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I see the possibility of using GAs with torchGA to optimize neural networks using genetic algorithms, but is it possible to use Pytorch instead of numpy arrays to speed up the computation time of GAs?
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It seems like this is the right kind of application which a GPU can speed up. Have you considered this?
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There's a whole large body of work on dimensionality reduction which handles non linearity better - i.e. UMAP. https://umap-learn.readthedocs.io/en/latest/
Is it simple to just "drop" this in place…
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### System Info
torch==2.4.0
transformers==4.43.4
trl==0.9.6
tokenizers==0.19.1
accelerate==0.32.0
peft==0.12.0
datasets==2.20.0
deepspeed==0.15.0
bitsandbytes==0.43.3
sentencepiece==0.2.0
…
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在训练tensorflow nonlocal的模型时加载了paddle nonlocal的imageNet上的预训练模型。遇到了如下报错：
2020-06-02 11:34:12.696932: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this Te
n…
ghost updated
4 years ago
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##### System information (version)
- OpenCV => 3.2
- Operating System / Platform => macOS Sierra (10.12.3)
- Compiler => gcc
##### Detailed description
OpenCV 3 has supported T-APIs (…
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Poster:
- [ ] better structure to 6. Results
- [ ] check if References are not cut out
- [ ] wrap up Tree picture
- [ ] check References if correct
- [ ] check grammar with Word
- [ ] make col…
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When I run the file: Part 1 Transfer Learning With VGG19 (building a CAM model) .
I have the following error.
Failed to get convolution algorithm. This is probably because cuDNN failed to initiali…
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One of the ideas behind this library was to create differentiable geometry. We need to solve Quadratic Error Functions for Dual contours (#15). In addition we may save some time by using Oct Trees, bu…
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With pull #217 in place, and the state of development of Remora, we can start pushing the first Algorithms to GPU. We should start with something small like(Logistic) Regression via ErrorFunction with…