[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

torch_points3d/applications/base_architectures/base_model.py

@@ -1,8 +1,8 @@
 import torch.nn as nn
 
+
 # This is the base class of the Backbone/API models, that provides useful functions to use within these models
 class BaseModel(nn.Module):
-
     # When creating new tensors (esp sparsetensors), we need to be able to send them to the correct device
     # as ptl won't do it automatically
     @property

torch_points3d/core/instantiator.py

@@ -57,7 +57,6 @@ def scheduler(self, cfg: DictConfig, optimizer: torch.optim.Optimizer) -> torch.
         return self.instantiate(cfg, optimizer=optimizer)
 
     def data_module(self, cfg: DictConfig) -> PointCloudDataModule:
-
         return self.instantiate(cfg)
 
     def logger(self, cfg: DictConfig) -> Optional[logging.Logger]:

torch_points3d/trainer.py

@@ -20,7 +20,6 @@ def __init__(
         model: TaskConfig = TaskConfig(),
         trainer: TrainerConfig = TrainerConfig(),
     ):
-
         # move these instantiations to `train`?
         self.data_module: PointCloudDataModule = instantiator.data_module(dataset)
         if self.data_module is None:

torch_points3d/utils/model_building_utils/model_definition_resolver.py

@@ -32,7 +32,6 @@ def resolve(obj, constants):
 
     # recursively resolve all children of obj
     for k in it:
-
         # if obj[k] is a primative type, evalulate it
         if resolve(obj[k], constants):
             if type(obj[k]) is str:

torch_points3d/utils/model_building_utils/resolver_utils.py

@@ -1,5 +1,6 @@
 import collections
 
+
 # from https://stackoverflow.com/questions/6027558/flatten-nested-dictionaries-compressing-keys
 # flattens nested dicts to a single dict, with keys concatenated
 # e.g. flatten_dict({'a': 1, 'c': {'a': 2, 'b': {'x': 5, 'y' : 10}}, 'd': [1, 2, 3]})