATION_H_

include/aidge/backend/cpu/operator/ResizeImpl.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_CPU_OPERATOR_RESIZEIMPL_H_
+#define AIDGE_CPU_OPERATOR_RESIZEIMPL_H_
+
+#include "aidge/backend/cpu/operator/OperatorImpl.hpp"
+#include "aidge/operator/Resize.hpp"
+#include "aidge/utils/Registrar.hpp"
+#include <aidge/data/Interpolation.hpp>
+#include <aidge/operator/Pad.hpp>
+#include <cstdint>
+
+namespace Aidge {
+// Operator implementation entry point for the backend
+using ResizeImpl_cpu = OperatorImpl_cpu<
+    Resize_Op,
+    void(const void *,                                  // input
+         const std::vector<DimSize_t> &,                // INput dims
+         const std::vector<DimSize_t> &,                // OUTput dims
+         const Interpolation::CoordinateTransformation, // coord transfo
+         const Interpolation::Mode,                     // interpolation mode
+         const PadBorderType,                           // padding mode
+         void *)>;                                      // output
+// Implementation entry point registration to Operator
+REGISTRAR(Resize_Op, "cpu", Aidge::ResizeImpl_cpu::create);
+} // namespace Aidge
+
+#endif /* AIDGE_CPU_OPERATOR_RESIZEIMPL_H_ */

include/aidge/backend/cpu/operator/ResizeImpl_kernels.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_CPU_OPERATOR_RESIZEIMPL_FORWARD_KERNEL_H_
+#define AIDGE_CPU_OPERATOR_RESIZEIMPL_FORWARD_KERNEL_H_
+
+#include "aidge/backend/cpu/operator/ResizeImpl.hpp"
+
+#include <aidge/data/Data.hpp>
+#include <aidge/data/half.hpp>
+#include <aidge/operator/Pad.hpp>
+#include <cmath>
+#include <cstdint>
+#include <numeric>
+
+#include "aidge/backend/cpu/data/Interpolation.hpp"
+#include "aidge/data/Interpolation.hpp"
+#include "aidge/data/Tensor.hpp"
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/utils/Types.h"
+
+namespace Aidge {
+
+template <typename IO>
+void ResizeImpl_cpu_forward_kernel(
+    const void *input_,
+    const std::vector<DimSize_t> &inputDims,
+    const std::vector<DimSize_t> &outputDims,
+    const Interpolation::CoordinateTransformation coordTransfoMode,
+    const Interpolation::Mode interpMode,
+    const PadBorderType paddingMode,
+    // const double * /*roi*/,
+    // const float * /*scales*/,
+    // const int64_t * /*sizes*/,
+    void *output_) {
+
+    // Seting a data
+    const IO *input = static_cast<const IO *>(input_);
+    IO *output = static_cast<IO *>(output_);
+
+    const DimSize_t outputLen = std::accumulate(outputDims.cbegin(),
+                                          outputDims.cend(),
+                                          1,
+                                          std::multiplies<DimSize_t>());
+    std::vector<float> coordInApprox(inputDims.size());
+    std::vector<std::size_t> coordIn(inputDims.size());
+    std::vector<DimSize_t> coordOut;
+    for (DimSize_t idxFlatOut = 0; idxFlatOut < outputLen; ++idxFlatOut) {
+        coordOut = Tensor::toCoord(outputDims, idxFlatOut);
+        coordInApprox =
+            Interpolation::untransformCoordinates(coordOut,
+                                                  inputDims,
+                                                  outputDims,
+                                                  coordTransfoMode);
+        if ((interpMode == Interpolation::Mode::Ceil) || (interpMode == Interpolation::Mode::Floor) || (interpMode == Interpolation::Mode::RoundPreferCeil) || (interpMode == Interpolation::Mode::RoundPreferFloor)) {
+            for (std::size_t i = 0; i < coordInApprox.size(); ++i) {
+                if (interpMode == Interpolation::Mode::Ceil) {
+                    coordInApprox[i] = std::ceil(coordInApprox[i]);
+                } else if (interpMode == Interpolation::Mode::Floor) {
+                    coordInApprox[i] = std::floor(coordInApprox[i]);
+                } else if (interpMode == Interpolation::Mode::RoundPreferCeil) {
+                    coordInApprox[i] = std::floor(coordInApprox[i] + 0.5f);
+                } else { // (interpMode == Interpolation::Mode::RoundPreferFloor)
+                    coordInApprox[i] = std::ceil(coordInApprox[i] - 0.5f);
+                }
+            }
+            if (Tensor::isInBounds<float>(inputDims, coordInApprox)) {
+                for (std::size_t i = 0; i < coordInApprox.size(); ++i) {
+                    coordIn[i] = static_cast<std::size_t>(coordInApprox[i]);
+                }
+            } else {
+                if (paddingMode == PadBorderType::Edge) {
+                    for (std::size_t i = 0; i < coordInApprox.size(); ++i) {
+                        coordIn[i] = coordInApprox[i] < 0 ? 0 : (coordInApprox[i] >=inputDims[i] ? inputDims[i] - 1 : static_cast<std::size_t>(coordInApprox[i]));
+                    }
+                } else {
+                    AIDGE_THROW_OR_ABORT(std::runtime_error, "Padding mode not supported");
+                }
+            }
+            output[idxFlatOut] = input[Tensor::toIndex(inputDims, coordIn)];
+        } else {
+            std::set<Interpolation::Point<IO>> neighbours =
+                InterpolationCPU::retrieveNeighbours(input,
+                                                     inputDims,
+                                                     coordInApprox,
+                                                     paddingMode);
+            output[idxFlatOut] = InterpolationCPU::interpolate(coordInApprox,
+                                                               neighbours,
+                                                               interpMode);
+        }
+    }
+    return;
+}
+// Kernels registration to implementation entry point
