Traceback (most recent call last):


 "eventHandler.pyc", line 152, in executeEvent


 "eventHandler.pyc", line 92, in __init__


 "eventHandler.pyc", line 100, in next


 "appModules\explorer.pyc", line 280, in event_gainFocus


 "eventHandler.pyc", line 100, in next


 "NVDAObjects\__init__.pyc", line 951, in event_gainFocus


 "NVDAObjects\__init__.pyc", line 839, in reportFocus


 "speech.pyc", line 396, in speakObject


 "speech.pyc", line 752, in speakTextInfo


 "NVDAObjects\UIA\__init__.pyc", line 621, in getTextWithFields


 "NVDAObjects\UIA\__init__.pyc", line 611, in _getTextWithFieldsForUIARange


 "NVDAObjects\UIA\__init__.pyc", line 446, in _getTextWithFields_text


 "NVDAObjects\UIA\__init__.pyc", line 241, in _getFormatFieldAtRange
UnboundLocalError: local variable 'fetchAnnotationTypes' referenced before assignment

Traceback (most recent call last):


 "tf2coreml.py", line 103, in <module>

convertModel(model=_TRAIN_MODEL, ml_model=_ML_MODEL)


 "tf2coreml.py", line 94, in convertModel

minimum_ios_deployment_target='13')


 "/home/ubuntu/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/coremltools/converters/tensorflow/_tf_converter.py", line 193, in convert

optional_inputs=optional_inputs)


 "/home/ubuntu/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/coremltools/converters/nnssa/coreml/ssa_converter.py", line 154, in ssa_convert

converter.convert()


 "/home/ubuntu/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/coremltools/converters/nnssa/coreml/ssa_converter.py", line 581, in convert

convert_func(node)


 "/home/ubuntu/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/coremltools/converters/nnssa/coreml/ssa_converter.py", line 801, in _convert_slice

begin_masks = [True if i in node.attr['begin_masks'] else False for i in range(rank)]


 "/home/ubuntu/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/coremltools/converters/nnssa/coreml/ssa_converter.py", line 801, in <listcomp>

begin_masks = [True if i in node.attr['begin_masks'] else False for i in range(rank)]
KeyError: 'begin_masks'
