Linked Questions

Popular Questions

Tensorflow: Tuning rules of quantization

Asked by At

Is there a way that the following process: https://www.tensorflow.org/performance/quantization

And the call: tf.contrib.quantize.create_eval_graph()

Could be tuned in such way like the following call does?

https://www.tensorflow.org/versions/master/api_docs/python/tf/quantize

I would like to have the weights being scaled to 8bits with symmetric ranges, with exact 0 and max/min being power 2 like it's with the SCALED mode. For example I would prefer -31 to 31 instead of -10 to 30. Even when -10 to 30 would give better resolution at 8bits, but accurate 0, symmetricity and range as power of 2 is more important for DSP devices.

Related Questions