+REGISTRAR(ResizeImpl_cpu,
+          {{{DataType::Int16},
+            {DataType::Float32},
+            {DataType::Float32},
+            {DataType::UInt64}},
+           {DataType::Int16}},
+          {ProdConso::inPlaceModel,
+           ResizeImpl_cpu_forward_kernel<int16_t>,
+           nullptr});
+REGISTRAR(ResizeImpl_cpu,
+          {{{DataType::Int32},
+            {DataType::Float32},
+            {DataType::Float32},
+            {DataType::UInt64}},
+           {DataType::Int32}},
+          {ProdConso::inPlaceModel,
+           ResizeImpl_cpu_forward_kernel<int32_t>,
+           nullptr});
+REGISTRAR(ResizeImpl_cpu,
+          {{{DataType::Int64},
+            {DataType::Float32},
+            {DataType::Float32},
+            {DataType::Int64}},
+           {DataType::UInt64}},
+          {ProdConso::inPlaceModel,
+           ResizeImpl_cpu_forward_kernel<int64_t>,
+           nullptr});
+
+REGISTRAR(ResizeImpl_cpu,
+          {{{DataType::Float16},
+            {DataType::Float32},
+            {DataType::Float32},
+            {DataType::UInt64}},
+           {DataType::Float16}},
+          {ProdConso::inPlaceModel,
+           ResizeImpl_cpu_forward_kernel<half_float::half>,
+           nullptr});
+REGISTRAR(ResizeImpl_cpu,
+          {{{DataType::Float32},
+            {DataType::Float32},
+            {DataType::Float32},
+            {DataType::UInt64}},
+           {DataType::Float32}},
+          {ProdConso::inPlaceModel,
+           ResizeImpl_cpu_forward_kernel<float>,
+           nullptr});
+REGISTRAR(ResizeImpl_cpu,
+          {{{DataType::Float64},
+            {DataType::Float32},
+            {DataType::Float32},
+            {DataType::UInt64}},
+           {DataType::Float64}},
+          {ProdConso::inPlaceModel,
+           ResizeImpl_cpu_forward_kernel<double>,
+           nullptr});
+} // namespace Aidge
+
+#endif /* AIDGE_CPU_OPERATOR_RESIZEIMPL_FORWARD_KERNEL_H_ */

src/data/Interpolation.cpp

+/********************************************************************************
+ * Copyright (c) 2024 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 "aidge/backend/cpu/data/Interpolation.hpp"
+
+#include <aidge/utils/Log.hpp>
+#include <algorithm>
+#include <cmath>
+#include <cstdint>
+
+#include <iterator>
+#include <stdexcept>
+#include <utility>
+#include <vector>
+
+#include <aidge/data/Interpolation.hpp>
+#include <aidge/data/half.hpp>
+#include <aidge/utils/ErrorHandling.hpp>
+#include <aidge/utils/Types.h>
+
+namespace Aidge {
+
+template <typename T>
+std::set<Interpolation::Point<T>>
+InterpolationCPU::linearRecurse(const std::vector<float> &coordToInterpolate,
+                                const std::set<Point<T>> &points,
+                                const DimIdx_t alongDim) {
+
+    // all points have been discriminated properly along given dimension.
+    if (points.size() == 1) {
+        return points;
+    }
+
+    auto extractPtCoords = [](std::set<Point<T>> pts) -> std::set<Coords> {
+        std::set<Coords> result;
+        for (const auto &pt : pts) {
+            result.insert(pt.first);
+        }
+        return result;
+    };
+    ///////////////////
+    // ERROR CHECKING
+    if (alongDim > coordToInterpolate.size() || points.size() == 0) {
+        // retrieving points coords as points values can be in half_float &
+        // this type is not fmt compatible
+        std::vector<Coords> pointsCoords;
+        for (const auto &point : points) {
+            pointsCoords.push_back(point.first);
+        }
+        AIDGE_ASSERT(
+            alongDim >= coordToInterpolate.size(),
+            "InterpolationCPU::linearInterpolationRecurse: alongDim value "
+            "exceeded exceeded number of dimensions of coordsTointerpolate. "
+            "Interpolation has failed. Input values : \n - "
+            "coordsToInterpolate {}\n - pointsToInterpolate {}\n - alongDim "
+            "{}",
+            coordToInterpolate,
+            pointsCoords,
+            alongDim);
+        AIDGE_ASSERT(
+            points.size() == 0,
+            "InterpolationCPU::linearInterpolationRecurse: entering recursive "
+            "function with 0 points. Interpolation has failed."
+            "Please file a bug report to aidge_backend_cpu repo: "
+            "https://gitlab.eclipse.org/eclipse/aidge/aidge_backend_cpu/-/"
+            "issues."
+            "\nInput values : \n - "
+            "coordsToInterpolate {}\n - pointsToInterpolate {}\n - alongDim "
+            "{}",
+            coordToInterpolate,
+            pointsCoords,
+            alongDim);
+    }
+    Log::debug("\nEntering linear recurse with {} points.", points.size());
+    Log::debug("Points : {}", extractPtCoords(points));
+    Log::debug("coordsToInterpolate : {}", coordToInterpolate);
+    Log::debug("alongDim : {}", alongDim);
+
+    ///////////////////
+    // COMPUTATION
+    // split  all points along each dimension
+    // depending on if their coords[alongDim] are above or under
+    // coords to interpolate values
+    std::set<Point<T>> lowerPoints;
+    std::set<Point<T>> upperPoints;
+    for (const auto &point : points) {
+        if (point.first[alongDim] <= coordToInterpolate[alongDim]) {
+            lowerPoints.insert(point);
+        } else {
+            upperPoints.insert(point);
+        }
+    }
+    Log::debug("alongDim : {}", alongDim);
+    Log::debug("lowerPoints : {}", extractPtCoords(lowerPoints));
+    Log::debug("upperPoints : {}", extractPtCoords(upperPoints));
+
+    // Here are 3 cases
+    // 1. upper/lowerPoints.size() == 0
+    //        Coordinates to interpolate along current dimension are round.
