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Load on laptop CPUs #41
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I am not sure if PyTorch supports AMD GPUs. You can train your model on the Intel CPUs, But it will be quite slow. I haven't trained any model on an everyday use laptop by myself. |
How much time does it take on your computer? |
It takes 3-4 hours for pix2pix training on facades datasets with a Nvidia GTX 1080 GPU. |
Haven't you saved the model? so that we can use it without training? |
There are a few pix2pix and cyclegan models available. See this post on pre-trained models for more details. |
Add a hint for those who searched 'time' to get here: which means that if you use a desktop nvidia gpu, like GTX 745 I am using, It has a 4GB vram (50% of the GTX1080), then it shall use 6-8 hours IF ONLY CONSIDERS THE BATCH SIZE LOSS And If you are using cpu, consider a desktop i7 with enough RAM , it is about 48-64 hours in total (800% time consuming) for a laptop 4GB RAM, you need to reduce the batch size, which is ... even slower, and if you are using i5-laptop-version, please save your time and don't even try |
I have an HP Notebook - 15-ac026tx with Intel i5 (5th gen), 4GB RAM, 2GB AMD Radeon graphics card.Full Specifications
I want to run your code on my laptop. Won't it harm my laptop battery and its hardware?
I read somewhere on the Internet that training high computation models can severely harm laptops?
I just want to know is it okay if I train it on my laptop?
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