25 lines
1.1 KiB
Markdown
25 lines
1.1 KiB
Markdown
# Installation
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Since we are using PyTorch for hw2, we recommend using conda to manage the environment. Please refer to the [miniconda](https://docs.conda.io/en/latest/miniconda.html) homepage for a compact conda installation.
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You have two options for creating the environment of hw2
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* For mac users or a cpu-only installation, please remove the `pytorch-cuda` term in either ways.
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* To create a new conda environment, simply run `conda env create -f environment.yml`
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* If you want to install the package within the environment you created with hw1, please following the below steps:
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```bash
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conda activate <hw1-env-name>
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# we are using PyTorch 2.0!
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# remove the pytorch-cuda=11.7 term if you are a mac user to want a cpu-only installation
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conda install pytorch==2.0.0 pytorch-cuda=11.7 -c pytorch -c nvidia
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pip install gymnasium[classic_control]==0.27.1
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pip install matplotlib==3.7.1
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# for hyperparameter management
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pip install hydra-core==1.3.2
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# for video recording
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pip install moviepy==1.0.3
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```
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That's it! If you encounter any trouble creating the environment, please let us know :-)
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