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bsrinivas8687 avatar bsrinivas8687 commented on July 29, 2024

@rykov8

I think the problem is with Normalize layer.
To run the model with 'th' image_dim_ordering, we must have same input_shapes.
So instead of Normalize layer can we use BatchNormalization Layer which has 4D shape?

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tomochi222 avatar tomochi222 commented on July 29, 2024

According to the official, for three-dimensional data, "tf" is regarded as (conv_dim1, conv_dim2, conv_dim3, channels) and "th" is considered as (channels, conv_dim1, conv_dim2, conv_dim3).

So, It may be impossible to load the model with "th" image_dim_order. Would you already try to load the model with "tf" image_dim_order?

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