def __init__(self, opt, shared=None):
super().__init__(opt)
self.id = 'localHuman'
self.episodeDone = False
self.fixedCands_txt = load_cands(
self.opt.get('local_human_candidates_file'))
print("Enter [DONE] if you want to end the episode.\n")
def __init__(self, opt, shared=None):
super().__init__(opt)
self.id = 'localHuman'
self.episodeDone = False
self.finished = False
self.fixedCands_txt = load_cands(
self.opt.get('local_human_candidates_file'))
def __init__(self, opt, shared=None):
super().__init__(opt)
self.id = 'localHuman'
self.episodeDone = False
self.finished = False
self.fixedCands_txt = load_cands(
self.opt.get('local_human_candidates_file'))
print(
colorize(
"Enter [DONE] if you want to end the episode, [EXIT] to quit.",
'highlight',
))
def __init__(self, opt, shared=None):
"""
Set up model if shared params not set, otherwise no work to do.
"""
super().__init__(opt, shared)
opt = self.opt
self.reset_metrics()
self.id = 'Starspace'
self.NULL_IDX = 0
self.cands = torch.LongTensor(1, 1, 1)
self.ys_cache = []
self.ys_cache_sz = opt['cache_size']
self.truncate = opt['truncate'] if opt['truncate'] > 0 else None
self.history = {}
self.debugMode = False
if shared:
torch.set_num_threads(1)
# set up shared properties
self.dict = shared['dict']
self.model = shared['model']
else:
print("[ creating StarspaceAgent ]")
# this is not a shared instance of this class, so do full init
if opt.get('model_file') and (
os.path.isfile(opt.get('model_file') + '.dict')
or (opt['dict_file'] is None)
):
# set default dict-file if not set
opt['dict_file'] = opt['model_file'] + '.dict'
# load dictionary and basic tokens & vectors
self.dict = DictionaryAgent(opt)
self.model = Starspace(opt, len(self.dict), self.dict)
if opt.get('model_file') and os.path.isfile(opt['model_file']):
self.load(opt['model_file'])
else:
self._init_embeddings()
self.model.share_memory()
# set up modules
self.criterion = torch.nn.CosineEmbeddingLoss(
margin=opt['margin'], size_average=False
)
self.reset()
self.fixedCands = False
self.fixedX = None
if self.opt.get('fixed_candidates_file'):
self.fixedCands_txt = load_cands(self.opt.get('fixed_candidates_file'))
fcs = []
for c in self.fixedCands_txt:
fcs.append(torch.LongTensor(self.parse(c)).unsqueeze(0))
self.fixedCands = fcs
print("[loaded candidates]")
def __init__(self, opt, shared=None, query_txt=None):
super().__init__(opt)
self.id = 'localHuman'
self.episodeDone = False
self.finished = False
self.fixedCands_txt = load_cands(
self.opt.get('local_human_candidates_file'))
# utilizing given query text
self.query_txt = self.make_txt_readable(query_txt)
self.line_no = 0
print(
colorize(
"Enter [DONE] if you want to end the episode, [EXIT] to quit.",
'highlight',
))
