Conda Env Create Failed

[Mollylulu]

Hi~ when I create the conda env, I got this error 👇

Could you tell me how to fix it? seems like some channels which used to install these libs not in my conda's config?

[Jian-Xi]

Actually you can build the environment via virtualenv. I guess this is a sort of dependency problem. I also tried it previously with Conda and I got some errors but not sure it's the same error here. Using virtualenv .env_m2m -python python3 and activate the env_m2m environment by source .env_m2m/bin/activate As soon it works, installing all the packages with pip install -r requirement.txt Here is the package list that I exported from my IDE environment in requirement.txt.

` absl-py==0.8.1 asn1crypto==1.2.0 astroid==2.3.3 attrs==19.3.0 backcall==0.1.0 bleach==3.1.4 blis==0.4.1 catalogue==1.0.0 certifi==2019.9.11 cffi==1.13.2 chardet==3.0.4 cryptography==2.8 cycler==0.10.0 cymem==2.0.3 Cython==0.29.16 cytoolz==0.9.0.1 decorator==4.4.2 defusedxml==0.6.0 dill==0.2.9 en-core-web-sm==2.2.5 entrypoints==0.3 future==0.17.1 grpcio==1.25.0 h5py==2.8.0 hypothesis==2.0.0 idna==2.8 importlib-metadata==1.6.0 ipykernel==5.2.1 ipython==7.9.0 ipython-genutils==0.2.0 isort==4.3.21 jedi==0.17.0 Jinja2==2.11.2 jsonschema==3.2.0 jupyter-client==6.1.3 jupyter-core==4.6.3 kiwisolver==1.1.0 lazy-object-proxy==1.4.3 Markdown==3.1.1 MarkupSafe==1.1.1 matplotlib==2.2.3 mccabe==0.6.1 mistune==0.8.4 msgpack==0.6.2 msgpack-numpy==0.4.1 msgpack-python==0.5.4 multiprocess==0.70.9 murmurhash==0.28.0 nbconvert==5.6.1 nbformat==5.0.6 notebook==6.0.3 numpy==1.18.3 pandocfilters==1.4.2 parso==0.7.0 pathlib==1.0.1 pathos==0.2.3 pexpect==4.8.0 pickleshare==0.7.5 Pillow==6.2.1 plac==0.9.6 pox==0.2.7 ppft==1.6.6.1 preshed==3.0.2 prometheus-client==0.7.1 prompt-toolkit==2.0.10 protobuf==3.10.0 ptyprocess==0.6.0 pycocotools==2.0.0 pycparser==2.19 Pygments==2.6.1 pylint==2.4.4 pyOpenSSL==19.1.0 pyparsing==2.4.5 pyrsistent==0.16.0 PySocks==1.7.1 python-dateutil==2.8.1 pytorch-compact-bilinear-pooling==0.4.0 pytz==2019.3 pyzmq==19.0.0 regex==2017.4.5 requests==2.22.0 Send2Trash==1.5.0 six==1.13.0 spacy==2.2.4 srsly==1.0.2 tensorboard==1.14.0 termcolor==1.1.0 terminado==0.8.3 testpath==0.4.4 thinc==7.4.0 toolz==0.10.0 torch==1.5.0+cu101 torchvision==0.6.0+cu101 tornado==6.0.4 tqdm==4.45.0 traitlets==4.3.3 typed-ast==1.4.1 ujson==1.35 urllib3==1.24.2 wasabi==0.6.0 wcwidth==0.1.9 webencodings==0.5.1 Werkzeug==0.16.0 wrapt==1.10.11 zipp==1.2.0

`

Hopefully it works for you.

[Mollylulu]

It does not work for me. ERROR: No matching distribution found for en-core-web-sm==2.2.5 (from -r requirement.txt (line 20)) Then when I comment it out, there still is a issue: cwd: /tmp/pip-install-jnufkqh6/pycocotools/ Complete output (5 lines): Traceback (most recent call last): File "<string>", line 1, in <module> File "/tmp/pip-install-jnufkqh6/pycocotools/setup.py", line 2, in <module> from Cython.Build import cythonize ModuleNotFoundError: No module named 'Cython' ---------------------------------------- ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output. :cry:

[Jian-Xi]

Please remind that dependency also depends on your system. If you stay in Ubuntu and Conda, you can just remove the three failed packages including openssl, openmp, mlt. I tested it with Conda in Ubuntu 18.04 using the environment.yml and succeeded: `Successfully installed absl-py-0.8.1 cycler-0.10.0 cytoolz-0.9.0.1 dill-0.3.1.1 future-0.17.1 grpcio-1.25.0 h5py-2.8.0 kiwisolver-1.1.0 markdown-3.1.1 matplotlib-2.2.3 msgpack-0.6.2 multiprocess-0.70.9 numpy-1.16.4 pathlib-1.0.1 pathos-0.2.3 pillow-6.2.1 pox-0.2.7 ppft-1.6.6.1 protobuf-3.10.0 pycocotools-2.0.0 pyparsing-2.4.5 python-dateutil-2.8.1 pytz-2019.3 regex-2017.4.5 tensorboard-1.14.0 torch-1.1.0 torchvision-0.3.0 tqdm-4.32.2 ujson-1.35 werkzeug-0.16.0'

To activate this environment, use '$ conda activate m2release'

'To deactivate an active environment, use'

' $ conda deactivate'

The error you got "en-core-web-sm" comes from spacy possibly. Again, the packages are environments dependent. If the specific version doesn't work anymore, maybe just comment out the version specification and try to get it works. :D

[Mollylulu]

Thanks 👌 @Jian-Xi for your kind reply. After removing these three, it's okay. Would these lack three affect further running?

[SandroJijavadze]

This is what I made for environment. Have not tried running training yet, though but environment creation goes successful.

RUN apt-get update && apt-get install -y gcc libx11-dev

ADD ./* /tmp/
ADD https://repo.anaconda.com/archive/Anaconda3-2020.02-Linux-x86_64.sh /tmp
#ADD Anaconda3-2020.02-Linux-x86_64.sh /tmp
RUN cd /tmp && sha256sum --check sha256sum.txt && bash Anaconda3-2020.02-Linux-x86_64.sh -b  && \
    /root/anaconda3/bin/conda env create -f environment.yml && /root/anaconda3/bin/conda init bash

ENV PATH /root/anaconda3/bin:$PATH
CMD ["source", "activate", "m2release"]

Inside project directory ├── build │ ├── sha256sum.txt │ ├── environment.yml │ └── Dockerfile

sha256sum.txt file content (verify yourself): 2b9f088b2022edb474915d9f69a803d6449d5fdb4c303041f60ac4aefcc208bb Anaconda3-2020.02-Linux-x86_64.sh