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Hi everyone,
I'm working on a project and using a YOLOv3 model. I was trying to find ways to optimize it and saw that it was possible to optimize YOLO anchors https://mmdetection.readthedocs.io/en…
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Executive summary:
The model is implemented in n150 with new conv-api.
Dimension: 1, 10, 2047, 255
Utilization:
op ----- Utilization
Conv1 ----- 3%
Conv2 ----- 16%
Conv3 ----- 14%
Conv4 ----- 8%
Conv…
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Executive summary:
The model is implemented in n150 with new conv-api.
Dimension: 1, 3, 128, 128
**Utilization:
op ----- Utilization**
Conv1 ----- 0%
Conv2 --…
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# Bug Report
**GPJax version:**
0.9.0
**Current behavior:**
The new changes from the previous `gpjax.objectives.ConjugateMLL` to the new `gpjax.objectives.conjugate_mll` implementation has…
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Detailed report on steps followed in the optimisation process.
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The issue with offloading is the very inefficient use of GPU (more than 90% of the unlearning time is spent on offloading and loading memory).
Instead, we could try to use parallelize the unlearning …
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Hello,
I tried the 'Optimization Tutorial' (https://amoeba2.readthedocs.io/en/latest/notebooks/optimization.html) and when I copy and paste the code exactly to optimise the fit of the simulated dat…
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### Prize category
Best Plugin
### Overview
This project includes the creation and integration of three unique models inside the Impact Engine Framework (IF) to support green computing practi…
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I have two questions: how was the data preprocessing handled? What is the optimisation algorithm used for model training(Or what the optimiser chose
)?
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We need to write unit tests for all the major features.
Starting point is the simulation model, but then extend to optimisations too.