def run_cli(): root_dir = os.path.dirname(os.path.realpath(__file__)) parent_parser = ArgumentParser(add_help=False) # each LightningModule defines arguments relevant to it parser = LightningTemplateModel.add_model_specific_args(parent_parser, root_dir) parser = Trainer.add_argparse_args(parser) args = parser.parse_args() # --------------------- # RUN TRAINING # --------------------- main(args)
def run_cli(): # ------------------------ # TRAINING ARGUMENTS # ------------------------ # these are project-wide arguments root_dir = os.path.dirname(os.path.realpath(__file__)) parent_parser = ArgumentParser(add_help=False) # each LightningModule defines arguments relevant to it parser = LightningTemplateModel.add_model_specific_args( parent_parser, root_dir) parser = Trainer.add_argparse_args(parser) parser.set_defaults(gpus=2) args = parser.parse_args() # --------------------- # RUN TRAINING # --------------------- main(args)
# ------------------------ # 2 INIT TRAINER # ------------------------ trainer = pl.Trainer.from_argparse_args(args) # ------------------------ # 3 START TRAINING # ------------------------ trainer.fit(model) if __name__ == '__main__': # ------------------------ # TRAINING ARGUMENTS # ------------------------ # these are project-wide arguments root_dir = os.path.dirname(os.path.realpath(__file__)) parent_parser = ArgumentParser(add_help=False) # each LightningModule defines arguments relevant to it parser = LightningTemplateModel.add_model_specific_args( parent_parser, root_dir) parser = pl.Trainer.add_argparse_args(parser) args = parser.parse_args() # --------------------- # RUN TRAINING # --------------------- main(args)