Creating conda environment using yml file

Technical Topics Package Builds
1

@MARTIN_DURANT Hello! I have been strugling create new conda environment for my project for two weeks

Now my problem is that I need to install previous versions of some packages using latest packages I can build the environment but using past packages the environment creation from yesterday still spin on solving environment:
and until now no progress or error
I can not understand why that long

This is thw yml file

name: null

channels:
  - pytorch
  - conda-forge
  - defaults

dependencies:
  - bokeh
  - captum
  - ccache
  - cmake
  - cudnn=8.2
  - cudatoolkit=11.3
  - cudatoolkit-dev=11.3
  - cupy
  - gxx_linux-64=9.4
  - dask
  - dask-ml
  - dask-labextension
  - datashader
  - datasets
  - featuretools
  - gh
  - git
  - h5py
  - hvplot
  - imbalanced-learn
  - jupyterlab
  - jupyterlab-git
  - jupyterlab-lsp
  - jupyterlab-nvdashboard
  - lightgbm
  - matplotlib
  - mpi4py # installs cuda-aware openmpi
  - nccl
  - numba
  - openmpi
  - optuna
  - pandas
  - panel
  - einops
  - sacrebleu
  - prettytable
  - pip
  - pip:
    - -r requirements.txt
  - pyarrow
  - python=3.8
  - tokenizers=0.10.3
  - sentencepiece
  - python-language-server
  - pytorch=1.9.0
  - torchaudio=0.9.0
  - torchvision=0.10.0
  - tqdm=4.49.0
  - transformers=4.8.2
  - pyviz_comms
  - scikit-learn
  - scipy
  - shap
  - tensorboard
  - torchtext
  - umap-learn
  - wandb
  - xarray
  - xeus-python
  - xgboost

and this is the requirements.txt file:

pandas_bokeh
horovod[pytorch]
ray

# make sure horovod is re-compiled if environment is re-built
--no-binary=horovod

Any explanation why the environment can not be build?

2

Sorry, I am not able to add more information beyond what was written in the linked issue.

3

The issue now with conda building it just stop at solving environment and no progress is that normal?

4

I suppose it’s not normal, but I am really not an expert on this

5 
name: null

channels:
  - pytorch
  - conda-forge
  - defaults

dependencies:
  - bokeh
  - captum
  - ccache
  - cmake
  - cudnn=8.2
  - cudatoolkit=11.3
  - cudatoolkit-dev=11.3
  - cupy
  - gxx_linux-64=9.4
  - dask
  - dask-ml
  - dask-labextension
  - datashader
  - datasets
  - featuretools
  - gh
  - git
  - h5py
  - hvplot
  - imbalanced-learn
  - jupyterlab
  - jupyterlab-git
  - jupyterlab-lsp
  - jupyterlab-nvdashboard
  - lightgbm
  - matplotlib
  - mpi4py # installs cuda-aware openmpi
  - nccl
  - numba
  - openmpi
  - optuna
  - pandas
  - panel
  - einops
  - sacrebleu
  - prettytable
  - pip
  - pip:
    - -r requirements.txt
  - pyarrow
  - python=3.8
  - tokenizers=0.10.3
  - sentencepiece
  - python-language-server
  - pytorch=1.9.0
  - torchaudio=0.9.0
  - torchvision=0.10.0
  - tqdm=4.49.0
  - transformers=4.8.2
  - pyviz_comms
  - scikit-learn
  - scipy
  - shap
  - tensorboard
  - torchtext
  - umap-learn
  - wandb
  - xarray
  - xeus-python
  - xgboost
1 Like