Hi,
I don’t think it solve my problem 
I would like to transform my input Ht = [1,49,64,64] into Yt = [1,3,128,128] given the following parameters -> out_channels = 3, kernel_size=5, dilation=(1,1), padding=(1,1), stride=(2,2)
The layer LocallyConnected2dTranspose must behave like a transposed convolution but without weight sharing.
In the code method you propose unfold Ht will generate a lower dimension output thus creating a dimension mismatch.