diff --git a/include/aidge/aidge.hpp b/include/aidge/aidge.hpp
index e708c168421216fa249f26eee1f2b2eb80b588fd..cc8763580076957d550c7c0702468a593e218569 100644
--- a/include/aidge/aidge.hpp
+++ b/include/aidge/aidge.hpp
@@ -31,18 +31,23 @@
#include "aidge/operator/BatchNorm.hpp"
#include "aidge/operator/Conv.hpp"
#include "aidge/operator/ConvDepthWise.hpp"
+#include "aidge/operator/Div.hpp"
#include "aidge/operator/FC.hpp"
#include "aidge/operator/GenericOperator.hpp"
#include "aidge/operator/MatMul.hpp"
#include "aidge/operator/MaxPooling.hpp"
#include "aidge/operator/MetaOperator.hpp"
#include "aidge/operator/MetaOperatorDefs.hpp"
+#include "aidge/operator/Mul.hpp"
#include "aidge/operator/Operator.hpp"
#include "aidge/operator/Pad.hpp"
#include "aidge/operator/Producer.hpp"
+#include "aidge/operator/Pow.hpp"
#include "aidge/operator/ReLU.hpp"
-#include "aidge/operator/Softmax.hpp"
#include "aidge/operator/Scaling.hpp"
+#include "aidge/operator/Softmax.hpp"
+#include "aidge/operator/Sqrt.hpp"
+#include "aidge/operator/Sub.hpp"
#include "aidge/scheduler/Scheduler.hpp"
#include "aidge/utils/Attributes.hpp"
#include "aidge/utils/StaticAttributes.hpp"
diff --git a/include/aidge/operator/Div.hpp b/include/aidge/operator/Div.hpp
new file mode 100644
index 0000000000000000000000000000000000000000..4213f979cf9d675f523a228095edc5606f9412ee
--- /dev/null
+++ b/include/aidge/operator/Div.hpp
@@ -0,0 +1,146 @@
+/********************************************************************************
+ * 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_DIV_H_
+#define AIDGE_CORE_OPERATOR_DIV_H_
+
+#include <cassert>
+#include <memory>
+#include <vector>
+
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/operator/Operator.hpp"
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/data/Tensor.hpp"
+#include "aidge/data/Data.hpp"
+#include "aidge/graph/Node.hpp"
+#include "aidge/utils/Types.h"
+
+namespace Aidge {
+
+class Div_Op : public Operator,
+ public Registrable<Div_Op, std::string, std::unique_ptr<OperatorImpl>(const Div_Op&)> {
+public:
+ // FIXME: change accessibility
+ std::array<std::shared_ptr<Tensor>, 2> mInputs = {std::make_shared<Tensor>(), std::make_shared<Tensor>()};
+ const std::shared_ptr<Tensor> mOutput = std::make_shared<Tensor>();
+
+public:
+ static constexpr const char* Type = "Div";
+
+ Div_Op()
+ : Operator(Type)
+ {
+ 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.
+ */
+ Div_Op(const Div_Op& op)
+ : Operator(Type),
+ mOutput(std::make_shared<Tensor>(*op.mOutput))
+ {
+ // cpy-ctor
+ setDatatype(op.mOutput->dataType());
+ mImpl = op.mImpl ? Registrar<Div_Op>::create(mOutput->getImpl()->backend())(*this) : nullptr;
+ }
+
+ /**
+ * @brief Clone the operator using its copy-constructor.
