Update with default operator impl

Related to aidge_core!37 (merged).

include/aidge/backend/cpu/operator/AddImpl.hpp

@@ -53,152 +53,51 @@ class AddImplBackward_cpu<3>
 
 template <DimIdx_t NUM>
 class AddImpl_cpu : public OperatorImpl {
-   private:
-    const Add_Op<NUM>& mOp;
-    std::array<NbElts_t, NUM> mNbConsumedData = {};
-    std::array<NbElts_t, 1> mNbProducedData = {};
-
-   public:
-    AddImpl_cpu(const Add_Op<NUM>& op) : mOp(op) {}
+public:
+    AddImpl_cpu(const Add_Op<NUM>& op) : OperatorImpl(op) {}
 
     static std::unique_ptr<AddImpl_cpu<NUM>> create(const Add_Op<NUM>& op) {
         return std::make_unique<AddImpl_cpu<NUM>>(op);
     }
-
-   public:
-    NbElts_t getNbRequiredData(const IOIndex_t inputIdx) const override final {
-        assert(mOp.getInput(inputIdx) && "requires valid input");
-
-        // Requires the whole tensors
-        const auto& inputDims = std::static_pointer_cast<Tensor>(mOp.getInput(inputIdx))->dims();
-        return std::accumulate(inputDims.begin(), inputDims.end(), NbElts_t(1), std::multiplies<NbElts_t>());
-    }
-
-    NbElts_t getNbRequiredProtected(const IOIndex_t /*inputIdx*/) const override final {
-        // for the direct convolution algorithm, convolutions can be in-place, if there is no padding!
-        return 0;
-    }
-
-    NbElts_t getRequiredMemory(const IOIndex_t outputIdx, const std::vector<DimSize_t>& /*inputsSize*/) const override final {
-        // Requires the whole tensors, regardless of available data on inputs
-        assert(outputIdx == 0 && "operator has only one output");
-        (void) outputIdx;
-
-        const auto& outputDims = std::static_pointer_cast<Tensor>(mOp.getOutput(0))->dims();
-        return std::accumulate(outputDims.begin(), outputDims.end(), NbElts_t(1), std::multiplies<NbElts_t>());
-    }
-
-    NbElts_t getNbConsumedData(const IOIndex_t inputIdx) const override final {
-        assert(inputIdx < mNbConsumedData.size());
-        return mNbConsumedData[inputIdx];
-    }
-
-    NbElts_t getNbProducedData(const IOIndex_t outputIdx) const override final {
-        assert(outputIdx < mNbProducedData.size());
-        return mNbProducedData[outputIdx];
-    }
-    void updateConsummerProducer() override final;
-
-    void forward() override {
-        // nothing
-    }
-
-    void backward() override { printf("Not implemented yet.\n"); }
 };
 
 template <>
 class AddImpl_cpu<1> : public OperatorImpl {
-   private:
-    const Add_Op<1>& mOp;
-    std::array<NbElts_t, 1> mNbConsumedData;
-    std::array<NbElts_t, 1> mNbProducedData;
-
-   public:
-    AddImpl_cpu(const Add_Op<1>& op) : mOp(op), mNbConsumedData({0}), mNbProducedData({0}) {}
+public:
+    AddImpl_cpu(const Add_Op<1>& op) : OperatorImpl(op) {}
 
     static std::unique_ptr<AddImpl_cpu<1>> create(const Add_Op<1>& op) {
         return std::make_unique<AddImpl_cpu<1>>(op);
     }
 
-   public:
-    NbElts_t getNbRequiredData(const IOIndex_t /*inputIdx*/) const override final;
-
     NbElts_t getNbRequiredProtected(const IOIndex_t /*inputIdx*/) const override final;
-
-    NbElts_t getRequiredMemory(const IOIndex_t /*outputIdx*/,
-                               const std::vector<DimSize_t> &/*inputsSize*/) const override final;
-
-    NbElts_t getNbConsumedData(const IOIndex_t /*inputIdx*/) const override final;
-
-    NbElts_t getNbProducedData(const IOIndex_t /*outputIdx*/) const override final;
-    void updateConsummerProducer() override final;
-
     void forward() override;
-
-    void backward() override;
 };
 
 template <>
 class AddImpl_cpu<2> : public OperatorImpl {
-   private:
-    const Add_Op<2>& mOp;
-    std::array<NbElts_t, 2> mNbConsumedData;
-    std::array<NbElts_t, 1> mNbProducedData;
-
-   public:
-    AddImpl_cpu(const Add_Op<2>& op) : mOp(op), mNbConsumedData({0, 0}), mNbProducedData({0}) {}
+public:
+    AddImpl_cpu(const Add_Op<2>& op) : OperatorImpl(op) {}
 
     static std::unique_ptr<AddImpl_cpu<2>> create(const Add_Op<2>& op) {
         return std::make_unique<AddImpl_cpu<2>>(op);
     }
 
-   public:
-    NbElts_t getNbRequiredData(const IOIndex_t inputIdx) const override final;
-
     NbElts_t getNbRequiredProtected(const IOIndex_t inputIdx) const override final;
-
-    NbElts_t getRequiredMemory(const IOIndex_t /*outputIdx*/,
-                               const std::vector<DimSize_t>& /*inputsSize*/) const override final;
-
-    NbElts_t getNbConsumedData(const IOIndex_t inputIdx) const override final;
-
-    NbElts_t getNbProducedData(const IOIndex_t /*outputIdx*/) const override final;
-    void updateConsummerProducer() override final;
-
     void forward() override;
-
-    void backward() override;
 };
 
 template <>
 class AddImpl_cpu<3> : public OperatorImpl {
-   private:
-    const Add_Op<3>& mOp;
-    std::array<NbElts_t, 3> mNbConsumedData;
-    std::array<NbElts_t, 1> mNbProducedData;
-
-   public:
-    AddImpl_cpu(const Add_Op<3>& op) : mOp(op), mNbConsumedData({0, 0, 0}), mNbProducedData({0}) {}
+public:
+    AddImpl_cpu(const Add_Op<3>& op) : OperatorImpl(op) {}
 
     static std::unique_ptr<AddImpl_cpu<3>> create(const Add_Op<3>& op) {
         return std::make_unique<AddImpl_cpu<3>>(op);
     }
 
-   public:
-    NbElts_t getNbRequiredData(const IOIndex_t inputIdx) const override final;
-
     NbElts_t getNbRequiredProtected(const IOIndex_t /*inputIdx*/) const override final;
-
-    NbElts_t getRequiredMemory(const IOIndex_t /*outputIdx*/, const std::vector<DimSize_t>& /*inputsSize*/) const override final;
-
-    NbElts_t getNbConsumedData(const IOIndex_t inputIdx) const override final;
-
-    NbElts_t getNbProducedData(const IOIndex_t outputIdx) const override final;
-    void updateConsummerProducer() override final;
-
     void forward() override;
-
-    void backward() override;
 };
 
 namespace {