def init_from_file(self, file_name):
"""Initialize this task from file."""
dictionary = trainer_lib.unpickle_from_file(file_name, gzip=False)
self._max_steps = dictionary['max_steps']
self._gamma = dictionary['gamma']
epochs_to_load = dictionary['all_epochs']
for epoch in epochs_to_load:
trajectories = trainer_lib.unpickle_from_file(
self._epoch_filename(file_name, epoch), gzip=True)
self._trajectories[epoch] = trajectories
self._saved_epochs_unchanged = epochs_to_load
def load_initial_trajectories_from_path(self,
initial_trajectories_path,
dictionary_file='trajectories.pkl',
start_epoch_to_load=0):
"""Initialize trajectories task from file."""
# We assume that this is a dump generated by Trax
dictionary_file = os.path.join(initial_trajectories_path,
dictionary_file)
dictionary = trainer_lib.unpickle_from_file(dictionary_file,
gzip=False)
# TODO(henrykm): as currently implemented this accesses only
# at most the last n_replay_epochs - this should be more flexible
epochs_to_load = dictionary['all_epochs'][start_epoch_to_load:]
all_trajectories = []
for epoch in epochs_to_load:
trajectories = trainer_lib.unpickle_from_file(self._epoch_filename(
dictionary_file, epoch),
gzip=True)
all_trajectories += trajectories
return all_trajectories
