Fix numpy -> tensor with latest tensorImpl changes (copyFromHost instead of...

Fix numpy -> tensor with latest tensorImpl changes (copyFromHost instead of setRawPtr) + Use of std::int32_t instead of in and std::int64_t instead of long to fit Data.hpp convention.

python_binding/data/pybind_Tensor.cpp

@@ -42,7 +42,7 @@ void addCtor(py::class_<Tensor,
         std::set<std::string> availableBackends = Tensor::getAvailableBackends();
         if (availableBackends.find("cpu") != availableBackends.end()){
             newTensor->setBackend("cpu");
-            newTensor->getImpl()->setRawPtr(static_cast<T*>(info.ptr), newTensor->size());
+            newTensor->getImpl()->copyFromHost(static_cast<T*>(info.ptr), newTensor->size());
         }else{
             printf("Warning : Could not use aidge_cpu backend, verify you have `import aidge_cpu`\n");
         }
@@ -95,9 +95,9 @@ void init_Tensor(py::module& m){
             case DataType::Float32:
                 return py::cast(b.get<float>(idx));
             case DataType::Int32:
-                return py::cast(b.get<int>(idx));
+                return py::cast(b.get<std::int32_t>(idx));
             case DataType::Int64:
-                return py::cast(b.get<long>(idx));
+                return py::cast(b.get<std::int64_t>(idx));
             default:
                 return py::none();
         }
@@ -110,9 +110,9 @@ void init_Tensor(py::module& m){
             case DataType::Float32:
                 return py::cast(b.get<float>(coordIdx));
             case DataType::Int32:
-                return py::cast(b.get<int>(coordIdx));
+                return py::cast(b.get<std::int32_t>(coordIdx));
             case DataType::Int64:
-                return py::cast(b.get<long>(coordIdx));
+                return py::cast(b.get<std::int64_t>(coordIdx));
             default:
                 return py::none();
         }
@@ -141,10 +141,10 @@ void init_Tensor(py::module& m){
                 dataFormatDescriptor = py::format_descriptor<float>::format();
                 break;
             case DataType::Int32:
-                dataFormatDescriptor = py::format_descriptor<int>::format();
+                dataFormatDescriptor = py::format_descriptor<std::int32_t>::format();
                 break;
             case DataType::Int64:
-                dataFormatDescriptor = py::format_descriptor<long>::format();
+                dataFormatDescriptor = py::format_descriptor<std::int64_t>::format();
                 break;
             default:
                 throw py::value_error("Unsupported data format");
@@ -162,8 +162,8 @@ void init_Tensor(py::module& m){
 
     // TODO : If the ctor with the right data type does not exist, pybind will always convert the data to INT !
     // Need to find a way to avoid this !
-    addCtor<int>(pyClassTensor);
-    addCtor<long>(pyClassTensor);
+    addCtor<std::int32_t>(pyClassTensor);
+    addCtor<std::int64_t>(pyClassTensor);
     addCtor<float>(pyClassTensor);
 // #if SIZE_MAX != 0xFFFFFFFF
     addCtor<double>(pyClassTensor);