mmdnn/conversion/caffe/mapper.py (4 lines):
	- line 82: # TODO: We need to identify whether this is 4D image data, otherwise we shouldn't change the dimension order
	- line 211: #TODO: Axis
	- line 213: #TODO: Unbiased
	- line 269: # TODO: The gamma parameter has to be set (in node.data?) and this should work.


mmdnn/conversion/tensorflow/tensorflow_parser.py (3 lines):
	- line 372: # TODO: Fused conv and pool with padding is different from defused operators
	- line 933: # TODO: Current it is only for slice
	- line 973: # TODO:  axis


mmdnn/conversion/keras/keras2_parser.py (3 lines):
	- line 199: # TODO: Fused conv and pool with padding is different from defused operators
	- line 226: # TODO: More activation functions
	- line 641: # Kit TODO : need to search the tf


mmdnn/conversion/caffe/graph.py (2 lines):
	- line 408: # TODO: raise error
	- line 423: # TODO: raise error


mmdnn/conversion/tensorflow/tensorflow_frozenparser.py (2 lines):
	- line 465: # TODO: Fused conv and pool with padding is different from defused operators
	- line 1147: # TODO:  only for 1D


mmdnn/conversion/cntk/cntk_parser.py (1 line):
	- line 353: # TODO: Handle square


mmdnn/conversion/keras/keras2_emitter.py (1 line):
	- line 833: # TODO: arguments won't be saved in keras export model


mmdnn/conversion/coreml/coreml_utils.py (1 line):
	- line 18: # TODO - remove style transfer 1D hack


mmdnn/conversion/caffe/shape.py (1 line):
	- line 89: # TODO: Find a better solution for this.


mmdnn/conversion/caffe/writer.py (1 line):
	- line 80: #FIXME:


mmdnn/conversion/rewriter/rnn_utils.py (1 line):
	- line 118: # TODO: pytorch, mxnet, keras, cntk


mmdnn/conversion/coreml/coreml_emitter.py (1 line):
	- line 426: # TODO  global pooling modification


mmdnn/conversion/coreml/coreml_parser.py (1 line):
	- line 213: #  TODO dtype_map