+    //        That would be equivalent to a linear interpolation with a
+    //        ponderation of 1 for lowerPoints & 0 for upperPoints(or the
+    //        opposite idk), hence we will only take lower/upperPoints values
+    //        from there.
+    //
+    //        Why this happens :
+    //        If coordinates are round, the floor()/ceil() operations called
+    //        in retrieveNeighbours to generate direct neighbours of floating
+    //        coordinates returned the same value.
+    //
+    // 2. lower/upperPoints.size() == 1
+    //        All dimensions have been discriminated, we can proceed to
+    //        weighted interpolation
+    //
+    // 3. lower/upperPoints.size() > 1
+    //        points have not been all discriminated and must be further split
+    //        so we call linearRecurse()
+    switch (lowerPoints.size()) {
+        case 0: {
+            return linearRecurse(coordToInterpolate, upperPoints, alongDim + 1);
+        }
+        case 1: {
+            break;
+        }
+        default: {
+            lowerPoints =
+                linearRecurse(coordToInterpolate, lowerPoints, alongDim + 1);
+            break;
+        }
+    }
+
+    switch (upperPoints.size()) {
+        case 0: {
+            return linearRecurse(coordToInterpolate, lowerPoints, alongDim + 1);
+        }
+        case 1: {
+            break;
+        }
+        default: {
+            upperPoints =
+                linearRecurse(coordToInterpolate, upperPoints, alongDim + 1);
+            break;
+        }
+    }
+
+    // At this point lowerPoints & upperPoints are garanteed to be
+    // 1 sized arrays
+    AIDGE_ASSERT(lowerPoints.size() == 1,
+                 "LowerPoints Size = {} != 1",
+                 lowerPoints.size());
+    AIDGE_ASSERT(upperPoints.size() == 1,
+                 "upperPoints Size = {} != 1",
+                 upperPoints.size());
+
+    //     ( point[dim] - Pl[dim] )
+    // t = ------------------------
+    //      ( Pu[dim] - Pl[dim] )
+    float weight =
+        (coordToInterpolate[alongDim] - lowerPoints.begin()->first[alongDim]) /
+        (upperPoints.begin()->first[alongDim] -
+         lowerPoints.begin()->first[alongDim]);
+
+    Point<T> interpolatedPoint = std::make_pair(
+        lowerPoints.begin()->first,
+        static_cast<T>((1.F - weight) * lowerPoints.begin()->second +
+                       weight * upperPoints.begin()->second));
+    // 0 is just a sanity check to ensure later that all dims have been
+    // interpolate
+    interpolatedPoint.first[alongDim] = 0;
+    Log::debug("successfully returned from alongDim : {}", alongDim);
+    return std::set<Point<T>>({interpolatedPoint});
+}
+
+template <typename T>
+T InterpolationCPU::linear(const std::vector<float> &coordToInterpolate,
+                           const std::set<Point<T>> &pointsToInterpolate) {
+
+    auto result = linearRecurse(coordToInterpolate, pointsToInterpolate, 0);
+    AIDGE_ASSERT(result.size() == 1,
+                 "Result size is not 1 but {}",
+                 result.size());
+    // if (!std::all_of(result.begin()->first.begin(),
+    //                  result.begin()->first.end(),
+    //                  [](DimSize_t coord) -> bool { return coord == 0; })) {
+    //     std::vector<Coords> ptCoords;
+    //     std::transform(pointsToInterpolate.begin(),
+    //                    pointsToInterpolate.end(),
+    //                    std::back_inserter(ptCoords),
+    //                    [](Point<T> pt) { return pt.first; });
+    //     AIDGE_THROW_OR_ABORT(std::runtime_error,
+    //                          "Not all dimensions have been interpolated."
