Comments (5)
Hello,
the paper mentions methods for:
- detecting the fusion rules on a device
- 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 ?
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Hello,
the paper mentions methods for:
- detecting the fusion rules on a device
- 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.
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@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?
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Hi, I'm wondering if you would share your modification code to TFLite, which implements the GPU operator-level profiling?
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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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