+ * @see Operator::Div_Op
+ */
+ std::shared_ptr<Operator> clone() const override {
+ return std::make_shared<Div_Op>(*this);
+ }
+
+ void associateInput(const IOIndex_t inputIdx, std::shared_ptr<Data> data) override final {
+ assert(inputIdx < 2 && "operator supports only 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ assert(strcmp(data->type(), Tensor::Type)==0 && "input data must be of Tensor type");
+ mInputs[inputIdx] = std::dynamic_pointer_cast<Tensor>(data);
+ }
+
+ void computeOutputDims() override final {
+ if (!mInputs[0]->empty())
+ mOutput->resize(mInputs[0]->dims());
+ }
+
+ bool outputDimsForwarded() const override final {
+ return !(mOutput->empty());
+ }
+
+
+ inline Tensor& input(const IOIndex_t inputIdx) const override final {
+ assert(static_cast<std::size_t>(inputIdx) < 2 && "wrong inputIdx for Add operator.");
+ return *(mInputs[inputIdx].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 < 2) && "Div Operator has 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ return mInputs[inputIdx];
+ }
+ inline std::shared_ptr<Tensor> getOutput(const IOIndex_t outputIdx) const override final {
+ assert((outputIdx == 0) && "Div Operator has only 1 output");
+ (void) outputIdx; // avoid unused warning
+ return mOutput;
+ }
+
+
+ std::shared_ptr<Data> getRawInput(const IOIndex_t inputIdx) const override final {
+ assert(inputIdx < 2 && "operator supports only 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ return std::static_pointer_cast<Data>(mInputs[inputIdx]);
+ }
+ 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<Div_Op>::create(name)(*this);
+ mOutput->setBackend(name);
+
+ // FIXME: temporary workaround
+ mInputs[0]->setBackend(name);
+ mInputs[1]->setBackend(name);
+ }
+ void setDatatype(const DataType& datatype) override {
+ mOutput->setDatatype(datatype);
+
+ // FIXME: temporary workaround
+ mInputs[0]->setDatatype(datatype);
+ mInputs[1]->setDatatype(datatype);
+ }
+
+ inline IOIndex_t nbInputs() const noexcept override final { return 2; }
+ inline IOIndex_t nbDataInputs() const noexcept override final { return 2; }
+ inline IOIndex_t nbOutputs() const noexcept override final { return 1; }
+ static const std::vector<std::string> getInputsName(){
+ return {"data_input"};
+ }
+ static const std::vector<std::string> getOutputsName(){
+ return {"data_output"};
+ }
+};
+
+inline std::shared_ptr<Node> Div(const std::string& name = "") {
+ return std::make_shared<Node>(std::make_shared<Div_Op>(), name);
+}
+}
+
+#endif /* AIDGE_CORE_OPERATOR_DIV_H_ */
diff --git a/include/aidge/operator/Mul.hpp b/include/aidge/operator/Mul.hpp
new file mode 100644
index 0000000000000000000000000000000000000000..4ea79fe52622b22f8ea8fbd9191d50d45e26acac
--- /dev/null
+++ b/include/aidge/operator/Mul.hpp
@@ -0,0 +1,146 @@
+/********************************************************************************
+ * 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_MUL_H_
+#define AIDGE_CORE_OPERATOR_MUL_H_
+
+#include <cassert>
+#include <memory>
+#include <vector>
+
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/operator/Operator.hpp"
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/data/Tensor.hpp"
+#include "aidge/data/Data.hpp"
+#include "aidge/graph/Node.hpp"
+#include "aidge/utils/Types.h"
+
+namespace Aidge {
+
+class Mul_Op : public Operator,
+ public Registrable<Mul_Op, std::string, std::unique_ptr<OperatorImpl>(const Mul_Op&)> {
+public:
+ // FIXME: change accessibility
+ std::array<std::shared_ptr<Tensor>, 2> mInputs = {std::make_shared<Tensor>(), std::make_shared<Tensor>()};
+ const std::shared_ptr<Tensor> mOutput = std::make_shared<Tensor>();
+
+public:
+ static constexpr const char* Type = "Mul";
+
+ Mul_Op()
+ : Operator(Type)
+ {
+ 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.
+ */
+ Mul_Op(const Mul_Op& op)
+ : Operator(Type),
+ mOutput(std::make_shared<Tensor>(*op.mOutput))
+ {
+ // cpy-ctor
+ setDatatype(op.mOutput->dataType());
+ mImpl = op.mImpl ? Registrar<Mul_Op>::create(mOutput->getImpl()->backend())(*this) : nullptr;
+ }
+
+ /**
+ * @brief Clone the operator using its copy-constructor.
+ * @see Operator::Mul_Op
+ */
+ std::shared_ptr<Operator> clone() const override {
+ return std::make_shared<Mul_Op>(*this);
+ }
+
+ void associateInput(const IOIndex_t inputIdx, std::shared_ptr<Data> data) override final {
+ assert(inputIdx < 2 && "operator supports only 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ assert(strcmp(data->type(), Tensor::Type)==0 && "input data must be of Tensor type");
+ mInputs[inputIdx] = std::dynamic_pointer_cast<Tensor>(data);
+ }
+
+ void computeOutputDims() override final {
+ if (!mInputs[0]->empty())
+ mOutput->resize(mInputs[0]->dims());
+ }
+
+ bool outputDimsForwarded() const override final {
+ return !(mOutput->empty());
+ }
+
+
+ inline Tensor& input(const IOIndex_t inputIdx) const override final {
+ assert(static_cast<std::size_t>(inputIdx) < 2 && "wrong inputIdx for Add operator.");
+ return *(mInputs[inputIdx].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 < 2) && "Mul Operator has 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ return mInputs[inputIdx];
+ }
+ inline std::shared_ptr<Tensor> getOutput(const IOIndex_t outputIdx) const override final {
+ assert((outputIdx == 0) && "Mul Operator has only 1 output");
+ (void) outputIdx; // avoid unused warning
+ return mOutput;
+ }
+
+
+ std::shared_ptr<Data> getRawInput(const IOIndex_t inputIdx) const override final {
+ assert(inputIdx < 2 && "operator supports only 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ return std::static_pointer_cast<Data>(mInputs[inputIdx]);
+ }
+ 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<Mul_Op>::create(name)(*this);
+ mOutput->setBackend(name);
+
+ // FIXME: temporary workaround
+ mInputs[0]->setBackend(name);
+ mInputs[1]->setBackend(name);
+ }
+ void setDatatype(const DataType& datatype) override {
+ mOutput->setDatatype(datatype);
+
+ // FIXME: temporary workaround
+ mInputs[0]->setDatatype(datatype);
+ mInputs[1]->setDatatype(datatype);
+ }
+
+ inline IOIndex_t nbInputs() const noexcept override final { return 2; }
+ inline IOIndex_t nbDataInputs() const noexcept override final { return 2; }
+ inline IOIndex_t nbOutputs() const noexcept override final { return 1; }
+ static const std::vector<std::string> getInputsName(){
+ return {"data_input"};
+ }
+ static const std::vector<std::string> getOutputsName(){
+ return {"data_output"};
+ }
+};
+
+inline std::shared_ptr<Node> Mul(const std::string& name = "") {
+ return std::make_shared<Node>(std::make_shared<Mul_Op>(), name);
+}
+}
+
+#endif /* AIDGE_CORE_OPERATOR_MUL_H_ */
diff --git a/include/aidge/operator/Pow.hpp b/include/aidge/operator/Pow.hpp
new file mode 100644
index 0000000000000000000000000000000000000000..732cf36b4ef7e7640648c542191acd02d0875a4f
--- /dev/null
+++ b/include/aidge/operator/Pow.hpp
@@ -0,0 +1,146 @@
+/********************************************************************************
+ * 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_POW_H_
+#define AIDGE_CORE_OPERATOR_POW_H_
+
+#include <cassert>
+#include <memory>
+#include <vector>
+
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/operator/Operator.hpp"
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/data/Tensor.hpp"
+#include "aidge/data/Data.hpp"
+#include "aidge/graph/Node.hpp"
+#include "aidge/utils/Types.h"
+
+namespace Aidge {
+
+class Pow_Op : public Operator,
+ public Registrable<Pow_Op, std::string, std::unique_ptr<OperatorImpl>(const Pow_Op&)> {
+public:
+ // FIXME: change accessibility
+ std::array<std::shared_ptr<Tensor>, 2> mInputs = {std::make_shared<Tensor>(), std::make_shared<Tensor>()};
+ const std::shared_ptr<Tensor> mOutput = std::make_shared<Tensor>();
+
+public:
+ static constexpr const char* Type = "Pow";
+
+ Pow_Op()
+ : Operator(Type)
+ {
+ 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.
+ */
+ Pow_Op(const Pow_Op& op)
+ : Operator(Type),
+ mOutput(std::make_shared<Tensor>(*op.mOutput))
+ {
+ // cpy-ctor
+ setDatatype(op.mOutput->dataType());
+ mImpl = op.mImpl ? Registrar<Pow_Op>::create(mOutput->getImpl()->backend())(*this) : nullptr;
+ }
+
+ /**
+ * @brief Clone the operator using its copy-constructor.
