How do I change a torch tensor to concat with another tensor
I'm trying to concatenate a tensor of numerical data with the output tensor of a resnet-50 model.  The output of that model is tensor shape torch.Size([10,1000]) and the numerical data is tensor shape torch.Size([10, 110528,8]) where the 10 is the batch size, 110528 is the number of observations in a data frame sense, and 8 is the number of columns (in a dataframe sense).  I need to reshape the numerical tensor to torch.Size([10,8]) so it will concatenate properly.

How would I reshape the tensor?   

Starting tensors.

a = torch.randn(10, 1000)
b = torch.randn(10, 110528, 8)


New tensor to allow concatenate.

c = torch.zeros(10,1000,7)


Check shapes.

a[:,:,None].shape, c.shape


(torch.Size([10, 1000, 1]), torch.Size([10, 1000, 7]))


Alter tensor a to allow concatenate.

a = torch.cat([a[:,:,None],c], dim=2)


Concatenate in dimension 1.

torch.cat([a,b], dim=1).shape


torch.Size([10, 111528, 8])

