Demystify Transposed Convolutional Layer

padding.py

# Create a TCL layer with stride=2, padding=1
transConv3 = nn.ConvTranspose2d(1, 1, 3, stride=2, padding=1, bias=False)
# Set kernel weights to be 1
transConv3.weight.data = torch.ones(1,1,3,3)
# Calculate
transConv3(input_data)

# Output:
# tensor([[[[ 1.,  3.,  2.],
#           [ 4., 10.,  6.],
#           [ 3.,  7.,  4.]]]])