+    //                          "Input data :"
+    //                          "\n\t coord to interpolate : {}"
+    //                          "\n\t pointsToInterpolate : {}",
+    //                          //        "\n\tAll non 0 values show dimensions
+    //                          //        that were not interpolated : {}",
+    //                          coordToInterpolate,
+    //                          ptCoords //,
+    //                                   // result.begin()->first
+    //     );
+    // }
+    return result.begin()->second;
+}
+
+template <typename T>
+T InterpolationCPU::nearest(const std::vector<float> &coordsToInterpolate,
+                            const std::set<Point<T>> &points,
+                            const Interpolation::Mode nearestMode) {
+
+    AIDGE_ASSERT(
+        coordsToInterpolate.size() == points.begin()->first.size(),
+        "Interpolation::nearest(): dimension mismatch : coordinate "
+        "to interpolate ({}) have not the same number of dimensions than "
+        "the points to interpolate({}).",
+        coordsToInterpolate,
+        points.begin()->first);
+    std::function<int64_t(const float &)> updateCoordinates;
+    switch (nearestMode) {
+    case Interpolation::Mode::Ceil: {
+        updateCoordinates = [](const float &coord) -> int64_t {
+            return ceil(coord);
+        };
+        break;
+    }
+    case Interpolation::Mode::Floor: {
+        updateCoordinates = [](const float &coord) -> int64_t {
+            return floor(coord);
+        };
+        break;
+    }
+    case Interpolation::Mode::RoundPreferFloor: {
+        updateCoordinates = [](const float &coord) -> int64_t {
+            return (coord - floor(coord)) == 0.5 ? floor(coord)
+                                                 : std::round(coord);
+        };
+        break;
+    }
+    case Interpolation::Mode::RoundPreferCeil: {
+        updateCoordinates = [](const float &coord) -> int64_t {
+            return (coord - floor(coord)) == 0.5 ? ceil(coord)
+                                                 : std::round(coord);
+        };
+        break;
+    }
+    default: {
+        AIDGE_THROW_OR_ABORT(
+            std::runtime_error,
+            "Invalid Interpolation mode for "
+            "InterpolationCPU::interpolateNearest. Accepted modes are : "
+            "Ceil({}),Floor({}),RoundPreferCeil({}), "
+            "RoundPreferFloor({}). Got {}.",
+            static_cast<int>(Ceil),
+            static_cast<int>(Floor),
+            static_cast<int>(RoundPreferCeil),
+            static_cast<int>(RoundPreferFloor),
+            static_cast<int>(nearestMode));
+    }
+    }
+    Coords nearestCoords;
+    nearestCoords.reserve(coordsToInterpolate.size());
+    for (const auto &coord : coordsToInterpolate) {
+        nearestCoords.push_back(updateCoordinates(coord));
+    }
+    auto it = std::find_if(
+        points.begin(),
+        points.end(),
+        [nearestCoords](auto &point) { return nearestCoords == point.first; });
+    if (it != points.end()) {
+        return it->second;
+    } else {
+        Log::warn("Interpolate::nearest(): did not find a fitting point in "
+                  "the neighbours whose coordinates were {}, returning 0. "
+                  "Available neighbours are at following indexes: ",
+                  coordsToInterpolate);
+        for (const auto &point : points) {
+            Log::warn("idx : [{}]\t\tvalue {}", point.first);
+        }
+        return static_cast<T>(0);
+    }
+}
+
+template <typename T>
+T InterpolationCPU::interpolate(const std::vector<float> &coordsToInterpolate,
+                                const std::set<Point<T>> &points,
+                                const Mode interpMode) {
+
+    T result{0};
+    switch (interpMode) {
+    case Interpolation::Mode::Cubic: {
+        AIDGE_THROW_OR_ABORT(
+            std::runtime_error,
+            "Unsupported interpolation mode selected : Cubic.");
+        break;
+    }
+    case Interpolation::Mode::Linear: {
+        return linear(coordsToInterpolate, points);
+        break;
+    }
+    case Interpolation::Mode::Ceil:
+    case Interpolation::Mode::Floor:
+    case Interpolation::Mode::RoundPreferFloor:
+    case Interpolation::Mode::RoundPreferCeil: {
+        result =
+            InterpolationCPU::nearest(coordsToInterpolate, points, interpMode);
+        break;
+    }
+    default: {
+        AIDGE_THROW_OR_ABORT(std::runtime_error,
+                             "InterpolationCPU::Interpolate({}): Unsupported "
+                             "interpolation mode given as input.",
+                             static_cast<int>(interpMode));
+        break;
+    }
+    }
+    return result;
+}
+
+//////////////////////////////////////////////////////////////////////////////////////////////////////
+// TEMPLATE DECLARATION
+//////////////////////////////////////////////////////////////////////////////////////////////////////
+
+//////////////////////////////////
+// INTERPOLATE
+template int8_t InterpolationCPU::interpolate<int8_t>(
+    const std::vector<float> &originalCoords,
+    const std::set<Point<int8_t>> &points,
+    const Mode interpMode);
+template int16_t InterpolationCPU::interpolate<int16_t>(
+    const std::vector<float> &originalCoords,
+    const std::set<Point<int16_t>> &points,
+    const Mode interpMode);
+template int32_t InterpolationCPU::interpolate<int32_t>(
+    const std::vector<float> &originalCoords,
+    const std::set<Point<int32_t>> &points,
+    const Mode interpMode);
+template int64_t InterpolationCPU::interpolate<int64_t>(
+    const std::vector<float> &originalCoords,
+    const std::set<Point<int64_t>> &points,
+    const Mode interpMode);
+
+template half_float::half InterpolationCPU::interpolate<half_float::half>(
+    const std::vector<float> &originalCoords,
+    const std::set<Point<half_float::half>> &points,
+    const Mode interpMode);
+template float InterpolationCPU::interpolate<float>(
+    const std::vector<float> &originalCoords,
+    const std::set<Point<float>> &points,
+    const Mode interpMode);
+template double InterpolationCPU::interpolate<double>(
+    const std::vector<float> &originalCoords,
+    const std::set<Point<double>> &points,
+    const Mode interpMode);
+
+////////////////////////////////////////////////////////////////////
+// INTERPOLATE LINEAR (& its associated recursive function)
+template int8_t
+InterpolationCPU::linear(const std::vector<float> &coordsToInterpolate,
+                         const std::set<Point<int8_t>> &points);
+template std::set<Interpolation::Point<int8_t>>
