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Why training autoencoder architecture different from inference? #11

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ahan-2000 opened this issue Jun 19, 2024 · 1 comment
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@ahan-2000
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Hi, during training using the ipynb file we have a autoencoder architecture which differs from what we have imported as torch_models during the inference part. Why is it so?

@ahan-2000 ahan-2000 added the bug Something isn't working label Jun 19, 2024
@oke-aditya
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Can you check the torch_infer.py file it used the same model in training.

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