diff --git a/include/aidge/aidge.hpp b/include/aidge/aidge.hpp
index 931b1b26a04e8886c211d77f8b0147c2140d350a..1f90ec388017e17a8cd69fdedd6f08b9927989de 100644
--- a/include/aidge/aidge.hpp
+++ b/include/aidge/aidge.hpp
@@ -59,6 +59,7 @@
#include "aidge/operator/ReduceMean.hpp"
#include "aidge/operator/ReLU.hpp"
#include "aidge/operator/Reshape.hpp"
+#include "aidge/operator/Shape.hpp"
#include "aidge/operator/Scaling.hpp"
#include "aidge/operator/Slice.hpp"
#include "aidge/operator/Softmax.hpp"
diff --git a/include/aidge/operator/Shape.hpp b/include/aidge/operator/Shape.hpp
new file mode 100644
index 0000000000000000000000000000000000000000..3132e4ab7adcc331772d627147cc31c25597570a
--- /dev/null
+++ b/include/aidge/operator/Shape.hpp
@@ -0,0 +1,103 @@
+/********************************************************************************
+ * 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_CORE_OPERATOR_SHAPE_H_
+#define AIDGE_CORE_OPERATOR_SHAPE_H_
+
+#include <cstdint> // std::int64_t
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/graph/Node.hpp"
+#include "aidge/operator/OperatorTensor.hpp"
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/utils/StaticAttributes.hpp"
+#include "aidge/utils/Types.h"
+
+namespace Aidge {
+class Shape_OpImpl : public OperatorImpl {
+public:
+ Shape_OpImpl(const Operator& op, const std::string& backend = ""): OperatorImpl(op, backend) {}
+ void forward() override;
+};
+
+enum class ShapeAttr { Start, End };
+
+class Shape_Op : public OperatorTensor,
+ public Registrable<Shape_Op,
+ std::string,
+ std::shared_ptr<OperatorImpl>(const Shape_Op&)>,
+ public StaticAttributes<ShapeAttr, std::int64_t, std::int64_t> {
+
+public:
+ static const std::string Type;
+
+ Shape_Op() = delete;
+
+ using Attributes_ = StaticAttributes<ShapeAttr, std::int64_t, std::int64_t>;
+ template <ShapeAttr e> using attr = typename Attributes_::template attr<e>;
+ Shape_Op(std::int64_t start, std::int64_t end)
+ : OperatorTensor(Type, 1, 0, 1),
+ Attributes_(attr<ShapeAttr::Start>(start),
+ attr<ShapeAttr::End>(end))
+ {
+ mImpl = std::make_shared<Shape_OpImpl>(*this);
+ }
+
+ /**
+ * @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.
+ */
+ Shape_Op(const Shape_Op& op)
+ : OperatorTensor(op),
+ Attributes_(op)
+ {
+ if (!op.backend().empty()) {
+ SET_IMPL_MACRO(Shape_Op, *this, op.backend());
+ }
+ else {
+ mImpl = std::make_shared<Shape_OpImpl>(*this);
+ }
+ }
+
+ /**
+ * @brief Clone the operator using its copy-constructor.
