def load_checkpoint(self):
is_load_successful, self.env.current_epoch, self.env.current_step = load_checkpoint(
self.config.checkpoint_dir,
self.exe,
main_program=self.main_program)
return is_load_successful
def load_checkpoint(self):
is_load_successful, self.env.current_epoch, self.env.current_step, self.best_score = load_checkpoint(
self.config.checkpoint_dir,
self.exe,
main_program=self.main_program)
# Revise max_train_steps when incremental training
if is_load_successful:
self.max_train_steps = self.env.current_step + self.max_train_steps / self.config.num_epoch * (
self.config.num_epoch - self.env.current_epoch + 1)
return is_load_successful
