Summary: 49 instances, 46 unique

Text	Count
# TODO: validate op and name are valid	1
# TODO: better way for below?	1
# TODO: This should be fixed in PyTorch 1.2.0, revisit when it's released	1
# TODO: check specifically for output_shape is not generic. Consider refactoring.	1
else: #TODO: guess layer for other networks?	1
# TODO allow config	1
# TODO: this method is duplicated in Watcher and WatcherClient	2
# TODO: shall we raise error if non str, bool, number (or its container) parameters?	1
# TODO: may be we don't need all of below but none of them	1
#TODO: enable auto flattening	1
with torch.onnx.set_training(model, False):  # TODO: move outside of torch.onnx?	1
# 2/ the stride used by convolutional and pooling layers  (TODO: not fully working yet)	1
#TODO: save image, spawn browser?	1
transf = transforms.Compose([ #TODO: cache these transforms?	1
# TODO: avoid removing annotations for other streams	1
# TODO: find a better way to extract output shape	1
# TODO: inputs = [i.unique() for i in node.inputs()]	1
"layer_overrides": { #TODO: change names of these keys to same as dot params	1
# TODO: name is not tested yet	1
# TODO: assert on acceptable format values	1
#TODO: to enable delete we need to protect iteration in set_vars	1
# TODO: add input names to graph	2
#TODO: need better handling here?	1
#     # TODO: inputs = [i.unique() for i in node.inputs()]	1
# TODO: check eval_return.is_valid ?	1
# TODO: Was this meant to be applied only to 'top_level_ops'? Also, it's not	1
self.name = name  # TODO: clarify the use of op vs name vs title	1
self.condition = condition  # TODO: not implemented yet	1
# TODO: Find last node in the sub-graph and get the output shape from it	1
# TODO: not implemented yet. This function is a placeholder	1
# convolution. TODO: Can this be done in groups, too?	1
# TODO: what if devices were specified AND stream exist in cache?	1
# TODO: This might fail if the ID becomes too long	1
# TODO: Assuming the node has one output. Update if we encounter a multi-output node.	1
# TODO: If more nodes than patterns, we should consider	1
# TODO: sync with AirSim utils.py	1
# TODO: validate that op and name are valid	1
# TODO: handle Pytorch and TF models separately	1
# TODO: throw error?	1
stream_vis.stream_vis_args.clear() #TODO remove this	1
# TODO: better way to raise this error?	1
# TODO: If an edge exists with a different label, still don't add it again.	1
# TODO: remove list() call - currently needed because of error dictionary	1
if ann: #TODO: yref should be y2 for different y axis	2
# TODO: can we do better?	1
# TODO: Not handling the case of multiple incoming nodes yet	1