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Hi, thanks for your great job.
When I test 01_inference_pretrained.ipynb without any change, there occurs a mistake: "Initializer expected to generate shape (444, 256) but got shape (472, 256) instead for parameter "kernel" in "/diffusion_model/reverse_network/Dense_0". (https://flax.readthedocs.io/en/latest/api_reference/flax.errors.html#flax.errors.ScopeParamShapeError) python-BaseException"
What is the reason and how to solve it? Thank you for your kind response.
The text was updated successfully, but these errors were encountered:
It has no problem now. The reason is that my partner changed the pred_horizon in the octo-small checkpoint file config.json to 8. So it is ok.
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Hi, thanks for your great job.
When I test 01_inference_pretrained.ipynb without any change, there occurs a mistake: "Initializer expected to generate shape (444, 256) but got shape (472, 256) instead for parameter "kernel" in "/diffusion_model/reverse_network/Dense_0". (https://flax.readthedocs.io/en/latest/api_reference/flax.errors.html#flax.errors.ScopeParamShapeError) python-BaseException"
What is the reason and how to solve it? Thank you for your kind response.
The text was updated successfully, but these errors were encountered: