From 75c3c9e16e7ad0f9cc7c98fbf3f106abee577761 Mon Sep 17 00:00:00 2001
From: Meghna Natraj <mnatraj@google.com>
Date: Tue, 26 Jan 2021 12:54:46 -0800
Subject: [PATCH] Update TFLite converter issue template

PiperOrigin-RevId: 353929808
Change-Id: Id68c6eb9f215d72b4fe57b899e061c5d76dcd5a5
---
 .../60-tflite-converter-issue.md              | 47 ++++++++++---------
 1 file changed, 24 insertions(+), 23 deletions(-)

diff --git a/.github/ISSUE_TEMPLATE/60-tflite-converter-issue.md b/.github/ISSUE_TEMPLATE/60-tflite-converter-issue.md
index 6eab765e84e..70be5298904 100644
--- a/.github/ISSUE_TEMPLATE/60-tflite-converter-issue.md
+++ b/.github/ISSUE_TEMPLATE/60-tflite-converter-issue.md
@@ -1,46 +1,47 @@
 ---
-name: TensorFlow Lite New Converter Issue
+name: TensorFlow Lite Converter Issue
 about: Use this template for reporting issues during model conversion to TFLite
 labels: 'TFLiteConverter'
 
 ---
 
+### 1. System information
 
-**System information**
 - OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
-- TensorFlow installed from (source or binary):
-- TensorFlow version (or github SHA if from source):
+- TensorFlow installation (pip package or built from source):
+- TensorFlow library (version, if pip package or github SHA, if built from source):
 
+### 2. Code
 
-**Command used to run the converter or code if you’re using the Python API**
-If possible, please share a link to Colab/Jupyter/any notebook.
+Provide code to help us reproduce your issues using one of the following options:
+
+#### Option A: Reference colab notebooks
+
+1)  Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.
+2)  Reference [TensorFlow Lite Model Colab](https://colab.research.google.com/gist/ymodak/0dfeb28255e189c5c48d9093f296e9a8/tensorflow-lite-debugger-colab.ipynb): Demonstrate how to convert your TF model to a TF Lite model (with quantization, if used) and run TFLite Inference (if possible).
 
 ```
-# Copy and paste here the exact command
+(You can paste links or attach files by dragging & dropping them below)
+- Provide links to your updated versions of the above two colab notebooks.
+- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
 ```
 
-**The output from the converter invocation**
+#### Option B: Paste your code here or provide a link to a custom end-to-end colab
 
 ```
-# Copy and paste the output here.
+(You can paste links or attach files by dragging & dropping them below)
+- Include code to invoke the TFLite Converter Python API and the errors.
+- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
 ```
 
-**Also, please include a link to the saved model or GraphDef**
+### 3. Failure after conversion
+If the conversion is successful, but the generated model is wrong, then state what is wrong:
 
-```
-# Put link here or attach to the issue.
-```
+- Model produces wrong results and/or has lesser accuracy.
+- Model produces correct results, but it is slower than expected.
 
-**Failure details**
-If the conversion is successful, but the generated model is wrong,
-state what is wrong:
-- Producing wrong results and/or decrease in accuracy
-- Producing correct results, but the model is slower than expected (model generated from old converter)
-
-
-**RNN conversion support**
+### 4. (optional) RNN conversion support
 If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.
 
-**Any other info / logs**
-
+### 5. (optional) Any other info / logs
 Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.