+InterpolationCPU::linearRecurse(const std::vector<float> &coordsToInterpolate,
+                                const std::set<Point<int8_t>> &points,
+                                DimIdx_t alongDim);
+template int16_t
+InterpolationCPU::linear(const std::vector<float> &coordsToInterpolate,
+                         const std::set<Point<int16_t>> &points);
+template std::set<Interpolation::Point<int16_t>>
+InterpolationCPU::linearRecurse(const std::vector<float> &coordsToInterpolate,
+                                const std::set<Point<int16_t>> &points,
+                                DimIdx_t alongDim);
+template int32_t
+InterpolationCPU::linear(const std::vector<float> &coordsToInterpolate,
+                         const std::set<Point<int32_t>> &points);
+template std::set<Interpolation::Point<int32_t>>
+InterpolationCPU::linearRecurse(const std::vector<float> &coordsToInterpolate,
+                                const std::set<Point<int32_t>> &points,
+                                DimIdx_t alongDim);
+
+template half_float::half
+InterpolationCPU::linear(const std::vector<float> &coordsToInterpolate,
+                         const std::set<Point<half_float::half>> &points);
+template std::set<Interpolation::Point<half_float::half>>
+InterpolationCPU::linearRecurse(
+    const std::vector<float> &coordsToInterpolate,
+    const std::set<Point<half_float::half>> &points,
+    DimIdx_t alongDim);
+template float
+InterpolationCPU::linear(const std::vector<float> &coordsToInterpolate,
+                         const std::set<Point<float>> &points);
+template std::set<Interpolation::Point<float>>
+InterpolationCPU::linearRecurse(const std::vector<float> &coordsToInterpolate,
+                                const std::set<Point<float>> &points,
+                                DimIdx_t alongDim);
+template double
+InterpolationCPU::linear(const std::vector<float> &coordsToInterpolate,
+                         const std::set<Point<double>> &points);
+template std::set<Interpolation::Point<double>>
+InterpolationCPU::linearRecurse(const std::vector<float> &coordsToInterpolate,
+                                const std::set<Point<double>> &points,
+                                DimIdx_t alongDim);
+
+//////////////////////////////////
+// INTERPOLATE NEAREST
+template int8_t
+InterpolationCPU::nearest(const std::vector<float> &originalCoords,
+                          const std::set<Point<int8_t>> &points,
+                          const Interpolation::Mode nearestMode);
+template int16_t
+InterpolationCPU::nearest(const std::vector<float> &originalCoords,
+                          const std::set<Point<int16_t>> &points,
+                          const Interpolation::Mode nearestMode);
+template int32_t
+InterpolationCPU::nearest(const std::vector<float> &originalCoords,
+                          const std::set<Point<int32_t>> &points,
+                          const Interpolation::Mode nearestMode);
+
+template half_float::half
+InterpolationCPU::nearest(const std::vector<float> &originalCoords,
+                          const std::set<Point<half_float::half>> &points,
+                          const Interpolation::Mode nearestMode);
+template float
+InterpolationCPU::nearest(const std::vector<float> &originalCoords,
+                          const std::set<Point<float>> &points,
+                          const Interpolation::Mode nearestMode);
+template double
+InterpolationCPU::nearest(const std::vector<float> &originalCoords,
+                          const std::set<Point<double>> &points,
+                          const Interpolation::Mode nearestMode);
+
+} // namespace Aidge

src/operator/ResizeImpl.cpp

+/********************************************************************************
+ * 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 "aidge/backend/cpu/operator/ResizeImpl.hpp"
+#include "aidge/backend/cpu/operator/ResizeImpl_kernels.hpp"
+#include "aidge/operator/Resize.hpp"
+
+#include <cassert>
+#include <cstdint>
+#include <sys/stat.h>
+
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/utils/ErrorHandling.hpp"
+
+namespace Aidge {
+
+template <> void ResizeImpl_cpu::forward() {
+    auto &op = dynamic_cast<const Resize_Op &>(mOp);
+
+    /** @brief input #0 */
+    int8_t idxData = 0;
+
+    const bool input0DataPresent =
+        op.getInput(idxData) && !op.getInput(idxData)->undefined();
+
+    ///////////////////////////////////////
+    // CHECKING NODE CONNECTIONS
+    AIDGE_ASSERT(input0DataPresent, "{}: missing data input #0", op.type());
+
+    ///////////////////////////////////////
+    // CALL TO FORWARD
+    const auto impl =
+        Registrar<ResizeImpl_cpu>::create(getBestMatch(getRequiredSpec()));
+
+    impl.forward(op.getInput(idxData)->getImpl()->rawPtr(),
+                 op.getInput(idxData)->dims(),
+                 op.getOutput(0)->dims(),
+
+                 op.coordinateTransformationMode(),
+                 op.interpolationMode(),
+                 op.paddingMode(),
+
+                 op.getOutput(0)->getImpl()->rawPtr() // output pointer
+    );
+}
+
+template <> void Aidge::ResizeImpl_cpu::backward() {
+    AIDGE_THROW_OR_ABORT(
+        std::runtime_error,
+        "Backward not yet implemented for Slice_Op on backend cpu");
+}
+} // namespace Aidge

unit_tests/data/Test_Interpolation.cpp

+/********************************************************************************
+ * 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 <aidge/backend/cpu/data/Interpolation.hpp>
+#include <aidge/data/Interpolation.hpp>
+#include <aidge/data/Tensor.hpp>
+#include <aidge/filler/Filler.hpp>
+#include <aidge/utils/Types.h>
+#include <catch2/catch_test_macros.hpp>
+#include <limits>
+
+#include "aidge/backend/cpu/data/Interpolation.hpp"
+
+namespace Aidge {
+
+TEST_CASE("Interpolation", "[Interpolation][Data]") {
+
+    SECTION("Linear") {
+        std::set<Interpolation::Point<int>> pointsToInterpolateInt;
+        std::set<Interpolation::Point<float>> pointsToInterpolateFloat;
+
+        SECTION("1D") {
+            pointsToInterpolateInt =
+                std::set<Interpolation::Point<int>>({{{0}, 10}, {{1}, 20}});
+            CHECK(abs(InterpolationCPU::linear({0.5}, pointsToInterpolateInt) -
+                      15) <= std::numeric_limits<int>::epsilon());
+
+            pointsToInterpolateFloat = std::set<Interpolation::Point<float>>(
+                {{{0}, .0F}, {{1}, 0.2F}});
+            CHECK(fabs(InterpolationCPU::linear({0.3},
+                                                pointsToInterpolateFloat) -
+                       .06F) <= 1e-5);
