Unable to load the state_dict for BinModel in demo example

[glgaines]

Working directly with the example code in https://github.com/dali92002/DocEnTR/blob/main/demo.ipynb

Tried the pretrained model params from the model zoo. when model.load_state_dict - Ran into the following error:

RuntimeError: Error(s) in loading state_dict for BinModel: Missing key(s) in state_dict: "encoder.to_patch_embedding.2.weight", "encoder.to_patch_embedding.2.bias", "encoder.to_patch_embedding.3.weight", "encoder.to_patch_embedding.3.bias".

size mismatch for encoder.pos_embedding: copying a param with shape torch.Size([1, 1025, 768]) from checkpoint, the shape in current model is torch.Size([1, 257, 768]).

size mismatch for encoder.to_patch_embedding.1.weight: copying a param with shape torch.Size([768, 192]) from checkpoint, the shape in current model is torch.Size([768]).

size mismatch for patch_to_emb.weight: copying a param with shape torch.Size([768, 192]) from checkpoint, the shape in current model is torch.Size([768]).

size mismatch for decoder_pos_emb.weight: copying a param with shape torch.Size([1025, 768]) from checkpoint, the shape in current model is torch.Size([257, 768]).

size mismatch for to_pixels.weight: copying a param with shape torch.Size([192, 768]) from checkpoint, the shape in current model is torch.Size([768, 768]).

size mismatch for to_pixels.bias: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([768]).

[daisyhaohao]

same problem

[masrur-ahmed]

try using python version 3.8.12

[dali92002]

You should be careful in using the right model, vit_model_size and vit_patch_size

[vm7608]

same problem, anyone have the solution for that :( ?

[vm7608]

I have found the following solution:

• Specify package version: vit-pytorch==0.24.3 and einops==0.3.2
• Choose the right pre trained ckpt and set the right value for setting and patch_size