These changes are made to handle variations in the input image size, ensuring that the tensors are compatible for operations like addition and concatenation. They dynamically adjust the dimensions of the tensors involved, maintaining the integrity of the model's computations without requiring fixed input dimensions. This way, the model can process images of varying sizes.
These changes are made to handle variations in the input image size, ensuring that the tensors are compatible for operations like addition and concatenation. They dynamically adjust the dimensions of the tensors involved, maintaining the integrity of the model's computations without requiring fixed input dimensions. This way, the model can process images of varying sizes.