Quantization ptq

Adding implementation of Scaling operator.

include/aidge/backend/cpu/operator/ScalingImpl.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_ScalingIMPL_H__
+#define __AIDGE_CPU_OPERATOR_ScalingIMPL_H__
+
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/operator/Scaling.hpp"
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/utils/Types.h"
+#include <memory>
+#include <vector>
+
+namespace Aidge {
+// class Scaling_Op;
+
+// compute kernel registry for forward and backward
+class ScalingImplForward_cpu
+    : public Registrable<ScalingImplForward_cpu, std::tuple<DataType, DataType>, void(const Scaling_Op::Parameters&, std::size_t, const void*, void*)> {
+};
+class ScalingImplBackward_cpu
+    : public Registrable<ScalingImplBackward_cpu, std::tuple<DataType, DataType>, void(const Scaling_Op::Parameters&, std::size_t, const void*, void*)> {
+};
+
+class ScalingImpl_cpu : public OperatorImpl {
+   private:
+    const Scaling_Op& mOp;
+    std::array<NbElts_t, 1> mNbConsumedData;
+    std::array<NbElts_t, 1> mNbProducedData;
+
+   public:
+    ScalingImpl_cpu(const Scaling_Op& op) : mOp(op), mNbConsumedData({0}), mNbProducedData({0}) {}
+
+    static std::unique_ptr<ScalingImpl_cpu> create(const Scaling_Op& op) {
+        //std::cout << "ScalingImpl_cpu create" << std::endl;
+        return std::make_unique<ScalingImpl_cpu>(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(__attribute__((unused)) const IOIndex_t outputIdx, __attribute__((unused)) 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();
+
+    void backward();
+};
+
+namespace {
+static Registrar<Scaling_Op> registrarScalingImpl_cpu("cpu", Aidge::ScalingImpl_cpu::create);
+}
+}  // namespace Aidge
+
+#endif /* __AIDGE_CPU_OPERATOR_ScalingIMPL_H__ */
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