tensorwatch/model_graph/hiddenlayer/graph.py (7 lines):
	- line 39: "layer_overrides": { #TODO: change names of these keys to same as dot params
	- line 85: self.name = name  # TODO: clarify the use of op vs name vs title
	- line 232: # TODO: If an edge exists with a different label, still don't add it again.
	- line 263: # TODO: Not handling the case of multiple incoming nodes yet
	- line 297: # TODO: check specifically for output_shape is not generic. Consider refactoring.
	- line 325: # TODO: This might fail if the ID becomes too long
	- line 396: # TODO: assert on acceptable format values


tensorwatch/watcher_base.py (5 lines):
	- line 66: # TODO: what if devices were specified AND stream exist in cache?
	- line 149: # TODO: throw error?
	- line 161: # TODO: remove list() call - currently needed because of error dictionary
	- line 196: # TODO: check eval_return.is_valid ?
	- line 213: #TODO: to enable delete we need to protect iteration in set_vars


tensorwatch/model_graph/hiddenlayer/transforms.py (4 lines):
	- line 28: # TODO: validate that op and name are valid
	- line 60: # TODO: validate op and name are valid
	- line 85: # TODO: Find last node in the sub-graph and get the output shape from it
	- line 193: # TODO: name is not tested yet


tensorwatch/model_graph/hiddenlayer/pytorch_builder.py (4 lines):
	- line 57: # TODO: find a better way to extract output shape
	- line 58: # TODO: Assuming the node has one output. Update if we encounter a multi-output node.
	- line 98: # TODO: add input names to graph
	- line 133: # TODO: inputs = [i.unique() for i in node.inputs()]


tensorwatch/model_graph/hiddenlayer/pytorch_builder_trace.py (3 lines):
	- line 64: with torch.onnx.set_training(model, False):  # TODO: move outside of torch.onnx?
	- line 79: # TODO: add input names to graph
	- line 101: #     # TODO: inputs = [i.unique() for i in node.inputs()]


tensorwatch/model_graph/hiddenlayer/ge.py (3 lines):
	- line 66: # TODO: not implemented yet. This function is a placeholder
	- line 93: self.condition = condition  # TODO: not implemented yet
	- line 141: # TODO: If more nodes than patterns, we should consider


tensorwatch/model_graph/hiddenlayer/summary_graph.py (2 lines):
	- line 112: # TODO: This should be fixed in PyTorch 1.2.0, revisit when it's released
	- line 202: # TODO: Was this meant to be applied only to 'top_level_ops'? Also, it's not


tensorwatch/plotly/line_plot.py (2 lines):
	- line 145: if ann: #TODO: yref should be y2 for different y axis
	- line 185: # TODO: avoid removing annotations for other streams


tensorwatch/watcher.py (2 lines):
	- line 40: # TODO: can we do better?
	- line 50: # TODO: this method is duplicated in Watcher and WatcherClient


tensorwatch/plotly/base_plotly_plot.py (2 lines):
	- line 78: # TODO: better way for below?
	- line 84: #TODO: save image, spawn browser?


tensorwatch/utils.py (1 line):
	- line 161: # TODO: sync with AirSim utils.py


tensorwatch/imagenet_utils.py (1 line):
	- line 9: transf = transforms.Compose([ #TODO: cache these transforms?


tensorwatch/notebook_maker.py (1 line):
	- line 49: # TODO: shall we raise error if non str, bool, number (or its container) parameters?


tensorwatch/image_utils.py (1 line):
	- line 34: # TODO allow config


tensorwatch/saliency/inverter_util.py (1 line):
	- line 492: # convolution. TODO: Can this be done in groups, too?


tensorwatch/evaler_utils.py (1 line):
	- line 156: # TODO: handle Pytorch and TF models separately


tensorwatch/mpl/base_mpl_plot.py (1 line):
	- line 89: # TODO: may be we don't need all of below but none of them


tensorwatch/saliency/saliency.py (1 line):
	- line 55: else: #TODO: guess layer for other networks?


tensorwatch/mpl/line_plot.py (1 line):
	- line 164: if ann: #TODO: yref should be y2 for different y axis


tensorwatch/zmq_wrapper.py (1 line):
	- line 95: # TODO: better way to raise this error?


tensorwatch/watcher_client.py (1 line):
	- line 51: # TODO: this method is duplicated in Watcher and WatcherClient


tensorwatch/vis_base.py (1 line):
	- line 112: #TODO: need better handling here?


tensorwatch/model_graph/hiddenlayer/tf_builder.py (1 line):
	- line 119: # 2/ the stride used by convolutional and pooling layers  (TODO: not fully working yet)


tensorwatch/embeddings/tsne_utils.py (1 line):
	- line 12: #TODO: enable auto flattening


tensorwatch/plotly/embeddings_plot.py (1 line):
	- line 63: stream_vis.stream_vis_args.clear() #TODO remove this