def read_data(self, max_train_size, max_dev_size):
utils.debug('reading training data')
train_set = utils.read_dataset(self.filenames.train,
self.extensions,
self.vocabs,
max_size=max_train_size,
binary_input=self.binary_input,
character_level=self.character_level)
self.batch_iterator = utils.read_ahead_batch_iterator(train_set,
self.batch_size,
read_ahead=10)
utils.debug('reading development data')
dev_sets = [
utils.read_dataset(dev,
self.extensions,
self.vocabs,
max_size=max_dev_size,
binary_input=self.binary_input,
character_level=self.character_level)
for dev in self.filenames.dev
]
# subset of the dev set whose perplexity is periodically evaluated
self.dev_batches = [
utils.get_batches(dev_set, batch_size=self.batch_size, batches=-1)
for dev_set in dev_sets
]
def read_data(self, max_train_size, max_dev_size, read_ahead=10, batch_mode='standard', shuffle=True,
crash_test=False, **kwargs):
utils.debug('reading training data')
self.batch_iterator, self.train_size = utils.get_batch_iterator(
self.filenames.train, self.extensions, self.vocabs, self.batch_size,
max_size=max_train_size, character_level=self.character_level, max_seq_len=self.max_len,
read_ahead=read_ahead, mode=batch_mode, shuffle=shuffle, binary=self.binary, crash_test=crash_test
)
utils.debug('reading development data')
dev_sets = [
utils.read_dataset(dev, self.extensions, self.vocabs, max_size=max_dev_size,
character_level=self.character_level, binary=self.binary)[0]
for dev in self.filenames.dev
]
# subset of the dev set whose loss is periodically evaluated
self.dev_batches = [utils.get_batches(dev_set, batch_size=self.batch_size) for dev_set in dev_sets]
def read_data(self,
max_train_size,
max_dev_size,
read_ahead=10,
batch_mode='standard',
shuffle=True,
**kwargs):
utils.debug('reading training data')
train_set = utils.read_dataset(self.filenames.train,
self.extensions,
self.vocabs,
max_size=max_train_size,
binary_input=self.binary_input,
character_level=self.character_level,
max_seq_len=self.max_input_len)
self.train_size = len(train_set)
self.batch_iterator = utils.read_ahead_batch_iterator(
train_set,
self.batch_size,
read_ahead=read_ahead,
mode=batch_mode,
shuffle=shuffle)
utils.debug('reading development data')
dev_sets = [
utils.read_dataset(dev,
self.extensions,
self.vocabs,
max_size=max_dev_size,
binary_input=self.binary_input,
character_level=self.character_level)
for dev in self.filenames.dev
]
# subset of the dev set whose perplexity is periodically evaluated
self.dev_batches = [
utils.get_batches(dev_set, batch_size=self.batch_size)
for dev_set in dev_sets
]