If I understand your question, you want the two adds to fuse into one add.
To do this, I would try using the FuseOps pass after FoldConstant and
FoldScaleAxis.
(Without seeing more of the program, I can't tell what your two adds are adding
-- can you post an excerpt of the relay program here a
Hi, I am using TVM to load an MXNet model and saw there is two consecutive
`add` that do not get constant folded. Below are three screenshots showing
**(1) the Original MXNet model** **(2) the model without `FoldConstant` and
`FoldScaleAxis`** **(3) with the relay transforms as below, which ha
Hello,
I've been running the VTA tutorials, specifically the "Deploy Pretrained Vision
Model from MxNet on VTA" tutorial, on my PYNQ board. Where should I look for to
find the netlist and generated RTL files? Would this be somewhere in the tvm
directory or on the PYNQ board after runtime?
O
Yes, really appreciate your help!
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Yes, it does. The legalize pass can do this.
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Hi @anijain2305 thanks for the reply. I should've made myself clear. What I
meant was if the model(weight and bias) was quantized to uint8, does TVM has a
way to convert the uint8 weight and bias to int8 weight and bias?
I will certainly try what you suggested, thank you.
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I remember seeing this PR, which is not merged yet, mentioning torch 1.6. Maybe
@masahi can comment here.
https://github.com/apache/incubator-tvm/pull/6602
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Can i use torch==1.6.0 and torchvision== 0.7 ? becasue i trained my model using
these versions...
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