daanet
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hanxiao
DAANet: Dual Ask-Answer Network for Machine Reading Comprehension
I'm trying to run python grid_search.py daanet on a ubuntu 18.04 machine with an anaconda tensorflow environment ruamel.yaml 0.15.79 when i run "python grid_search.py daanet", i get `Traceback (most recent...
try: shutil.copytree('./', hparams.get('code_dir'), ignore=shutil.ignore_patterns(*IGNORE_PATTERNS)) logger.info('current code base is copied to %s' % hparams.get('save_dir')) except FileExistsError: logger.info('code base exist, no need to copy!') Maybe something wrong with these? Windows 7.
Can you please add your requirement.txt please so that it'll be easy to build # #
There seems to be missing file in **dataio_utils** The **full_load_io** doesn't implement the JSON loader necessary for io of sample data and squad's JSON format. tokenid2charsid is also not implemented....
I am trying to run on GPU. But it is showing a message, ```All GPUs are busy. Waiting for a free slot```. So is there any way to assign GPU...
I was trying to run the code there seem to be multiple errors in utils.helper with HParams (`TypeError: argument of type 'HParams' is not iterable`) and the `save` folder gets...
I'm interested in dual ask-answer model too much. I weired error in below File "/Users/sunu/IdeaProjects/QAZeroToAll/daanet/daanet/basic.py", line 169, in _embed trainable=True) File "/Users/sunu/IdeaProjects/QAZeroToAll/daanet/nlp/nn.py", line 91, in get_var regularizer=regularizer_fn, **kwargs) ... ValueError:...
``` ... I:0:1027-182128:[hel:par:166]: task_name = qag I:0:1027-182128:[hel:par:166]: test_files = ['./sample_data/sample.json'] I:0:1027-182128:[hel:par:166]: train_files = ['./sample_data/sample.json'] I:0:1027-182128:[hel:par:166]: use_answer_masks = True I:0:1027-182128:[hel:par:166]: use_coverage = True I:0:1027-182128:[hel:par:166]: use_oovs = True I:0:1027-182128:[hel:par:166]: weight_decay = 0...
