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48 lines
2.1 KiB
48 lines
2.1 KiB
---
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name: TensorFlow Lite Converter Issue
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about: Use this template for reporting issues during model conversion to TFLite
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labels: 'TFLiteConverter'
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---
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### 1. System information
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- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
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- TensorFlow installation (pip package or built from source):
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- TensorFlow library (version, if pip package or github SHA, if built from source):
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### 2. Code
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Provide code to help us reproduce your issues using one of the following options:
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#### Option A: Reference colab notebooks
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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.
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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).
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```
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(You can paste links or attach files by dragging & dropping them below)
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- Provide links to your updated versions of the above two colab notebooks.
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- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
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```
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#### Option B: Paste your code here or provide a link to a custom end-to-end colab
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```
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(You can paste links or attach files by dragging & dropping them below)
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- Include code to invoke the TFLite Converter Python API and the errors.
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- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
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```
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### 3. Failure after conversion
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If the conversion is successful, but the generated model is wrong, then state what is wrong:
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- Model produces wrong results and/or has lesser accuracy.
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- Model produces correct results, but it is slower than expected.
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### 4. (optional) RNN conversion support
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If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.
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### 5. (optional) Any other info / logs
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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.
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