In the downsampling and upsampling cancatenate, why use the first element as input?
If only chain the elements, will all the elements in the tensor get processed?
Why not input the whole tensor rather than chaining them?
Look forward to any help. Thank you.
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Chaining refers to the logical flow of data. These are actually actual function calls.
For custom functions, the body within the function definition is invoked. For tensorflow related calls, __call__ gets invoked on the layer instance.
As far as concatenating input tensors is concerned, do see the operations inside functions like upsampling_block does this operation internally. Depending on how the model layers are arranged, you’ll feed the data accordingly.
Thanks for your reminder and explaination.