Comments (5)
A single 16GB GPU suffices for sampling and evaluating iGPT-L.
from image-gpt.
Can I run it on the CPU?
and also, a theoretical question, if it works on 16GB vram, will it also work with 3 6GB GPUs?
from image-gpt.
Can I run it on the CPU?
+1
from image-gpt.
Does your +1 mean yes? I'm also interested in knowing if this would run on CPU with 32GB or 64GB of RAM.
from image-gpt.
Does your +1 mean yes? I'm also interested in knowing if this would run on CPU with 32GB or 64GB of RAM.
yes it works, but it is extremely slow.
from image-gpt.
Related Issues (18)
- As detailed in the paper, it generates image one pixel at a time. Won't that make it slow ? HOT 1
- size mismatch for centroids: copying a param with shape torch.Size([512, 3]) from checkpoint, the shape in current model is torch.Size([16, 3]). HOT 1
- [Figure 3] - Linear Probe Accuracy HOT 1
- Pre-trained models for Bert Objective? HOT 1
- HELPP ! ImportError: cannot import name 'function'
- learning rate for pretraining
- BERT objective on google colab
- It won’t download correctly.
- nft
- Hi, this might be related to [midjourney 】does it matter?
- Oh c’mon you guys... HOT 15
- some question HOT 1
- Naruto
- Dockerfile HOT 7
- How to run in windows or colab pro? HOT 2
- Model runs faster with Hugging Face Transformers HOT 11
- A quick question: the provided code does not include model training? HOT 2
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