this the model config.
CNN(
(hidden_layers): Sequential(
(0): Conv2d(1, 32, kernel_size=(9, 9), stride=(1, 1), padding=(4, 4))
(1): ReLU()
(2): Conv2d(32, 32, kernel_size=(9, 9), stride=(1, 1), padding=(4, 4))
(3): ReLU()
(4): Conv2d(32, 32, kernel_size=(9, 9), stride=(1, 1), padding=(4, 4))
(5): ReLU()
(6): Conv2d(32, 32, kernel_size=(9, 9), stride=(1, 1), padding=(4, 4))
(7): ReLU()
)
(output_layer): Conv2d(32, 1, kernel_size=(9, 9), stride=(1, 1), padding=(4, 4))
)
and my test inputs shape is [1,90,90]
how can I fit the test input to evaluate the model??