+ * @see Operator::Pow_Op
+ */
+ std::shared_ptr<Operator> clone() const override {
+ return std::make_shared<Pow_Op>(*this);
+ }
+
+ void associateInput(const IOIndex_t inputIdx, std::shared_ptr<Data> data) override final {
+ assert(inputIdx < 2 && "operator supports only 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ assert(strcmp(data->type(), Tensor::Type)==0 && "input data must be of Tensor type");
+ mInputs[inputIdx] = std::dynamic_pointer_cast<Tensor>(data);
+ }
+
+ void computeOutputDims() override final {
+ if (!mInputs[0]->empty())
+ mOutput->resize(mInputs[0]->dims());
+ }
+
+ bool outputDimsForwarded() const override final {
+ return !(mOutput->empty());
+ }
+
+
+ inline Tensor& input(const IOIndex_t inputIdx) const override final {
+ assert(static_cast<std::size_t>(inputIdx) < 2 && "wrong inputIdx for Add operator.");
+ return *(mInputs[inputIdx].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 < 2) && "Pow Operator has 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ return mInputs[inputIdx];
+ }
+ inline std::shared_ptr<Tensor> getOutput(const IOIndex_t outputIdx) const override final {
+ assert((outputIdx == 0) && "Pow Operator has only 1 output");
+ (void) outputIdx; // avoid unused warning
+ return mOutput;
+ }
+
+
+ std::shared_ptr<Data> getRawInput(const IOIndex_t inputIdx) const override final {
+ assert(inputIdx < 2 && "operator supports only 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ return std::static_pointer_cast<Data>(mInputs[inputIdx]);
+ }
+ 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<Pow_Op>::create(name)(*this);
+ mOutput->setBackend(name);
+
+ // FIXME: temporary workaround
+ mInputs[0]->setBackend(name);
+ mInputs[1]->setBackend(name);
+ }
+ void setDatatype(const DataType& datatype) override {
+ mOutput->setDatatype(datatype);
+
+ // FIXME: temporary workaround
+ mInputs[0]->setDatatype(datatype);
+ mInputs[1]->setDatatype(datatype);
+ }
+
+ inline IOIndex_t nbInputs() const noexcept override final { return 2; }
+ inline IOIndex_t nbDataInputs() const noexcept override final { return 2; }
+ inline IOIndex_t nbOutputs() const noexcept override final { return 1; }
+ static const std::vector<std::string> getInputsName(){
+ return {"data_input"};
+ }
+ static const std::vector<std::string> getOutputsName(){
+ return {"data_output"};
+ }
+};
+
+inline std::shared_ptr<Node> Pow(const std::string& name = "") {
+ return std::make_shared<Node>(std::make_shared<Pow_Op>(), name);
+}
+}
+
+#endif /* AIDGE_CORE_OPERATOR_POW_H_ */
diff --git a/include/aidge/operator/Sqrt.hpp b/include/aidge/operator/Sqrt.hpp
new file mode 100644
index 0000000000000000000000000000000000000000..90b2ae6a8ae1311aef14e4eba4d3563a28a3d18e
--- /dev/null
+++ b/include/aidge/operator/Sqrt.hpp
@@ -0,0 +1,141 @@
+/********************************************************************************
+ * 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_SQRT_H_
+#define AIDGE_CORE_OPERATOR_SQRT_H_
+
+#include <cassert>
+#include <memory>
+#include <vector>
+
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/operator/Operator.hpp"
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/data/Tensor.hpp"
+#include "aidge/data/Data.hpp"
+#include "aidge/graph/Node.hpp"
+#include "aidge/utils/Types.h"
+
+namespace Aidge {
+
+class Sqrt_Op : public Operator,
+ public Registrable<Sqrt_Op, std::string, std::unique_ptr<OperatorImpl>(const Sqrt_Op&)> {
+public:
+ // 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 = "Sqrt";
+
+ Sqrt_Op()
+ : Operator(Type)
+ {
+ 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.
+ */
+ Sqrt_Op(const Sqrt_Op& op)
+ : Operator(Type),
+ mOutput(std::make_shared<Tensor>(*op.mOutput))
+ {
+ // cpy-ctor
+ setDatatype(op.mOutput->dataType());
+ mImpl = op.mImpl ? Registrar<Sqrt_Op>::create(mOutput->getImpl()->backend())(*this) : nullptr;
+ }
+
+ /**
+ * @brief Clone the operator using its copy-constructor.
