Could you share the environment of yours to install?

[sdeva14]

❓ Questions & Help

Thanks for providing an amazing framework! But, unfortunately, I have suffered the issues to install. I think, it is caused from the discrepancies between packages. I saw you share the torch version and others, but still many things are too different from the last year.

Could you share the environment of conda and pip?

Details

[upskyy]

@sdeva14 hello, this is my training environment. I hope this was helpful to you.

absl-py==1.2.0
aiohttp==3.8.3
aiosignal==1.2.0
antlr4-python3-runtime==4.8
appdirs==1.4.4
astropy==5.1
asttokens==2.0.8
async-timeout==4.0.2
attrs==22.1.0
audioread==3.0.0
backcall==0.2.0
bleach==5.0.1
cachetools==5.2.0
certifi==2022.9.24
cffi==1.15.1
cfgv==3.3.1
charset-normalizer==2.1.1
click==8.1.3
commonmark==0.9.1
cryptography==38.0.3
debugpy==1.6.3
decorator==5.1.1
distlib==0.3.6
docker-pycreds==0.4.0
docutils==0.19
entrypoints==0.4
executing==1.1.1
filelock==3.8.0
frozenlist==1.3.1
fsspec==2022.8.2
future==0.18.2
gitdb==4.0.9
GitPython==3.1.28
google-auth==2.12.0
google-auth-oauthlib==0.4.6
grpcio==1.49.1
huggingface-hub==0.10.0
hydra-core==1.0.7
HyperPyYAML==1.0.0
identify==2.5.9
idna==3.4
importlib-metadata==5.0.0
importlib-resources==5.10.0
ipykernel==6.16.0
ipython==8.5.0
jaraco.classes==3.2.3
jedi==0.18.1
jeepney==0.8.0
joblib==1.2.0
jupyter-core==4.11.1
jupyter_client==7.4.2
kaggle==1.5.12
keyring==23.11.0
Levenshtein==0.20.5
librosa==0.9.2
llvmlite==0.39.1
Markdown==3.4.1
MarkupSafe==2.1.1
matplotlib-inline==0.1.6
more-itertools==9.0.0
multidict==6.0.2
nest-asyncio==1.5.6
nodeenv==1.7.0
numba==0.56.2
numpy @ file:///home/conda/feedstock_root/build_artifacts/numpy_1662888872762/work
oauthlib==3.2.1
omegaconf==2.0.6
-e git+https://github.com/openspeech-team/openspeech.git@8fafea48e5dde2136da59ae5e2dacead4e27801d#egg=openspeech_core
packaging==21.3
pandas==1.5.0
parso==0.8.3
pathtools==0.1.2
pexpect==4.8.0
pickleshare==0.7.5
Pillow @ file:///home/conda/feedstock_root/build_artifacts/pillow_1660385857893/work
pkginfo==1.8.3
platformdirs==2.5.4
pooch==1.6.0
pre-commit==2.20.0
promise==2.3
prompt-toolkit==3.0.31
protobuf==3.19.6
psutil==5.9.2
ptyprocess==0.7.0
pure-eval==0.2.2
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser==2.21
pyDeprecate==0.3.1
pyerfa==2.0.0.1
Pygments==2.13.0
pyparsing==3.0.9
python-dateutil==2.8.2
python-slugify==6.1.2
pytorch-lightning==1.4.0
pytz==2022.4
PyYAML==6.0
pyzmq==24.0.1
rapidfuzz==2.11.1
readme-renderer==37.3
regex==2022.9.13
requests==2.28.1
requests-oauthlib==1.3.1
requests-toolbelt==0.10.1
resampy==0.4.2
rfc3986==2.0.0
rich==12.6.0
rsa==4.9
ruamel.yaml==0.17.20
scikit-learn==1.1.2
scipy==1.9.2
SecretStorage==3.3.3
sentencepiece==0.1.97
sentry-sdk==1.9.10
setproctitle==1.3.2
shortuuid==1.0.9
six==1.16.0
smmap==5.0.0
soundfile==0.11.0
stack-data==0.5.1
tensorboard==2.10.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
text-unidecode==1.3
threadpoolctl==3.1.0
tokenizers==0.12.1
toml==0.10.2
torch==1.10.2
torchaudio==0.10.2
torchmetrics==0.6.0
torchvision==0.11.3
tornado==6.2
tqdm==4.64.1
traitlets==5.4.0
transformers==4.22.2
twine==4.0.1
typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1665144421445/work
urllib3==1.26.12
virtualenv==20.16.7
wandb==0.13.4
wcwidth==0.2.5
webencodings==0.5.1
Werkzeug==2.2.2
wget==3.2
yarl==1.8.1
zipp==3.9.0

[angus5552]

Hello, @upskyy
May I ask you Which python version did you use?
or could you share me the command that you used for training?
Thanks.