+ * @see Operator::Shape_Op
+ */
+ std::shared_ptr<Operator> clone() const override {
+ return std::make_shared<Shape_Op>(*this);
+ }
+
+ bool forwardDims(bool /*allowDataDependency*/ = false) override final;
+
+ void setBackend(const std::string& name, DeviceIdx_t device = 0) override;
+
+ 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> Shape(std::int64_t start = 0, std::int64_t end = -1, const std::string& name = "") {
+ return std::make_shared<Node>(std::make_shared<Shape_Op>(start, end), name);
+}
+} // namespace Aidge
+
+namespace {
+template <>
+const char *const EnumStrings<Aidge::ShapeAttr>::data[] = {"Start", "End"};
+}
+
+#endif /* AIDGE_CORE_OPERATOR_SHAPE_H_ */
diff --git a/python_binding/operator/pybind_Shape.cpp b/python_binding/operator/pybind_Shape.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..dbae1d95d81ef65d27167bcd0774366dcc41b325
--- /dev/null
+++ b/python_binding/operator/pybind_Shape.cpp
@@ -0,0 +1,38 @@
+/********************************************************************************
+ * 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 <pybind11/pybind11.h>
+#include <string>
+#include <vector>
+
+#include "aidge/data/Tensor.hpp"
+#include "aidge/operator/Shape.hpp"
+#include "aidge/operator/OperatorTensor.hpp"
+
+namespace py = pybind11;
+namespace Aidge {
+
+void init_Shape(py::module& m) {
+ py::class_<Shape_Op, std::shared_ptr<Shape_Op>, Attributes, OperatorTensor>(m, "ShapeOp", py::multiple_inheritance())
+ .def(py::init<std::int64_t,
+ std::int64_t>(),
+ py::arg("start"),
+ py::arg("end"))
+ .def_static("get_inputs_name", &Shape_Op::getInputsName)
+ .def_static("get_outputs_name", &Shape_Op::getOutputsName)
+ .def_static("attributes_name", &Shape_Op::staticGetAttrsName);
+
+ declare_registrable<Shape_Op>(m, "ShapeOp");
+
+ m.def("Shape", &Shape, py::arg("start") = 0, py::arg("end") = -1, py::arg("name") = "");
+}
+
+} // namespace Aidge
diff --git a/python_binding/pybind_core.cpp b/python_binding/pybind_core.cpp
index 7b38c2d72d5f4b2eed8d8bbf9f41f47144b51060..84f5bb0ac5a96a35f25ca20bc39a7e177ff63805 100644
--- a/python_binding/pybind_core.cpp
+++ b/python_binding/pybind_core.cpp
@@ -52,6 +52,7 @@ void init_ReduceMean(py::module&);
void init_ReLU(py::module&);
void init_Reshape(py::module&);
void init_Scaling(py::module&);
+void init_Shape(py::module&);
void init_Sigmoid(py::module&);
void init_Slice(py::module&);
void init_Softmax(py::module&);
@@ -120,6 +121,7 @@ void init_Aidge(py::module& m) {
init_ReLU(m);
init_Reshape(m);
init_Scaling(m);
+ init_Shape(m);
init_Sigmoid(m);
init_Slice(m);
init_Softmax(m);
diff --git a/src/operator/Shape.cpp b/src/operator/Shape.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..d11cf39e1cd301d49f21863dcb1f250e96c6e502
--- /dev/null
+++ b/src/operator/Shape.cpp
@@ -0,0 +1,70 @@
+/********************************************************************************
+ * 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 <cstddef> // std::size_t
+#include <cstdint> // std::int64_t
+#include <string>
+#include <vector>
+
+#include "aidge/operator/Shape.hpp"
+#include "aidge/data/Tensor.hpp"
+#include "aidge/utils/ErrorHandling.hpp"
+#include "aidge/utils/Types.h"
+
+void Aidge::Shape_OpImpl::forward() {
+ const Shape_Op& op = dynamic_cast<const Shape_Op&>(mOp);
+ const auto start = op.template getAttr<std::int64_t>("Start");
+ const auto end = op.template getAttr<std::int64_t>("End");
+
+ op.getOutput(0)->getImpl()->copyCast(std::next(op.getInput(0)->dims().data(),