+ * @see Operator::Sqrt_Op
+ */
+ std::shared_ptr<Operator> clone() const override {
+ return std::make_shared<Sqrt_Op>(*this);
+ }
+
+ void associateInput(const IOIndex_t inputIdx, std::shared_ptr<Data> data) override final {
+ assert(inputIdx == 0 && "operator supports only 1 input");
+ (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())
+ mOutput->resize(mInput->dims());
+ }
+
+ bool outputDimsForwarded() const override final {
+ return !(mOutput->empty());
+ }
+
+
+ inline Tensor& input(const IOIndex_t /*inputIdx*/) const override final { 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) && "Sqrt Operator has only 1 input");
+ (void) inputIdx; // avoid unused warning
+ return mInput;
+ }
+ inline std::shared_ptr<Tensor> getOutput(const IOIndex_t outputIdx) const override final {
+ assert((outputIdx == 0) && "Sqrt Operator has only 1 output");
+ (void) outputIdx; // avoid unused warning
+ return mOutput;
+ }
+
+
+ std::shared_ptr<Data> getRawInput(const IOIndex_t inputIdx) const override final {
+ assert(inputIdx == 0 && "operator supports only 1 input");
+ (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<Sqrt_Op>::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; }
+ static const std::vector<std::string> getInputsName(){
+ return {"data_input"};
+ }
+ static const std::vector<std::string> getOutputsName(){
+ return {"data_output"};
+ }
+};
+
+inline std::shared_ptr<Node> Sqrt(const std::string& name = "") {
+ return std::make_shared<Node>(std::make_shared<Sqrt_Op>(), name);
+}
+}
+
+#endif /* AIDGE_CORE_OPERATOR_SQRT_H_ */
diff --git a/include/aidge/operator/Sub.hpp b/include/aidge/operator/Sub.hpp
new file mode 100644
index 0000000000000000000000000000000000000000..451cba08f58e7a580576531ce2a97c92fb9be3ae
--- /dev/null
+++ b/include/aidge/operator/Sub.hpp
@@ -0,0 +1,146 @@
+/********************************************************************************
+ * 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_SUB_H_
+#define AIDGE_CORE_OPERATOR_SUB_H_
+
+#include <cassert>
+#include <memory>
+#include <vector>
+
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/operator/Operator.hpp"
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/data/Tensor.hpp"
+#include "aidge/data/Data.hpp"
+#include "aidge/graph/Node.hpp"
+#include "aidge/utils/Types.h"
+
+namespace Aidge {
+
+class Sub_Op : public Operator,
+ public Registrable<Sub_Op, std::string, std::unique_ptr<OperatorImpl>(const Sub_Op&)> {
+public:
+ // FIXME: change accessibility
+ std::array<std::shared_ptr<Tensor>, 2> mInputs = {std::make_shared<Tensor>(), std::make_shared<Tensor>()};
+ const std::shared_ptr<Tensor> mOutput = std::make_shared<Tensor>();
+
+public:
+ static constexpr const char* Type = "Sub";
+
+ Sub_Op()
+ : Operator(Type)
+ {
+ 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.
+ */
+ Sub_Op(const Sub_Op& op)
+ : Operator(Type),
+ mOutput(std::make_shared<Tensor>(*op.mOutput))
+ {
+ // cpy-ctor
+ setDatatype(op.mOutput->dataType());
+ mImpl = op.mImpl ? Registrar<Sub_Op>::create(mOutput->getImpl()->backend())(*this) : nullptr;
+ }
+
+ /**
+ * @brief Clone the operator using its copy-constructor.
