[Update] translation_utils.py: Refactor weight handling and improve error logging
add translate model - jncraton/m2m100_418M-ct2-int8 - jncraton/m2m100_1.2B-ct2-int8 - OpenNMT/nllb-200-3.3B-ct2-int8 - OpenNMT/nllb-200-distilled-1.3B-ct2-int8
This commit is contained in:
@@ -1,99 +1,88 @@
|
|||||||
import tempfile
|
|
||||||
from zipfile import ZipFile
|
|
||||||
from os import path as os_path
|
from os import path as os_path
|
||||||
from os import makedirs as os_makedirs
|
from os import makedirs as os_makedirs
|
||||||
from requests import get as requests_get
|
|
||||||
from typing import Callable
|
from typing import Callable
|
||||||
import hashlib
|
|
||||||
import transformers
|
import transformers
|
||||||
|
import ctranslate2
|
||||||
|
from huggingface_hub import hf_hub_url, list_repo_files
|
||||||
|
from requests import get as requests_get
|
||||||
|
try:
|
||||||
from utils import errorLogging
|
from utils import errorLogging
|
||||||
|
except Exception:
|
||||||
|
import traceback
|
||||||
|
def errorLogging():
|
||||||
|
print(traceback.format_exc())
|
||||||
|
|
||||||
ctranslate2_weights = {
|
ctranslate2_weights = {
|
||||||
"small": { # M2M-100 418M-parameter model
|
"small": {
|
||||||
"url": "https://github.com/misyaguziya/VRCT-weights/releases/download/v1.0/m2m100_418m.zip",
|
# "hf_repo": "jncraton/m2m100_418M-ct2-int8",
|
||||||
"directory_name": "m2m100_418m",
|
# "directory_name": "m2m100_418M-ct2-int8",
|
||||||
"tokenizer": "facebook/m2m100_418M",
|
# "tokenizer": "facebook/m2m100_418M",
|
||||||
"hash": {
|
"hf_repo": "OpenNMT/nllb-200-distilled-1.3B-ct2-int8",
|
||||||
"model.bin": "e7c26a9abb5260abd0268fbe3040714070dec254a990b4d7fd3f74c5230e3acb",
|
"directory_name": "nllb-200-distilled-1.3B-ct2-int8",
|
||||||
"sentencepiece.model": "d8f7c76ed2a5e0822be39f0a4f95a55eb19c78f4593ce609e2edbc2aea4d380a",
|
"tokenizer": "facebook/nllb-200-distilled-1.3B",
|
||||||
"shared_vocabulary.txt": "bd440aa21b8ca3453fc792a0018a1f3fe68b3464aadddd4d16a4b72f73c86d8c",
|
|
||||||
}
|
|
||||||
},
|
},
|
||||||
"large": { # M2M-100 1.2B-parameter model
|
"large": {
|
||||||
"url": "https://github.com/misyaguziya/VRCT-weights/releases/download/v1.0/m2m100_12b.zip",
|
"hf_repo": "jncraton/m2m100_1.2B-ct2-int8",
|
||||||
"directory_name": "m2m100_12b",
|
"directory_name": "m2m100_1.2B-ct2-int8",
|
||||||
"tokenizer": "facebook/m2m100_1.2b",
|
"tokenizer": "facebook/m2m100_1.2B",
|
||||||
"hash": {
|
},
|
||||||
"model.bin": "abb7bf4ba7e5e016b6e3ed480c752459b2f783ac8fca372e7587675e5bf3a919",
|
"nllb-200-3.3B-ct2-int8": {
|
||||||
"sentencepiece.model": "d8f7c76ed2a5e0822be39f0a4f95a55eb19c78f4593ce609e2edbc2aea4d380a",
|
"hf_repo": "OpenNMT/nllb-200-3.3B-ct2-int8",
|
||||||
"shared_vocabulary.txt": "bd440aa21b8ca3453fc792a0018a1f3fe68b3464aadddd4d16a4b72f73c86d8c",
|
"directory_name": "nllb-200-3.3B-ct2-int8",
|
||||||
}
|
"tokenizer": "facebook/nllb-200-3.3B",
|
||||||
|
},
|
||||||
|
"nllb-200-distilled-1.3B": {
|
||||||
|
"hf_repo": "OpenNMT/nllb-200-distilled-1.3B-ct2-int8",
|
||||||
|
"directory_name": "nllb-200-distilled-1.3B-ct2-int8",