+ start),
+ DataType::UInt64,
+ end - start + 1);
+}
+
+const std::string Aidge::Shape_Op::Type = "Shape";
+
+bool Aidge::Shape_Op::forwardDims(bool /*allowDataDependency*/) {
+ // check data input has been associated
+ if (!getInput(0)) {
+ AIDGE_THROW_OR_ABORT(std::runtime_error, "{}: input #0 should be associated with a Tensor", type());
+ }
+
+ if (getInput(0)->empty()) {
+ return false;
+ }
+
+ if (this->template getAttr<std::int64_t>("Start") < 0)
+ this->template getAttr<std::int64_t>("Start") += static_cast<std::int64_t>(getInput(0)->nbDims());
+ if (this->template getAttr<std::int64_t>("End") < 0)
+ this->template getAttr<std::int64_t>("End") += static_cast<std::int64_t>(getInput(0)->nbDims());
+
+ const auto start = this->template getAttr<std::int64_t>("Start");
+ const auto end = this->template getAttr<std::int64_t>("End");
+ const auto nbDims = static_cast<std::int64_t>(getInput(0)->nbDims());
+ const DimSize_t roi = end - start + 1;
+
+ AIDGE_ASSERT(start < nbDims && end < nbDims, "'Start' and 'End' must be < {}", nbDims);
+ AIDGE_ASSERT(roi> 1, "Unvalid ROI for Shape");
+
+ mOutputs[0]->resize({roi});
+ return true;
+}
+
+void Aidge::Shape_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
+ if (Registrar<Shape_Op>::exists({name})) {
+ SET_IMPL_MACRO(Shape_Op, *this, name);
+ }
+ else {
+ mImpl = std::make_shared<Shape_OpImpl>(*this);
+ }
+ mOutputs[0]->setBackend(name, device);
+}
diff --git a/unit_tests/operator/Test_ShapeImpl.cpp b/unit_tests/operator/Test_ShapeImpl.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..45df89df061148fbfb892112e3c6d01edf27ffb4
--- /dev/null
+++ b/unit_tests/operator/Test_ShapeImpl.cpp
@@ -0,0 +1,86 @@
+/********************************************************************************
+ * 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 <catch2/catch_test_macros.hpp>
+
+#include "aidge/data/Tensor.hpp"
+#include "aidge/operator/Shape.hpp"
+
+#include <cstdint>
+#include <memory>
+
+
+using namespace Aidge;
+
+TEST_CASE("[cpu/operator] Shape(forward)", "[Shape][CPU]") {
+ SECTION("Default attributes") {
+ std::shared_ptr<Tensor> input = std::make_shared<Tensor>(Array4D<int,1,2,3,5> {
+ {
+ {
+ {
+ { 1, 2, 3, 4, 5},
+ { 6, 7, 8, 9, 10},
+ {11, 12, 13, 14, 15}
+ },
+ {
+ {16, 17, 18, 19, 20},
+ {21, 22, 23, 24, 25},
+ {26, 27, 28, 29, 30}
+ }
+ }
+ }
+ });
+ std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(Array1D<int,4> {
+ {1, 2, 3, 5}
+ });
+
+ std::shared_ptr<Node> myShape = Shape();
+ auto op = std::static_pointer_cast<OperatorTensor>(myShape -> getOperator());
+ op->associateInput(0,input);
+ op->setDataType(DataType::Int32);
+ op->setBackend("cpu");
+ myShape->forward();
+
+ REQUIRE(*(op->getOutput(0)) == *expectedOutput);
+
+ }
+ SECTION("Using attributes") {
+ std::shared_ptr<Tensor> input = std::make_shared<Tensor>(Array4D<int,1,2,3,5> {
+ {
+ {
+ {
+ { 1, 2, 3, 4, 5},
+ { 6, 7, 8, 9, 10},
+ {11, 12, 13, 14, 15}
+ },
+ {
+ {16, 17, 18, 19, 20},
+ {21, 22, 23, 24, 25},
+ {26, 27, 28, 29, 30}
+ }
+ }
+ }
+ });
+ std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(Array1D<int,2> {
+ {2, 3}
+ });
+
+ std::shared_ptr<Node> myShape = Shape(1, 2);
+ auto op = std::static_pointer_cast<OperatorTensor>(myShape -> getOperator());
+ op->associateInput(0,input);
+ op->setDataType(DataType::Int32);
+ op->setBackend("cpu");
+ myShape->forward();
+
+ REQUIRE(*(op->getOutput(0)) == *expectedOutput);
+
+ }
+}
\ No newline at end of file