+ * @see Operator::Sub_Op
+ */
+ std::shared_ptr<Operator> clone() const override {
+ return std::make_shared<Sub_Op>(*this);
+ }
+
+ void associateInput(const IOIndex_t inputIdx, std::shared_ptr<Data> data) override final {
+ assert(inputIdx < 2 && "operator supports only 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ assert(strcmp(data->type(), Tensor::Type)==0 && "input data must be of Tensor type");
+ mInputs[inputIdx] = std::dynamic_pointer_cast<Tensor>(data);
+ }
+
+ void computeOutputDims() override final {
+ if (!mInputs[0]->empty())
+ mOutput->resize(mInputs[0]->dims());
+ }
+
+ bool outputDimsForwarded() const override final {
+ return !(mOutput->empty());
+ }
+
+
+ inline Tensor& input(const IOIndex_t inputIdx) const override final {
+ assert(static_cast<std::size_t>(inputIdx) < 2 && "wrong inputIdx for Add operator.");
+ return *(mInputs[inputIdx].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 < 2) && "Sub Operator has 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ return mInputs[inputIdx];
+ }
+ inline std::shared_ptr<Tensor> getOutput(const IOIndex_t outputIdx) const override final {
+ assert((outputIdx == 0) && "Sub Operator has only 1 output");
+ (void) outputIdx; // avoid unused warning
+ return mOutput;
+ }
+
+
+ std::shared_ptr<Data> getRawInput(const IOIndex_t inputIdx) const override final {
+ assert(inputIdx < 2 && "operator supports only 2 inputs");
+ (void) inputIdx; // avoid unused warning
+ return std::static_pointer_cast<Data>(mInputs[inputIdx]);
+ }
+ 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<Sub_Op>::create(name)(*this);
+ mOutput->setBackend(name);
+
+ // FIXME: temporary workaround
+ mInputs[0]->setBackend(name);
+ mInputs[1]->setBackend(name);
+ }
+ void setDatatype(const DataType& datatype) override {
+ mOutput->setDatatype(datatype);
+
+ // FIXME: temporary workaround
+ mInputs[0]->setDatatype(datatype);
+ mInputs[1]->setDatatype(datatype);
+ }
+
+ inline IOIndex_t nbInputs() const noexcept override final { return 2; }
+ inline IOIndex_t nbDataInputs() const noexcept override final { return 2; }
+ inline IOIndex_t nbOutputs() const noexcept override final { return 1; }
+ static const std::vector<std::string> getInputsName(){
+ return {"data_input"};
+ }
+ static const std::vector<std::string> getOutputsName(){
+ return {"data_output"};
+ }
+};
+
+inline std::shared_ptr<Node> Sub(const std::string& name = "") {
+ return std::make_shared<Node>(std::make_shared<Sub_Op>(), name);
+}
+}
+
+#endif /* AIDGE_CORE_OPERATOR_SUB_H_ */
diff --git a/python_binding/operator/pybind_Div.cpp b/python_binding/operator/pybind_Div.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..3492bf244952ba6ed0d77cb16de758e61fb26383
--- /dev/null
+++ b/python_binding/operator/pybind_Div.cpp
@@ -0,0 +1,27 @@
+/********************************************************************************
+ * 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 <pybind11/pybind11.h>
+
+#include "aidge/operator/Div.hpp"
+#include "aidge/operator/Operator.hpp"
+
+namespace py = pybind11;
+namespace Aidge {
+
+void init_Div(py::module& m) {
+ py::class_<Div_Op, std::shared_ptr<Div_Op>, Operator>(m, "DivOp", py::multiple_inheritance())
+ .def("get_inputs_name", &Div_Op::getInputsName)
+ .def("get_outputs_name", &Div_Op::getOutputsName);
+
+ m.def("Div", &Div, py::arg("name") = "");
+}
+} // namespace Aidge
diff --git a/python_binding/operator/pybind_Mul.cpp b/python_binding/operator/pybind_Mul.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..2627c99005b009769e8fbb97b1f5d79e2424c997
--- /dev/null
+++ b/python_binding/operator/pybind_Mul.cpp
@@ -0,0 +1,27 @@
+/********************************************************************************
+ * 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 <pybind11/pybind11.h>
+
+#include "aidge/operator/Mul.hpp"
+#include "aidge/operator/Operator.hpp"
+
+namespace py = pybind11;
+namespace Aidge {
+
+void init_Mul(py::module& m) {
+ py::class_<Mul_Op, std::shared_ptr<Mul_Op>, Operator>(m, "MulOp", py::multiple_inheritance())
