Add generate_input_files function in aigde_core.

aidge_core/export_utils/templates/c_data.jinja

+{#- For libraries #}
+#include <stdint.h>
+ {# Design header of the array -#}
+static const {{ data_t }} {{ name }}[{{ dims |join("*") }}] __attribute__((section("nn_data"))) = {
+{{ values |join(", ") }}
+};

aidge_core/export_utils/tensor_export.py

+import os
+
+from aidge_core.export_utils.code_generation import generate_file
+from aidge_core.export_utils.data_conversion import aidge2c
+from aidge_core import Tensor
+from pathlib import Path
+
+def tensor_to_c(tensor:Tensor)->str:
+    """Given a :py:class:``aigd_core.Tensor``, return a C description of the tensor.
+    For example:
+    {
+        {1, 2},
+        {3, 4}
+    }
+
+    :param tensor: Tensor to transform to a string
+    :type tensor: Tensor
+    :return: String representation of a C array
+    :rtype: str
+    """
+    return str(tensor)
+
+def generate_input_file(export_folder:str,
+                        array_name:str,
+                        tensor:Tensor):
+
+    # If directory doesn't exist, create it
+    if not os.path.exists(export_folder):
+        os.makedirs(export_folder)
+    print(f"gen : {export_folder}/{array_name}.h")
+    ROOT = Path(__file__).resolve().parents[0]
+    generate_file(
+        file_path=f"{export_folder}/{array_name}.h",
+        template_path=str(ROOT / "templates" / "c_data.jinja"),
+        dims = tensor.dims(),
+        data_t = aidge2c(tensor.dtype()),
+        name = array_name,
+        values = list(tensor)
+    )
+