fidelity_controllable_compression
nncf
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| fidelity_controllable_compression | nncf | |
|---|---|---|
| 1 | 2 | |
| 26 | 777 | |
| - | 4.8% | |
| 0.0 | 9.7 | |
| over 1 year ago | 5 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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fidelity_controllable_compression
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Ok. I tried compressing an image of waldo as far as I could (using this neural network) and searching for it in PI. Couldn't find it in the first 1 billion digits in hexadecimal (I actually couldn't find much much smaller sequences as well. 1 billion is simply not enough digits). I think I'm done for the night, if someone has an idea how to get a few trillions of digits of PI in binary/hexadecimal - I'm listening. For what it's worth, here's the smallest representation of waldo's face in binary I could create (at 728 bytes, I'm sure a smaller image can be created with some effort) -
nncf
- FLaNK Stack Weekly 06 Nov 2023
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NN mixed-precision quantization framework that supports TF?
I am aware of NNCF (https://github.com/openvinotoolkit/nncf), but it doesn't support mixed precision quantization for TF. What other frameworks support that for TF? (implement HAWQ or AutoQ algorithms for example)
What are some alternatives?
pifs - πfs - the data-free filesystem!
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