Hi All,
I was experimenting to decompose a relay expression (operator or a function)
into the same kind of operator. Mainly, if I have to do vector addition, I just
want to replicate the number of additions but each addition operates on part of
the data.
For example, to add two vectors of s
Here is an example of Zhi's response. The expression `data_entry_[eid]->data`
accesses the values of the tesnor.
https://github.com/apache/incubator-tvm/blob/master/src/runtime/contrib/dnnl/dnnl_json_runtime.cc#L71
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The inputs are passed through NDArray in the DNNL example. You can use
nd_array->data to get the data pointer.
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Hi
Can anyone can give some pointers on how to use output(s) of relay.build(...)
from within a C++?
There is an example to use output of tvm.build(), but I can't still figure it
out.
Cheers.
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You are r
Hi,
I am working on a BYOC backend and finally reached the runtime level.
But I've looked at the DNNL JSON example (I am using JSON as well) and have not
found
a way to access the real tensor values to serialize them for my target.
>From the JSON serialization I can access the shapes, etc, but n
Try changing the opt_level to 2 instead of 3
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