koila
TorchGA
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koila
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How to fix CUDA out of memory with Koila?
but I always get CUDA out of memory . Long story short I found koila which should fix this issue, but I'm not sure how to add this to my code. in their page they have (input, label) = lazy(input, label, batch=0) but i kinda feel lost. can you help me please.
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Pytorch CUDA out of memory persists after lowering batch size and clearing gpu cache
Having 53760 neurons takes much memory. Try adding more Conv2D layers or play with stride. Also, try .detach() to data and labels after training. Lastly, I would suggest to take a look at https://github.com/rentruewang/koila. Have not tried yet but it should be helpful.
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[D] Would the 8gb VRAM of the 3060ti mean that some models in computer vision cannot be trained with it at all?
Tools like this can help: https://github.com/rentruewang/koila
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[P] Dynamic batching for GPT-J API
You could take a look at how these guys are determining memory batch size limits... https://github.com/rentruewang/koila
- Koila: Prevent PyTorch's out of memory error with lazy evaluation
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Solve PyTorch's `CUDA error: out of memory` in 1 line of code
Project Link
- Show HN: Solve `CUDA error: out of memory` in one line of code
TorchGA
- PyGAD 2.13.0 Released! A Python 3 Library for Building the Genetic Algorithm and Training Machine Learning Algorithms (Supports Keras and PyTorch)
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Train PyTorch Models Using Genetic Algorithm with PyGAD
Link of the GitHub project that prepares the PyTorch models for use with PyGAD: https://github.com/ahmedfgad/TorchGA
The source code of the pygad.torchga module is available at the ahmedfgad/TorchGA GitHub project.
What are some alternatives?
torchsynth - A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.
de-torch - Minimal PyTorch Library for Differential Evolution
bittensor - Internet-scale Neural Networks
PySR - High-Performance Symbolic Regression in Python and Julia
gpt-j-api-huggingface
snntorch - Deep and online learning with spiking neural networks in Python
tributary - Streaming reactive and dataflow graphs in Python
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
thrash-protect - Simple-Stupid user-space program doing "kill -STOP" and "kill -CONT" to protect from thrashing. It works a bit like the ABS break on the car.
image-background-remove-tool - ✂️ Automated high-quality background removal framework for an image using neural networks. ✂️