I have a multi-dimensional tensor of and I want to change the value at only certain indices. I tried the numpy method of indexing using a list of indices but its producing some weird and inconsistent behavior. Sometimes it works as I want it to but at some, apparently arbitrary, indices I get an out-of-bounds error. Please look at the code below to get an idea of what I am talking about:

```
>>> import torch
>>> a = torch.zeros((3,3))
>>> idxs = [(2,2),(2,1)]
>>> a[idxs] = 2
>>> a
tensor([[ 0., 0., 0.],
[ 0., 0., 0.],
[ 0., 2., 2.]])
# This is is exactly what I wanted
# Now for the weirdness
>>> a = torch.zeros((6,32))
>>> idxs = [(2,6),(2,1)]
>>> a[idxs]
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
RuntimeError: invalid argument 2: out of range: 193 out of 192 at /pytorch/aten/src/TH/generic/THTensorMath.c:430
# I tried the same indices, in the reverse order and no error
>>> idxs = [(2,1),(2,6)]
>>> a[idxs]
tensor([ 0., 0.])
```

Any idea what I am doing wrong?

Most probably its not a bug and I have some misunderstanding about how this format of indexing works in pytorch.