Improve several issue templates

.github/ISSUE_TEMPLATE/bug-performance-issue.md

@@ -1,32 +1,38 @@
 ---
 name: Bug/Performance issue
 about: Use this template for reporting a bug or a performance issue.
-
+title: ''
+labels: 'bug'
+assignees: ''
 ---
 
+<!--
 **Dubugging advice**
-[delete this section if it doesn't solve your issue]
 - Add a `--opset` flag with the highest possible opset you can use. Some ops only convert in higher opsets.
 - Try installing the latest tf2onnx from main. Some bug fixes might not have been released to PyPI. Run `pip uninstall tf2onnx` and `pip install git+https://github.com/onnx/tensorflow-onnx`
 - If using a saved model, use the Tensorflow `saved_model_cli` to determine the correct `--tag` and `--signature_def` flags to use. If the signature you need is not listed, use the `--concrete_function` flag to index into the model's defined functions.
-- If your model was made in tf1.x, try running tf2onnx in a venv with tensorflow 1.x installed. tf2.x should be able to read tf1 models, but sometimes there are bugs.
+- If your model was made in tf1.x, try running tf2onnx in a venv with tensorflow 1.x installed. tf2.x should be able to read tf1.x models, but sometimes there are bugs.
+ -->
 
 **Describe the bug**
-A clear and concise description of what the bug is.
+<!-- Please describe a clear and concise description of what the bug is. -->
 
 **Urgency**
-If there are particular important use cases blocked by this or strict project-related timelines, please share more information and dates. If there are no hard deadlines, please specify none.
+<!-- If there are particular important use cases blocked by this or strict project-related timelines, please share more information and dates. If there are no hard deadlines, please specify none. -->
 
 **System information**
-- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
-- Tensorflow Version:
+- OS Platform and Distribution (e.g., Linux Ubuntu 18.04*):
+- TensorFlow Version:
 - Python version:
+- ONNX version (if applicable, e.g. 1.11*):
+- ONNXRuntime version (if applicable, e.g. 1.11*):
+
 
 **To Reproduce**
-Describe steps/code to reproduce the behavior. Please upload/link the model you are trying to convert if possible.
+<!-- Describe steps/code/command to reproduce the behavior. Please upload/link the model you are trying to convert if possible. -->
 
 **Screenshots**
-If applicable, add screenshots to help explain your problem.
+<!-- If applicable, add screenshots to help explain your problem. -->
 
 **Additional context**
-Add any other context about the problem here. If the issue is about a particular model, please share the model details as well to facilitate debugging.
+<!-- Add any other context about the problem here. If the issue is about a particular model, please share the model details as well to facilitate debugging. -->

.github/ISSUE_TEMPLATE/feature_request.md

@@ -0,0 +1,15 @@
+---
+name: Feature request
+about: Requests for new tf2onnx features
+title: ''
+labels: 'enhancement'
+assignees: ''
+
+---
+
+Before submitting your request, please review past submissions to ensure that it is not a duplicate of a known feature request.
+
+### Describe the feature request
+
+
+### Describe scenario use case

.github/ISSUE_TEMPLATE/operators.md

@@ -0,0 +1,24 @@
+---
+name: Missing Operator
+about: Operator that does not currently support in tf2onnx.
+title: ''
+labels: 'unsupported ops'
+assignees: ''
+
+
+
+---
+# New Operator
+
+### Describe the operator
+<!-- Why is this operator necessary? What does it accomplish? -->
+
+### Do you know this operator be constructed using existing ONNX operators?
+<!-- If so, why not add it as a function? -->
+
+### Is this operator used by any model currently? Which one?
+
+### Are you willing to contribute it? (Y/N)
+
+### Notes
+<!-- Any additional information -->

.github/ISSUE_TEMPLATE/question.md

@@ -0,0 +1,23 @@
+---
+name: Question
+about: Ask a question about the tf2onnx.
+title: ''
+labels: 'question'
+assignees: ''
+
+
+
+---
+# Ask a Question
+
+### Question
+<!-- Explain your question here. -->
+
+### Further information
+- Is this issue related to a specific model?  
+**Model name**: <!-- *e.g. mnist* -->
+
+**Model opset**: <!-- *e.g. 17* -->
+
+### Notes
+<!-- Any additional information, code snippets. -->