-
Notifications
You must be signed in to change notification settings - Fork 12
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
您好,当我运行adaptive-knn-mt中的build_datasotre.sh时,报No moudle named'knnbox' #29
Comments
请确认,在knnbox的根目录 pip install --editable ./ 了吗:) |
看起来似乎是网络问题,下载knnbox的依赖失败了。挂个🪜试试 |
好的,非常感谢🙇 |
看截图你这本地用的是清华源,清华源就不用挂🪜了。 |
AttributeError: module 'faiss' has no attribute 'read_index' 你可以提供一下报这个错误的代码的具体位置吗。我ctrl-f全局搜索了knn-box的源码并没有发现faiss.read_index的代码。 此外,我检查了一下我这边能正常运行的环境,我的faiss的版本是1.7.3 这是我的pip list的输出,可以参考: (knn-box) ➜ knn-box git:(master) ✗ pip list
Package Version Editable project location
----------------------------- ------------------ -----------------------------
absl-py 1.4.0
aiohttp 3.8.6
aiosignal 1.3.1
alabaster 0.7.13
altair 5.0.1
AMP 1.1.4
antlr4-python3-runtime 4.9.3
anykeystore 0.2
apex 0.9.10.dev0
appdirs 1.4.4
asgiref 3.7.2
async-timeout 4.0.3
asynctest 0.13.0
attrs 23.1.0
Babel 2.12.1
backcall 0.2.0
backports.zoneinfo 0.2.1
beautifulsoup4 4.12.2
bert-score 0.3.13
blinker 1.6.2
cachetools 5.3.1
caldav 0.1.4
cattrs 23.1.2
certifi 2023.7.22
cffi 1.15.1
charset-normalizer 3.2.0
click 8.1.6
colorama 0.4.6
coverage 7.2.7
cryptacular 1.6.2
cycler 0.11.0
Cython 3.0.0
dataclasses 0.6
decorator 5.1.1
defusedxml 0.7.1
Django 3.2.20
docutils 0.19
editdistance 0.6.2
elastic-transport 8.4.0
elasticsearch 8.8.2
esbonio 0.16.1
exceptiongroup 1.1.2
fairseq 0.10.1 /home/hfcloud/Program/knn-box
faiss 1.7.3
fastBPE 0.1.0
filelock 3.12.2
fonttools 4.38.0
frozenlist 1.3.3
fsspec 2023.1.0
fvcore 0.1.5.post20221221
gdown 4.7.1
gitdb 4.0.10
GitPython 3.1.32
google-api-core 2.11.1
google-auth 2.22.0
google-auth-oauthlib 0.4.6
google-cloud-core 2.3.3
google-cloud-translate 3.11.2
googleapis-common-protos 1.59.1
greenlet 2.0.2
grpcio 1.56.2
grpcio-status 1.56.2
huggingface-hub 0.16.4
hupper 1.12
hydra-core 1.3.2
idna 3.4
imagesize 1.4.1
importlib-metadata 6.7.0
importlib-resources 5.12.0
indicnlp 0.0.1
iopath 0.1.10
ipython 7.34.0
jedi 0.18.2
jieba 0.42.1
Jinja2 3.1.2
joblib 1.3.1
jsonargparse 3.13.1
jsonschema 4.17.3
kiwisolver 1.4.4
langid 1.1.6
laserembeddings 1.1.2
lazy-property 0.0.1
lsprotocol 2023.0.0a2
lxml 4.9.3
Markdown 3.4.4
markdown-it-py 2.2.0
MarkupSafe 2.1.3
matplotlib 3.5.3
matplotlib-inline 0.1.6
mdurl 0.1.2
mkl-fft 1.3.1
mkl-random 1.2.2
mkl-service 2.4.0
mock 5.1.0
more-itertools 10.0.0
multidict 6.0.4
nltk 3.8.1
nose 1.3.7
numpy 1.21.5
oauthlib 3.2.2
omegaconf 2.3.0
packaging 23.1
pandas 1.1.5
parso 0.8.3
PasteDeploy 3.0.1
pbkdf2 1.3
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.5.0
pip 22.3.1
pkgutil_resolve_name 1.3.10
plaster 1.1.2
plaster-pastedeploy 1.0.1
portalocker 2.0.0
prompt-toolkit 3.0.39
proto-plus 1.22.3
protobuf 3.20.1
ptyprocess 0.7.0
py-rouge 1.1
pyarrow 12.0.1
pyasn1 0.5.0
pyasn1-modules 0.3.0
pycparser 2.21
pydeck 0.8.1b0
pyDeprecate 0.3.2
pygls 1.0.2
Pygments 2.15.1
Pympler 1.0.1
pyparsing 3.1.0
pyramid 2.0.1
pyramid-mailer 0.15.1
pyrsistent 0.19.3
PySocks 1.7.1
pyspellchecker 0.7.2
pythainlp 4.0.2
python-dateutil 2.8.2
python3-openid 3.2.0
pytorch-lightning 1.6.4
pytz 2023.3
PyYAML 6.0.1
regex 2023.6.3
repoze.sendmail 4.4.1
requests 2.31.0
requests-oauthlib 1.3.1
rich 13.4.2
rsa 4.9
sacrebleu 2.3.1
sacremoses 0.0.35
safetensors 0.3.1
scikit-learn 1.0.2
scipy 1.7.3
seaborn 0.12.1
semver 3.0.1
sentencepiece 0.1.99
setuptools 65.6.3
six 1.16.0
smmap 5.0.0
snowballstemmer 2.2.0
soundfile 0.12.1
soupsieve 2.4.1
Sphinx 5.3.0
sphinxcontrib-applehelp 1.0.2
sphinxcontrib-devhelp 1.0.2
sphinxcontrib-htmlhelp 2.0.0
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.3
sphinxcontrib-serializinghtml 1.1.5
SQLAlchemy 2.0.19
sqlparse 0.4.4
streamlit 1.13.0
subword-nmt 0.3.8
tabulate 0.9.0
tensorboard 2.11.2
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorboardX 2.6.1
termcolor 2.3.0
threadpoolctl 3.1.0
tokenizers 0.13.3
toml 0.10.2
toolz 0.12.0
torch 1.10.0
torch-tb-profiler 0.4.1
torchmetrics 0.8.2
tornado 6.2
tqdm 4.65.0
traitlets 5.9.0
transaction 3.1.0
transformers 4.30.2
translationstring 1.4
transliterate 1.10.2
typeguard 3.0.2
typing_extensions 4.7.1
tzlocal 5.0.1
unbabel-comet 1.1.2
urllib3 1.26.16
validators 0.20.0
velruse 1.1.1
venusian 3.0.0
vizseq 0.1.15
vobject 0.9.6.1
watchdog 3.0.0
wcwidth 0.2.6
WebOb 1.8.7
Werkzeug 2.1.2
wheel 0.38.4
WTForms 3.0.1
wtforms-recaptcha 0.3.2
yacs 0.1.8
yarl 1.9.2
zipp 3.15.0
zope.deprecation 5.0
zope.interface 6.0
zope.sqlalchemy 3.0 |
太感谢了,终于好了! |
实在不好意思,再来打扰一下。 还有一个问题关系adaptive-knn-mt,目前已经有一个训练好的模型了,我从这个模型里面得到了datastore,我需要动态的选择k。但是我之前的模型没有这个metaK网络层,所以我还是要重新的训练模型。在训练的时候要加上datastore里面的信息,这样子关于knn的lamuta不会变得很大吗?因为knn检索出来得就是很准确得了。 |
我什么也没改啊
The text was updated successfully, but these errors were encountered: