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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2020/04/23 15:21:26 UTC

[GitHub] [incubator-tvm] inadob commented on issue #5394: [TFLITE]Quantize & Dequantize op

inadob commented on issue #5394:
URL: https://github.com/apache/incubator-tvm/pull/5394#issuecomment-618459856


   @siju-samuel 
   
   - Have you tried to recreate the TFL operations using tf.quantization.quantize() https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/quantization/quantize. 
   - Another way to produce quantize/dequantize in the graph is to use `converter.optimizations = [tf.lite.Optimize.DEFAULT]`. To avoid messing up with the method we already use to test quantized ops, I suggest creating a really simple fp32 TF graph, convert it to TFL as above and then use only that chunk containing "quantize" for testing. 


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