[TFLite] Support quantised SQUARED_DIFFERENCE operator #11249
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Add support and test to the SQUARED_DIFFERENCE operator in the TFLite frontend. Co-Authored-By: Shai Maor <[email protected]>
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| "TFlite quantized squared difference operator is not supported yet." | ||
| ) | ||
| difference = self._convert_elemwise(_op.subtract, op) | ||
| difference = self._convert_elemwise(_op.subtract, op, dequantize=True) |
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Shouldn't there be a check like the following?
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| difference = self._convert_elemwise(_op.subtract, op, dequantize=True) | |
| difference = self._convert_elemwise(_op.subtract, op, dequantize=self.is_quantized(op)) |
| # convert to tflite model | ||
| converter = tf.lite.TFLiteConverter.from_session(sess, input_tensors, output_tensors) | ||
| converter.experimental_new_converter = experimental_new_converter | ||
| converter.experimental_new_quantizer = experimental_new_quantizer |
| input_range=None, | ||
| mode="graph_executor", | ||
| experimental_new_converter=False, | ||
| experimental_new_quantizer=False, |
| quantized=True, | ||
| input_range=input_range, | ||
| experimental_new_converter=same_qnn_params, | ||
| experimental_new_quantizer=experimental_new_quantizer, |
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I think the previous line should be removed.
areusch
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Closing in favour of #14667 |
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Add support and test to the SQUARED_DIFFERENCE operator in the TFLite frontend.
Co-Authored-By: Shai Maor [email protected]
cc @ekalda @NicolaLancellotti @Mousius @manupa-arm @areusch