Think my model’s output values are pretty large, when I pass the input.
model_fp = PartialConvUNet()
img = torch.ones([1, 3, 256, 256])
mask = torch.ones([1, 3, 256, 256])
output = model_fp(img, mask)
print(output)

tensor([[[[  7.6655,  -0.8053,   3.6252,  ...,   4.2638,   8.6232,   3.3039],
          [  4.4455,  -4.1953,   0.1104,  ...,   3.5996,   7.1602,   4.6564],
          [  1.0595,  -4.2852,   0.7656,  ...,   4.1680,   6.3477,   2.9308],
          ...,
          [ 20.6318,  11.1790,   5.8915,  ...,   9.6741,   7.4005,   2.2128],
          [ 18.7051,   9.1751,   3.2128,  ...,   4.9373,   3.2832,   5.4050],
          [  1.8005,  -8.3266,  -5.7646,  ...,  -0.7729,  -1.1793,  13.2123]],