rishikksh20 / ceit-pytorch Goto Github PK
View Code? Open in Web Editor NEWImplementation of Convolutional enhanced image Transformer
License: MIT License
Implementation of Convolutional enhanced image Transformer
License: MIT License
Hi @rishikksh20,
Thank you for your great work. When I give an image 224x224, it works fine. Then, I just changed image 224 to 112x112 and it gives an error. Any advice?
Code
"CeiT": CeiT(
GPU_ID=GPU_ID,
image_size=112,
patch_size=4,
dim=512,
depth=20,
num_classes=NUM_CLASS,
heads=8,
dropout=0.1,
emb_dropout=0.1
)
Traceback
raise EinopsError(' Error while computing {!r}\n {}'.format(self, e))
einops.EinopsError: Error while computing Rearrange('b c (h w) -> b c h w', h=14, w=14)
Shape mismatch, 49 != 196
I wonder why the image size for cifar is 224?
Is this just for convenience?
Hello, I'm appreciate that your work help me a lot. I have a question that dose Transformer model need parameters initialization?
raise EinopsError('Shape mismatch, {} != {}'.format(length, known_product))
einops.EinopsError: Shape mismatch, 4 != 196
Are there any instructions to help me train the model on other datasets mentioned in the paper, e.g., Oxford pets?
As I understood, as of now, it is just possible to train on CIFAR10 or CIFAR100.
I would appreciate any clues that point me in the right direction.
Thanks a lot.
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