lightning/.github/ISSUE_TEMPLATE/bug_report.md

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---
name: Bug report
about: Create a report to help us improve
title: ''
labels: bug / fix, help wanted
assignees: ''
---
## 🐛 Bug
<!-- A clear and concise description of what the bug is. -->
## Please reproduce using the BoringModel
<!-- Please paste your BoringModel colab link here. -->
### To Reproduce
Use following [**BoringModel**](https://colab.research.google.com/drive/1HvWVVTK8j2Nj52qU4Q4YCyzOm0_aLQF3?usp=sharing) and post here
<!-- If you could not reproduce using the BoringModel and still think there's a bug, please post here -->
### Expected behavior
<!-- FILL IN -->
### Environment
**Note**: `Bugs with code` are solved faster ! `Colab Notebook` should be made `public` !
* `IDE`: Please, use our python [bug_report_model.py](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/pl_examples/bug_report_model.py
) template.
* `Colab Notebook`: Please copy and paste the output from our [environment collection script](https://raw.githubusercontent.com/PyTorchLightning/pytorch-lightning/master/tests/collect_env_details.py) (or fill out the checklist below manually).
You can get the script and run it with:
```
wget https://raw.githubusercontent.com/PyTorchLightning/pytorch-lightning/master/tests/collect_env_details.py
# For security purposes, please check the contents of collect_env_details.py before running it.
python collect_env_details.py
```
- PyTorch Version (e.g., 1.0):
- OS (e.g., Linux):
- How you installed PyTorch (`conda`, `pip`, source):
- Build command you used (if compiling from source):
- Python version:
- CUDA/cuDNN version:
- GPU models and configuration:
- Any other relevant information:
### Additional context
<!-- Add any other context about the problem here. -->