You can set the transforms of a dataset programatically like so:
for a_idx in range(128):
    train_loader.dataset.transforms=albumentations_transform_0

Is it possible to do this with Python formats?  I tried this:
for a_idx in range(128):
    train_loader.dataset.transforms=f"albumentations_transform_{a_idx}"

TypeError: Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/opt/conda/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 178, in _worker_loop
    data = fetcher.fetch(index)
  File "/opt/conda/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/opt/conda/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "<ipython-input-18-4a491769a098>", line 30, in __getitem__
    augmented = self.transforms(image=image)
TypeError: 'str' object is not callable