Add getInputs and getOuputs method for OperatorTensor.

include/aidge/operator/OperatorTensor.hpp

@@ -43,7 +43,7 @@ public:
     /**
      * @brief Operator tensor constructor. This function is not meant to be called directly but by a derived class constructor
      * every operator class derive from this class.
-     * 
+     *
 	 * @param[in] type     : type of operator (i.e. "Add", "AveragePool",...)
 	 * @param[in] inputsCategory : describes the type of each input.
 	 * @param[in] nbOut    : Number of tensors this operator will output
@@ -67,11 +67,14 @@ public:
     // input management
     void setInput(const IOIndex_t inputIdx, const std::shared_ptr<Data>& data) override;
     const std::shared_ptr<Tensor>& getInput(const IOIndex_t inputIdx) const;
+    virtual const std::vector<std::shared_ptr<Tensor>>& getInputs() const;
     std::shared_ptr<Data> getRawInput(const IOIndex_t inputIdx) const override final;
 
     // output management
     void setOutput(const IOIndex_t outputIdx, const std::shared_ptr<Data>& data) const override;
     virtual const std::shared_ptr<Tensor>& getOutput(const IOIndex_t outputIdx) const;
+    virtual const std::vector<std::shared_ptr<Tensor>>& getOutputs() const;
+
     std::shared_ptr<Aidge::Data> getRawOutput(const Aidge::IOIndex_t outputIdx) const override final;
     ///////////////////////////////////////////////////
 
@@ -94,7 +97,7 @@ public:
  	 *        - TOKEN mode means that forwarddims will only ensure that all inputs and outputs of the graph the node is within are connected.
  	 * @param[in] allowDataDependency if set to true, this means that this operator output dimensions depends on the dimensions of optional parameter tensors.
  	 * @return true if dims have been properly forwarded. false otherwise. If set to false, then forwardDims will enter in token mode.
- 	 *      
+ 	 *
      */
     virtual bool forwardDims(bool allowDataDependency = false);
     virtual bool dimsForwarded() const;
@@ -110,4 +113,4 @@ protected:
 };
 }  // namespace Aidge
 
-#endif  // AIDGE_CORE_OPERATOR_OPERATORTENSOR_H_
+#endif  // AIDGE_CORE_OPERATOR_OPERATORTENSOR_H_
\ No newline at end of file

python_binding/operator/pybind_OperatorTensor.cpp

@@ -26,7 +26,9 @@ namespace Aidge {
 void init_OperatorTensor(py::module& m){
     py::class_<OperatorTensor, std::shared_ptr<OperatorTensor>, Operator>(m, "OperatorTensor")
     .def("get_output", &OperatorTensor::getOutput, py::arg("outputIdx"))
+    .def("get_outputs", &OperatorTensor::getOutputs)
     .def("get_input", &OperatorTensor::getInput, py::arg("inputIdx"))
+    .def("get_inputs", &OperatorTensor::getInputs)
 
     .def("set_output", (void (OperatorTensor::*)(const IOIndex_t, const std::shared_ptr<Data>&) const) &OperatorTensor::setOutput, py::arg("outputIdx"), py::arg("data"))
     .def("set_input", (void (OperatorTensor::*)(const IOIndex_t, const std::shared_ptr<Data>&)) &OperatorTensor::setInput, py::arg("outputIdx"), py::arg("data"))

src/operator/OperatorTensor.cpp

@@ -92,6 +92,12 @@ const std::shared_ptr<Aidge::Tensor>& Aidge::OperatorTensor::getOutput(const Aid
     return mOutputs[outputIdx];
 }
 
+const std::vector<std::shared_ptr<Aidge::Tensor>>& Aidge::OperatorTensor::getOutputs() const{
+    return mOutputs;
+}
+const std::vector<std::shared_ptr<Aidge::Tensor>>& Aidge::OperatorTensor::getInputs() const{
+    return mInputs;
+}
 
 std::vector<std::pair<std::vector<Aidge::DimSize_t>, std::vector<Aidge::DimSize_t>>> Aidge::OperatorTensor::computeReceptiveField(
         const std::vector<DimSize_t>& firstEltDims,

src/operator/Slice.cpp

@@ -101,8 +101,9 @@ void Aidge::Slice_OpImpl::forward() {
             int step = op.steps()[axisIdx];
 
             start = start >= 0 ? start: start + inputDims[axisIdx];
+            start = std::max(0, std::min(start, static_cast<int>(inputDims[axisIdx])));
             end = end >= 0 ? end: end + inputDims[axisIdx];
-
+            end = std::max(0, std::min(end, static_cast<int>(inputDims[axisIdx])));
             // Generate the range of indices for this axis
             for (int idx = start; (step > 0) ? (idx < end) : (idx > end); idx += step) {
                 ranges[axisIdx].push_back(idx);
@@ -257,13 +258,13 @@ bool Aidge::Slice_Op::forwardDims(bool allowDataDependency) {
                                 static_cast<DimSize_t>(this->starts()[i]) :
                                 static_cast<DimSize_t>(this->starts()[i] + static_cast<DimSize_t>(getInput(0)->dims()[axis]));
             // Clamp start to the range [0, axis_dim]
-            start = std::max(static_cast<DimSize_t>(0), std::min(start, getInput(0)->dims()[axis]-1));
+            start = std::max(static_cast<DimSize_t>(0), std::min(start, getInput(0)->dims()[axis]));
 
             DimSize_t end = this->ends()[i] >= 0 ?
                             static_cast<DimSize_t>(this->ends()[i]) :
                             static_cast<DimSize_t>(this->ends()[i] + static_cast<DimSize_t>(getInput(0)->dims()[axis]));
             // Clamp end to the range [0, axis_dim]
-            end = std::max(static_cast<DimSize_t>(0), std::min(end, getInput(0)->dims()[axis]-1));
+            end = std::max(static_cast<DimSize_t>(0), std::min(end, getInput(0)->dims()[axis]));
             const std::int64_t step = this->steps()[i];
 
             AIDGE_ASSERT(step != 0, "Slice_Op: Step ({}) must have a non-zero value on axis {}!", this->steps(), axis);