You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2019/11/09 07:19:46 UTC
[GitHub] [incubator-tvm] u99127 opened a new pull request #4292: Retain qnn
input kernel scales
u99127 opened a new pull request #4292: Retain qnn input kernel scales
URL: https://github.com/apache/incubator-tvm/pull/4292
The QNN dialect loses the input tensor scale and the weight
tensor scale too early. This inhibits the work one could do
with integrating 3rd party codegen or libraries that have interfaces
that expect input tensor scale and weight tensor scales.
This patch stack fixes it up for conv2d and Dense. I cannot see
any other operators affected yet.
See here for more . https://discuss.tvm.ai/t/lowering-qnn-conv2d-tflite/4654/5
Ramana
@anijain2305 - Please review.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
With regards,
Apache Git Services