# TorchFly

**Repository Path**: sun-haoxin/TorchFly

## Basic Information

- **Project Name**: TorchFly
- **Description**: https://github.com/qywu/TorchFly
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-04-03
- **Last Updated**: 2023-04-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<img src="docs/images/torchfly.svg" width="300" >

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## Installment

Currently, TorchFly only supports Linux. Please download [conda](https://www.anaconda.com/distribution/#download-section) and create a virtual environment first (Python >= 3.6).

```bash
# create virtual env
conda create -n torchfly python=3.7
```

[apex](https://github.com/qywu/apex) is recommended, but it may need modifications if cuda version is mismatched. You can install it via:

```bash
# make sure ``nvcc`` is installed
# modified the error due to cuda version
git clone https://github.com/qywu/apex
cd apex
pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./
```

Then install this library in developer mode:

```bash
# clone repo
git clone https://github.com/qywu/TorchFly

# install the repo
pip install -e .
```

To use the repo,

```python
import torchfly
```

## Documentation

https://qywu.github.io/TorchFly