|
||||||
|
"tokenizer": "facebook/nllb-200-distilled-1.3B",
|
||||||
},
|
},
|
||||||
}
|
}
|
||||||
|
|
||||||
def calculate_file_hash(file_path, block_size=65536):
|
def checkCTranslate2Weight(root: str, weight_type: str = "small"):
|
||||||
hash_object = hashlib.sha256()
|
|
||||||
|
|
||||||
with open(file_path, 'rb') as file:
|
|
||||||
for block in iter(lambda: file.read(block_size), b''):
|
|
||||||
hash_object.update(block)
|
|
||||||
|
|
||||||
return hash_object.hexdigest()
|
|
||||||
|
|
||||||
def checkCTranslate2Weight(root, weight_type="small"):
|
|
||||||
weight_directory_name = ctranslate2_weights[weight_type]["directory_name"]
|
weight_directory_name = ctranslate2_weights[weight_type]["directory_name"]
|
||||||
hash_data = ctranslate2_weights[weight_type]["hash"]
|
path = os_path.join(root, "weights", "ctranslate2", weight_directory_name)
|
||||||
files = [
|
try:
|
||||||
"model.bin",
|
# モデルロード可能かどうかで判定
|
||||||
"sentencepiece.model",
|
ctranslate2.Translator(path)
|
||||||
"shared_vocabulary.txt"
|
return True
|
||||||
]
|
except Exception:
|
||||||
path = os_path.join(root, "weights", "ctranslate2")
|
return False
|
||||||
|
|
||||||
# check already downloaded
|
def downloadCTranslate2Weight(root: str, weight_type: str = "small", callback: Callable = None, end_callback: Callable = None):
|
||||||
already_downloaded = False
|
hf_repo = ctranslate2_weights[weight_type]["hf_repo"]
|
||||||
if all(os_path.exists(os_path.join(path, weight_directory_name, file)) for file in files):
|
files = list_repo_files(repo_id=hf_repo)
|
||||||
# check hash
|
path = os_path.join(root, "weights", "ctranslate2", ctranslate2_weights[weight_type]["directory_name"])
|
||||||
for file in files:
|
if checkCTranslate2Weight(root, weight_type):
|
||||||
original_hash = hash_data[file]
|
return True
|
||||||
current_hash = calculate_file_hash(os_path.join(path, weight_directory_name, file))
|
|
||||||
if original_hash != current_hash:
|
|
||||||
break
|
|
||||||
already_downloaded = True
|
|
||||||
return already_downloaded
|
|
||||||
|
|
||||||
def downloadCTranslate2Weight(root, weight_type="small", callback=None, end_callback=None):
|
|
||||||
url = ctranslate2_weights[weight_type]["url"]
|
|
||||||
filename = "weight.zip"
|
|
||||||
path = os_path.join(root, "weights", "ctranslate2")
|
|
||||||
os_makedirs(path, exist_ok=True)
|
os_makedirs(path, exist_ok=True)
|
||||||
|
|
||||||
if checkCTranslate2Weight(root, weight_type) is False:
|
def downloadFile(url: str, file_path: str, func: Callable = None):
|
||||||
try:
|
try:
|
||||||
with tempfile.TemporaryDirectory() as tmp_path:
|
|
||||||
res = requests_get(url, stream=True)
|
res = requests_get(url, stream=True)
|
||||||
|
res.raise_for_status()
|
||||||
file_size = int(res.headers.get('content-length', 0))
|
file_size = int(res.headers.get('content-length', 0))
|
||||||
total_chunk = 0
|
total_chunk = 0
|
||||||
with open(os_path.join(tmp_path, filename), 'wb') as file:
|
with open(file_path, 'wb') as file:
|
||||||
for chunk in res.iter_content(chunk_size=1024*2000):
