def _construct_examples_batch(batch_size, split, num_classes,
num_tr_examples_per_class,
num_val_examples_per_class):
data_provider = data.DataProvider(split, config.get_data_config())
examples_batch = data_provider.get_batch(batch_size, num_classes,
num_tr_examples_per_class,
num_val_examples_per_class)
return utils.unpack_data(examples_batch)
def _construct_examples_batch(batch_size, split, num_classes,
num_tr_examples_per_class,
num_val_examples_per_class,
use_cross=False):
data_provider = data.DataProvider(split, config.get_data_config(), feat_dim=FLAGS.feat_dim, use_cross=use_cross)
examples_batch = data_provider.get_batch(batch_size, num_classes,
num_tr_examples_per_class,
num_val_examples_per_class,
num_pretrain_classes=FLAGS.num_pretrain_classes)
return utils.unpack_data(examples_batch)