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Update TFLite converter issue template

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Meghna Natraj 2021-01-26 12:54:46 -08:00 committed by TensorFlower Gardener
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---
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.