While constructing a QuanvolutionalNeuralNetwork, I realized that to have restrictions on the max size of the kernel/filter and stride of the quanvolutional layer, information about the dimensions of the image is necessary.
This will perhaps bring a huge change to the pipeline since everything as of now (before this issue) depends on num_qubits = int(math.prod(img_dimen)).
While constructing a
QuanvolutionalNeuralNetwork
, I realized that to have restrictions on the max size of thekernel/filter
andstride
of thequanvolutional layer
, information about the dimensions of the image is necessary.This will perhaps bring a huge change to the pipeline since everything as of now (before this issue) depends on
num_qubits = int(math.prod(img_dimen))
.