https://github.com/vermouth1992/hipc21

https://github.com/vermouth1992/hipc21

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/vermouth1992/hipc21
• Owner: vermouth1992
• License: apache-2.0
• Created: 2021-06-29T23:53:22.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2021-10-30T23:20:52.000Z (about 3 years ago)
• Last Synced: 2023-03-03T03:41:42.794Z (almost 2 years ago)
• Language: C++
• Size: 1.69 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# High Performance Parallel Reinforcement Learning Implementation in C++

## Dependencies

We manage all the dependencies using Anaconda for the most simplicity

- nlohmann_json

- spdlog

- fmt

- curl

- pybind11

- flask

```bash

conda install nlohmann_json spdlog fmt curl pybind11 flask -c conda-forge

```

- Install Pytorch from [here](https://pytorch.org/get-started/locally/)

If your Pytorch is installed with GPU support, you also need to install the following packages

- cudatoolkit-dev

- CuDNN

```bash

conda install cudnn cudatoolkit-dev==${CUDA_VERSION} -c conda-forge

```

- gym-remote

```bash

cd envs

pip install -e . 

```

Make sure the CUDA_VERSION matches the one you installed your Pytorch

## Build

Before building, make sure your Python is pointing to the Anaconda environment using

```bash

which python

```

Then, execute

```bash

mkdir build;

cd build;

cmake ..

make -j 8

```

To compile with FPGA support, use

```bash

cmake .. -DFPGA=ON

```

## Running