subtraction of scalar from tensor yields 'inconsistent tensor size' in pytorch
I'm using pytorch and my variables are

x = [torch.FloatTensor of size 1x3x32x32]
mean = Variable containing:
1.00000e-02 *
  2.0518
[torch.FloatTensor of size 1]


what I want to do is subtract the scalar mean from x by doing

x = x - mean


However, I'm getting this error:

RuntimeError: inconsistent tensor size at /py/conda-
bld/pytorch_1493670682084/work/torch/lib/TH/generic/THTensorMath.c:831


What am I doing wrong?
Thanks a lot

what you are trying only works if mean is truly a scalar, i.e. a float() (in this case) and not a torch.FloatTensor of size 1. You can either extract a true scalar from mean or expand mean to the size of x in order to perform the subtraction. 

To extract the float from mean, do: 

x = x - mean[0]


To expand mean to the size of x, do: 

x = x - mean.expand_as(x)


Note that both of these methods subtract the mean from each element in your tensor. 
