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This is an umbrella issue for tracking the work on optimizations in Cubed.
## Creation optimizations
Making creation operations more efficient, typically by not materializing unnecessary data.
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Either using our micro-benchmarks or TechEmpower
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This is a tracking issue for the action item proposed and accepted for the TAG ENV 2024 roadmap see https://github.com/cncf/tag-env-sustainability/issues/321. Proposed originally [here](https://github…
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I was working through this benchmark and I noticed something. The store which all the tests are based on is based on mutating plain javascript objects. While this is fully something one can do and it'…
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Tracking the performance of the engine early on is crucial for its success. There are established techniques such as [Perft](https://www.chessprogramming.org/Perft): I should pull the data pre-calcula…
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Hey, I'm trying to run_video.py on my video and use TRT but get this error.
~/TracKit$ python tracking/run_video.py --arch OceanTRT --video videos/1.mp4
===> init Siamese load model from TRT pleas…
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train loss always 0.2 and 0.3 ,however,test can get a good result,why loss?
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Hello,
Let me start by saying that I am a fan of your work here. I have recently open-sourced by GNN-based meta-learning method for optimization. I have applied it to the sparse index-tracking prob…
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```
λ mypy --version
mypy 1.11.2 (compiled: yes)
λ uv pip show torch
Using Python 3.11.8 environment at /Users/shantanu/.virtualenvs/openai-wfht
Name: torch
Version: 2.1.0
Lo…
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Considering a lot of time goes into optimizing the speed of UMAP it seems necessary to have some kind of bechmark/suite to evaluate performance.
**EDIT:**
A collection of useful links to get start…