2019-08-07 15:12:05 +00:00
---
name: Bug report
about: Create a report to help us improve
title: ''
2020-06-15 21:08:06 +00:00
labels: bug / fix, help wanted
2019-08-07 15:12:05 +00:00
assignees: ''
---
2019-12-09 01:07:24 +00:00
## 🐛 Bug
<!-- A clear and concise description of what the bug is. -->
2020-12-23 21:31:09 +00:00
## Please reproduce using the BoringModel
2020-10-12 11:42:21 +00:00
2020-10-12 11:43:20 +00:00
<!-- Please paste your BoringModel colab link here. -->
2020-10-12 11:42:21 +00:00
2019-12-09 01:07:24 +00:00
### To Reproduce
2020-12-23 21:31:09 +00:00
Use following [**BoringModel** ](https://colab.research.google.com/drive/1HvWVVTK8j2Nj52qU4Q4YCyzOm0_aLQF3?usp=sharing ) and post here
2020-10-12 11:43:20 +00:00
<!-- If you could not reproduce using the BoringModel and still think there's a bug, please post here -->
2019-12-09 01:07:24 +00:00
### Expected behavior
2019-12-07 05:23:01 +00:00
2020-10-12 11:43:20 +00:00
<!-- FILL IN -->
2019-08-07 15:12:05 +00:00
2019-12-09 01:07:24 +00:00
### Environment
2019-08-07 15:12:05 +00:00
2020-10-22 20:57:52 +00:00
**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).
2019-12-07 05:23:01 +00:00
2019-12-09 01:07:24 +00:00
You can get the script and run it with:
```
2020-03-27 12:45:52 +00:00
wget https://raw.githubusercontent.com/PyTorchLightning/pytorch-lightning/master/tests/collect_env_details.py
2020-06-02 22:47:21 +00:00
# For security purposes, please check the contents of collect_env_details.py before running it.
python collect_env_details.py
2019-12-09 01:07:24 +00:00
```
- 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:
2019-08-07 15:12:05 +00:00
2019-12-07 05:23:01 +00:00
### Additional context
2019-12-09 01:07:24 +00:00
<!-- Add any other context about the problem here. -->