|
for chunk in res.iter_content(chunk_size=1024*2000):
|
||||||
file.write(chunk)
|
file.write(chunk)
|
||||||
if isinstance(callback, Callable):
|
if func is not None:
|
||||||
total_chunk += len(chunk)
|
total_chunk += len(chunk)
|
||||||
callback(total_chunk/file_size)
|
func(total_chunk/file_size)
|
||||||
|
|
||||||
with ZipFile(os_path.join(tmp_path, filename)) as zf:
|
|
||||||
zf.extractall(path)
|
|
||||||
except Exception:
|
except Exception:
|
||||||
errorLogging()
|
errorLogging()
|
||||||
|
|
||||||
if isinstance(end_callback, Callable):
|
for filename in files:
|
||||||
|
file_path = os_path.join(path, filename)
|
||||||
|
url = hf_hub_url(hf_repo, filename)
|
||||||
|
downloadFile(url, file_path, func=callback if filename == "model.bin" else None)
|
||||||
|
|
||||||
|
if end_callback is not None:
|
||||||
end_callback()
|
end_callback()
|
||||||
|
|
||||||
def downloadCTranslate2Tokenizer(path, weight_type="small"):
|
def downloadCTranslate2Tokenizer(path: str, weight_type: str = "small"):
|
||||||
directory_name = ctranslate2_weights[weight_type]["directory_name"]
|
directory_name = ctranslate2_weights[weight_type]["directory_name"]
|
||||||
tokenizer = ctranslate2_weights[weight_type]["tokenizer"]
|
tokenizer = ctranslate2_weights[weight_type]["tokenizer"]
|
||||||
tokenizer_path = os_path.join(path, "weights", "ctranslate2", directory_name, "tokenizer")
|
tokenizer_path = os_path.join(path, "weights", "ctranslate2", directory_name, "tokenizer")
|
||||||
|
|
||||||
try:
|
try:
|
||||||
os_makedirs(tokenizer_path, exist_ok=True)
|
os_makedirs(tokenizer_path, exist_ok=True)
|
||||||
transformers.AutoTokenizer.from_pretrained(tokenizer, cache_dir=tokenizer_path)
|
transformers.AutoTokenizer.from_pretrained(tokenizer, cache_dir=tokenizer_path)
|
||||||
@@ -101,3 +90,20 @@ def downloadCTranslate2Tokenizer(path, weight_type="small"):
|
|||||||
errorLogging()
|
errorLogging()
|
||||||
tokenizer_path = os_path.join("./weights", "ctranslate2", directory_name, "tokenizer")
|
tokenizer_path = os_path.join("./weights", "ctranslate2", directory_name, "tokenizer")
|
||||||
transformers.AutoTokenizer.from_pretrained(tokenizer, cache_dir=tokenizer_path)
|
transformers.AutoTokenizer.from_pretrained(tokenizer, cache_dir=tokenizer_path)
|
||||||
|
|
||||||
|
# テスト用コード(直接実行時のみ)
|
||||||
|
if __name__ == "__main__":
|
||||||
|
def progress_callback(percent):
|
||||||
|
print(f"Download progress: {percent*100:.2f}%")
|
||||||
|
|
||||||
|
def end_callback():
|
||||||
|
print("Download finished.")
|
||||||
|
|
||||||
|
root = "./" # 必要に応じてパスを変更
|
||||||
|
# for weight_type in ctranslate2_weights.keys():
|
||||||
|
# print(f"Testing download for: {weight_type}")
|
||||||
|
# downloadCTranslate2Weight(root, weight_type, callback=progress_callback, end_callback=end_callback)
|
||||||
|
# result = checkCTranslate2Weight(root, weight_type)
|
||||||
|
# print(f"Model loadable: {result}")
|
||||||
|
# break
|
||||||
|
downloadCTranslate2Tokenizer(root, "small")
|
||||||
|
|||||||
Reference in New Issue
Block a user