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Enable GitHub issue templates (#198)
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* move template from onnx

* Delete feature_request.md

* Remove converted and ask for model upload

* Add reminder in bug.md

* Update .github/ISSUE_TEMPLATE/question.md

Co-authored-by: Vinitra Swamy <vinitras@gmail.com>

* Update .github/ISSUE_TEMPLATE/bug.md

Co-authored-by: Vinitra Swamy <vinitras@gmail.com>

* Update question.md

Co-authored-by: Vinitra Swamy <vinitras@gmail.com>
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jcwchen and vinitra committed Aug 3, 2020
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39 changes: 39 additions & 0 deletions .github/ISSUE_TEMPLATE/bug.md
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---
name: Bug report
about: Create a bug report to help improve the ONNX.
title: ''
labels: 'bug'
assignees: ''

---
# Bug Report
If the model conversion is failing for a **tutorial** in this repo, report the bug here. However, if the bug is related to general model conversion, please go to the appropriate converter repo.

### Describe the bug
Please describe the bug clearly and concisely.

### System information
- OS Platform and Distribution (*e.g. Linux Ubuntu 16.04*):
- ONNX version (*e.g. 1.7*):
- Python version:
- GCC/Compiler version (if compiling from source):
- CMake version:
- Protobuf version:
- Visual Studio version (if applicable):


### Reproduction instructions
- Describe the code to reproduce the behavior.
```
import onnx
model = onnx.load('model.onnx')
...
```
- Attach the ONNX model to the issue (where applicable)

### Expected behavior
A clear and concise description of what you expected to happen.

### Notes

Any additional information
25 changes: 25 additions & 0 deletions .github/ISSUE_TEMPLATE/question.md
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---
name: Question
about: Ask a question about the ONNX.
title: ''
labels: 'question'
assignees: ''



---
# Ask a Question

### Question
Explain your question here.

### Further information
- Relevant Area (*e.g. model usage, best practices, shape_inference, version_converter, training, test*):

- Is this issue related to a specific model?
**Model name** (*e.g. mnist*):
**Model opset** (*e.g. 7*):
Please upload the model and provide the link if possible.

### Notes
Any additional information, code snippets.

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