This helps a ton!
Thank you so much!
It is always nice to find good, timely support
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See for example how we integrate cublas:
https://github.com/apache/tvm/blob/main/src/runtime/contrib/cublas/cublas.cc#L333
https://github.com/apache/tvm/blob/813136401a11a49d6c15e6013c34dd822a5c4ff6/python/tvm/contrib/cublas.py#L44-L52
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I did not go through this link, thank you @masahi!
However, it seems to be more complex than what we need.
We will only be adding a single cpp file which performs optimized depthwise
convolution.
I see a comment by @comaniac which suggests an easier way. Is it possible to
get a link to learn
Hi everybody,
I used tvm debugger based on the description came
[here](https://tvm.apache.org/docs/dev/debugger.html#how-to-use-debugger).
The following line gives me 3 files: output_tensors.params,
executaion_trace.json, and graph_dump.json.
I get different output_tensors.params file for ev
