Comments (3)
csrhddlam
commented on September 16, 2024
Sorry we don't have free GPU resources to run more models, but please let me know if you have run some other models.
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Shujun-He
commented on September 16, 2024
I have a 2x3090 machine so I can run some models. Do I just run the train script?
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csrhddlam
commented on September 16, 2024
Sounds great!
Yes, just follow the command line in the README, but you might need to linearly scale the learning rate and batch size accordingly.
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Related Issues (20)
- About the class activation map HOT 3
- position-sensitive attention HOT 1
- Seems dist_train.py didn't wrap the model with the synchronize batch norm HOT 2
- Confused about the `transpose` in positional encoding of key HOT 1
- Confused about the shape of relative position encoding HOT 4
- how does axial-attention support multi-scale training/testing? HOT 1
- Question about table 9 in paper HOT 3
- What's HERE?? HOT 1
- Training with non-square images HOT 1
- It seems that the code of qkv_transform is missing. HOT 1
- Question about Axial-Res50 HOT 2
- 关于AxialAttention中kernel_size的问题 HOT 1
- Shape of relative position encoding r^q, r^k, r^v HOT 1
- About local constraints HOT 2
- Pretrain_weights HOT 1
- about function parameter “s=0.5” in code
- why batchnormalization after qkv transform?
- Different resolution for inference
- Can it be used in video tasks?
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