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Hi,
In the [original paper](https://arxiv.org/pdf/1602.01783.pdf), it mentions that it uses multi threads. But I see in your code, you are using multi-process. As far as I know, these two methods a…
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Just came across this article and started to wonder if it is also another option to speed up the raytracing in Python.
https://medium.com/@urban_institute/using-multiprocessing-to-make-python-code-…
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Hi,
I hacked around a bit to make shiva-indexer run on multiple CPUs. "Rough around the edges" would be a compliment, because it breaks lastfm and took some heavy refactoring, but I am happy with the…
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### Title
In this project the face expressions will be classified into 7 types of expression that is sad, happy ,surprise, angry ,neutral , disgust,
### Enhancement Aim
To implement a comprehensi…
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attempting to use fork() and pipe() to increase the speed of communication and message passing
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As codecs do, selecting the right size of each frame would lead to better transients treatment. A new multiband onset detection would be needed and processing would be much more but could be optional.
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1. Implement multi-threading for individuals; and
2. Implement multi-process for folds.
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hi
I am a Halide user.
I was wondering which is the most efficient way to process an image stack, for example to create the 'max' ouput image:
output(x,y) = max_{i = 0, ...N - 1 } ( input_i(x,y…
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Hi, thank you for the great library.
I've been using datasets to pretrain language models, and it often involves datasets as large as ~70G.
My data preparation step is roughly two steps: `load_dat…
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**Issue Description:**
The current implementation of `save_load_state.py` in `danswer/backend/scripts` can be improved for better performance and efficiency. Below are three key areas that need opt…