# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """A script to extract the final p-tuning representations used for inference. Here is an example usage command: ```python python scripts/nlp_language_modeling/extract_inference_only_weights.py p_tuning.nemo ``` """ import argparse import os import torch parser = argparse.ArgumentParser() parser.add_argument("nemo", help="path to nemo file", type=str) parser.add_argument("taskname", help="taskname for the nemo model", type=str, default="taskname", required=False) args = parser.parse_args() os.system(f"tar xvf {args.nemo}") for p in '', 'mp_rank_00/', 'tp_rank_00_pp_rank_000/': try: a = torch.load(f'{p}model_weights.ckpt') break except FileNotFoundError: pass inf_weights = a['prompt_table'][f'prompt_table.{args.taskname}.prompt_embeddings.weight'] torch.save(inf_weights, "p_tuned.inf_only.ckpt")