Remove unused code

modules/textual_inversion/dataset.py

@@ -146,39 +146,6 @@ class PersonalizedBase(Dataset):
         return entry
 
 
-class GroupedBatchSampler(Sampler):
-    def __init__(self, data_source: PersonalizedBase, batch_size: int):
-        super().__init__(data_source)
-
-        n = len(data_source)
-        self.groups = data_source.groups
-        self.len = n_batch = n // batch_size
-        expected = [len(g) / n * n_batch * batch_size for g in data_source.groups]
-        self.base = [int(e) // batch_size for e in expected]
-        self.n_rand_batches = nrb = n_batch - sum(self.base)
-        self.probs = [e%batch_size/nrb/batch_size if nrb>0 else 0 for e in expected]
-        self.batch_size = batch_size
-
-    def __len__(self):
-        return self.len
-
-    def __iter__(self):
-        b = self.batch_size
-
-        for g in self.groups:
-            random.shuffle(g)
-
-        batches = []
-        for g in self.groups:
-            batches.extend(g[i*b:(i+1)*b] for i in range(len(g) // b))
-        for _ in range(self.n_rand_batches):
-            rand_group = random.choices(self.groups, self.probs)[0]
-            batches.append(random.choices(rand_group, k=b))
-
-        random.shuffle(batches)
-
-        yield from batches
-
 def greedy_pack(tails, b):
     '''inefficient suboptimal packing of remainders from each bucket'''
     by_len = defaultdict(list)