def setUp(self):
xnmt.events.clear()
self.input_reader = PlainTextReader()
list(self.input_reader.read_sents('examples/data/head.ja'))
self.input_reader.freeze()
self.context = ExpGlobal(
dynet_param_collection=PersistentParamCollection(None, 0))
def setUp(self):
xnmt.events.clear()
self.exp_global = ExpGlobal(
dynet_param_collection=PersistentParamCollection("some_file", 1))
self.model = DefaultTranslator(
src_reader=PlainTextReader(),
trg_reader=PlainTextReader(),
src_embedder=SimpleWordEmbedder(exp_global=self.exp_global,
vocab_size=100),
encoder=BiLSTMSeqTransducer(exp_global=self.exp_global),
attender=MlpAttender(exp_global=self.exp_global),
trg_embedder=SimpleWordEmbedder(exp_global=self.exp_global,
vocab_size=100),
decoder=MlpSoftmaxDecoder(exp_global=self.exp_global,
vocab_size=100,
bridge=CopyBridge(
exp_global=self.exp_global,
dec_layers=1)),
)
self.model.set_train(False)
self.model.initialize_generator(beam=1)
self.src_data = list(
self.model.src_reader.read_sents("examples/data/head.ja"))
self.trg_data = list(
self.model.trg_reader.read_sents("examples/data/head.en"))
def setUp(self):
xnmt.events.clear()
self.exp_global = ExpGlobal(
dynet_param_collection=PersistentParamCollection("some_file", 1))
self.src_reader = PlainTextReader()
self.trg_reader = PlainTextReader()
self.src_data = list(
self.src_reader.read_sents("examples/data/head.ja"))
self.trg_data = list(
self.trg_reader.read_sents("examples/data/head.en"))