+        }
+        SECTION("2D") {
+            // example taken from
+            // https://en.wikipedia.org/wiki/Bilinear_interpolation
+            pointsToInterpolateFloat = {{{14, 20}, 91.F},
+                                        {{14, 21}, 162.F},
+                                        {{15, 20}, 210.F},
+                                        {{15, 21}, 95.F}};
+            CHECK(fabs(InterpolationCPU::linear<float>(
+                           {14.5F, 20.2F},
+                           pointsToInterpolateFloat) -
+                       146.1) < 1e-5);
+            // pointsToInterpolateFloat = {{{0, 0}, .10F},
+            //                             {{0, 1}, .20F},
+            //                             {{1, 0}, .30F},
+            //                             {{1, 1}, .40F}};
+            // CHECK(abs(InterpolationCPU::linear<float>({1.5, 0.5},
+            //                                         pointsToInterpolateInt)
+            //                                         -
+            //           25) < std::numeric_limits<int>::epsilon());
+
+            // pointsToInterpolateFloat = std::vector({0.1F, 0.2F, 0.3F,
+            // 0.4F}); CHECK(InterpolationCPU::linear(pointsToInterpolateFloat)
+            // == .25f);
+        }
+        SECTION("3D") {
+            pointsToInterpolateFloat = {{{0, 0, 0}, .1F},
+                                        {{0, 0, 1}, .2F},
+                                        {{0, 1, 0}, .3F},
+                                        {{0, 1, 1}, .4F},
+                                        {{1, 0, 0}, .5F},
+                                        {{1, 0, 1}, .6F},
+                                        {{1, 1, 0}, .7F},
+                                        {{1, 1, 1}, .8F}};
+            CHECK(fabs(InterpolationCPU::linear({.5, .5, .5},
+                                                pointsToInterpolateFloat) -
+                       .45f) < 1e-5);
+        }
+        SECTION("4D") {
+            SECTION("Casual") {
+                pointsToInterpolateFloat = {{{0, 0, 0, 0}, .1F},
+                                            {{0, 0, 0, 1}, .2F},
+                                            {{0, 0, 1, 0}, .3F},
+                                            {{0, 0, 1, 1}, .4F},
+                                            {{0, 1, 0, 0}, .5F},
+                                            {{0, 1, 0, 1}, .6F},
+                                            {{0, 1, 1, 0}, .7F},
+                                            {{0, 1, 1, 1}, .8F},
+                                            {{1, 0, 0, 0}, .9F},
+                                            {{1, 0, 0, 1}, 1.F},
+                                            {{1, 0, 1, 0}, 1.1F},
+                                            {{1, 0, 1, 1}, 1.2F},
+                                            {{1, 1, 0, 0}, 1.3F},
+                                            {{1, 1, 0, 1}, 1.4F},
+                                            {{1, 1, 1, 0}, 1.5F},
+                                            {{1, 1, 1, 1}, 1.6F}};
+                CHECK(fabs(InterpolationCPU::linear<float>(
+                               {.5, .5, .5, .5},
+                               pointsToInterpolateFloat) -
+                           .85f) < 0.0001);
+            }
+        }
+        SECTION("Some of the coords to interpolate were round") {
+            // In this case retrieveNeighbours()
+            //  only retrieved the neighbours against not round dimensions
+            auto tensor =
+                std::make_shared<Tensor>(std::vector<DimSize_t>({10, 10}));
+            tensor->setDataType(DataType::Float32);
+            tensor->setBackend("cpu");
+            Aidge::constantFiller(tensor, 1337.F);
+
+            std::set<Interpolation::Point<float>> expectedResult = {
+                {{0, 0, -1, -1}, 0.F},
+                {{0, 0, 0, -1}, 0.F},
+                {{0, 0, -1, 0}, 0.F},
+                {{0, 0, 0, 0}, 1337.F}};
+
+            pointsToInterpolateFloat = Interpolation::retrieveNeighbours(
+                reinterpret_cast<float *>(tensor->getImpl()->rawPtr()),
+                tensor->dims(),
+                std::vector<float>({0.F, 0.F, -0.25F, -0.25F}));
+
+            pointsToInterpolateFloat = {{{0, 0, -1, -1}, 1337.F},
+                                        {{0, 0, 0, -1}, 1337.F},
+                                        {{0, 0, -1, 0}, 1337.F},
+                                        {{0, 0, 0, 0}, 1337.F}};
+        }
+    }
+    SECTION("Nearest") {
+        std::set<Interpolation::Point<float>> pointsToInterpolate;
+        std::vector<float> coordToInterpolate;
+        SECTION("1D") {
+            coordToInterpolate = {0.5F};
+            pointsToInterpolate =
+                std::set<Interpolation::Point<float>>{{{0}, 1.0F},
+                                                      {{1}, 2.0F},
+                                                      {{2}, 3.0F},
+                                                      {{3}, 4.0F},
+                                                      {{4}, 5.0F}};
+
+            SECTION("Floor") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::Floor) == 1);
+            }
+            SECTION("Ceil") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::Ceil) == 2);
+            }
+            SECTION("RoundPreferFloor") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::RoundPreferFloor) == 1);
+            }
+            SECTION("RoundPreferCeil") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::RoundPreferCeil) == 2);
+            }
+        }
+        SECTION("2D") {
+            coordToInterpolate = {2.5F, 3.97F};
+            pointsToInterpolate = {{{0, 0}, 10.0},
+                                   {{1, 1}, 20.0},
+                                   {{2, 3}, 30.0},
+                                   {{2, 4}, 40.0},
+                                   {{3, 3}, 50.0},
+                                   {{3, 4}, 60.0}};
+            SECTION("Floor") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::Floor) == 30.);
+            }
+            SECTION("Ceil") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::Ceil) == 60.);
+            }
+            SECTION("RoundPreferFloor") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::RoundPreferFloor) ==
+                      40.);
+            }
+            SECTION("RoundPreferCeil") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::RoundPreferCeil) == 60.);
+            }
+        }
+        SECTION("3D") {
+            coordToInterpolate = {1.9, 2.1, 3.6};
