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more explicit equality tests when overwriting

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This commit is contained in:
Damian Stewart 2022-12-15 13:39:09 +01:00
parent 44d8a5a7c8
commit beb1b08d9a
1 changed files with 11 additions and 4 deletions
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15
tests/test_textual_inversion.py
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@ -319,8 +319,10 @@ class TextualInversionManagerTestCase(unittest.TestCase):
overwritten_prompt_embeddings = tim.overwrite_textual_inversion_embeddings(padded_prompt_token_ids, default_prompt_embeddings) overwritten_prompt_embeddings = tim.overwrite_textual_inversion_embeddings(padded_prompt_token_ids, default_prompt_embeddings)
self.assertFalse(torch.equal(default_prompt_embeddings, overwritten_prompt_embeddings)) self.assertFalse(torch.equal(default_prompt_embeddings, overwritten_prompt_embeddings))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[0:4], default_prompt_embeddings[0:4]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[4], test_embedding_1v_1[0])) self.assertTrue(torch.equal(overwritten_prompt_embeddings[4], test_embedding_1v_1[0]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[5], test_embedding_1v_2[0])) self.assertTrue(torch.equal(overwritten_prompt_embeddings[5], test_embedding_1v_2[0]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[6:77], default_prompt_embeddings[6:77]))
# at the start # at the start
prompt_token_ids = [test_embedding_1v_1_token_id, test_embedding_1v_2_token_id] + KNOWN_WORDS_TOKEN_IDS prompt_token_ids = [test_embedding_1v_1_token_id, test_embedding_1v_2_token_id] + KNOWN_WORDS_TOKEN_IDS
@ -331,8 +333,10 @@ class TextualInversionManagerTestCase(unittest.TestCase):
overwritten_prompt_embeddings = tim.overwrite_textual_inversion_embeddings(padded_prompt_token_ids, default_prompt_embeddings) overwritten_prompt_embeddings = tim.overwrite_textual_inversion_embeddings(padded_prompt_token_ids, default_prompt_embeddings)
self.assertFalse(torch.equal(default_prompt_embeddings, overwritten_prompt_embeddings)) self.assertFalse(torch.equal(default_prompt_embeddings, overwritten_prompt_embeddings))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[0:1], default_prompt_embeddings[0:1]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[1], test_embedding_1v_1[0])) self.assertTrue(torch.equal(overwritten_prompt_embeddings[1], test_embedding_1v_1[0]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[2], test_embedding_1v_2[0])) self.assertTrue(torch.equal(overwritten_prompt_embeddings[2], test_embedding_1v_2[0]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[3:77], default_prompt_embeddings[3:77]))
# clumped in the middle # clumped in the middle
prompt_token_ids = KNOWN_WORDS_TOKEN_IDS[0:1] + [test_embedding_1v_1_token_id, test_embedding_1v_2_token_id] + KNOWN_WORDS_TOKEN_IDS[1:3] prompt_token_ids = KNOWN_WORDS_TOKEN_IDS[0:1] + [test_embedding_1v_1_token_id, test_embedding_1v_2_token_id] + KNOWN_WORDS_TOKEN_IDS[1:3]
@ -343,12 +347,13 @@ class TextualInversionManagerTestCase(unittest.TestCase):
overwritten_prompt_embeddings = tim.overwrite_textual_inversion_embeddings(padded_prompt_token_ids, default_prompt_embeddings) overwritten_prompt_embeddings = tim.overwrite_textual_inversion_embeddings(padded_prompt_token_ids, default_prompt_embeddings)
self.assertFalse(torch.equal(default_prompt_embeddings, overwritten_prompt_embeddings)) self.assertFalse(torch.equal(default_prompt_embeddings, overwritten_prompt_embeddings))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[0:2], default_prompt_embeddings[0:2]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[2], test_embedding_1v_1[0])) self.assertTrue(torch.equal(overwritten_prompt_embeddings[2], test_embedding_1v_1[0]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[3], test_embedding_1v_2[0])) self.assertTrue(torch.equal(overwritten_prompt_embeddings[3], test_embedding_1v_2[0]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[4:77], default_prompt_embeddings[4:77]))
# scattered # scattered
""" prompt_token_ids = KNOWN_WORDS_TOKEN_IDS[0:1] + [test_embedding_1v_1_token_id] + KNOWN_WORDS_TOKEN_IDS[1:2] + [test_embedding_1v_2_token_id] + KNOWN_WORDS_TOKEN_IDS[2:3]
prompt_token_ids = KNOWN_WORDS_TOKEN_IDS[0:1] + [test_embedding_1v_1_token_id] + KNOWN_WORDS_TOKEN_IDS[1:2] + test_embedding_1v_2_token_id] + KNOWN_WORDS_TOKEN_IDS[2:3]
expanded_prompt_token_ids = tim.expand_textual_inversion_token_ids(prompt_token_ids) expanded_prompt_token_ids = tim.expand_textual_inversion_token_ids(prompt_token_ids)
padded_prompt_token_ids = [tim.clip_embedder.tokenizer.bos_token_id] + \ padded_prompt_token_ids = [tim.clip_embedder.tokenizer.bos_token_id] + \
expanded_prompt_token_ids + \ expanded_prompt_token_ids + \
@ -356,8 +361,10 @@ class TextualInversionManagerTestCase(unittest.TestCase):
overwritten_prompt_embeddings = tim.overwrite_textual_inversion_embeddings(padded_prompt_token_ids, default_prompt_embeddings) overwritten_prompt_embeddings = tim.overwrite_textual_inversion_embeddings(padded_prompt_token_ids, default_prompt_embeddings)
self.assertFalse(torch.equal(default_prompt_embeddings, overwritten_prompt_embeddings)) self.assertFalse(torch.equal(default_prompt_embeddings, overwritten_prompt_embeddings))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[0:2], default_prompt_embeddings[0:2]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[2], test_embedding_1v_1[0])) self.assertTrue(torch.equal(overwritten_prompt_embeddings[2], test_embedding_1v_1[0]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[3], test_embedding_1v_2[0])) self.assertTrue(torch.equal(overwritten_prompt_embeddings[3], default_prompt_embeddings[3]))
""" self.assertTrue(torch.equal(overwritten_prompt_embeddings[4], test_embedding_1v_2[0]))
self.assertTrue(torch.equal(overwritten_prompt_embeddings[5:77], default_prompt_embeddings[5:77]))