Comments (2)
leoxiaobin
commented on May 18, 2024
We use ptflops to compute the FLOPs, you can get it by specifying MODEL_SUMMARY to True.
Could you provide more details of the FLOPs computed by fvcore.nn?
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zhuchen03
commented on May 18, 2024
Mystery solved. I was testing the non-official code from https://github.com/rishikksh20/convolution-vision-transformers, where they did not do the downsampling for the key and values. So the FLOPs from this implementation is higher than yours. Your numbers should be correct. I just wish you had released your code earlier.
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Related Issues (20)
- About Cls_cvt.py HOT 2
- what should I change if I want to use a data set with images of 750* 184 HOT 1
- 22k model
- About the pretrained model HOT 4
- Question about the class token
- η²ΎεΊ¦
- As for Cifar10 or Cifar100
- How to calculate the flops of the model?
- recommended torch version may be wrong
- modelzoo not available!!!!! HOT 1
- Recommend change the code
- What's the accuracy of CvT-13 without pre-trained on CIFAR10
- model release
- How can I use CvT architecture to perform Semantic Segmentation?
- NAN loss HOT 4
- bugs when eval
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- the flops computed by this code don't match that in the paper
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