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Tensorflow quantization (float32-->int8) inference test

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I found Pointnet is in todo list. Pointnet is 3d cnn, I am not sure it could be quantization very well. Have you tried about this?

Hi, you show your result of accuracy, that's impressive! But I am wondering whether it is faster than the not quantized version. As you know, the conv operation is still...

After using 'convert.py', the weights are int8, could i load it for keras model or just tensorflow model?