How does Spatial Dropout work in the inference compared to Dropout?

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I would like to deploy a trained Keras model on a microcontroller. However, there is no support for Spatial Dropout layer. I thought about removing the layer from the graph similarly to the Dropout layer. However I didn't find any indication on how the Spatial Dropout works in inference.

I have tried to look into the documentations or similar problem but couldn't find any indication about it.

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