+ .def("get_inputs_name", &Mul_Op::getInputsName)
+ .def("get_outputs_name", &Mul_Op::getOutputsName);
+
+ m.def("Mul", &Mul, py::arg("name") = "");
+}
+} // namespace Aidge
diff --git a/python_binding/operator/pybind_Pow.cpp b/python_binding/operator/pybind_Pow.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..22866c5460381b6f494948c7410bcd67e7e46edb
--- /dev/null
+++ b/python_binding/operator/pybind_Pow.cpp
@@ -0,0 +1,27 @@
+/********************************************************************************
+ * 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 <pybind11/pybind11.h>
+
+#include "aidge/operator/Pow.hpp"
+#include "aidge/operator/Operator.hpp"
+
+namespace py = pybind11;
+namespace Aidge {
+
+void init_Pow(py::module& m) {
+ py::class_<Pow_Op, std::shared_ptr<Pow_Op>, Operator>(m, "PowOp", py::multiple_inheritance())
+ .def("get_inputs_name", &Pow_Op::getInputsName)
+ .def("get_outputs_name", &Pow_Op::getOutputsName);
+
+ m.def("Pow", &Pow, py::arg("name") = "");
+}
+} // namespace Aidge
diff --git a/python_binding/operator/pybind_Sqrt.cpp b/python_binding/operator/pybind_Sqrt.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..b70171814662c861f19b3048b018260170d37491
--- /dev/null
+++ b/python_binding/operator/pybind_Sqrt.cpp
@@ -0,0 +1,27 @@
+/********************************************************************************
+ * 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 <pybind11/pybind11.h>
+
+#include "aidge/operator/Sqrt.hpp"
+#include "aidge/operator/Operator.hpp"
+
+namespace py = pybind11;
+namespace Aidge {
+
+void init_Sqrt(py::module& m) {
+ py::class_<Sqrt_Op, std::shared_ptr<Sqrt_Op>, Operator>(m, "SqrtOp", py::multiple_inheritance())
+ .def("get_inputs_name", &Sqrt_Op::getInputsName)
+ .def("get_outputs_name", &Sqrt_Op::getOutputsName);
+
+ m.def("Sqrt", &Sqrt, py::arg("name") = "");
+}
+} // namespace Aidge
diff --git a/python_binding/operator/pybind_Sub.cpp b/python_binding/operator/pybind_Sub.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..10c95939646a6b605f23c42618bfbdd00ceb6e2e
--- /dev/null
+++ b/python_binding/operator/pybind_Sub.cpp
@@ -0,0 +1,27 @@
+/********************************************************************************
+ * 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 <pybind11/pybind11.h>
+
+#include "aidge/operator/Sub.hpp"
+#include "aidge/operator/Operator.hpp"
+
+namespace py = pybind11;
+namespace Aidge {
+
+void init_Sub(py::module& m) {
+ py::class_<Sub_Op, std::shared_ptr<Sub_Op>, Operator>(m, "SubOp", py::multiple_inheritance())
+ .def("get_inputs_name", &Sub_Op::getInputsName)
+ .def("get_outputs_name", &Sub_Op::getOutputsName);
+
+ m.def("Sub", &Sub, py::arg("name") = "");
+}
+} // namespace Aidge
diff --git a/python_binding/pybind_core.cpp b/python_binding/pybind_core.cpp
index 04e39b11e58718dfcc5f9faef24b140132367700..a482191c78ff56b000e043cd7350ca1c150d1d6e 100644
--- a/python_binding/pybind_core.cpp
+++ b/python_binding/pybind_core.cpp
@@ -25,15 +25,20 @@ void init_AvgPooling(py::module&);
void init_BatchNorm(py::module&);
void init_Conv(py::module&);
void init_ConvDepthWise(py::module&);
+void init_Div(py::module&);
void init_FC(py::module&);
void init_GenericOperator(py::module&);
void init_LeakyReLU(py::module&);
void init_MatMul(py::module&);
void init_MaxPooling(py::module&);
void init_MetaOperatorDefs(py::module&);
+void init_Mul(py::module&);
void init_Producer(py::module&);
+void init_Pow(py::module&);
void init_ReLU(py::module&);
void init_Softmax(py::module&);
+void init_Sqrt(py::module&);
+void init_Sub(py::module&);
void init_Node(py::module&);
void init_GraphView(py::module&);
@@ -67,14 +72,19 @@ void init_Aidge(py::module& m){
init_BatchNorm(m);
init_Conv(m);
init_ConvDepthWise(m);
+ init_Div(m);
init_FC(m);
init_GenericOperator(m);
init_LeakyReLU(m);
init_MatMul(m);
init_MaxPooling(m);
init_MetaOperatorDefs(m);
+ init_Mul(m);
+ init_Pow(m);
init_ReLU(m);
init_Softmax(m);
+ init_Sqrt(m);
+ init_Sub(m);
init_Producer(m);
init_Match(m);