koila
tributary
| koila | tributary | |
|---|---|---|
| 7 | 3 | |
| 1,817 | 23 | |
| - | - | |
| 6.8 | 6.7 | |
| 20 days ago | 3 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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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
tributary
- Show HN: Mr. Graph. A graph deifnition and execution library for Python
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Show HN: Hamilton, a Microframework for Creating Dataframes
Having worked on "Dagger", you may be interested in https://github.com/timkpaine/tributary
- A simple lazy Python Calculation Engine (with spreadsheet demo)
What are some alternatives?
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
lazy-table - A python-tabulate wrapper for producing tables from generators
torchsynth - A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.
webssh - :seedling: Web based ssh client
bittensor - Internet-scale Neural Networks
asyncauth - A powerful, simple, and async security library for Sanic. [Moved to: https://github.com/sunset-developer/sanic-security]
gpt-j-api-huggingface
datajob - Build and deploy a serverless data pipeline on AWS with no effort.
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
plugin.video.sendtokodi - :tv: plays various stream sites on kodi using youtube-dl
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.
amyrose - A powerful, simple, and async authentication and authorization library for Sanic. [Moved to: https://github.com/sunset-developer/asyncauth]