Added fields indicating the argument name or position of each tensor …

…in the forward pass of a submodule.

setup.py

@@ -14,7 +14,7 @@
 
 setup(
     name="torchlens",
-    version="0.1.22",
+    version="0.1.23",
     description="A package for extracting activations from PyTorch models",
     long_description="A package for extracting activations from PyTorch models. Contains functionality for "
                      "extracting model activations, visualizing a model's computational graph, and "

torchlens/constants.py

@@ -95,6 +95,7 @@
     "module_num_tensors",
     "module_pass_num_tensors",
     "module_layers",
+    "module_layer_argnames",
     "module_pass_layers",
     # Time elapsed
     "pass_start_time",
@@ -231,6 +232,7 @@
     "module_nesting_depth",
     "modules_entered",
     "module_passes_entered",
+    "modules_entered_argnames",
     "is_submodule_input",
     "modules_exited",
     "module_passes_exited",

torchlens/model_history.py

@@ -223,6 +223,7 @@ def __init__(self, fields_dict: Dict):
         ]
         self.module_nesting_depth = fields_dict["module_nesting_depth"]
         self.modules_entered = fields_dict["modules_entered"]
+        self.modules_entered_argnames = fields_dict["modules_entered_argnames"]
         self.module_passes_entered = fields_dict["module_passes_entered"]
         self.is_submodule_input = fields_dict["is_submodule_input"]
         self.modules_exited = fields_dict["modules_exited"]
@@ -853,6 +854,7 @@ def __init__(
         self.module_pass_num_tensors: Dict = defaultdict(lambda: 0)
         self.module_layers: Dict = defaultdict(list)
         self.module_pass_layers: Dict = defaultdict(list)
+        self.module_layer_argnames = defaultdict(list)
 
         # Time elapsed:
         self.pass_start_time: float = 0
@@ -1361,6 +1363,12 @@ def decorated_forward(*args, **kwargs):
                 tensor_entry.modules_entered.append(module_address)
                 tensor_entry.module_passes_entered.append(module_pass_label)
                 tensor_entry.is_submodule_input = True
+                for arg_key, arg_val in list(enumerate(args)) + list(kwargs.items()):
+                    if arg_val is t:
+                        tensor_entry.modules_entered_argnames[
+                            f"{module_pass_label[0]}:{module_pass_label[1]}"].append(arg_key)
+                        self.module_layer_argnames[(f"{module_pass_label[0]}:"
+                                                    f"{module_pass_label[1]}")].append((t.tl_tensor_label_raw, arg_key))
                 tensor_entry.module_entry_exit_thread_output.append(
                     ("+", module_pass_label[0], module_pass_label[1])
                 )
@@ -2131,6 +2139,7 @@ def log_source_tensor_exhaustive(
             "containing_modules_origin_nested": [],
             "module_nesting_depth": 0,
             "modules_entered": [],
+            "modules_entered_argnames": defaultdict(list),
             "module_passes_entered": [],
             "is_submodule_input": False,
             "modules_exited": [],
@@ -2406,6 +2415,7 @@ def log_function_output_tensors_exhaustive(
         ] = containing_modules_origin_nested
         fields_dict["module_nesting_depth"] = len(containing_modules_origin_nested)
         fields_dict["modules_entered"] = []
+        fields_dict["modules_entered_argnames"] = defaultdict(list)
         fields_dict["module_passes_entered"] = []
         fields_dict["is_submodule_input"] = False
         fields_dict["modules_exited"] = []
@@ -4875,6 +4885,13 @@ def _rename_model_history_layer_names(self):
             )
             self.conditional_branch_edges[t] = (new_child, new_parent)
 
+        for module_pass, arglist in self.module_layer_argnames.items():
+            for a, arg in enumerate(arglist):
+                raw_name = self.module_layer_argnames[module_pass][a][0]
+                new_name = self.raw_to_final_layer_labels[raw_name]
+                argname = self.module_layer_argnames[module_pass][a][1]
+                self.module_layer_argnames[module_pass][a] = (new_name, argname)
+
     def _trim_and_reorder_model_history_fields(self):
         """
         Sorts the fields in ModelHistory into their desired order, and trims any