@heliqi i thing the code for random_uniform is working fine because it gives me
correct output shape. before that what type of model you have tried for this.
because i have been trying to import lstm to tensorflow frontend. So i get
random_uniform in this way.
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I tried to debug little more and found out these
* When the tvm function gets the random_unifrorm variable in graph, it will
not process the next elements in the graph. So its having a different shape as
output.
* Also, I have checked the params return value which is having like 70% of the
I tried this approch and able to run the code, but this gives rise to different
error, where my model is having output.shape of (1,4) now if the check the
model after importing random_uniform it changes my model output to shape of
(1,15.512). Not sure where its changing the graph output
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