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---
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## FAQ
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**How do I use Lightning for rapid research?**
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**How do I use Lightning for rapid research?**
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[Here's a walk-through](https://pytorch-lightning.readthedocs.io/en/latest/introduction_guide.html)
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**Why was Lightning created?**
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**Why was Lightning created?**
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Lightning has 3 goals in mind:
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1. Maximal flexibility while abstracting out the common boilerplate across research projects.
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2. Reproducibility. If all projects use the LightningModule template, it will be much much easier to understand what's going on and where to look! It will also mean every implementation follows a standard format.
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3. Democratizing PyTorch power user features. Distributed training? 16-bit? know you need them but don't want to take the time to implement? All good... these come built into Lightning.
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**How does Lightning compare with Ignite and fast.ai?**
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**How does Lightning compare with Ignite and fast.ai?**
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[Here's a thorough comparison](https://medium.com/@_willfalcon/pytorch-lightning-vs-pytorch-ignite-vs-fast-ai-61dc7480ad8a).
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**Is this another library I have to learn?**
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**Is this another library I have to learn?**
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Nope! We use pure Pytorch everywhere and don't add unnecessary abstractions!
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**Are there plans to support Python 2?**
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**Are there plans to support Python 2?**
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Nope.
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**Are there plans to support virtualenv?**
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Nope. Please use anaconda or miniconda.
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**Are there plans to support virtualenv?**
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Nope. Please use anaconda or miniconda.
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```bash
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conda activate my_env
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pip install pytorch-lightning
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```
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**Which PyTorch versions do you support?**
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**Which PyTorch versions do you support?**
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- **PyTorch 1.1.0**
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```bash
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# install pytorch 1.1.0 using the official instructions
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# install latest Lightning version without upgrading deps
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pip install -U --no-deps pytorch-lightning
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```
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- **PyTorch 1.2.0, 1.3.0,**
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Install via pip as normal
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- **PyTorch 1.1.0+**
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```python
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pip install pytorch-lightning
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```
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## Custom installation
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