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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
``` ### 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.
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RELEASE.md
`tf.image.decode_jpeg` by default uses the faster DCT method, sacrificing a little fidelity for improved speed. One can revert to the old behavior by specifying the attribute `dct_method='INTEGER_ACCURATE'`. * `tf.complex_abs` has been removed from the Python interface. `tf.abs` supports complex tensors and should be used instead. * In the C++ API (in tensorflow/cc), Input, Output, etc.
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