Rollback deleted tflite template which were deleted as part of this cl/442612767

PiperOrigin-RevId: 455023036

.github/ISSUE_TEMPLATE/tflite-converter-issue.md

@@ -0,0 +1,47 @@
+---
+name: TensorFlow Lite Converter Issue
+about: Use this template for reporting issues during model conversion to TFLite
+labels: 'TFLiteConverter'
+
+---
+
+### 1. System information
+
+- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
+- TensorFlow installation (pip package or built from source):
+- TensorFlow library (version, if pip package or github SHA, if built from source):
+
+### 2. Code
+
+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).
+
+```
+(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.
+```
+
+#### Option B: Paste your code here or provide a link to a custom end-to-end colab
+
+```
+(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.
+```
+
+### 3. Failure after conversion
+If the conversion is successful, but the generated model is wrong, then state what is wrong:
+
+- Model produces wrong results and/or has lesser accuracy.
+- Model produces correct results, but it is slower than expected.
+
+### 4. (optional) RNN conversion support
+If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.
+
+### 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.

.github/ISSUE_TEMPLATE/tflite-in-play-services.md

@@ -0,0 +1,23 @@
+---
+name: TensorFlow Lite in Play Services issue
+about: Use this template for issues with TensorFlow Lite in Google Play Services
+labels: 'comp:lite-in-play-services'
+
+---
+
+**System information**
+- Android Device information (use `adb shell getprop ro.build.fingerprint`
+  if possible):
+- TensorFlow Lite in Play Services SDK version (found in `build.gradle`):
+- Google Play Services version
+  (`Settings` > `Apps` > `Google Play Services` > `App details`):
+
+**Standalone code to reproduce the issue**
+Provide a reproducible test case that is the bare minimum necessary to generate
+the problem. If possible, please share a link to or attach code demonstrating
+the problem.
+
+**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.

.github/ISSUE_TEMPLATE/tflite-op-request.md

@@ -0,0 +1,30 @@
+---
+name: TensorFlow Lite Op Request
+about: Use this template for reporting Lite ops you are using or missing
+labels: 'comp:lite'
+
+---
+
+**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):
+
+
+**Provide the text output from tflite_convert**
+
+```
+# Copy and paste here
+```
+
+**Standalone code to reproduce the issue** 
+Provide a reproducible test case that is the bare minimum necessary to generate
+the problem. If possible, please share a link to Colab/Jupyter/any notebook.
+
+Also, please include a link to a GraphDef or the model if possible.
+
+**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.