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[ProcessingIdefics] Attention mask bug with padding (#29449)

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* Defaulted IdeficsProcessor padding to 'longest', removed manual padding

* make fixup

* Defaulted processor call to padding=False

* Add padding to processor call in IdeficsModelIntegrationTest as well

* Defaulted IdeficsProcessor padding to 'longest', removed manual padding

* make fixup

* Defaulted processor call to padding=False

* Add padding to processor call in IdeficsModelIntegrationTest as well

* redefaulted padding=longest again

* fixup/doc
This commit is contained in:
byi8220
2024-04-04 05:11:09 -04:00
committed by GitHub
parent 4e6c5eb045
commit 75b76a5ea4
3 changed files with 51 additions and 20 deletions
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41
tests/models/idefics/test_processor_idefics.py
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@@ -124,7 +124,7 @@ class IdeficsProcessorTest(TestCasePlus):
prompts = self.prepare_prompts()
# test that all prompts succeeded
input_processor = processor(prompts, return_tensors="pt")
input_processor = processor(prompts, return_tensors="pt", padding="longest")
for key in self.input_keys:
assert torch.is_tensor(input_processor[key])
@@ -151,14 +151,51 @@ class IdeficsProcessorTest(TestCasePlus):
"<s> Describe this image.\nAssistant:<unk><unk><unk><unk><unk><unk><unk><unk><unk>",
"<s> Describe this image.\nAssistant:<unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>",
]
predicted_attention_masks = [
([1] * 10) + ([0] * 9),
([1] * 10) + ([0] * 10),
]
prompts = [[prompt] for prompt in self.prepare_prompts()[2]]
max_length = processor(prompts, padding="max_length", truncation=True, max_length=20)
longest = processor(prompts, padding="longest", truncation=True, max_length=30)
decoded_max_length = processor.tokenizer.decode(max_length["input_ids"][-1])
decoded_longest = processor.tokenizer.decode(longest["input_ids"][-1])
self.assertEqual(decoded_max_length, predicted_tokens[1])
self.assertEqual(decoded_longest, predicted_tokens[0])
self.assertListEqual(max_length["attention_mask"][-1].tolist(), predicted_attention_masks[1])
self.assertListEqual(longest["attention_mask"][-1].tolist(), predicted_attention_masks[0])
def test_tokenizer_left_padding(self):
"""Identical to test_tokenizer_padding, but with padding_side not explicitly set."""
image_processor = self.get_image_processor()
tokenizer = self.get_tokenizer()
processor = IdeficsProcessor(tokenizer=tokenizer, image_processor=image_processor)
predicted_tokens = [
"<unk><unk><unk><unk><unk><unk><unk><unk><unk><s> Describe this image.\nAssistant:",
"<unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><s> Describe this image.\nAssistant:",
]
predicted_attention_masks = [
([0] * 9) + ([1] * 10),
([0] * 10) + ([1] * 10),
]
prompts = [[prompt] for prompt in self.prepare_prompts()[2]]
max_length = processor(prompts, padding="max_length", truncation=True, max_length=20)
longest = processor(prompts, padding="longest", truncation=True, max_length=30)
decoded_max_length = processor.tokenizer.decode(max_length["input_ids"][-1])
decoded_longest = processor.tokenizer.decode(longest["input_ids"][-1])
self.assertEqual(decoded_max_length, predicted_tokens[1])
self.assertEqual(decoded_longest, predicted_tokens[0])
self.assertListEqual(max_length["attention_mask"][-1].tolist(), predicted_attention_masks[1])
self.assertListEqual(longest["attention_mask"][-1].tolist(), predicted_attention_masks[0])
def test_model_input_names(self):
image_processor = self.get_image_processor()
tokenizer = self.get_tokenizer()
@@ -166,7 +203,7 @@ class IdeficsProcessorTest(TestCasePlus):
processor = IdeficsProcessor(tokenizer=tokenizer, image_processor=image_processor)
prompts = self.prepare_prompts()
inputs = processor(prompts)
inputs = processor(prompts, padding="longest")
# For now the processor supports only ['pixel_values', 'input_ids', 'attention_mask']
self.assertSetEqual(set(inputs.keys()), set(self.input_keys))