rust-bert/utils/download-dependencies_dialogpt-medium.py
2020-06-25 19:32:36 +02:00

53 lines
1.7 KiB
Python

from transformers.file_utils import get_from_cache, S3_BUCKET_PREFIX
from pathlib import Path
import shutil
import os
import numpy as np
import torch
import subprocess
ROOT_PATH = S3_BUCKET_PREFIX + '/' + 'microsoft/DialoGPT-medium'
config_path = ROOT_PATH + '/config.json'
vocab_path = ROOT_PATH + '/vocab.json'
merges_path = ROOT_PATH + '/merges.txt'
weights_path = ROOT_PATH + '/pytorch_model.bin'
target_path = Path.home() / 'rustbert' / 'dialogpt-medium'
temp_config = get_from_cache(config_path)
temp_vocab = get_from_cache(vocab_path)
temp_merges = get_from_cache(merges_path)
temp_weights = get_from_cache(weights_path)
os.makedirs(str(target_path), exist_ok=True)
config_path = str(target_path / 'config.json')
vocab_path = str(target_path / 'vocab.json')
merges_path = str(target_path / 'merges.txt')
model_path = str(target_path / 'model.bin')
shutil.copy(temp_config, config_path)
shutil.copy(temp_vocab, vocab_path)
shutil.copy(temp_merges, merges_path)
shutil.copy(temp_weights, model_path)
weights = torch.load(temp_weights, map_location='cpu')
nps = {}
for k, v in weights.items():
nps[k] = np.ascontiguousarray(v.cpu().numpy()).astype(np.float32)
if k == 'wte.weight':
nps['lm_head.weight'] = np.ascontiguousarray(v.cpu().numpy()).astype(np.float32)
np.savez(target_path / 'model.npz', **nps)
source = str(target_path / 'model.npz')
target = str(target_path / 'model.ot')
toml_location = (Path(__file__).resolve() / '..' / '..' / 'Cargo.toml').resolve()
subprocess.call(
['cargo', 'run', '--bin=convert-tensor', '--manifest-path=%s' % toml_location, '--', source, target])
os.remove(str(target_path / 'model.bin'))
os.remove(str(target_path / 'model.npz'))