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Converted keras model has different parameters #127

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mike-zyz opened this issue Mar 11, 2021 · 1 comment
Open

Converted keras model has different parameters #127

mike-zyz opened this issue Mar 11, 2021 · 1 comment
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@mike-zyz
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The original PyTorch model has no bias (only weights) in certain Convo layers but the converted Keras model does have bias respectively. And the Keras model shows no BatchNorm2D layers compared to the PyTorch model. I am thinking that the code has conducted BN folding. Is there a way to switch off this function so it will be easier to match the weights?
@mike-zyz mike-zyz added the bug label Mar 11, 2021
@Tailwhip
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Tailwhip commented Jun 1, 2021

Have the same problem. Any updates?

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@Tailwhip @mike-zyz