I was trying to migrate my model from opennmt-tf to opennmt-py. My tf model use a tf-specific feature (ParallelInputter)
BTW, my 2 sources have same length.
def visualize(self, model_root, log_dir):
for inputter in self.inputters:
inputter.visualize(model_root, log_dir)
def _get_asset_prefix(prefix, inputter, i):
return "%s%s_" % (prefix, inputter.asset_prefix or str(i + 1))
class ParallelInputter(MultiInputter):
"""A multi inputter that processes parallel data."""
def __init__(self,
inputters,
reducer=None,
share_parameters=False,
combine_features=True):
"""Initializes a parallel inputter.
Args:
In that case you could merge the 2 sources in a single file and separate words from each source with the special ￨ character, e.g.:
she￨C was￨L eating￨L biscuits￨L afterwards￨L .￨N