cleanup todo

Signed-off-by: vladmandic <mandic00@live.com>

modules/control/proc/dwpose/config/yolox_l_8xb8-300e_coco.py

@@ -194,7 +194,6 @@ param_scheduler = [
     dict(
         # use quadratic formula to warm up 5 epochs
         # and lr is updated by iteration
-        # TODO: fix default scope in get function
         type='mmdet.QuadraticWarmupLR',
         by_epoch=True,
         begin=0,

modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/activations/activations.py

@@ -12,8 +12,6 @@ from torch.nn import functional as F
 def swish(x, inplace: bool = False):
     """Swish - Described originally as SiLU (https://arxiv.org/abs/1702.03118v3)
     and also as Swish (https://arxiv.org/abs/1710.05941).
-
-    TODO Rename to SiLU with addition to PyTorch
     """
     return x.mul_(x.sigmoid()) if inplace else x.mul(x.sigmoid())
 

modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/activations/activations_jit.py

@@ -22,8 +22,6 @@ __all__ = ['swish_jit', 'SwishJit', 'mish_jit', 'MishJit',
 def swish_jit(x, inplace: bool = False):
     """Swish - Described originally as SiLU (https://arxiv.org/abs/1702.03118v3)
     and also as Swish (https://arxiv.org/abs/1710.05941).
-
-    TODO Rename to SiLU with addition to PyTorch
     """
     return x.mul(x.sigmoid())
 

modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/activations/activations_me.py

@@ -36,8 +36,6 @@ class SwishJitAutoFn(torch.autograd.Function):
 
     Swish - Described originally as SiLU (https://arxiv.org/abs/1702.03118v3)
     and also as Swish (https://arxiv.org/abs/1710.05941).
-
-    TODO Rename to SiLU with addition to PyTorch
     """
 
     @staticmethod

modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/efficientnet_builder.py

@@ -483,7 +483,7 @@ def _decode_block_str(block_str):
     Returns:
         A list of block args (dicts)
     Raises:
-        ValueError: if the string def not properly specified (TODO)
+        ValueError: if the string def not properly specified
     """
     assert isinstance(block_str, str)
     ops = block_str.split('_')

modules/control/proc/zoe/zoedepth/models/layers/localbins_layers.py

@@ -155,7 +155,7 @@ class LinearSplitter(nn.Module):
 
         b_prev = b_prev / b_prev.sum(dim=1, keepdim=True)  # renormalize for gurantees
         # print(b_prev.shape, S_normed.shape)
-        # if is_for_query:(1).expand(-1, b_prev.size(0)//n, -1, -1, -1, -1).flatten(0,1)  # TODO ? can replace all this with a single torch.repeat?
+        # if is_for_query:(1).expand(-1, b_prev.size(0)//n, -1, -1, -1, -1).flatten(0,1)
         b = b_prev.unsqueeze(2) * S_normed
         b = b.flatten(1,2)  # .shape n, prev_nbins * split_factor, h, w
 

modules/control/proc/zoe/zoedepth/utils/config.py

@@ -395,7 +395,7 @@ def get_config(model_name, mode='train', dataset=None, **overwrite_kwargs):
     overwrite_kwargs = split_combined_args(overwrite_kwargs)
     config = {**config, **overwrite_kwargs}
 
-    # Casting to bool   # TODO: Not necessary. Remove and test
+    # Casting to bool
     for key in KEYS_TYPE_BOOL:
         if key in config:
             config[key] = bool(config[key])