Roadmap about nn-meter HOT 5 CLOSED

Hello,

the paper mentions methods for:

1. detecting the fusion rules on a device
2. adaptive sampling for creating the latency dataset

Will these be added to the repository ?
If they will be added: Do you have a rough time frame for when they will be available ?

from nn-meter.

Hello,

the paper mentions methods for:

1. detecting the fusion rules on a device
2. adaptive sampling for creating the latency dataset

Will these be added to the repository ?
If they will be added: Do you have a rough time frame for when they will be available ?

@gmimsgt, Hi, we plan to add the fusion rule detection and adaptive sampling algorithms. We will start after version 1.0-beta finishes.

from nn-meter.

@Lynazhang Thanks for the quick answer.

I appreciate the effort put into polishing the code base as it allowed me to get started quickly.
Especially the fusion rule detection and adaptive sampling are very interesting as I am currently trying to predict/benchmark a new device. The paper has been very helpful in this regard and I would love to try out the implementation.

If it is not an inconvenience is it possible to get the current state of the code?

from nn-meter.

Hi, I'm wondering if you would share your modification code to TFLite, which implements the GPU operator-level profiling?

from nn-meter.

Hi, I'm wondering if you would share your modification code to TFLite, which implements the GPU operator-level profiling?

Hi, @liuyibox, we will soon share a patch about the GPU operator-level profiling.

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