v1.7.2

.pre-commit-config.yaml

@@ -19,7 +19,7 @@ repos:
       - id: isort
 
   - repo: https://github.com/psf/black
-    rev: 22.12.0
+    rev: 23.1.0
     hooks:
       - id: black
         args: [-C]
@@ -36,7 +36,7 @@ repos:
           ]
 
   - repo: https://github.com/PyCQA/pylint
-    rev: v2.16.0b1
+    rev: v2.16.1
     hooks:
       - id: pylint
         args: ["--disable=import-error"]

tests/fixtures/models.py

@@ -376,7 +376,8 @@ def __init__(self) -> None:
         self.linear = nn.Linear(3, 1)
 
     def forward(self, input_list: dict[str, torch.Tensor]) -> dict[str, IntWithGetitem]:
-        x = input_list["foo"] if input_list else torch.ones(3)
+        device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+        x = input_list["foo"] if input_list else torch.ones(3).to(device)
         x = self.linear(x)
         return {"foo": IntWithGetitem(x)}
 

torchinfo/__init__.py

@@ -11,4 +11,4 @@
     "Units",
     "Verbosity",
 )
-__version__ = "1.7.1"
+__version__ = "1.7.2"

torchinfo/model_statistics.py

@@ -27,6 +27,7 @@ def __init__(
 
         # TODO: Figure out why the below functions using max() are ever 0
         # (they should always be non-negative), and remove the call to max().
+        # Investigation: https://github.com/TylerYep/torchinfo/pull/195
         for layer_info in summary_list:
             if layer_info.is_leaf_layer:
                 self.total_mult_adds += layer_info.macs

torchinfo/torchinfo.py

@@ -343,7 +343,6 @@ def add_missing_container_layers(summary_list: list[LayerInfo]) -> None:
                 d not in current_hierarchy
                 or current_hierarchy[d].module is not hierarchy[d].module
             ) and hierarchy[d] is not summary_list[idx + rel_idx - 1]:
-
                 hierarchy[d].calculate_num_params()
                 hierarchy[d].check_recursive(layer_ids)
                 summary_list.insert(idx + rel_idx, hierarchy[d])