Chore_26_compare-layer-import-export-onnx

Context

• [Add ] necessary functions to easily create many unit-tests to try import/forward_dims/export of Aidge operators copying ONNX operators aidge_onnx#26
  • function to create an ONNX model containing a single operator to test (any opset, any operator type).
  • Import the operator
    • update import function to copy input Tensor dimensions to Aidge model
  • Export the operator
    • update export function to copy input Tensor dimensions and run forward_dims() if necessary
• [Fix ] Constant ONNX operator import in case of 0-dimension array aidge_onnx#29 (closed)
  • add binding for Tensor constructor from shape and dtype
  • add binding for Tensor constructor from single arithmetic value
• [Enhance ] GraphView.save() to show dimension of input Tensors if set

Modified files

• pybind_Tensor.cpp
• GraphView.cpp

Detailed major modifications

More constructors available in Python API for Tensor.

python_binding/data/pybind_Tensor.cpp

@@ -51,6 +51,7 @@ void addCtor(py::class_<Tensor,
 
         return newTensor;
     }), py::arg("array"), py::arg("backend")="cpu")
+    .def(py::init<T>(), py::arg("val"))
     .def("__setitem__", (void (Tensor::*)(std::size_t, T)) &Tensor::set)
     .def("__setitem__", (void (Tensor::*)(std::vector<std::size_t>, T)) &Tensor::set)
     ;
@@ -73,6 +74,7 @@ void init_Tensor(py::module& m){
         (m,"Tensor", py::multiple_inheritance(), py::buffer_protocol());
 
     pyClassTensor.def(py::init<>())
+    .def(py::init<const std::vector<std::size_t>&>(), py::arg("dims"))
     .def(py::self + py::self)
     .def(py::self - py::self)
     .def(py::self * py::self)
@@ -86,7 +88,7 @@ void init_Tensor(py::module& m){
     .def("dtype", &Tensor::dataType)
     .def("size", &Tensor::size)
     .def("capacity", &Tensor::capacity)
-    .def("resize", (void (Tensor::*)(const std::vector<DimSize_t>&, std::vector<DimSize_t>)) &Tensor::resize)
+    .def("resize", (void (Tensor::*)(const std::vector<DimSize_t>&, std::vector<DimSize_t>)) &Tensor::resize, py::arg("dims"), py::arg("strides") = std::vector<DimSize_t>())
     .def("has_impl", &Tensor::hasImpl)
     .def("get_coord", &Tensor::getCoord)
     .def("get_idx", &Tensor::getIdx)