sort self.word_embeddings without instantiating it a new dict
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@ -2,7 +2,7 @@ import os
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import sys
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import traceback
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import inspect
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from collections import namedtuple, OrderedDict
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from collections import namedtuple
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import torch
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import tqdm
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@ -108,7 +108,7 @@ class DirWithTextualInversionEmbeddings:
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class EmbeddingDatabase:
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def __init__(self):
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self.ids_lookup = {}
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self.word_embeddings = OrderedDict()
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self.word_embeddings = {}
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self.skipped_embeddings = {}
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self.expected_shape = -1
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self.embedding_dirs = {}
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@ -234,7 +234,10 @@ class EmbeddingDatabase:
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embdir.update()
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# re-sort word_embeddings because load_from_dir may not load in alphabetic order.
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self.word_embeddings = {e.name: e for e in sorted(self.word_embeddings.values(), key=lambda e: e.name.lower())}
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# using a temporary copy so we don't reinitialize self.word_embeddings in case other objects have a reference to it.
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sorted_word_embeddings = {e.name: e for e in sorted(self.word_embeddings.values(), key=lambda e: e.name.lower())}
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self.word_embeddings.clear()
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self.word_embeddings.update(sorted_word_embeddings)
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displayed_embeddings = (tuple(self.word_embeddings.keys()), tuple(self.skipped_embeddings.keys()))
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if self.previously_displayed_embeddings != displayed_embeddings:
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