With the dataset I am using it only makes sense to have one transform: k=(0, 1) dihedral transform.

I can’t figure out how to just pass that into the `transform`

argument of the Datablock.

I am trying this:

```
def _dihedral_affine(k:partial(uniform_int,0,1)):
"Randomly flip `x` image based on `k`."
x = -1 if k&1 else 1
y = -1 if k&2 else 1
if k&4: return [[0, x, 0.],
[y, 0, 0],
[0, 0, 1.]]
return [[x, 0, 0.],
[0, y, 0],
[0, 0, 1.]]
dihedral_affine = TfmAffine(_dihedral_affine)
tfms = [[dihedral_affine], []]
```

I then get the error in the datablock:

```
'TfmAffine' object has no attribute 'tfm'
```

In general, from the documentation I have no idea how one can build their own list of transformations like is created by `get_transforms`

.