nargs='*',
help="Run only the specified experiments")
argparser.set_defaults(generate_doc=False)
args = argparser.parse_args()
config_parser = OptionParser()
config_parser.add_task("preproc", xnmt_preproc.options)
config_parser.add_task("train", xnmt_train.options)
config_parser.add_task("decode", xnmt_decode.options)
config_parser.add_task("evaluate", xnmt_evaluate.options)
# Tweak the options to make config files less repetitive:
# - Delete evaluate:evaluator, replace with exp:eval_metrics
# - Delete decode:hyp_file, evaluate:hyp_file, replace with exp:hyp_file
# - Delete train:model, decode:model_file, replace with exp:model_file
config_parser.remove_option("evaluate", "evaluator")
config_parser.remove_option("decode", "trg_file")
config_parser.remove_option("evaluate", "hyp_file")
config_parser.remove_option("train", "model_file")
config_parser.remove_option("decode", "model_file")
experiment_options = [
Option("model_file",
default_value="<EXP>.mod",
help_str="Location to write the model file"),
Option("hyp_file",
default_value="<EXP>.hyp",
help_str="Location to write decoded output for evaluation"),
Option("out_file",
default_value="<EXP>.out",
help_str="Location to write stdout messages"),