+            pointsToInterpolate = {{{0, 0, 0}, 5.0},
+                                   {{1, 2, 3}, 10.0},
+                                   {{2, 1, 4}, 20.0},
+                                   {{2, 2, 4}, 30.0},
+                                   {{2, 3, 3}, 40.0},
+                                   {{2, 3, 4}, 50.0},
+                                   {{3, 3, 4}, 60.0}};
+            SECTION("Floor") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::Floor) == 10.);
+            }
+            SECTION("Ceil") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::Ceil) == 50.);
+            }
+            SECTION("RoundPreferFloor") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::RoundPreferFloor) ==
+                      30.);
+            }
+            SECTION("RoundPreferCeil") {
+                CHECK(InterpolationCPU::nearest(
+                          coordToInterpolate,
+                          pointsToInterpolate,
+                          Interpolation::Mode::RoundPreferCeil) == 30.);
+            }
+        }
+    }
+}
+} // namespace Aidge

unit_tests/data/Test_TensorImpl.cpp

@@ -25,7 +25,7 @@
 
 namespace Aidge {
 
-TEST_CASE("Test addition of Tensors","[TensorImpl][Add]") {
+TEST_CASE("Test addition of Tensors","[TensorImpl][Add][Data]") {
     constexpr std::uint16_t NBTRIALS = 10;
     // Create a random number generator
     std::random_device rd;

unit_tests/operator/Test_ResizeImpl.cpp

+/********************************************************************************
+ * 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 <cstdint>
+#include <memory>
+
+#include <aidge/data/Data.hpp>
+#include <aidge/data/Interpolation.hpp>
+#include <aidge/data/half.hpp>
+#include <aidge/operator/Pad.hpp>
+#include <aidge/utils/ArrayHelpers.hpp>
+#include <catch2/catch_test_macros.hpp>
+
+#include "aidge/data/Tensor.hpp"
+#include "aidge/operator/OperatorTensor.hpp"
+#include "aidge/operator/Resize.hpp"
+#include "aidge/utils/TensorUtils.hpp"
+
+namespace Aidge {
+
+TEST_CASE("[cpu/operator] Resize(forward)", "[Resize][CPU]") {
+
+    Log::setConsoleLevel(Log::Level::Debug);
+
+    SECTION("Nearest") {
+        SECTION("Ceil") {
+            std::shared_ptr<Tensor> input_tensor = std::make_shared<Tensor>(Array4D<std::int32_t, 1, 1, 2, 2>{{
+                {
+                    {
+                        { 1, 2},
+                        { 3, 4}
+                    }
+                }
+            }});
+            Tensor expected_out_tensor = Tensor(Array4D<std::int32_t, 1, 1, 4, 4>{{
+                {
+                    {
+                        { 1, 1, 1, 2},
+                        { 1, 1, 1, 2},
+                        { 1, 1, 1, 2},
+                        { 3, 3, 3, 4}
+                    }
+                }
+            }});
+
+            std::vector<float> scales = {1.0f, 1.0f, 2.0f, 2.0f};
+            auto resize_node = Resize(scales, {}, Interpolation::CoordinateTransformation::HalfPixel, Interpolation::Mode::Floor);
+            auto op = std::static_pointer_cast<Resize_Op>(resize_node->getOperator());
+            op->associateInput(0, input_tensor);
+
+
+            op->setDataType(DataType::Int32);
+            op->setBackend("cpu");
+            op->forwardDims(true);
+            op->forward();
+
+            op->getOutput(0)->print();
+            expected_out_tensor.print();
+
+            CHECK(*(op->getOutput(0)) == expected_out_tensor);
+        }
+    }
+
+    SECTION("1-sized input tensor (upscaling)") {
+        std::shared_ptr<Tensor> input_tensor = std::make_shared<Tensor>(Array4D<float, 1, 1, 1, 1>{{{{{0.417022}}}}});
+
+        std::vector<std::size_t> sizes = {1, 1, 2, 2};
+        auto resize_node = Resize({}, sizes, Interpolation::CoordinateTransformation::HalfPixel, Interpolation::Mode::Linear);
+        auto op = std::static_pointer_cast<Resize_Op>(resize_node->getOperator());
+        op->associateInput(0, input_tensor);
+
+
+        op->setDataType(DataType::Float32);
+        op->setBackend("cpu");
+        op->forwardDims(true);
+        op->forward();
+        std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(Array4D<float, 1, 1, 2, 2>{
+            {{{{0.417022, 0.417022}, {0.417022, 0.417022}}}}});
+        op->getOutput(0)->print();
+        CHECK(approxEq<float>(*op->getOutput(0), *expectedOutput) == true);
+    }
+    SECTION("Upscaling from 5x5 to 10x10 (linear)") {
+        std::shared_ptr<Tensor> input_tensor = std::make_shared<Tensor>(
+            Array4D<float, 1, 1, 5, 5>{{{{{7.20324516e-01,
+                                               1.14374816e-04,
+                                               3.02332580e-01,
+                                               1.46755889e-01,
+                                               9.23385918e-02},
+                                              {1.86260208e-01,
+                                               3.45560730e-01,
+                                               3.96767467e-01,
+                                               5.38816750e-01,
+                                               4.19194520e-01},
+                                              {6.85219526e-01,
+                                               2.04452246e-01,
+                                               8.78117442e-01,
+                                               2.73875929e-02,
+                                               6.70467496e-01},
+                                              {4.17304814e-01,
+                                               5.58689833e-01,
+                                               1.40386939e-01,
+                                               1.98101491e-01,
+                                               8.00744593e-01},
+                                              {9.68261600e-01,
+                                               3.13424170e-01,
+                                               6.92322612e-01,
+                                               8.76389146e-01,
+                                               8.94606650e-01}}}}}
+        );
+
+        std::vector<std::size_t> sizes = {1, 1, 10, 10};
+        auto resize_node = Resize({}, sizes, Interpolation::CoordinateTransformation::Asymmetric, Interpolation::Mode::Linear);
+        auto op = std::static_pointer_cast<Resize_Op>(resize_node->getOperator());
+        op->associateInput(0, input_tensor);
+
+        op->setDataType(DataType::Float32);
+        op->setBackend("cpu");
+        op->forwardDims(true);
+        op->forward();
+        std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(
