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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2019/11/15 09:00:58 UTC

[GitHub] [incubator-tvm] FrozenGene commented on a change in pull request #4339: Added tflite frontend support for quantized mean

FrozenGene commented on a change in pull request #4339: Added tflite frontend support for quantized mean
URL: https://github.com/apache/incubator-tvm/pull/4339#discussion_r346719008
 
 

 ##########
 File path: python/tvm/relay/frontend/tflite.py
 ##########
 @@ -659,7 +659,23 @@ def _convert_reduce(self, relay_op, op):
         reduce_options.Init(op_options.Bytes, op_options.Pos)
         keep_dims = reduce_options.KeepDims()
 
+        if input_tensor.qnn_params:
+            in_expr = _qnn.op.dequantize(data=in_expr,
 
 Review comment:
   Hmm...do we have to dequantize -> compute fp32 -> requantize? could we do only integer computation? 

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