I figured out the slow dataloader, and all my dataset was not used...
turned that
```
def __getitem__(self, index):
items_with_index = list(enumerate(self._label))
img0_index, img0_tuple = random.choice(items_with_index)
```
into this
```
def __getitem__(self, index):
img0_tuple = self._label[index]
```
and put the `item_with_index` as a member, so it's not computed everytime for
`img1_index, img1_tuple = random.choice(self._items_with_index)`
But still not converging, embedding plot looking always the same despite the
loss being reduced....
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