+            Array4D<float, 1, 1, 10, 10>{{{{{7.20324516e-01,
+                                             3.60219449e-01,
+                                             1.14374816e-04,
+                                             1.51223481e-01,
+                                             3.02332580e-01,
+                                             2.24544227e-01,
+                                             1.46755889e-01,
+                                             1.19547240e-01,
+                                             9.23385918e-02,
+                                             9.23385918e-02},
+
+                                            {4.53292370e-01,
+                                             3.13064963e-01,
+                                             1.72837555e-01,
+                                             2.61193782e-01,
+                                             3.49550009e-01,
+                                             3.46168160e-01,
+                                             3.42786312e-01,
+                                             2.99276441e-01,
+                                             2.55766571e-01,
+                                             2.55766571e-01},
+
+                                            {1.86260208e-01,
+                                             2.65910476e-01,
+                                             3.45560730e-01,
+                                             3.71164083e-01,
+                                             3.96767467e-01,
+                                             4.67792094e-01,
+                                             5.38816750e-01,
+                                             4.79005635e-01,
+                                             4.19194520e-01,
+                                             4.19194520e-01},
+
+                                            {4.35739875e-01,
+                                             3.55373204e-01,
+                                             2.75006473e-01,
+                                             4.56224471e-01,
+                                             6.37442470e-01,
+                                             4.60272312e-01,
+                                             2.83102185e-01,
+                                             4.13966596e-01,
+                                             5.44831038e-01,
+                                             5.44831038e-01},
+
+                                            {6.85219526e-01,
+                                             4.44835901e-01,
+                                             2.04452246e-01,
+                                             5.41284859e-01,
+                                             8.78117442e-01,
+                                             4.52752531e-01,
+                                             2.73875929e-02,
+                                             3.48927557e-01,
+                                             6.70467496e-01,
+                                             6.70467496e-01},
+
+                                            {5.51262140e-01,
+                                             4.66416597e-01,
+                                             3.81571054e-01,
+                                             4.45411623e-01,
+                                             5.09252191e-01,
+                                             3.10998380e-01,
+                                             1.12744540e-01,
+                                             4.24175322e-01,
+                                             7.35606015e-01,
+                                             7.35606015e-01},
+
+                                            {4.17304814e-01,
+                                             4.87997323e-01,
+                                             5.58689833e-01,
+                                             3.49538386e-01,
+                                             1.40386939e-01,
+                                             1.69244215e-01,
+                                             1.98101491e-01,
+                                             4.99423027e-01,
+                                             8.00744593e-01,
+                                             8.00744593e-01},
+
+                                            {6.92783237e-01,
+                                             5.64420104e-01,
+                                             4.36057001e-01,
+                                             4.26205903e-01,
+                                             4.16354775e-01,
+                                             4.76800054e-01,
+                                             5.37245333e-01,
+                                             6.92460477e-01,
+                                             8.47675622e-01,
+                                             8.47675622e-01},
+
+                                            {9.68261600e-01,
+                                             6.40842915e-01,
+                                             3.13424170e-01,
+                                             5.02873421e-01,
+                                             6.92322612e-01,
+                                             7.84355879e-01,
+                                             8.76389146e-01,
+                                             8.85497928e-01,
+                                             8.94606650e-01,
+                                             8.94606650e-01},
+
+                                            {9.68261600e-01,
+                                             6.40842915e-01,
+                                             3.13424170e-01,
+                                             5.02873421e-01,
+                                             6.92322612e-01,
+                                             7.84355879e-01,
+                                             8.76389146e-01,
+                                             8.85497928e-01,
+                                             8.94606650e-01,
+                                             8.94606650e-01}}}}});
+        Log::notice("Expected result : dims = {}", expectedOutput->dims());
+        expectedOutput->print();
+        Log::notice("\nActual result: dims = {}", op->getOutput(0)->dims());
+        op->getOutput(0)->print();
+        CHECK(approxEq<float>(*op->getOutput(0),
+                              *expectedOutput,
+                              1e-5f,
+                              1e-5f) == true);
+    }
+}
+
+} // namespace Aidge