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๐ ๐ข๐ซ๐จ๐ข๐ช ๐ง๐ค๐ฑ๐ค ๐ข==โบโบ ๐ถ๐ ๐ณ๐ข๐ง ๐ญ๐ฎ๐ถ
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๐ ๐ข๐ซ๐จ๐ข๐ช ๐ง๐ค๐ฑ๐ค ๐ข==โบโบ ๐ถ๐ ๐ณ๐ข๐ง ๐ญ๐ฎ๐ถ
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L๐akedโฆ
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๐ ๐ข๐ซ๐จ๐ข๐ช ๐ง๐ค๐ฑ๐ค ๐ข==โบโบ ๐ถ๐ ๐ณ๐ข๐ง ๐ญ๐ฎ๐ถ
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L๐akedโฆ
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๐ ๐ข๐ซ๐จ๐ข๐ช ๐ง๐ค๐ฑ๐ค ๐ข==โบโบ ๐ถ๐ ๐ณ๐ข๐ง ๐ญ๐ฎ๐ถ
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L๐akedโฆ
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Hi,
many thanks for the pipeline development. I managed to install the pipeline and the pipeline works great with the demo data.
However, when I try with my own data the pipeline "succesfully" โฆ
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Hi, I try to use the discrete adjoint method and print the GPU memory usage during training.
memory before scheduling: 16.37 MB
Memory after scheduling: 16.38 MB
Memory after backward pass: 16.38 Mโฆ
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Example:
```python
import galois
p = 2**127 - 1
coefs = [132937, -281708, 210865, -132177, 154492, -119403, 64244, -21729, 12062, -425, 325, 525, 110, 20, 4, 1, 1]
Fp = galois.GF(p)
poly = galโฆ
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- A .txt file with the JSON containing the full request: [Request.txt](https://api.zenhub.com/attachedFiles/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBNVgvQnc9PSIsImV4cCI6bnVsbCwicHVyIjoiYmxvYl9pZCJ9fQ==--49โฆ
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Hi
I noticed that the TDP are wrongly set for the Ayaneo Geek.
First I disabled the /sys mount for steam, then if I set the TDP to 25W without boost, it's effectively 35.
If it's set to 15 it's eโฆ
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As in title, the option to set chances for Juggernaut does not exists, only the Juggernaut specific settings.