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universome / stylegan-v

[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
https://universome.github.io/stylegan-v
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How to avoid setting up the environment from environment.yaml #12

Closed skymanaditya1 closed 2 years ago

skymanaditya1 commented 2 years ago

Hi, I am trying to setup stylegan-v on a slurm server. However, I am a little constrained by the space where I can install the environment related packages. I see that to reduce the effort of setting up the packages themselves, you provide these nice commands --

conda env create -f environment.yaml -p env conda activate ./env

However, I already have all the pip packages setup in a different environment which I activate when running other repos. I have a custom dataset setup in the format specified in this repository, and the corresponding yaml files modified/created.

When I try the running the training code -- python src/infra/launch.py hydra.run.dir=. exp_suffix=my_experiment_name env=local dataset=custom_dataset dataset.resolution=256 num_gpus=4

I get the following error --

<=== TRAINING COMMAND END ===> There are uncommited changes. Continue? [y/N]: y Creating a symlink to /ssd_scratch/cvit/aditya1/baselines/stylegan-v/data, so try not to delete it occasionally! Created a project dir: /ssd_scratch/cvit/aditya1/baselines/stylegan-v/experiments/how2sign_faces_stylegan-v_random3_max32_how2sign_faces_exp-aaf99e5 Saved training command in /ssd_scratch/cvit/aditya1/baselines/stylegan-v/experiments/how2sign_faces_stylegan-v_random3_max32_how2sign_faces_exp-aaf99e5/training_cmd.sh Saved config in /ssd_scratch/cvit/aditya1/baselines/stylegan-v/experiments/how2sign_faces_stylegan-v_random3_max32_how2sign_faces_exp-aaf99e5/experiment_config.yaml sh: 1: /ssd_scratch/cvit/aditya1/baselines/stylegan-v/env/bin/python: not found

This is because I think somehow you are trying to activate the environment "env" which would have been setup if the exact steps as outlined in your repo were followed. How do I run given that I already have a conda environment setup with all the necessary packages installed.

I am however get stylegan_v to train if I follow the steps that sets up the "env" environment.

universome commented 2 years ago

Hi! You are using configs/env/local.yaml environment config. By default, it assumes that your python bin is located in

You should change that line to point to the path with your common environment bin.

skymanaditya1 commented 2 years ago

Thanks a lot! Closing the issue.