[Feat](Exports) Add custom options to exports

Context

Some exports are different. Mine is. However they were not able to express their difference, as some people want the exports to be all the same. This merge request aims to bring back some diversity among exports, by allowing to specify the forward template file to use or the location of exported kernels.

Modified files

• export_registry.py : Add forward templates optional variables for body and header;
• scheduler_export.py : Use forward templates optional variables if not empty to generate the forward files. Add the test_mode optional parameter. This may be replaced in future versions.
• pybind_data.cpp : Binding of get_data_format_transpose function.
• pybind_tensor.cpp : Binding of set_data_format function.
• GraphView.cpp : Add datatype to mermaid file generation.

aidge_core/static_analysis.py

@@ -19,7 +19,9 @@ class StaticAnalysisExt(aidge_core.StaticAnalysis):
             series.append([name, self.get_nb_params(node)])
 
         if title is None: title = "log_nb_params"
-        self._log_bar(series, filename, title, legend, log_scale)
+        if filename is not None:
+            self._log_bar(series, filename, title, legend, log_scale)
+        return series
 
     def log_params_size(self, filename, title=None, log_scale=False):
         namePtrTable = self.get_graph().get_ranked_nodes_name("{0} ({1}#{3})");
@@ -35,38 +37,40 @@ class StaticAnalysisExt(aidge_core.StaticAnalysis):
             series.append([name, self.log_params_size(node)])
 
         if title is None: title = "log_params_size"
-        self._log_bar(series, filename, title, legend, log_scale)
+        if filename is not None:
+            self._log_bar(series, filename, title, legend, log_scale)
+        return series
 
     def log_nb_arithm_ops(self, filename, title=None, log_scale=False):
-        self._log_callback(aidge_core.OperatorStats.get_nb_arithm_ops, filename, title, log_scale)
+        return self._log_callback(aidge_core.OperatorStats.get_nb_arithm_ops, filename, title, log_scale)
 
     def log_nb_logic_ops(self, filename, title=None, log_scale=False):
-        self._log_callback(aidge_core.OperatorStats.get_nb_logic_ops, filename, title, log_scale)
+        return self._log_callback(aidge_core.OperatorStats.get_nb_logic_ops, filename, title, log_scale)
 
     def log_nb_comp_ops(self, filename, title=None, log_scale=False):
-        self._log_callback(aidge_core.OperatorStats.get_nb_comp_ops, filename, title, log_scale)
+        return self._log_callback(aidge_core.OperatorStats.get_nb_comp_ops, filename, title, log_scale)
 
     def log_nb_nl_ops(self, filename, title=None, log_scale=False):
-        self._log_callback(aidge_core.OperatorStats.get_nb_nl_ops, filename, title, log_scale)
+        return self._log_callback(aidge_core.OperatorStats.get_nb_nl_ops, filename, title, log_scale)
 
     def log_nb_mac_ops(self, filename, title=None, log_scale=False):
-        self._log_callback(aidge_core.OperatorStats.get_nb_mac_ops, filename, title, log_scale)
+        return self._log_callback(aidge_core.OperatorStats.get_nb_mac_ops, filename, title, log_scale)
 
     def log_nb_ops(self, filename, title=None, log_scale=False):
-        self._log_callback(aidge_core.OperatorStats.get_nb_ops, filename, title, log_scale)
+        return self._log_callback(aidge_core.OperatorStats.get_nb_ops, filename, title, log_scale)
 
     def log_nb_arithm_int_ops(self, filename, title=None, log_scale=False):
-        self._log_callback(aidge_core.OperatorStats.get_nb_arithm_int_ops, filename, title, log_scale)
+        return self._log_callback(aidge_core.OperatorStats.get_nb_arithm_int_ops, filename, title, log_scale)
 
     def log_nb_arithm_fp_ops(self, filename, title=None, log_scale=False):
-        self._log_callback(aidge_core.OperatorStats.get_nb_arithm_fp_ops, filename, title, log_scale)
+        return self._log_callback(aidge_core.OperatorStats.get_nb_arithm_fp_ops, filename, title, log_scale)
 
     def log_nb_ops_by_type(self, filename, title=None, log_scale=False):
-        self._log_callback([aidge_core.OperatorStats.get_nb_arithm_int_ops,
-                            aidge_core.OperatorStats.get_nb_arithm_fp_ops,
-                            aidge_core.OperatorStats.get_nb_logic_ops,
-                            aidge_core.OperatorStats.get_nb_comp_ops,
-                            aidge_core.OperatorStats.get_nb_nl_ops], filename, title, log_scale)
+        return self._log_callback([aidge_core.OperatorStats.get_nb_arithm_int_ops,
+                                  aidge_core.OperatorStats.get_nb_arithm_fp_ops,
+                                  aidge_core.OperatorStats.get_nb_logic_ops,
+                                  aidge_core.OperatorStats.get_nb_comp_ops,
+                                  aidge_core.OperatorStats.get_nb_nl_ops], filename, title, log_scale)
 
     def _log_callback(self, callback, filename, title=None, log_scale=False):
         """
@@ -115,7 +119,9 @@ class StaticAnalysisExt(aidge_core.StaticAnalysis):
                 if title is None: title = callback.__name__
 
         if title is None: title = str(callback)
-        self._log_bar(series, filename, title, legend, log_scale)
+        if filename is not None:
+            self._log_bar(series, filename, title, legend, log_scale)
+        return series
 
     def _log_bar(self, series, filename, title=None, legend=None, log_scale=False):
         names, values = zip(*series)